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Love AI and Tech and Dawgpreneurship. Light focus on the DEEP STATE - Lets go to therapy together if possible.
909following13kfollowers
The Innovator
Spencer Baggins thrives at the intersection of AI, tech, and entrepreneurial hustle, using sharp insights to democratize advanced tech knowledge. With a playful nod to conspiracies and mental health, Spencer brings fresh energy and curiosity to every deep dive. His feed is a go-to for understanding AI’s latest breakthroughs and practical applications.
Spencer tweets so much tech jargon and AI deep-dives that his followers probably need a GPT model just to decode his own bio—talk about meta automation! Maybe one day he’ll automate his tweets so he can actually take that therapy session.
Garnered hundreds of thousands of views and thousands of likes on multiple informative threads that helped thousands of users leverage AI for trading, learning, and work automation—solidifying his reputation as a practical AI thought sharer.
Spencer believes in the transformative power of AI and technology to revolutionize learning, work, and daily life, while maintaining a healthy skepticism about institutional narratives and valuing mental wellness.
Exceptional ability to break down complex AI concepts into accessible, engaging content; skilled at spotting tech trends before they go mainstream; and a strong knack for building informative and viral tweet threads.
May sometimes dive too deep into niche tech jargon or theories which could alienate casual followers; tendency to follow a high volume of accounts (909) might dilute personal brand focus; occasional conspiracy leanings might polarize some audience segments.
Focus on building stronger engagement by creating a series of interactive Twitter Spaces on AI topics, and curate content that invites casual tech fans with simple explanations or questions. Streamline who you follow to keep your feed focused and boost your voice, while threading deep tech insights with light humor to widen your audience appeal.
Fun fact: Spencer doesn’t just talk AI, he actively shares actionable prompts and tools like GPTs that help others automate tedious tasks—making him a practical tech evangelist rather than just an enthusiast.
Chief AI Officer @mightybeargames & @playgoatgaming • 🇫🇷 in 🇸🇬 • Innovating AI tools & leading creative teams • Connect for AI insights & collaboration.
Cooperative network for verifiable compute @novanet_zkp (DeSCI) I work where AI meets cryptography: @kinic_app . “What do you do for others? #runawayZK
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BREAKING: Google just killed traditional classrooms.\n\nGemini for Education turns every student into a personalized learning machine with AI tutors, instant quizzes, and visual explainers.\n\n10 wild features that just dropped: https://t.co/6Dsd3A1hA1","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[0,133],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1947608494276010017","view_count":416344,"bookmark_count":7438,"created_at":1753181024000,"favorite_count":2664,"quote_count":11,"reply_count":54,"retweet_count":384,"user_id_str":"1433898842865520644","conversation_id_str":"1947608494276010017","full_text":"Grok 4 is a GENIUS stock trader.\n\nBut most people don't know how to use it.\n\nHere are 10 prompts to use for stock trading 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MIT just humiliated every major AI lab and nobody’s talking about it.\n\nThey built a new benchmark called WorldTest to see if AI actually understands the world… and the results are brutal.\n\nEven the biggest models Claude, Gemini 2.5 Pro, OpenAI o3 got crushed by humans.\n\nHere’s what makes it different:\n\nWorldTest doesn’t check how well an AI predicts the next word or frame.\nIt measures if it can build an internal model of reality and use that to handle new situations.\n\nThey built AutumnBench 43 interactive worlds, 129 tasks where AIs must:\n\n• Predict hidden parts of the world (masked-frame prediction)\n• Plan multi-step actions to reach goals\n• Detect when the rules of the environment suddenly change\n\nThen they tested 517 humans vs the top models.\nHumans dominated every category.\nEven massive compute scaling barely helped.\n\nThe takeaway is wild:\n\nToday’s AIs don’t understand environments they just pattern-match inside them. 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Wildly different results.\n\nI’ve included videos to prove it:\n\nTHREAD ↓ https://t.co/KRzTRnVXnk","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[0,133],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1954813776815120743","view_count":263245,"bookmark_count":5232,"created_at":1754898897000,"favorite_count":1930,"quote_count":6,"reply_count":33,"retweet_count":268,"user_id_str":"1433898842865520644","conversation_id_str":"1954813776815120743","full_text":"Grok 4 is a GENIUS stock trader.\n\nBut most people don't know how to use it.\n\nHere are 10 prompts to use for stock trading automation:","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[0,133],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1911357668876583154","view_count":378464,"bookmark_count":6256,"created_at":1744538154000,"favorite_count":1827,"quote_count":5,"reply_count":32,"retweet_count":230,"user_id_str":"1433898842865520644","conversation_id_str":"1911357668876583154","full_text":"Grok 3 is a GENIUS stock trader.\n\nBut most people don't know how to use it.\n\nHere are 10 prompts to use for stock trading automation:","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[0,134],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1951935160926306410","view_count":246808,"bookmark_count":3982,"created_at":1754212582000,"favorite_count":1803,"quote_count":2,"reply_count":30,"retweet_count":160,"user_id_str":"1433898842865520644","conversation_id_str":"1951935160926306410","full_text":"I don’t get it. Most people still ignore GPTs inside ChatGPT.\n\nHere are 10 GPTs that can save you hours every week (and they’re free):","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[0,235],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":true,"lang":"en","retweeted":true,"fact_check":null,"id":"1957012284959871198","view_count":260962,"bookmark_count":4003,"created_at":1755423062000,"favorite_count":1712,"quote_count":5,"reply_count":43,"retweet_count":179,"user_id_str":"1433898842865520644","conversation_id_str":"1957012284959871198","full_text":"After 2 years of using ChatGPT, I can say that it is the technology that has revolutionized my life the most, along with the Internet.\n\nSo here are 10 prompts that have transformed my day-to-day life and that could do the same for you:","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[0,117],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1914239349627171238","view_count":345249,"bookmark_count":3828,"created_at":1745225200000,"favorite_count":1659,"quote_count":4,"reply_count":25,"retweet_count":138,"user_id_str":"1433898842865520644","conversation_id_str":"1914239349627171238","full_text":"BREAKING: Remote jobs in USD are now open to everyone.\n\nHere’s the easiest way to find jobs that actually pay in 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prompt engineering ☠️\n\nThis new Stanford paper just made it irrelevant with a single technique.\n\nIt's called Verbalized Sampling and it proves aligned AI models aren't broken we've just been prompting them wrong this whole time.\n\nHere's the problem: Post-training alignment causes mode collapse. Ask ChatGPT \"tell me a joke about coffee\" 5 times and you'll get the SAME joke. Every. Single. Time.\n\nEveryone blamed the algorithms. Turns out, it's deeper than that.\n\nThe real culprit? 'Typicality bias' in human preference data. Annotators systematically favor familiar, conventional responses. This bias gets baked into reward models, and aligned models collapse to the most \"typical\" output.\n\nThe math is brutal: when you have multiple valid answers (like creative writing), typicality becomes the tie-breaker. The model picks the safest, most stereotypical response every time.\n\nBut here's the kicker: the diversity is still there. It's just trapped.\n\nIntroducing \"Verbalized Sampling.\"\n\nInstead of asking \"Tell me a joke,\" you ask: \"Generate 5 jokes with their probabilities.\"\n\nThat's it. No retraining. No fine-tuning. Just a different prompt.\n\nThe results are insane:\n\n- 1.6-2.1× diversity increase on creative writing\n- 66.8% recovery of base model diversity\n- Zero loss in factual accuracy or safety\n\nWhy does this work? Different prompts collapse to different modes.\n\nWhen you ask for ONE response, you get the mode joke. When you ask for a DISTRIBUTION, you get the actual diverse distribution the model learned during pretraining.\n\nThey tested it everywhere:\n\n✓ Creative writing (poems, stories, jokes)\n✓ Dialogue simulation\n✓ Open-ended QA\n✓ Synthetic data generation\n\nAnd here's the emergent trend: \"larger models benefit MORE from this.\"\n\nGPT-4 gains 2× the diversity improvement compared to GPT-4-mini.\n\nThe bigger the model, the more trapped diversity it has.\n\nThis flips everything we thought about alignment. Mode collapse isn't permanent damage it's a prompting problem.\n\nThe diversity was never lost. We just forgot how to access it.\n\n100% training-free. 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Here are 75 use-cases that are actually realistic for startup founders (For inspiration purposes) \n\n(And scroll for some demos)\n\nKeeping the Lights On (Ops & Admin Stuff Nobody Enjoys):\n\n1. Pitch-deck Research - Auto-pulls market data, competitor metrics, and benchmarks into your fundraising slides.\n2. Meeting-to-Milestone - Turns Zoom/Slack transcripts into Asana/Jira tasks with deadlines and owners.\n3. Contract Simplifier - Converts long legal docs into plain-English terms and flags risk areas.\n4. Cross-Tool Sync - Keeps data consistent between Notion, Airtable, and your CRM without APIs.\n5. Cashflow Forecaster - Simulates runway changes based on invoices and goals.\n6. Vendor Negotiator - Monitors SaaS subscriptions and auto-renegotiates prices or cancels underused ones.\n7. Freelancer Coordinator - Auto-onboards, briefs, and quality-checks deliverables for contractors.\n8. Async-Team Updater - Summarizes Slack + GitHub + Notion changes into daily digest emails.\n9. Regulation Watchdog - Tracks evolving compliance (GDPR, AI Act, etc.) relevant to your niche.\n10. Investor-Update Generator - Compiles metrics, visuals, and narrative into monthly investor emails.\n\nGetting People to Actually Care (Marketing & Growth):\n\n11. Micro-Content Machine - Slices long videos/podcasts into viral short-form clips and threads.\n12. Cold Email Optimizer - Runs A/B tests on intros, subject lines, and send times automatically.\n13. PR Scout - Finds journalists covering your space and drafts personalized pitches.\n14. Community Grower - Joins relevant Discords, adds value, and reports back key insights.\n15. Ad-Creative Critic - Reviews ad visuals and copy for emotion, clarity, and novelty.\n16. SEO Intelligence Tool - Tracks ranking shifts and generates keyword clusters to attack next.\n17. Influencer Matcher - Pairs your brand with micro-creators by audience fit + cost.\n18. Affiliate Partner Manager - Tracks clicks, conversions, and payouts automatically.\n19. Brand Voice Keeper - Keeps tone/style consistent across every AI-written thing you ship.\n20. Waitlist Funnel Builder - Personalizes onboarding emails and landing pages by user intent.\n\nKeeping Users Happy (and Paying):\n\n21. Refund Resolver - Negotiates win-back offers or loyalty credits automatically.\n22. Usage Drop Detector - Flags inactive users and triggers custom outreach.\n23. Feedback Summarizer - Turns thousands of reviews into product insights and sentiment charts.\n24. Onboarding Concierge - Handholds users through setup via chat or video demo.\n25. Intent Classifier - Routes support tickets by topic (sales, tech issue, cancellation risk).\n26. Community Moderator - Removes spam/toxicity while preserving humor and nuance.\n27. Demo Assistant - Runs interactive live demos tailored to each user type.\n28. Survey Insight Tool - Analyzes surveys and suggests 3 high-ROI product fixes.\n29. Live-Chat Deal Closer - Autonomously qualifies and nudges leads to convert.\n30. Help-Center Rewriter - Updates FAQs automatically based on common support tickets.\n\nBuilding the Actual Thing (Product & Engineering):\n\n31. Feature-Spec Drafter - Translates brainstorm notes into clean PRDs.\n32. Design Handoff Tool - Converts Figma → React/Vue components with documentation.\n33. Release-Note Writer - Summarizes commits into human-readable updates.\n34. Bug Triage System - Detects duplicates, assigns severity, and routes automatically.\n35. API Doc Keeper - Scans your repo and keeps API docs fresh.\n36. Dev-Cost Monitor - Tracks compute/API spend and alerts waste.\n37. Test-Data Generator - Builds realistic datasets for QA.\n38. Prompt Consistency Checker - Ensures your LLM prompts don’t drift across versions.\n39. Localization Engine - Translates UI and docs with cultural tone detection.\n40. Data-Pipeline Fixer - Identifies broken ETL jobs and repairs them autonomously.\n\nSurviving the Game (Strategy, Fundraising, and Leverage):\n\n41. Co-Founder Matcher - Finds complementary operator/technical profiles.\n42. Micro-M&A Scout - Surfaces small SaaS tools worth acquiring.\n43. Pitch Simulator - Roleplays as skeptical investors and scores your pitch.\n44. Pricing Elasticity Tool - Runs invisible A/B tests to find the ideal price point.\n45. Cap Table Tracker - Models dilution scenarios before new rounds.\n46. Grant Finder - Identifies relevant grants and drafts application materials.\n47. Talent Headhunter - Scouts contractors with niche skills across the web.\n48. Partnership Explorer - Finds other startups for collabs or cross-promotions.\n49. Acquisition Readiness Tool - Builds your data room and standardizes KPIs.\n50. AI Chief of Staff - Coordinates your other agents to run the business.\n\nMaking Noise Online (Brand, Content, and Distribution):\n\n51. Hook Tester - A/B tests tweet hooks, thumbnails, and titles for engagement.\n52. Trend Watcher - Monitors niche communities for emerging topics to hijack.\n53. Podcast Booker - Finds hosts who’d feature you and drafts cold outreach.\n54. Social Proof Builder - Auto-compiles testimonials, quotes, and reviews into carousels.\n55. Comment Replyer - Posts clever, on-brand replies on high-traffic posts.\n56. Thought-Leader Ghostwriter - Drafts posts in your exact tone from short voice notes.\n57. Mini-Doc Filmmaker - Converts long interviews into short “founder journey” reels.\n58. Competitor Ad Spy - Scrapes ad libraries to surface patterns worth copying.\n59. Newsletter Curator - Collects and summarizes top industry posts in your niche.\n60. Visual-Identity Enforcer - Ensures all posts use your color palette, logo, and style.\n\nMaking the Product Smarter (User Insight + Growth Loops):\n\n61. Feature Usage Tracker - Identifies underused features and recommends UI tweaks.\n62. Referral Loop Builder - Builds and runs mini referral campaigns dynamically.\n63. Behavior Predictor - Forecasts which users are likely to upgrade or churn.\n64. Persona Generator - Turns user data into living, evolving personas.\n65. Dynamic Pricing System - Adjusts subscription pricing based on demand or seasonality.\n66. Community Ambassador Recruiter - Finds your top users and recruits them for advocacy.\n67. Lifetime-Value Tracker - Calculates LTV/CAC automatically and benchmarks it.\n68. Retention Playbook Builder - Watches user behavior and triggers personalized win-backs.\n69. Trial-to-Paid Optimizer - Tests onboarding flows and recommends improvements.\n70. Gamification Designer - Creates reward loops or point systems for user retention.\n\nBig-Brain Founder Stuff (Thinking, Learning, and Vision):\n\n71. Reading Synthesizer - Summarizes research papers or essays into insights relevant to your product.\n72. Idea Validator - Runs small-scale surveys + search data to test demand.\n73. Competitor Thesis Tracker - Keeps tabs on how rival founders talk about their vision.\n74. Market-Shift Detector - Monitors funding, hiring, and tech trends for new opportunities.\n75. 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Regulatory Impact Analysis\n\n\"What are the latest regulations affecting [industry] in [region]? 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Funding & Investment Trends\n\n\"Show me all funding rounds in [sector] from the last quarter. Include amounts, lead investors, valuations when available, and emerging patterns. Which sub-sectors are getting the most capital?\" https://t.co/mlmTmMDqn8","in_reply_to_user_id_str":"1433898842865520644","in_reply_to_status_id_str":"1986407822805115086","is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[0,232],"entities":{"hashtags":[],"media":[{"display_url":"pic.x.com/mILVNXQUwY","expanded_url":"https://x.com/bigaiguy/status/1986407971740618956/video/1","id_str":"1986407914912030722","indices":[233,256],"media_key":"13_1986407914912030722","media_url_https":"https://pbs.twimg.com/amplify_video_thumb/1986407914912030722/img/YoLZw3WV6EU2ka-c.jpg","type":"video","url":"https://t.co/mILVNXQUwY","additional_media_info":{"monetizable":false},"ext_media_availability":{"status":"Available"},"sizes":{"large":{"h":1080,"w":2032,"resize":"fit"},"medium":{"h":638,"w":1200,"resize":"fit"},"small":{"h":361,"w":680,"resize":"fit"},"thumb":{"h":150,"w":150,"resize":"crop"}},"original_info":{"height":1080,"width":2032,"focus_rects":[]},"video_info":{"aspect_ratio":[254,135],"duration_millis":13250,"variants":[{"content_type":"application/x-mpegURL","url":"https://video.twimg.com/amplify_video/1986407914912030722/pl/W0n4lnMLtnWS9ZXM.m3u8?tag=14"},{"bitrate":288000,"content_type":"video/mp4","url":"https://video.twimg.com/amplify_video/1986407914912030722/vid/avc1/508x270/aOCauirkW2ppY8MG.mp4?tag=14"},{"bitrate":832000,"content_type":"video/mp4","url":"https://video.twimg.com/amplify_video/1986407914912030722/vid/avc1/676x360/HDDxeI4e5ywG972-.mp4?tag=14"},{"bitrate":2176000,"content_type":"video/mp4","url":"https://video.twimg.com/amplify_video/1986407914912030722/vid/avc1/1354x720/fkbtL7Pj0uQFuqXm.mp4?tag=14"}]},"media_results":{"result":{"media_key":"13_1986407914912030722"}}}],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"extended_entities":{"media":[{"display_url":"pic.x.com/mILVNXQUwY","expanded_url":"https://x.com/bigaiguy/status/1986407971740618956/video/1","id_str":"1986407914912030722","indices":[233,256],"media_key":"13_1986407914912030722","media_url_https":"https://pbs.twimg.com/amplify_video_thumb/1986407914912030722/img/YoLZw3WV6EU2ka-c.jpg","type":"video","url":"https://t.co/mILVNXQUwY","additional_media_info":{"monetizable":false},"ext_media_availability":{"status":"Available"},"sizes":{"large":{"h":1080,"w":2032,"resize":"fit"},"medium":{"h":638,"w":1200,"resize":"fit"},"small":{"h":361,"w":680,"resize":"fit"},"thumb":{"h":150,"w":150,"resize":"crop"}},"original_info":{"height":1080,"width":2032,"focus_rects":[]},"video_info":{"aspect_ratio":[254,135],"duration_millis":13250,"variants":[{"content_type":"application/x-mpegURL","url":"https://video.twimg.com/amplify_video/1986407914912030722/pl/W0n4lnMLtnWS9ZXM.m3u8?tag=14"},{"bitrate":288000,"content_type":"video/mp4","url":"https://video.twimg.com/amplify_video/1986407914912030722/vid/avc1/508x270/aOCauirkW2ppY8MG.mp4?tag=14"},{"bitrate":832000,"content_type":"video/mp4","url":"https://video.twimg.com/amplify_video/1986407914912030722/vid/avc1/676x360/HDDxeI4e5ywG972-.mp4?tag=14"},{"bitrate":2176000,"content_type":"video/mp4","url":"https://video.twimg.com/amplify_video/1986407914912030722/vid/avc1/1354x720/fkbtL7Pj0uQFuqXm.mp4?tag=14"}]},"media_results":{"result":{"media_key":"13_1986407914912030722"}}}]},"favorited":false,"in_reply_to_screen_name":"bigaiguy","lang":"en","possibly_sensitive":false,"possibly_sensitive_editable":true,"retweeted":false,"fact_check":null,"id":"1986407971740618956","view_count":982,"bookmark_count":1,"created_at":1762431540000,"favorite_count":5,"quote_count":0,"reply_count":1,"retweet_count":0,"user_id_str":"1433898842865520644","conversation_id_str":"1986407588435837439","full_text":"5. Technical Benchmark Synthesis\n\n\"Compare performance benchmarks for [technology/framework] across: latency, throughput, resource usage, cost efficiency. Use data from official docs, third-party tests, and production case studies.\" https://t.co/mILVNXQUwY","in_reply_to_user_id_str":"1433898842865520644","in_reply_to_status_id_str":"1986407901838385455","is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[0,233],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"in_reply_to_screen_name":"bigaiguy","lang":"en","retweeted":false,"fact_check":null,"id":"1986407983786643909","view_count":834,"bookmark_count":3,"created_at":1762431543000,"favorite_count":6,"quote_count":0,"reply_count":1,"retweet_count":0,"user_id_str":"1433898842865520644","conversation_id_str":"1986407588435837439","full_text":"6. 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Available now.\n\nRead the paper: arxiv. org/abs/2510.01171\n\nThe AI diversity bottleneck just got solved with 8 words.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[0,276],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1979626798666203496","view_count":4885,"bookmark_count":8,"created_at":1760814783000,"favorite_count":15,"quote_count":0,"reply_count":2,"retweet_count":6,"user_id_str":"1433898842865520644","conversation_id_str":"1979626798666203496","full_text":"Every LLM project starts with big dreams and ends the same way:\n\na developer buried in authentication errors and API spaghetti 🍝\n\nYou start simple - “let’s connect Claude to GitHub.”\n\nBut then come the headaches:\n\n→ Token scopes that expire mid-call\n→ OAuth configs that break in prod\n→ Compliance teams asking for audits\n→ Logs scattered across 5 tools\n\nYou thought you were building an AI product...\n\nbut you’re actually maintaining a fragile web of integrations.\n\nIt’s not your fault.\n\nUntil now, there’s never been a clean way to make LLMs talk to your tools safely.\n\nThat’s finally changed 👇","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[0,281],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1979609858816024819","view_count":1261,"bookmark_count":16,"created_at":1760810744000,"favorite_count":7,"quote_count":0,"reply_count":2,"retweet_count":2,"user_id_str":"1433898842865520644","conversation_id_str":"1979609858816024819","full_text":"Everyone's spazzing about OpenAI Agent Builder. Here are 75 use-cases that are actually realistic for startup founders (For inspiration purposes) \n\n(And scroll for some demos)\n\nKeeping the Lights On (Ops & Admin Stuff Nobody Enjoys):\n\n1. Pitch-deck Research - Auto-pulls market data, competitor metrics, and benchmarks into your fundraising slides.\n2. Meeting-to-Milestone - Turns Zoom/Slack transcripts into Asana/Jira tasks with deadlines and owners.\n3. Contract Simplifier - Converts long legal docs into plain-English terms and flags risk areas.\n4. Cross-Tool Sync - Keeps data consistent between Notion, Airtable, and your CRM without APIs.\n5. Cashflow Forecaster - Simulates runway changes based on invoices and goals.\n6. Vendor Negotiator - Monitors SaaS subscriptions and auto-renegotiates prices or cancels underused ones.\n7. Freelancer Coordinator - Auto-onboards, briefs, and quality-checks deliverables for contractors.\n8. Async-Team Updater - Summarizes Slack + GitHub + Notion changes into daily digest emails.\n9. Regulation Watchdog - Tracks evolving compliance (GDPR, AI Act, etc.) relevant to your niche.\n10. Investor-Update Generator - Compiles metrics, visuals, and narrative into monthly investor emails.\n\nGetting People to Actually Care (Marketing & Growth):\n\n11. Micro-Content Machine - Slices long videos/podcasts into viral short-form clips and threads.\n12. Cold Email Optimizer - Runs A/B tests on intros, subject lines, and send times automatically.\n13. PR Scout - Finds journalists covering your space and drafts personalized pitches.\n14. Community Grower - Joins relevant Discords, adds value, and reports back key insights.\n15. Ad-Creative Critic - Reviews ad visuals and copy for emotion, clarity, and novelty.\n16. SEO Intelligence Tool - Tracks ranking shifts and generates keyword clusters to attack next.\n17. Influencer Matcher - Pairs your brand with micro-creators by audience fit + cost.\n18. Affiliate Partner Manager - Tracks clicks, conversions, and payouts automatically.\n19. Brand Voice Keeper - Keeps tone/style consistent across every AI-written thing you ship.\n20. Waitlist Funnel Builder - Personalizes onboarding emails and landing pages by user intent.\n\nKeeping Users Happy (and Paying):\n\n21. Refund Resolver - Negotiates win-back offers or loyalty credits automatically.\n22. Usage Drop Detector - Flags inactive users and triggers custom outreach.\n23. Feedback Summarizer - Turns thousands of reviews into product insights and sentiment charts.\n24. Onboarding Concierge - Handholds users through setup via chat or video demo.\n25. Intent Classifier - Routes support tickets by topic (sales, tech issue, cancellation risk).\n26. Community Moderator - Removes spam/toxicity while preserving humor and nuance.\n27. Demo Assistant - Runs interactive live demos tailored to each user type.\n28. Survey Insight Tool - Analyzes surveys and suggests 3 high-ROI product fixes.\n29. Live-Chat Deal Closer - Autonomously qualifies and nudges leads to convert.\n30. Help-Center Rewriter - Updates FAQs automatically based on common support tickets.\n\nBuilding the Actual Thing (Product & Engineering):\n\n31. Feature-Spec Drafter - Translates brainstorm notes into clean PRDs.\n32. Design Handoff Tool - Converts Figma → React/Vue components with documentation.\n33. Release-Note Writer - Summarizes commits into human-readable updates.\n34. Bug Triage System - Detects duplicates, assigns severity, and routes automatically.\n35. API Doc Keeper - Scans your repo and keeps API docs fresh.\n36. Dev-Cost Monitor - Tracks compute/API spend and alerts waste.\n37. Test-Data Generator - Builds realistic datasets for QA.\n38. Prompt Consistency Checker - Ensures your LLM prompts don’t drift across versions.\n39. Localization Engine - Translates UI and docs with cultural tone detection.\n40. Data-Pipeline Fixer - Identifies broken ETL jobs and repairs them autonomously.\n\nSurviving the Game (Strategy, Fundraising, and Leverage):\n\n41. Co-Founder Matcher - Finds complementary operator/technical profiles.\n42. Micro-M&A Scout - Surfaces small SaaS tools worth acquiring.\n43. Pitch Simulator - Roleplays as skeptical investors and scores your pitch.\n44. Pricing Elasticity Tool - Runs invisible A/B tests to find the ideal price point.\n45. Cap Table Tracker - Models dilution scenarios before new rounds.\n46. Grant Finder - Identifies relevant grants and drafts application materials.\n47. Talent Headhunter - Scouts contractors with niche skills across the web.\n48. Partnership Explorer - Finds other startups for collabs or cross-promotions.\n49. Acquisition Readiness Tool - Builds your data room and standardizes KPIs.\n50. AI Chief of Staff - Coordinates your other agents to run the business.\n\nMaking Noise Online (Brand, Content, and Distribution):\n\n51. Hook Tester - A/B tests tweet hooks, thumbnails, and titles for engagement.\n52. Trend Watcher - Monitors niche communities for emerging topics to hijack.\n53. Podcast Booker - Finds hosts who’d feature you and drafts cold outreach.\n54. Social Proof Builder - Auto-compiles testimonials, quotes, and reviews into carousels.\n55. Comment Replyer - Posts clever, on-brand replies on high-traffic posts.\n56. Thought-Leader Ghostwriter - Drafts posts in your exact tone from short voice notes.\n57. Mini-Doc Filmmaker - Converts long interviews into short “founder journey” reels.\n58. Competitor Ad Spy - Scrapes ad libraries to surface patterns worth copying.\n59. Newsletter Curator - Collects and summarizes top industry posts in your niche.\n60. Visual-Identity Enforcer - Ensures all posts use your color palette, logo, and style.\n\nMaking the Product Smarter (User Insight + Growth Loops):\n\n61. Feature Usage Tracker - Identifies underused features and recommends UI tweaks.\n62. Referral Loop Builder - Builds and runs mini referral campaigns dynamically.\n63. Behavior Predictor - Forecasts which users are likely to upgrade or churn.\n64. 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Regulatory Impact Analysis\n\n\"What are the latest regulations affecting [industry] in [region]? 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Funding & Investment Trends\n\n\"Show me all funding rounds in [sector] from the last quarter. Include amounts, lead investors, valuations when available, and emerging patterns. Which sub-sectors are getting the most capital?\" https://t.co/mlmTmMDqn8","in_reply_to_user_id_str":"1433898842865520644","in_reply_to_status_id_str":"1986407822805115086","is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[0,232],"entities":{"hashtags":[],"media":[{"display_url":"pic.x.com/mILVNXQUwY","expanded_url":"https://x.com/bigaiguy/status/1986407971740618956/video/1","id_str":"1986407914912030722","indices":[233,256],"media_key":"13_1986407914912030722","media_url_https":"https://pbs.twimg.com/amplify_video_thumb/1986407914912030722/img/YoLZw3WV6EU2ka-c.jpg","type":"video","url":"https://t.co/mILVNXQUwY","additional_media_info":{"monetizable":false},"ext_media_availability":{"status":"Available"},"sizes":{"large":{"h":1080,"w":2032,"resize":"fit"},"medium":{"h":638,"w":1200,"resize":"fit"},"small":{"h":361,"w":680,"resize":"fit"},"thumb":{"h":150,"w":150,"resize":"crop"}},"original_info":{"height":1080,"width":2032,"focus_rects":[]},"video_info":{"aspect_ratio":[254,135],"duration_millis":13250,"variants":[{"content_type":"application/x-mpegURL","url":"https://video.twimg.com/amplify_video/1986407914912030722/pl/W0n4lnMLtnWS9ZXM.m3u8?tag=14"},{"bitrate":288000,"content_type":"video/mp4","url":"https://video.twimg.com/amplify_video/1986407914912030722/vid/avc1/508x270/aOCauirkW2ppY8MG.mp4?tag=14"},{"bitrate":832000,"content_type":"video/mp4","url":"https://video.twimg.com/amplify_video/1986407914912030722/vid/avc1/676x360/HDDxeI4e5ywG972-.mp4?tag=14"},{"bitrate":2176000,"content_type":"video/mp4","url":"https://video.twimg.com/amplify_video/1986407914912030722/vid/avc1/1354x720/fkbtL7Pj0uQFuqXm.mp4?tag=14"}]},"media_results":{"result":{"media_key":"13_1986407914912030722"}}}],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"extended_entities":{"media":[{"display_url":"pic.x.com/mILVNXQUwY","expanded_url":"https://x.com/bigaiguy/status/1986407971740618956/video/1","id_str":"1986407914912030722","indices":[233,256],"media_key":"13_1986407914912030722","media_url_https":"https://pbs.twimg.com/amplify_video_thumb/1986407914912030722/img/YoLZw3WV6EU2ka-c.jpg","type":"video","url":"https://t.co/mILVNXQUwY","additional_media_info":{"monetizable":false},"ext_media_availability":{"status":"Available"},"sizes":{"large":{"h":1080,"w":2032,"resize":"fit"},"medium":{"h":638,"w":1200,"resize":"fit"},"small":{"h":361,"w":680,"resize":"fit"},"thumb":{"h":150,"w":150,"resize":"crop"}},"original_info":{"height":1080,"width":2032,"focus_rects":[]},"video_info":{"aspect_ratio":[254,135],"duration_millis":13250,"variants":[{"content_type":"application/x-mpegURL","url":"https://video.twimg.com/amplify_video/1986407914912030722/pl/W0n4lnMLtnWS9ZXM.m3u8?tag=14"},{"bitrate":288000,"content_type":"video/mp4","url":"https://video.twimg.com/amplify_video/1986407914912030722/vid/avc1/508x270/aOCauirkW2ppY8MG.mp4?tag=14"},{"bitrate":832000,"content_type":"video/mp4","url":"https://video.twimg.com/amplify_video/1986407914912030722/vid/avc1/676x360/HDDxeI4e5ywG972-.mp4?tag=14"},{"bitrate":2176000,"content_type":"video/mp4","url":"https://video.twimg.com/amplify_video/1986407914912030722/vid/avc1/1354x720/fkbtL7Pj0uQFuqXm.mp4?tag=14"}]},"media_results":{"result":{"media_key":"13_1986407914912030722"}}}]},"favorited":false,"in_reply_to_screen_name":"bigaiguy","lang":"en","possibly_sensitive":false,"possibly_sensitive_editable":true,"retweeted":false,"fact_check":null,"id":"1986407971740618956","view_count":982,"bookmark_count":1,"created_at":1762431540000,"favorite_count":5,"quote_count":0,"reply_count":1,"retweet_count":0,"user_id_str":"1433898842865520644","conversation_id_str":"1986407588435837439","full_text":"5. Technical Benchmark Synthesis\n\n\"Compare performance benchmarks for [technology/framework] across: latency, throughput, resource usage, cost efficiency. Use data from official docs, third-party tests, and production case studies.\" https://t.co/mILVNXQUwY","in_reply_to_user_id_str":"1433898842865520644","in_reply_to_status_id_str":"1986407901838385455","is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[0,233],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"in_reply_to_screen_name":"bigaiguy","lang":"en","retweeted":false,"fact_check":null,"id":"1986407983786643909","view_count":834,"bookmark_count":3,"created_at":1762431543000,"favorite_count":6,"quote_count":0,"reply_count":1,"retweet_count":0,"user_id_str":"1433898842865520644","conversation_id_str":"1986407588435837439","full_text":"6. 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Available now.\n\nRead the paper: arxiv. org/abs/2510.01171\n\nThe AI diversity bottleneck just got solved with 8 words.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[0,276],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1979626798666203496","view_count":4885,"bookmark_count":8,"created_at":1760814783000,"favorite_count":15,"quote_count":0,"reply_count":2,"retweet_count":6,"user_id_str":"1433898842865520644","conversation_id_str":"1979626798666203496","full_text":"Every LLM project starts with big dreams and ends the same way:\n\na developer buried in authentication errors and API spaghetti 🍝\n\nYou start simple - “let’s connect Claude to GitHub.”\n\nBut then come the headaches:\n\n→ Token scopes that expire mid-call\n→ OAuth configs that break in prod\n→ Compliance teams asking for audits\n→ Logs scattered across 5 tools\n\nYou thought you were building an AI product...\n\nbut you’re actually maintaining a fragile web of integrations.\n\nIt’s not your fault.\n\nUntil now, there’s never been a clean way to make LLMs talk to your tools safely.\n\nThat’s finally changed 👇","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[0,281],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1979609858816024819","view_count":1261,"bookmark_count":16,"created_at":1760810744000,"favorite_count":7,"quote_count":0,"reply_count":2,"retweet_count":2,"user_id_str":"1433898842865520644","conversation_id_str":"1979609858816024819","full_text":"Everyone's spazzing about OpenAI Agent Builder. Here are 75 use-cases that are actually realistic for startup founders (For inspiration purposes) \n\n(And scroll for some demos)\n\nKeeping the Lights On (Ops & Admin Stuff Nobody Enjoys):\n\n1. Pitch-deck Research - Auto-pulls market data, competitor metrics, and benchmarks into your fundraising slides.\n2. Meeting-to-Milestone - Turns Zoom/Slack transcripts into Asana/Jira tasks with deadlines and owners.\n3. Contract Simplifier - Converts long legal docs into plain-English terms and flags risk areas.\n4. Cross-Tool Sync - Keeps data consistent between Notion, Airtable, and your CRM without APIs.\n5. Cashflow Forecaster - Simulates runway changes based on invoices and goals.\n6. Vendor Negotiator - Monitors SaaS subscriptions and auto-renegotiates prices or cancels underused ones.\n7. Freelancer Coordinator - Auto-onboards, briefs, and quality-checks deliverables for contractors.\n8. Async-Team Updater - Summarizes Slack + GitHub + Notion changes into daily digest emails.\n9. Regulation Watchdog - Tracks evolving compliance (GDPR, AI Act, etc.) relevant to your niche.\n10. Investor-Update Generator - Compiles metrics, visuals, and narrative into monthly investor emails.\n\nGetting People to Actually Care (Marketing & Growth):\n\n11. Micro-Content Machine - Slices long videos/podcasts into viral short-form clips and threads.\n12. Cold Email Optimizer - Runs A/B tests on intros, subject lines, and send times automatically.\n13. PR Scout - Finds journalists covering your space and drafts personalized pitches.\n14. Community Grower - Joins relevant Discords, adds value, and reports back key insights.\n15. Ad-Creative Critic - Reviews ad visuals and copy for emotion, clarity, and novelty.\n16. SEO Intelligence Tool - Tracks ranking shifts and generates keyword clusters to attack next.\n17. Influencer Matcher - Pairs your brand with micro-creators by audience fit + cost.\n18. Affiliate Partner Manager - Tracks clicks, conversions, and payouts automatically.\n19. Brand Voice Keeper - Keeps tone/style consistent across every AI-written thing you ship.\n20. Waitlist Funnel Builder - Personalizes onboarding emails and landing pages by user intent.\n\nKeeping Users Happy (and Paying):\n\n21. Refund Resolver - Negotiates win-back offers or loyalty credits automatically.\n22. Usage Drop Detector - Flags inactive users and triggers custom outreach.\n23. Feedback Summarizer - Turns thousands of reviews into product insights and sentiment charts.\n24. Onboarding Concierge - Handholds users through setup via chat or video demo.\n25. Intent Classifier - Routes support tickets by topic (sales, tech issue, cancellation risk).\n26. Community Moderator - Removes spam/toxicity while preserving humor and nuance.\n27. Demo Assistant - Runs interactive live demos tailored to each user type.\n28. Survey Insight Tool - Analyzes surveys and suggests 3 high-ROI product fixes.\n29. Live-Chat Deal Closer - Autonomously qualifies and nudges leads to convert.\n30. Help-Center Rewriter - Updates FAQs automatically based on common support tickets.\n\nBuilding the Actual Thing (Product & Engineering):\n\n31. Feature-Spec Drafter - Translates brainstorm notes into clean PRDs.\n32. Design Handoff Tool - Converts Figma → React/Vue components with documentation.\n33. Release-Note Writer - Summarizes commits into human-readable updates.\n34. Bug Triage System - Detects duplicates, assigns severity, and routes automatically.\n35. API Doc Keeper - Scans your repo and keeps API docs fresh.\n36. Dev-Cost Monitor - Tracks compute/API spend and alerts waste.\n37. Test-Data Generator - Builds realistic datasets for QA.\n38. Prompt Consistency Checker - Ensures your LLM prompts don’t drift across versions.\n39. Localization Engine - Translates UI and docs with cultural tone detection.\n40. Data-Pipeline Fixer - Identifies broken ETL jobs and repairs them autonomously.\n\nSurviving the Game (Strategy, Fundraising, and Leverage):\n\n41. Co-Founder Matcher - Finds complementary operator/technical profiles.\n42. Micro-M&A Scout - Surfaces small SaaS tools worth acquiring.\n43. Pitch Simulator - Roleplays as skeptical investors and scores your pitch.\n44. Pricing Elasticity Tool - Runs invisible A/B tests to find the ideal price point.\n45. Cap Table Tracker - Models dilution scenarios before new rounds.\n46. Grant Finder - Identifies relevant grants and drafts application materials.\n47. Talent Headhunter - Scouts contractors with niche skills across the web.\n48. Partnership Explorer - Finds other startups for collabs or cross-promotions.\n49. Acquisition Readiness Tool - Builds your data room and standardizes KPIs.\n50. AI Chief of Staff - Coordinates your other agents to run the business.\n\nMaking Noise Online (Brand, Content, and Distribution):\n\n51. Hook Tester - A/B tests tweet hooks, thumbnails, and titles for engagement.\n52. Trend Watcher - Monitors niche communities for emerging topics to hijack.\n53. Podcast Booker - Finds hosts who’d feature you and drafts cold outreach.\n54. Social Proof Builder - Auto-compiles testimonials, quotes, and reviews into carousels.\n55. Comment Replyer - Posts clever, on-brand replies on high-traffic posts.\n56. Thought-Leader Ghostwriter - Drafts posts in your exact tone from short voice notes.\n57. Mini-Doc Filmmaker - Converts long interviews into short “founder journey” reels.\n58. Competitor Ad Spy - Scrapes ad libraries to surface patterns worth copying.\n59. Newsletter Curator - Collects and summarizes top industry posts in your niche.\n60. Visual-Identity Enforcer - Ensures all posts use your color palette, logo, and style.\n\nMaking the Product Smarter (User Insight + Growth Loops):\n\n61. Feature Usage Tracker - Identifies underused features and recommends UI tweaks.\n62. Referral Loop Builder - Builds and runs mini referral campaigns dynamically.\n63. Behavior Predictor - Forecasts which users are likely to upgrade or churn.\n64. 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Regulatory Impact Analysis\n\n\"What are the latest regulations affecting [industry] in [region]? 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Funding & Investment Trends\n\n\"Show me all funding rounds in [sector] from the last quarter. Include amounts, lead investors, valuations when available, and emerging patterns. Which sub-sectors are getting the most capital?\" https://t.co/mlmTmMDqn8","in_reply_to_user_id_str":"1433898842865520644","in_reply_to_status_id_str":"1986407822805115086","is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[0,232],"entities":{"hashtags":[],"media":[{"display_url":"pic.x.com/mILVNXQUwY","expanded_url":"https://x.com/bigaiguy/status/1986407971740618956/video/1","id_str":"1986407914912030722","indices":[233,256],"media_key":"13_1986407914912030722","media_url_https":"https://pbs.twimg.com/amplify_video_thumb/1986407914912030722/img/YoLZw3WV6EU2ka-c.jpg","type":"video","url":"https://t.co/mILVNXQUwY","additional_media_info":{"monetizable":false},"ext_media_availability":{"status":"Available"},"sizes":{"large":{"h":1080,"w":2032,"resize":"fit"},"medium":{"h":638,"w":1200,"resize":"fit"},"small":{"h":361,"w":680,"resize":"fit"},"thumb":{"h":150,"w":150,"resize":"crop"}},"original_info":{"height":1080,"width":2032,"focus_rects":[]},"video_info":{"aspect_ratio":[254,135],"duration_millis":13250,"variants":[{"content_type":"application/x-mpegURL","url":"https://video.twimg.com/amplify_video/1986407914912030722/pl/W0n4lnMLtnWS9ZXM.m3u8?tag=14"},{"bitrate":288000,"content_type":"video/mp4","url":"https://video.twimg.com/amplify_video/1986407914912030722/vid/avc1/508x270/aOCauirkW2ppY8MG.mp4?tag=14"},{"bitrate":832000,"content_type":"video/mp4","url":"https://video.twimg.com/amplify_video/1986407914912030722/vid/avc1/676x360/HDDxeI4e5ywG972-.mp4?tag=14"},{"bitrate":2176000,"content_type":"video/mp4","url":"https://video.twimg.com/amplify_video/1986407914912030722/vid/avc1/1354x720/fkbtL7Pj0uQFuqXm.mp4?tag=14"}]},"media_results":{"result":{"media_key":"13_1986407914912030722"}}}],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"extended_entities":{"media":[{"display_url":"pic.x.com/mILVNXQUwY","expanded_url":"https://x.com/bigaiguy/status/1986407971740618956/video/1","id_str":"1986407914912030722","indices":[233,256],"media_key":"13_1986407914912030722","media_url_https":"https://pbs.twimg.com/amplify_video_thumb/1986407914912030722/img/YoLZw3WV6EU2ka-c.jpg","type":"video","url":"https://t.co/mILVNXQUwY","additional_media_info":{"monetizable":false},"ext_media_availability":{"status":"Available"},"sizes":{"large":{"h":1080,"w":2032,"resize":"fit"},"medium":{"h":638,"w":1200,"resize":"fit"},"small":{"h":361,"w":680,"resize":"fit"},"thumb":{"h":150,"w":150,"resize":"crop"}},"original_info":{"height":1080,"width":2032,"focus_rects":[]},"video_info":{"aspect_ratio":[254,135],"duration_millis":13250,"variants":[{"content_type":"application/x-mpegURL","url":"https://video.twimg.com/amplify_video/1986407914912030722/pl/W0n4lnMLtnWS9ZXM.m3u8?tag=14"},{"bitrate":288000,"content_type":"video/mp4","url":"https://video.twimg.com/amplify_video/1986407914912030722/vid/avc1/508x270/aOCauirkW2ppY8MG.mp4?tag=14"},{"bitrate":832000,"content_type":"video/mp4","url":"https://video.twimg.com/amplify_video/1986407914912030722/vid/avc1/676x360/HDDxeI4e5ywG972-.mp4?tag=14"},{"bitrate":2176000,"content_type":"video/mp4","url":"https://video.twimg.com/amplify_video/1986407914912030722/vid/avc1/1354x720/fkbtL7Pj0uQFuqXm.mp4?tag=14"}]},"media_results":{"result":{"media_key":"13_1986407914912030722"}}}]},"favorited":false,"in_reply_to_screen_name":"bigaiguy","lang":"en","possibly_sensitive":false,"possibly_sensitive_editable":true,"retweeted":false,"fact_check":null,"id":"1986407971740618956","view_count":982,"bookmark_count":1,"created_at":1762431540000,"favorite_count":5,"quote_count":0,"reply_count":1,"retweet_count":0,"user_id_str":"1433898842865520644","conversation_id_str":"1986407588435837439","full_text":"5. Technical Benchmark Synthesis\n\n\"Compare performance benchmarks for [technology/framework] across: latency, throughput, resource usage, cost efficiency. Use data from official docs, third-party tests, and production case studies.\" https://t.co/mILVNXQUwY","in_reply_to_user_id_str":"1433898842865520644","in_reply_to_status_id_str":"1986407901838385455","is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[0,233],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"in_reply_to_screen_name":"bigaiguy","lang":"en","retweeted":false,"fact_check":null,"id":"1986407983786643909","view_count":834,"bookmark_count":3,"created_at":1762431543000,"favorite_count":6,"quote_count":0,"reply_count":1,"retweet_count":0,"user_id_str":"1433898842865520644","conversation_id_str":"1986407588435837439","full_text":"6. 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Available now.\n\nRead the paper: arxiv. org/abs/2510.01171\n\nThe AI diversity bottleneck just got solved with 8 words.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[0,276],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1979626798666203496","view_count":4885,"bookmark_count":8,"created_at":1760814783000,"favorite_count":15,"quote_count":0,"reply_count":2,"retweet_count":6,"user_id_str":"1433898842865520644","conversation_id_str":"1979626798666203496","full_text":"Every LLM project starts with big dreams and ends the same way:\n\na developer buried in authentication errors and API spaghetti 🍝\n\nYou start simple - “let’s connect Claude to GitHub.”\n\nBut then come the headaches:\n\n→ Token scopes that expire mid-call\n→ OAuth configs that break in prod\n→ Compliance teams asking for audits\n→ Logs scattered across 5 tools\n\nYou thought you were building an AI product...\n\nbut you’re actually maintaining a fragile web of integrations.\n\nIt’s not your fault.\n\nUntil now, there’s never been a clean way to make LLMs talk to your tools safely.\n\nThat’s finally changed 👇","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[0,281],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1979609858816024819","view_count":1261,"bookmark_count":16,"created_at":1760810744000,"favorite_count":7,"quote_count":0,"reply_count":2,"retweet_count":2,"user_id_str":"1433898842865520644","conversation_id_str":"1979609858816024819","full_text":"Everyone's spazzing about OpenAI Agent Builder. Here are 75 use-cases that are actually realistic for startup founders (For inspiration purposes) \n\n(And scroll for some demos)\n\nKeeping the Lights On (Ops & Admin Stuff Nobody Enjoys):\n\n1. Pitch-deck Research - Auto-pulls market data, competitor metrics, and benchmarks into your fundraising slides.\n2. Meeting-to-Milestone - Turns Zoom/Slack transcripts into Asana/Jira tasks with deadlines and owners.\n3. Contract Simplifier - Converts long legal docs into plain-English terms and flags risk areas.\n4. Cross-Tool Sync - Keeps data consistent between Notion, Airtable, and your CRM without APIs.\n5. Cashflow Forecaster - Simulates runway changes based on invoices and goals.\n6. Vendor Negotiator - Monitors SaaS subscriptions and auto-renegotiates prices or cancels underused ones.\n7. Freelancer Coordinator - Auto-onboards, briefs, and quality-checks deliverables for contractors.\n8. Async-Team Updater - Summarizes Slack + GitHub + Notion changes into daily digest emails.\n9. Regulation Watchdog - Tracks evolving compliance (GDPR, AI Act, etc.) relevant to your niche.\n10. Investor-Update Generator - Compiles metrics, visuals, and narrative into monthly investor emails.\n\nGetting People to Actually Care (Marketing & Growth):\n\n11. Micro-Content Machine - Slices long videos/podcasts into viral short-form clips and threads.\n12. Cold Email Optimizer - Runs A/B tests on intros, subject lines, and send times automatically.\n13. PR Scout - Finds journalists covering your space and drafts personalized pitches.\n14. Community Grower - Joins relevant Discords, adds value, and reports back key insights.\n15. Ad-Creative Critic - Reviews ad visuals and copy for emotion, clarity, and novelty.\n16. SEO Intelligence Tool - Tracks ranking shifts and generates keyword clusters to attack next.\n17. Influencer Matcher - Pairs your brand with micro-creators by audience fit + cost.\n18. Affiliate Partner Manager - Tracks clicks, conversions, and payouts automatically.\n19. Brand Voice Keeper - Keeps tone/style consistent across every AI-written thing you ship.\n20. Waitlist Funnel Builder - Personalizes onboarding emails and landing pages by user intent.\n\nKeeping Users Happy (and Paying):\n\n21. Refund Resolver - Negotiates win-back offers or loyalty credits automatically.\n22. Usage Drop Detector - Flags inactive users and triggers custom outreach.\n23. Feedback Summarizer - Turns thousands of reviews into product insights and sentiment charts.\n24. Onboarding Concierge - Handholds users through setup via chat or video demo.\n25. Intent Classifier - Routes support tickets by topic (sales, tech issue, cancellation risk).\n26. Community Moderator - Removes spam/toxicity while preserving humor and nuance.\n27. Demo Assistant - Runs interactive live demos tailored to each user type.\n28. Survey Insight Tool - Analyzes surveys and suggests 3 high-ROI product fixes.\n29. Live-Chat Deal Closer - Autonomously qualifies and nudges leads to convert.\n30. Help-Center Rewriter - Updates FAQs automatically based on common support tickets.\n\nBuilding the Actual Thing (Product & Engineering):\n\n31. Feature-Spec Drafter - Translates brainstorm notes into clean PRDs.\n32. Design Handoff Tool - Converts Figma → React/Vue components with documentation.\n33. Release-Note Writer - Summarizes commits into human-readable updates.\n34. Bug Triage System - Detects duplicates, assigns severity, and routes automatically.\n35. API Doc Keeper - Scans your repo and keeps API docs fresh.\n36. Dev-Cost Monitor - Tracks compute/API spend and alerts waste.\n37. Test-Data Generator - Builds realistic datasets for QA.\n38. Prompt Consistency Checker - Ensures your LLM prompts don’t drift across versions.\n39. Localization Engine - Translates UI and docs with cultural tone detection.\n40. Data-Pipeline Fixer - Identifies broken ETL jobs and repairs them autonomously.\n\nSurviving the Game (Strategy, Fundraising, and Leverage):\n\n41. Co-Founder Matcher - Finds complementary operator/technical profiles.\n42. Micro-M&A Scout - Surfaces small SaaS tools worth acquiring.\n43. Pitch Simulator - Roleplays as skeptical investors and scores your pitch.\n44. Pricing Elasticity Tool - Runs invisible A/B tests to find the ideal price point.\n45. Cap Table Tracker - Models dilution scenarios before new rounds.\n46. Grant Finder - Identifies relevant grants and drafts application materials.\n47. Talent Headhunter - Scouts contractors with niche skills across the web.\n48. Partnership Explorer - Finds other startups for collabs or cross-promotions.\n49. Acquisition Readiness Tool - Builds your data room and standardizes KPIs.\n50. AI Chief of Staff - Coordinates your other agents to run the business.\n\nMaking Noise Online (Brand, Content, and Distribution):\n\n51. Hook Tester - A/B tests tweet hooks, thumbnails, and titles for engagement.\n52. Trend Watcher - Monitors niche communities for emerging topics to hijack.\n53. Podcast Booker - Finds hosts who’d feature you and drafts cold outreach.\n54. Social Proof Builder - Auto-compiles testimonials, quotes, and reviews into carousels.\n55. Comment Replyer - Posts clever, on-brand replies on high-traffic posts.\n56. Thought-Leader Ghostwriter - Drafts posts in your exact tone from short voice notes.\n57. Mini-Doc Filmmaker - Converts long interviews into short “founder journey” reels.\n58. Competitor Ad Spy - Scrapes ad libraries to surface patterns worth copying.\n59. Newsletter Curator - Collects and summarizes top industry posts in your niche.\n60. Visual-Identity Enforcer - Ensures all posts use your color palette, logo, and style.\n\nMaking the Product Smarter (User Insight + Growth Loops):\n\n61. Feature Usage Tracker - Identifies underused features and recommends UI tweaks.\n62. Referral Loop Builder - Builds and runs mini referral campaigns dynamically.\n63. Behavior Predictor - Forecasts which users are likely to upgrade or churn.\n64. 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Regulatory Impact Analysis\n\n\"What are the latest regulations affecting [industry] in [region]? 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Funding & Investment Trends\n\n\"Show me all funding rounds in [sector] from the last quarter. Include amounts, lead investors, valuations when available, and emerging patterns. Which sub-sectors are getting the most capital?\" https://t.co/mlmTmMDqn8","in_reply_to_user_id_str":"1433898842865520644","in_reply_to_status_id_str":"1986407822805115086","is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[0,232],"entities":{"hashtags":[],"media":[{"display_url":"pic.x.com/mILVNXQUwY","expanded_url":"https://x.com/bigaiguy/status/1986407971740618956/video/1","id_str":"1986407914912030722","indices":[233,256],"media_key":"13_1986407914912030722","media_url_https":"https://pbs.twimg.com/amplify_video_thumb/1986407914912030722/img/YoLZw3WV6EU2ka-c.jpg","type":"video","url":"https://t.co/mILVNXQUwY","additional_media_info":{"monetizable":false},"ext_media_availability":{"status":"Available"},"sizes":{"large":{"h":1080,"w":2032,"resize":"fit"},"medium":{"h":638,"w":1200,"resize":"fit"},"small":{"h":361,"w":680,"resize":"fit"},"thumb":{"h":150,"w":150,"resize":"crop"}},"original_info":{"height":1080,"width":2032,"focus_rects":[]},"video_info":{"aspect_ratio":[254,135],"duration_millis":13250,"variants":[{"content_type":"application/x-mpegURL","url":"https://video.twimg.com/amplify_video/1986407914912030722/pl/W0n4lnMLtnWS9ZXM.m3u8?tag=14"},{"bitrate":288000,"content_type":"video/mp4","url":"https://video.twimg.com/amplify_video/1986407914912030722/vid/avc1/508x270/aOCauirkW2ppY8MG.mp4?tag=14"},{"bitrate":832000,"content_type":"video/mp4","url":"https://video.twimg.com/amplify_video/1986407914912030722/vid/avc1/676x360/HDDxeI4e5ywG972-.mp4?tag=14"},{"bitrate":2176000,"content_type":"video/mp4","url":"https://video.twimg.com/amplify_video/1986407914912030722/vid/avc1/1354x720/fkbtL7Pj0uQFuqXm.mp4?tag=14"}]},"media_results":{"result":{"media_key":"13_1986407914912030722"}}}],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"extended_entities":{"media":[{"display_url":"pic.x.com/mILVNXQUwY","expanded_url":"https://x.com/bigaiguy/status/1986407971740618956/video/1","id_str":"1986407914912030722","indices":[233,256],"media_key":"13_1986407914912030722","media_url_https":"https://pbs.twimg.com/amplify_video_thumb/1986407914912030722/img/YoLZw3WV6EU2ka-c.jpg","type":"video","url":"https://t.co/mILVNXQUwY","additional_media_info":{"monetizable":false},"ext_media_availability":{"status":"Available"},"sizes":{"large":{"h":1080,"w":2032,"resize":"fit"},"medium":{"h":638,"w":1200,"resize":"fit"},"small":{"h":361,"w":680,"resize":"fit"},"thumb":{"h":150,"w":150,"resize":"crop"}},"original_info":{"height":1080,"width":2032,"focus_rects":[]},"video_info":{"aspect_ratio":[254,135],"duration_millis":13250,"variants":[{"content_type":"application/x-mpegURL","url":"https://video.twimg.com/amplify_video/1986407914912030722/pl/W0n4lnMLtnWS9ZXM.m3u8?tag=14"},{"bitrate":288000,"content_type":"video/mp4","url":"https://video.twimg.com/amplify_video/1986407914912030722/vid/avc1/508x270/aOCauirkW2ppY8MG.mp4?tag=14"},{"bitrate":832000,"content_type":"video/mp4","url":"https://video.twimg.com/amplify_video/1986407914912030722/vid/avc1/676x360/HDDxeI4e5ywG972-.mp4?tag=14"},{"bitrate":2176000,"content_type":"video/mp4","url":"https://video.twimg.com/amplify_video/1986407914912030722/vid/avc1/1354x720/fkbtL7Pj0uQFuqXm.mp4?tag=14"}]},"media_results":{"result":{"media_key":"13_1986407914912030722"}}}]},"favorited":false,"in_reply_to_screen_name":"bigaiguy","lang":"en","possibly_sensitive":false,"possibly_sensitive_editable":true,"retweeted":false,"fact_check":null,"id":"1986407971740618956","view_count":982,"bookmark_count":1,"created_at":1762431540000,"favorite_count":5,"quote_count":0,"reply_count":1,"retweet_count":0,"user_id_str":"1433898842865520644","conversation_id_str":"1986407588435837439","full_text":"5. Technical Benchmark Synthesis\n\n\"Compare performance benchmarks for [technology/framework] across: latency, throughput, resource usage, cost efficiency. Use data from official docs, third-party tests, and production case studies.\" https://t.co/mILVNXQUwY","in_reply_to_user_id_str":"1433898842865520644","in_reply_to_status_id_str":"1986407901838385455","is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[0,233],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"in_reply_to_screen_name":"bigaiguy","lang":"en","retweeted":false,"fact_check":null,"id":"1986407983786643909","view_count":834,"bookmark_count":3,"created_at":1762431543000,"favorite_count":6,"quote_count":0,"reply_count":1,"retweet_count":0,"user_id_str":"1433898842865520644","conversation_id_str":"1986407588435837439","full_text":"6. 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Available now.\n\nRead the paper: arxiv. org/abs/2510.01171\n\nThe AI diversity bottleneck just got solved with 8 words.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[0,276],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1979626798666203496","view_count":4885,"bookmark_count":8,"created_at":1760814783000,"favorite_count":15,"quote_count":0,"reply_count":2,"retweet_count":6,"user_id_str":"1433898842865520644","conversation_id_str":"1979626798666203496","full_text":"Every LLM project starts with big dreams and ends the same way:\n\na developer buried in authentication errors and API spaghetti 🍝\n\nYou start simple - “let’s connect Claude to GitHub.”\n\nBut then come the headaches:\n\n→ Token scopes that expire mid-call\n→ OAuth configs that break in prod\n→ Compliance teams asking for audits\n→ Logs scattered across 5 tools\n\nYou thought you were building an AI product...\n\nbut you’re actually maintaining a fragile web of integrations.\n\nIt’s not your fault.\n\nUntil now, there’s never been a clean way to make LLMs talk to your tools safely.\n\nThat’s finally changed 👇","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[0,281],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1979609858816024819","view_count":1261,"bookmark_count":16,"created_at":1760810744000,"favorite_count":7,"quote_count":0,"reply_count":2,"retweet_count":2,"user_id_str":"1433898842865520644","conversation_id_str":"1979609858816024819","full_text":"Everyone's spazzing about OpenAI Agent Builder. Here are 75 use-cases that are actually realistic for startup founders (For inspiration purposes) \n\n(And scroll for some demos)\n\nKeeping the Lights On (Ops & Admin Stuff Nobody Enjoys):\n\n1. Pitch-deck Research - Auto-pulls market data, competitor metrics, and benchmarks into your fundraising slides.\n2. Meeting-to-Milestone - Turns Zoom/Slack transcripts into Asana/Jira tasks with deadlines and owners.\n3. Contract Simplifier - Converts long legal docs into plain-English terms and flags risk areas.\n4. Cross-Tool Sync - Keeps data consistent between Notion, Airtable, and your CRM without APIs.\n5. Cashflow Forecaster - Simulates runway changes based on invoices and goals.\n6. Vendor Negotiator - Monitors SaaS subscriptions and auto-renegotiates prices or cancels underused ones.\n7. Freelancer Coordinator - Auto-onboards, briefs, and quality-checks deliverables for contractors.\n8. Async-Team Updater - Summarizes Slack + GitHub + Notion changes into daily digest emails.\n9. Regulation Watchdog - Tracks evolving compliance (GDPR, AI Act, etc.) relevant to your niche.\n10. Investor-Update Generator - Compiles metrics, visuals, and narrative into monthly investor emails.\n\nGetting People to Actually Care (Marketing & Growth):\n\n11. Micro-Content Machine - Slices long videos/podcasts into viral short-form clips and threads.\n12. Cold Email Optimizer - Runs A/B tests on intros, subject lines, and send times automatically.\n13. PR Scout - Finds journalists covering your space and drafts personalized pitches.\n14. Community Grower - Joins relevant Discords, adds value, and reports back key insights.\n15. Ad-Creative Critic - Reviews ad visuals and copy for emotion, clarity, and novelty.\n16. SEO Intelligence Tool - Tracks ranking shifts and generates keyword clusters to attack next.\n17. Influencer Matcher - Pairs your brand with micro-creators by audience fit + cost.\n18. Affiliate Partner Manager - Tracks clicks, conversions, and payouts automatically.\n19. Brand Voice Keeper - Keeps tone/style consistent across every AI-written thing you ship.\n20. Waitlist Funnel Builder - Personalizes onboarding emails and landing pages by user intent.\n\nKeeping Users Happy (and Paying):\n\n21. Refund Resolver - Negotiates win-back offers or loyalty credits automatically.\n22. Usage Drop Detector - Flags inactive users and triggers custom outreach.\n23. Feedback Summarizer - Turns thousands of reviews into product insights and sentiment charts.\n24. Onboarding Concierge - Handholds users through setup via chat or video demo.\n25. Intent Classifier - Routes support tickets by topic (sales, tech issue, cancellation risk).\n26. Community Moderator - Removes spam/toxicity while preserving humor and nuance.\n27. Demo Assistant - Runs interactive live demos tailored to each user type.\n28. Survey Insight Tool - Analyzes surveys and suggests 3 high-ROI product fixes.\n29. Live-Chat Deal Closer - Autonomously qualifies and nudges leads to convert.\n30. Help-Center Rewriter - Updates FAQs automatically based on common support tickets.\n\nBuilding the Actual Thing (Product & Engineering):\n\n31. Feature-Spec Drafter - Translates brainstorm notes into clean PRDs.\n32. Design Handoff Tool - Converts Figma → React/Vue components with documentation.\n33. Release-Note Writer - Summarizes commits into human-readable updates.\n34. Bug Triage System - Detects duplicates, assigns severity, and routes automatically.\n35. API Doc Keeper - Scans your repo and keeps API docs fresh.\n36. Dev-Cost Monitor - Tracks compute/API spend and alerts waste.\n37. Test-Data Generator - Builds realistic datasets for QA.\n38. Prompt Consistency Checker - Ensures your LLM prompts don’t drift across versions.\n39. Localization Engine - Translates UI and docs with cultural tone detection.\n40. Data-Pipeline Fixer - Identifies broken ETL jobs and repairs them autonomously.\n\nSurviving the Game (Strategy, Fundraising, and Leverage):\n\n41. Co-Founder Matcher - Finds complementary operator/technical profiles.\n42. Micro-M&A Scout - Surfaces small SaaS tools worth acquiring.\n43. Pitch Simulator - Roleplays as skeptical investors and scores your pitch.\n44. Pricing Elasticity Tool - Runs invisible A/B tests to find the ideal price point.\n45. Cap Table Tracker - Models dilution scenarios before new rounds.\n46. Grant Finder - Identifies relevant grants and drafts application materials.\n47. Talent Headhunter - Scouts contractors with niche skills across the web.\n48. Partnership Explorer - Finds other startups for collabs or cross-promotions.\n49. Acquisition Readiness Tool - Builds your data room and standardizes KPIs.\n50. AI Chief of Staff - Coordinates your other agents to run the business.\n\nMaking Noise Online (Brand, Content, and Distribution):\n\n51. Hook Tester - A/B tests tweet hooks, thumbnails, and titles for engagement.\n52. Trend Watcher - Monitors niche communities for emerging topics to hijack.\n53. Podcast Booker - Finds hosts who’d feature you and drafts cold outreach.\n54. Social Proof Builder - Auto-compiles testimonials, quotes, and reviews into carousels.\n55. Comment Replyer - Posts clever, on-brand replies on high-traffic posts.\n56. Thought-Leader Ghostwriter - Drafts posts in your exact tone from short voice notes.\n57. Mini-Doc Filmmaker - Converts long interviews into short “founder journey” reels.\n58. Competitor Ad Spy - Scrapes ad libraries to surface patterns worth copying.\n59. Newsletter Curator - Collects and summarizes top industry posts in your niche.\n60. Visual-Identity Enforcer - Ensures all posts use your color palette, logo, and style.\n\nMaking the Product Smarter (User Insight + Growth Loops):\n\n61. Feature Usage Tracker - Identifies underused features and recommends UI tweaks.\n62. Referral Loop Builder - Builds and runs mini referral campaigns dynamically.\n63. Behavior Predictor - Forecasts which users are likely to upgrade or churn.\n64. Persona Generator - Turns user data into living, evolving personas.\n65. Dynamic Pricing System - Adjusts subscription pricing based on demand or seasonality.\n66. Community Ambassador Recruiter - Finds your top users and recruits them for advocacy.\n67. Lifetime-Value Tracker - Calculates LTV/CAC automatically and benchmarks it.\n68. Retention Playbook Builder - Watches user behavior and triggers personalized win-backs.\n69. Trial-to-Paid Optimizer - Tests onboarding flows and recommends improvements.\n70. Gamification Designer - Creates reward loops or point systems for user retention.\n\nBig-Brain Founder Stuff (Thinking, Learning, and Vision):\n\n71. Reading Synthesizer - Summarizes research papers or essays into insights relevant to your product.\n72. Idea Validator - Runs small-scale surveys + search data to test demand.\n73. Competitor Thesis Tracker - Keeps tabs on how rival founders talk about their vision.\n74. 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Regulatory Impact Analysis\n\n\"What are the latest regulations affecting [industry] in [region]? 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Funding & Investment Trends\n\n\"Show me all funding rounds in [sector] from the last quarter. Include amounts, lead investors, valuations when available, and emerging patterns. Which sub-sectors are getting the most capital?\" https://t.co/mlmTmMDqn8","in_reply_to_user_id_str":"1433898842865520644","in_reply_to_status_id_str":"1986407822805115086","is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[0,232],"entities":{"hashtags":[],"media":[{"display_url":"pic.x.com/mILVNXQUwY","expanded_url":"https://x.com/bigaiguy/status/1986407971740618956/video/1","id_str":"1986407914912030722","indices":[233,256],"media_key":"13_1986407914912030722","media_url_https":"https://pbs.twimg.com/amplify_video_thumb/1986407914912030722/img/YoLZw3WV6EU2ka-c.jpg","type":"video","url":"https://t.co/mILVNXQUwY","additional_media_info":{"monetizable":false},"ext_media_availability":{"status":"Available"},"sizes":{"large":{"h":1080,"w":2032,"resize":"fit"},"medium":{"h":638,"w":1200,"resize":"fit"},"small":{"h":361,"w":680,"resize":"fit"},"thumb":{"h":150,"w":150,"resize":"crop"}},"original_info":{"height":1080,"width":2032,"focus_rects":[]},"video_info":{"aspect_ratio":[254,135],"duration_millis":13250,"variants":[{"content_type":"application/x-mpegURL","url":"https://video.twimg.com/amplify_video/1986407914912030722/pl/W0n4lnMLtnWS9ZXM.m3u8?tag=14"},{"bitrate":288000,"content_type":"video/mp4","url":"https://video.twimg.com/amplify_video/1986407914912030722/vid/avc1/508x270/aOCauirkW2ppY8MG.mp4?tag=14"},{"bitrate":832000,"content_type":"video/mp4","url":"https://video.twimg.com/amplify_video/1986407914912030722/vid/avc1/676x360/HDDxeI4e5ywG972-.mp4?tag=14"},{"bitrate":2176000,"content_type":"video/mp4","url":"https://video.twimg.com/amplify_video/1986407914912030722/vid/avc1/1354x720/fkbtL7Pj0uQFuqXm.mp4?tag=14"}]},"media_results":{"result":{"media_key":"13_1986407914912030722"}}}],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"extended_entities":{"media":[{"display_url":"pic.x.com/mILVNXQUwY","expanded_url":"https://x.com/bigaiguy/status/1986407971740618956/video/1","id_str":"1986407914912030722","indices":[233,256],"media_key":"13_1986407914912030722","media_url_https":"https://pbs.twimg.com/amplify_video_thumb/1986407914912030722/img/YoLZw3WV6EU2ka-c.jpg","type":"video","url":"https://t.co/mILVNXQUwY","additional_media_info":{"monetizable":false},"ext_media_availability":{"status":"Available"},"sizes":{"large":{"h":1080,"w":2032,"resize":"fit"},"medium":{"h":638,"w":1200,"resize":"fit"},"small":{"h":361,"w":680,"resize":"fit"},"thumb":{"h":150,"w":150,"resize":"crop"}},"original_info":{"height":1080,"width":2032,"focus_rects":[]},"video_info":{"aspect_ratio":[254,135],"duration_millis":13250,"variants":[{"content_type":"application/x-mpegURL","url":"https://video.twimg.com/amplify_video/1986407914912030722/pl/W0n4lnMLtnWS9ZXM.m3u8?tag=14"},{"bitrate":288000,"content_type":"video/mp4","url":"https://video.twimg.com/amplify_video/1986407914912030722/vid/avc1/508x270/aOCauirkW2ppY8MG.mp4?tag=14"},{"bitrate":832000,"content_type":"video/mp4","url":"https://video.twimg.com/amplify_video/1986407914912030722/vid/avc1/676x360/HDDxeI4e5ywG972-.mp4?tag=14"},{"bitrate":2176000,"content_type":"video/mp4","url":"https://video.twimg.com/amplify_video/1986407914912030722/vid/avc1/1354x720/fkbtL7Pj0uQFuqXm.mp4?tag=14"}]},"media_results":{"result":{"media_key":"13_1986407914912030722"}}}]},"favorited":false,"in_reply_to_screen_name":"bigaiguy","lang":"en","possibly_sensitive":false,"possibly_sensitive_editable":true,"retweeted":false,"fact_check":null,"id":"1986407971740618956","view_count":982,"bookmark_count":1,"created_at":1762431540000,"favorite_count":5,"quote_count":0,"reply_count":1,"retweet_count":0,"user_id_str":"1433898842865520644","conversation_id_str":"1986407588435837439","full_text":"5. Technical Benchmark Synthesis\n\n\"Compare performance benchmarks for [technology/framework] across: latency, throughput, resource usage, cost efficiency. Use data from official docs, third-party tests, and production case studies.\" https://t.co/mILVNXQUwY","in_reply_to_user_id_str":"1433898842865520644","in_reply_to_status_id_str":"1986407901838385455","is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[0,233],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"in_reply_to_screen_name":"bigaiguy","lang":"en","retweeted":false,"fact_check":null,"id":"1986407983786643909","view_count":834,"bookmark_count":3,"created_at":1762431543000,"favorite_count":6,"quote_count":0,"reply_count":1,"retweet_count":0,"user_id_str":"1433898842865520644","conversation_id_str":"1986407588435837439","full_text":"6. 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can:","in_reply_to_user_id_str":"1433898842865520644","in_reply_to_status_id_str":"1978769105705669006","is_quote_status":1,"is_ai":null,"ai_score":null}]},{"label":"2025-10-18","value":2,"startTime":1760659200000,"endTime":1760745600000,"tweets":[{"bookmarked":false,"display_text_range":[0,257],"entities":{"hashtags":[],"media":[{"display_url":"pic.x.com/wDlxUjyz0o","expanded_url":"https://x.com/bigaiguy/status/1979104753843081525/photo/1","id_str":"1979104750978371587","indices":[258,281],"media_key":"3_1979104750978371587","media_url_https":"https://pbs.twimg.com/media/G3cxSQdakAMRNov.jpg","type":"photo","url":"https://t.co/wDlxUjyz0o","ext_media_availability":{"status":"Available"},"features":{"large":{"faces":[{"x":287,"y":66,"h":136,"w":136}]},"medium":{"faces":[{"x":261,"y":60,"h":124,"w":124}]},"small":{"faces":[{"x":148,"y":34,"h":70,"w":70}]},"orig":{"faces":[{"x":287,"y":66,"h":136,"w":136}]}},"sizes":{"large":{"h":800,"w":1316,"resize":"fit"},"medium":{"h":729,"w":1200,"resize":"fit"},"small":{"h":413,"w":680,"resize":"fit"},"thumb":{"h":150,"w":150,"resize":"crop"}},"original_info":{"height":800,"width":1316,"focus_rects":[{"x":0,"y":58,"w":1316,"h":737},{"x":157,"y":0,"w":800,"h":800},{"x":206,"y":0,"w":702,"h":800},{"x":357,"y":0,"w":400,"h":800},{"x":0,"y":0,"w":1316,"h":800}]},"media_results":{"result":{"media_key":"3_1979104750978371587"}}}],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"extended_entities":{"media":[{"display_url":"pic.x.com/wDlxUjyz0o","expanded_url":"https://x.com/bigaiguy/status/1979104753843081525/photo/1","id_str":"1979104750978371587","indices":[258,281],"media_key":"3_1979104750978371587","media_url_https":"https://pbs.twimg.com/media/G3cxSQdakAMRNov.jpg","type":"photo","url":"https://t.co/wDlxUjyz0o","ext_media_availability":{"status":"Available"},"features":{"large":{"faces":[{"x":287,"y":66,"h":136,"w":136}]},"medium":{"faces":[{"x":261,"y":60,"h":124,"w":124}]},"small":{"faces":[{"x":148,"y":34,"h":70,"w":70}]},"orig":{"faces":[{"x":287,"y":66,"h":136,"w":136}]}},"sizes":{"large":{"h":800,"w":1316,"resize":"fit"},"medium":{"h":729,"w":1200,"resize":"fit"},"small":{"h":413,"w":680,"resize":"fit"},"thumb":{"h":150,"w":150,"resize":"crop"}},"original_info":{"height":800,"width":1316,"focus_rects":[{"x":0,"y":58,"w":1316,"h":737},{"x":157,"y":0,"w":800,"h":800},{"x":206,"y":0,"w":702,"h":800},{"x":357,"y":0,"w":400,"h":800},{"x":0,"y":0,"w":1316,"h":800}]},"media_results":{"result":{"media_key":"3_1979104750978371587"}}}]},"favorited":false,"lang":"en","possibly_sensitive":false,"possibly_sensitive_editable":true,"retweeted":false,"fact_check":null,"id":"1979104753843081525","view_count":3810,"bookmark_count":8,"created_at":1760690317000,"favorite_count":22,"quote_count":1,"reply_count":2,"retweet_count":12,"user_id_str":"1433898842865520644","conversation_id_str":"1979104753843081525","full_text":"Fuck it.\n\nI'm sharing the JSON prompting secrets that saved me from 6 months of broken AI agents.\n\nMost developers are building agents that crash because they can't write a proper JSON prompt.\n\nHere's everything I learned from debugging 500+ agent failures: https://t.co/wDlxUjyz0o","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[9,73],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"1961163112356384768","name":"Thine","screen_name":"ThineAI","indices":[0,8]}]},"favorited":false,"in_reply_to_screen_name":"ThineAI","lang":"en","retweeted":false,"fact_check":null,"id":"1979202645555314854","view_count":137,"bookmark_count":0,"created_at":1760713657000,"favorite_count":0,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"1433898842865520644","conversation_id_str":"1979194535663059095","full_text":"@ThineAI If they pull this off, it’ll redefine what AI assistants mean...","in_reply_to_user_id_str":"1961163112356384768","in_reply_to_status_id_str":"1979194535663059095","is_quote_status":0,"is_ai":null,"ai_score":null}]},{"label":"2025-10-19","value":5,"startTime":1760745600000,"endTime":1760832000000,"tweets":[{"bookmarked":false,"display_text_range":[0,277],"entities":{"hashtags":[],"media":[{"display_url":"pic.x.com/nYSt6JVA3P","expanded_url":"https://x.com/bigaiguy/status/1979503721680957528/photo/1","id_str":"1979503717985755136","indices":[278,301],"media_key":"3_1979503717985755136","media_url_https":"https://pbs.twimg.com/media/G3icJMYbIAATUmw.jpg","type":"photo","url":"https://t.co/nYSt6JVA3P","ext_media_availability":{"status":"Available"},"features":{"large":{"faces":[]},"medium":{"faces":[]},"small":{"faces":[]},"orig":{"faces":[]}},"sizes":{"large":{"h":1142,"w":1108,"resize":"fit"},"medium":{"h":1142,"w":1108,"resize":"fit"},"small":{"h":680,"w":660,"resize":"fit"},"thumb":{"h":150,"w":150,"resize":"crop"}},"original_info":{"height":1142,"width":1108,"focus_rects":[{"x":0,"y":0,"w":1108,"h":620},{"x":0,"y":0,"w":1108,"h":1108},{"x":106,"y":0,"w":1002,"h":1142},{"x":371,"y":0,"w":571,"h":1142},{"x":0,"y":0,"w":1108,"h":1142}]},"media_results":{"result":{"media_key":"3_1979503717985755136"}}}],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"extended_entities":{"media":[{"display_url":"pic.x.com/nYSt6JVA3P","expanded_url":"https://x.com/bigaiguy/status/1979503721680957528/photo/1","id_str":"1979503717985755136","indices":[278,301],"media_key":"3_1979503717985755136","media_url_https":"https://pbs.twimg.com/media/G3icJMYbIAATUmw.jpg","type":"photo","url":"https://t.co/nYSt6JVA3P","ext_media_availability":{"status":"Available"},"features":{"large":{"faces":[]},"medium":{"faces":[]},"small":{"faces":[]},"orig":{"faces":[]}},"sizes":{"large":{"h":1142,"w":1108,"resize":"fit"},"medium":{"h":1142,"w":1108,"resize":"fit"},"small":{"h":680,"w":660,"resize":"fit"},"thumb":{"h":150,"w":150,"resize":"crop"}},"original_info":{"height":1142,"width":1108,"focus_rects":[{"x":0,"y":0,"w":1108,"h":620},{"x":0,"y":0,"w":1108,"h":1108},{"x":106,"y":0,"w":1002,"h":1142},{"x":371,"y":0,"w":571,"h":1142},{"x":0,"y":0,"w":1108,"h":1142}]},"media_results":{"result":{"media_key":"3_1979503717985755136"}}}]},"favorited":false,"lang":"en","possibly_sensitive":false,"possibly_sensitive_editable":true,"retweeted":false,"fact_check":null,"id":"1979503721680957528","view_count":1322,"bookmark_count":7,"created_at":1760785439000,"favorite_count":9,"quote_count":0,"reply_count":1,"retweet_count":2,"user_id_str":"1433898842865520644","conversation_id_str":"1979503721680957528","full_text":"RIP prompt engineering ☠️\n\nThis new Stanford paper just made it irrelevant with a single technique.\n\nIt's called Verbalized Sampling and it proves aligned AI models aren't broken we've just been prompting them wrong this whole time.\n\nHere's the problem: Post-training alignment causes mode collapse. Ask ChatGPT \"tell me a joke about coffee\" 5 times and you'll get the SAME joke. Every. Single. Time.\n\nEveryone blamed the algorithms. Turns out, it's deeper than that.\n\nThe real culprit? 'Typicality bias' in human preference data. Annotators systematically favor familiar, conventional responses. This bias gets baked into reward models, and aligned models collapse to the most \"typical\" output.\n\nThe math is brutal: when you have multiple valid answers (like creative writing), typicality becomes the tie-breaker. The model picks the safest, most stereotypical response every time.\n\nBut here's the kicker: the diversity is still there. It's just trapped.\n\nIntroducing \"Verbalized Sampling.\"\n\nInstead of asking \"Tell me a joke,\" you ask: \"Generate 5 jokes with their probabilities.\"\n\nThat's it. No retraining. No fine-tuning. Just a different prompt.\n\nThe results are insane:\n\n- 1.6-2.1× diversity increase on creative writing\n- 66.8% recovery of base model diversity\n- Zero loss in factual accuracy or safety\n\nWhy does this work? Different prompts collapse to different modes.\n\nWhen you ask for ONE response, you get the mode joke. When you ask for a DISTRIBUTION, you get the actual diverse distribution the model learned during pretraining.\n\nThey tested it everywhere:\n\n✓ Creative writing (poems, stories, jokes)\n✓ Dialogue simulation\n✓ Open-ended QA\n✓ Synthetic data generation\n\nAnd here's the emergent trend: \"larger models benefit MORE from this.\"\n\nGPT-4 gains 2× the diversity improvement compared to GPT-4-mini.\n\nThe bigger the model, the more trapped diversity it has.\n\nThis flips everything we thought about alignment. Mode collapse isn't permanent damage it's a prompting problem.\n\nThe diversity was never lost. We just forgot how to access it.\n\n100% training-free. Works on ANY aligned model. Available now.\n\nRead the paper: arxiv. org/abs/2510.01171\n\nThe AI diversity bottleneck just got solved with 8 words.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[0,276],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1979626798666203496","view_count":4885,"bookmark_count":8,"created_at":1760814783000,"favorite_count":15,"quote_count":0,"reply_count":2,"retweet_count":6,"user_id_str":"1433898842865520644","conversation_id_str":"1979626798666203496","full_text":"Every LLM project starts with big dreams and ends the same way:\n\na developer buried in authentication errors and API spaghetti 🍝\n\nYou start simple - “let’s connect Claude to GitHub.”\n\nBut then come the headaches:\n\n→ Token scopes that expire mid-call\n→ OAuth configs that break in prod\n→ Compliance teams asking for audits\n→ Logs scattered across 5 tools\n\nYou thought you were building an AI product...\n\nbut you’re actually maintaining a fragile web of integrations.\n\nIt’s not your fault.\n\nUntil now, there’s never been a clean way to make LLMs talk to your tools safely.\n\nThat’s finally changed 👇","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[0,281],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1979609858816024819","view_count":1261,"bookmark_count":16,"created_at":1760810744000,"favorite_count":7,"quote_count":0,"reply_count":2,"retweet_count":2,"user_id_str":"1433898842865520644","conversation_id_str":"1979609858816024819","full_text":"Everyone's spazzing about OpenAI Agent Builder. Here are 75 use-cases that are actually realistic for startup founders (For inspiration purposes) \n\n(And scroll for some demos)\n\nKeeping the Lights On (Ops & Admin Stuff Nobody Enjoys):\n\n1. Pitch-deck Research - Auto-pulls market data, competitor metrics, and benchmarks into your fundraising slides.\n2. Meeting-to-Milestone - Turns Zoom/Slack transcripts into Asana/Jira tasks with deadlines and owners.\n3. Contract Simplifier - Converts long legal docs into plain-English terms and flags risk areas.\n4. Cross-Tool Sync - Keeps data consistent between Notion, Airtable, and your CRM without APIs.\n5. Cashflow Forecaster - Simulates runway changes based on invoices and goals.\n6. Vendor Negotiator - Monitors SaaS subscriptions and auto-renegotiates prices or cancels underused ones.\n7. Freelancer Coordinator - Auto-onboards, briefs, and quality-checks deliverables for contractors.\n8. Async-Team Updater - Summarizes Slack + GitHub + Notion changes into daily digest emails.\n9. Regulation Watchdog - Tracks evolving compliance (GDPR, AI Act, etc.) relevant to your niche.\n10. Investor-Update Generator - Compiles metrics, visuals, and narrative into monthly investor emails.\n\nGetting People to Actually Care (Marketing & Growth):\n\n11. Micro-Content Machine - Slices long videos/podcasts into viral short-form clips and threads.\n12. Cold Email Optimizer - Runs A/B tests on intros, subject lines, and send times automatically.\n13. PR Scout - Finds journalists covering your space and drafts personalized pitches.\n14. Community Grower - Joins relevant Discords, adds value, and reports back key insights.\n15. Ad-Creative Critic - Reviews ad visuals and copy for emotion, clarity, and novelty.\n16. SEO Intelligence Tool - Tracks ranking shifts and generates keyword clusters to attack next.\n17. Influencer Matcher - Pairs your brand with micro-creators by audience fit + cost.\n18. Affiliate Partner Manager - Tracks clicks, conversions, and payouts automatically.\n19. Brand Voice Keeper - Keeps tone/style consistent across every AI-written thing you ship.\n20. Waitlist Funnel Builder - Personalizes onboarding emails and landing pages by user intent.\n\nKeeping Users Happy (and Paying):\n\n21. Refund Resolver - Negotiates win-back offers or loyalty credits automatically.\n22. Usage Drop Detector - Flags inactive users and triggers custom outreach.\n23. Feedback Summarizer - Turns thousands of reviews into product insights and sentiment charts.\n24. Onboarding Concierge - Handholds users through setup via chat or video demo.\n25. Intent Classifier - Routes support tickets by topic (sales, tech issue, cancellation risk).\n26. Community Moderator - Removes spam/toxicity while preserving humor and nuance.\n27. Demo Assistant - Runs interactive live demos tailored to each user type.\n28. Survey Insight Tool - Analyzes surveys and suggests 3 high-ROI product fixes.\n29. Live-Chat Deal Closer - Autonomously qualifies and nudges leads to convert.\n30. Help-Center Rewriter - Updates FAQs automatically based on common support tickets.\n\nBuilding the Actual Thing (Product & Engineering):\n\n31. Feature-Spec Drafter - Translates brainstorm notes into clean PRDs.\n32. Design Handoff Tool - Converts Figma → React/Vue components with documentation.\n33. Release-Note Writer - Summarizes commits into human-readable updates.\n34. Bug Triage System - Detects duplicates, assigns severity, and routes automatically.\n35. API Doc Keeper - Scans your repo and keeps API docs fresh.\n36. Dev-Cost Monitor - Tracks compute/API spend and alerts waste.\n37. Test-Data Generator - Builds realistic datasets for QA.\n38. Prompt Consistency Checker - Ensures your LLM prompts don’t drift across versions.\n39. Localization Engine - Translates UI and docs with cultural tone detection.\n40. Data-Pipeline Fixer - Identifies broken ETL jobs and repairs them autonomously.\n\nSurviving the Game (Strategy, Fundraising, and Leverage):\n\n41. Co-Founder Matcher - Finds complementary operator/technical profiles.\n42. Micro-M&A Scout - Surfaces small SaaS tools worth acquiring.\n43. Pitch Simulator - Roleplays as skeptical investors and scores your pitch.\n44. Pricing Elasticity Tool - Runs invisible A/B tests to find the ideal price point.\n45. Cap Table Tracker - Models dilution scenarios before new rounds.\n46. Grant Finder - Identifies relevant grants and drafts application materials.\n47. Talent Headhunter - Scouts contractors with niche skills across the web.\n48. Partnership Explorer - Finds other startups for collabs or cross-promotions.\n49. Acquisition Readiness Tool - Builds your data room and standardizes KPIs.\n50. AI Chief of Staff - Coordinates your other agents to run the business.\n\nMaking Noise Online (Brand, Content, and Distribution):\n\n51. Hook Tester - A/B tests tweet hooks, thumbnails, and titles for engagement.\n52. Trend Watcher - Monitors niche communities for emerging topics to hijack.\n53. Podcast Booker - Finds hosts who’d feature you and drafts cold outreach.\n54. Social Proof Builder - Auto-compiles testimonials, quotes, and reviews into carousels.\n55. Comment Replyer - Posts clever, on-brand replies on high-traffic posts.\n56. Thought-Leader Ghostwriter - Drafts posts in your exact tone from short voice notes.\n57. Mini-Doc Filmmaker - Converts long interviews into short “founder journey” reels.\n58. Competitor Ad Spy - Scrapes ad libraries to surface patterns worth copying.\n59. Newsletter Curator - Collects and summarizes top industry posts in your niche.\n60. Visual-Identity Enforcer - Ensures all posts use your color palette, logo, and style.\n\nMaking the Product Smarter (User Insight + Growth Loops):\n\n61. Feature Usage Tracker - Identifies underused features and recommends UI tweaks.\n62. Referral Loop Builder - Builds and runs mini referral campaigns dynamically.\n63. Behavior Predictor - Forecasts which users are likely to upgrade or churn.\n64. Persona Generator - Turns user data into living, evolving personas.\n65. Dynamic Pricing System - Adjusts subscription pricing based on demand or seasonality.\n66. Community Ambassador Recruiter - Finds your top users and recruits them for advocacy.\n67. Lifetime-Value Tracker - Calculates LTV/CAC automatically and benchmarks it.\n68. Retention Playbook Builder - Watches user behavior and triggers personalized win-backs.\n69. Trial-to-Paid Optimizer - Tests onboarding flows and recommends improvements.\n70. Gamification Designer - Creates reward loops or point systems for user retention.\n\nBig-Brain Founder Stuff (Thinking, Learning, and Vision):\n\n71. Reading Synthesizer - Summarizes research papers or essays into insights relevant to your product.\n72. Idea Validator - Runs small-scale surveys + search data to test demand.\n73. Competitor Thesis Tracker - Keeps tabs on how rival founders talk about their vision.\n74. Market-Shift Detector - Monitors funding, hiring, and tech trends for new opportunities.\n75. Future-You Simulator - Models where your company ends up under different 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Regulatory Impact Analysis\n\n\"What are the latest regulations affecting [industry] in [region]? 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Funding & Investment Trends\n\n\"Show me all funding rounds in [sector] from the last quarter. Include amounts, lead investors, valuations when available, and emerging patterns. Which sub-sectors are getting the most capital?\" https://t.co/mlmTmMDqn8","in_reply_to_user_id_str":"1433898842865520644","in_reply_to_status_id_str":"1986407822805115086","is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[0,232],"entities":{"hashtags":[],"media":[{"display_url":"pic.x.com/mILVNXQUwY","expanded_url":"https://x.com/bigaiguy/status/1986407971740618956/video/1","id_str":"1986407914912030722","indices":[233,256],"media_key":"13_1986407914912030722","media_url_https":"https://pbs.twimg.com/amplify_video_thumb/1986407914912030722/img/YoLZw3WV6EU2ka-c.jpg","type":"video","url":"https://t.co/mILVNXQUwY","additional_media_info":{"monetizable":false},"ext_media_availability":{"status":"Available"},"sizes":{"large":{"h":1080,"w":2032,"resize":"fit"},"medium":{"h":638,"w":1200,"resize":"fit"},"small":{"h":361,"w":680,"resize":"fit"},"thumb":{"h":150,"w":150,"resize":"crop"}},"original_info":{"height":1080,"width":2032,"focus_rects":[]},"video_info":{"aspect_ratio":[254,135],"duration_millis":13250,"variants":[{"content_type":"application/x-mpegURL","url":"https://video.twimg.com/amplify_video/1986407914912030722/pl/W0n4lnMLtnWS9ZXM.m3u8?tag=14"},{"bitrate":288000,"content_type":"video/mp4","url":"https://video.twimg.com/amplify_video/1986407914912030722/vid/avc1/508x270/aOCauirkW2ppY8MG.mp4?tag=14"},{"bitrate":832000,"content_type":"video/mp4","url":"https://video.twimg.com/amplify_video/1986407914912030722/vid/avc1/676x360/HDDxeI4e5ywG972-.mp4?tag=14"},{"bitrate":2176000,"content_type":"video/mp4","url":"https://video.twimg.com/amplify_video/1986407914912030722/vid/avc1/1354x720/fkbtL7Pj0uQFuqXm.mp4?tag=14"}]},"media_results":{"result":{"media_key":"13_1986407914912030722"}}}],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"extended_entities":{"media":[{"display_url":"pic.x.com/mILVNXQUwY","expanded_url":"https://x.com/bigaiguy/status/1986407971740618956/video/1","id_str":"1986407914912030722","indices":[233,256],"media_key":"13_1986407914912030722","media_url_https":"https://pbs.twimg.com/amplify_video_thumb/1986407914912030722/img/YoLZw3WV6EU2ka-c.jpg","type":"video","url":"https://t.co/mILVNXQUwY","additional_media_info":{"monetizable":false},"ext_media_availability":{"status":"Available"},"sizes":{"large":{"h":1080,"w":2032,"resize":"fit"},"medium":{"h":638,"w":1200,"resize":"fit"},"small":{"h":361,"w":680,"resize":"fit"},"thumb":{"h":150,"w":150,"resize":"crop"}},"original_info":{"height":1080,"width":2032,"focus_rects":[]},"video_info":{"aspect_ratio":[254,135],"duration_millis":13250,"variants":[{"content_type":"application/x-mpegURL","url":"https://video.twimg.com/amplify_video/1986407914912030722/pl/W0n4lnMLtnWS9ZXM.m3u8?tag=14"},{"bitrate":288000,"content_type":"video/mp4","url":"https://video.twimg.com/amplify_video/1986407914912030722/vid/avc1/508x270/aOCauirkW2ppY8MG.mp4?tag=14"},{"bitrate":832000,"content_type":"video/mp4","url":"https://video.twimg.com/amplify_video/1986407914912030722/vid/avc1/676x360/HDDxeI4e5ywG972-.mp4?tag=14"},{"bitrate":2176000,"content_type":"video/mp4","url":"https://video.twimg.com/amplify_video/1986407914912030722/vid/avc1/1354x720/fkbtL7Pj0uQFuqXm.mp4?tag=14"}]},"media_results":{"result":{"media_key":"13_1986407914912030722"}}}]},"favorited":false,"in_reply_to_screen_name":"bigaiguy","lang":"en","possibly_sensitive":false,"possibly_sensitive_editable":true,"retweeted":false,"fact_check":null,"id":"1986407971740618956","view_count":982,"bookmark_count":1,"created_at":1762431540000,"favorite_count":5,"quote_count":0,"reply_count":1,"retweet_count":0,"user_id_str":"1433898842865520644","conversation_id_str":"1986407588435837439","full_text":"5. Technical Benchmark Synthesis\n\n\"Compare performance benchmarks for [technology/framework] across: latency, throughput, resource usage, cost efficiency. Use data from official docs, third-party tests, and production case studies.\" https://t.co/mILVNXQUwY","in_reply_to_user_id_str":"1433898842865520644","in_reply_to_status_id_str":"1986407901838385455","is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[0,233],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"in_reply_to_screen_name":"bigaiguy","lang":"en","retweeted":false,"fact_check":null,"id":"1986407983786643909","view_count":834,"bookmark_count":3,"created_at":1762431543000,"favorite_count":6,"quote_count":0,"reply_count":1,"retweet_count":0,"user_id_str":"1433898842865520644","conversation_id_str":"1986407588435837439","full_text":"6. 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Available now.\n\nRead the paper: arxiv. org/abs/2510.01171\n\nThe AI diversity bottleneck just got solved with 8 words.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[0,276],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1979626798666203496","view_count":4885,"bookmark_count":8,"created_at":1760814783000,"favorite_count":15,"quote_count":0,"reply_count":2,"retweet_count":6,"user_id_str":"1433898842865520644","conversation_id_str":"1979626798666203496","full_text":"Every LLM project starts with big dreams and ends the same way:\n\na developer buried in authentication errors and API spaghetti 🍝\n\nYou start simple - “let’s connect Claude to GitHub.”\n\nBut then come the headaches:\n\n→ Token scopes that expire mid-call\n→ OAuth configs that break in prod\n→ Compliance teams asking for audits\n→ Logs scattered across 5 tools\n\nYou thought you were building an AI product...\n\nbut you’re actually maintaining a fragile web of integrations.\n\nIt’s not your fault.\n\nUntil now, there’s never been a clean way to make LLMs talk to your tools safely.\n\nThat’s finally changed 👇","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[0,281],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1979609858816024819","view_count":1261,"bookmark_count":16,"created_at":1760810744000,"favorite_count":7,"quote_count":0,"reply_count":2,"retweet_count":2,"user_id_str":"1433898842865520644","conversation_id_str":"1979609858816024819","full_text":"Everyone's spazzing about OpenAI Agent Builder. Here are 75 use-cases that are actually realistic for startup founders (For inspiration purposes) \n\n(And scroll for some demos)\n\nKeeping the Lights On (Ops & Admin Stuff Nobody Enjoys):\n\n1. Pitch-deck Research - Auto-pulls market data, competitor metrics, and benchmarks into your fundraising slides.\n2. Meeting-to-Milestone - Turns Zoom/Slack transcripts into Asana/Jira tasks with deadlines and owners.\n3. Contract Simplifier - Converts long legal docs into plain-English terms and flags risk areas.\n4. Cross-Tool Sync - Keeps data consistent between Notion, Airtable, and your CRM without APIs.\n5. Cashflow Forecaster - Simulates runway changes based on invoices and goals.\n6. Vendor Negotiator - Monitors SaaS subscriptions and auto-renegotiates prices or cancels underused ones.\n7. Freelancer Coordinator - Auto-onboards, briefs, and quality-checks deliverables for contractors.\n8. Async-Team Updater - Summarizes Slack + GitHub + Notion changes into daily digest emails.\n9. Regulation Watchdog - Tracks evolving compliance (GDPR, AI Act, etc.) relevant to your niche.\n10. Investor-Update Generator - Compiles metrics, visuals, and narrative into monthly investor emails.\n\nGetting People to Actually Care (Marketing & Growth):\n\n11. Micro-Content Machine - Slices long videos/podcasts into viral short-form clips and threads.\n12. Cold Email Optimizer - Runs A/B tests on intros, subject lines, and send times automatically.\n13. PR Scout - Finds journalists covering your space and drafts personalized pitches.\n14. Community Grower - Joins relevant Discords, adds value, and reports back key insights.\n15. Ad-Creative Critic - Reviews ad visuals and copy for emotion, clarity, and novelty.\n16. SEO Intelligence Tool - Tracks ranking shifts and generates keyword clusters to attack next.\n17. Influencer Matcher - Pairs your brand with micro-creators by audience fit + cost.\n18. Affiliate Partner Manager - Tracks clicks, conversions, and payouts automatically.\n19. Brand Voice Keeper - Keeps tone/style consistent across every AI-written thing you ship.\n20. Waitlist Funnel Builder - Personalizes onboarding emails and landing pages by user intent.\n\nKeeping Users Happy (and Paying):\n\n21. Refund Resolver - Negotiates win-back offers or loyalty credits automatically.\n22. Usage Drop Detector - Flags inactive users and triggers custom outreach.\n23. Feedback Summarizer - Turns thousands of reviews into product insights and sentiment charts.\n24. Onboarding Concierge - Handholds users through setup via chat or video demo.\n25. Intent Classifier - Routes support tickets by topic (sales, tech issue, cancellation risk).\n26. Community Moderator - Removes spam/toxicity while preserving humor and nuance.\n27. Demo Assistant - Runs interactive live demos tailored to each user type.\n28. Survey Insight Tool - Analyzes surveys and suggests 3 high-ROI product fixes.\n29. Live-Chat Deal Closer - Autonomously qualifies and nudges leads to convert.\n30. Help-Center Rewriter - Updates FAQs automatically based on common support tickets.\n\nBuilding the Actual Thing (Product & Engineering):\n\n31. Feature-Spec Drafter - Translates brainstorm notes into clean PRDs.\n32. Design Handoff Tool - Converts Figma → React/Vue components with documentation.\n33. Release-Note Writer - Summarizes commits into human-readable updates.\n34. Bug Triage System - Detects duplicates, assigns severity, and routes automatically.\n35. API Doc Keeper - Scans your repo and keeps API docs fresh.\n36. Dev-Cost Monitor - Tracks compute/API spend and alerts waste.\n37. Test-Data Generator - Builds realistic datasets for QA.\n38. Prompt Consistency Checker - Ensures your LLM prompts don’t drift across versions.\n39. Localization Engine - Translates UI and docs with cultural tone detection.\n40. Data-Pipeline Fixer - Identifies broken ETL jobs and repairs them autonomously.\n\nSurviving the Game (Strategy, Fundraising, and Leverage):\n\n41. Co-Founder Matcher - Finds complementary operator/technical profiles.\n42. Micro-M&A Scout - Surfaces small SaaS tools worth acquiring.\n43. Pitch Simulator - Roleplays as skeptical investors and scores your pitch.\n44. Pricing Elasticity Tool - Runs invisible A/B tests to find the ideal price point.\n45. Cap Table Tracker - Models dilution scenarios before new rounds.\n46. Grant Finder - Identifies relevant grants and drafts application materials.\n47. Talent Headhunter - Scouts contractors with niche skills across the web.\n48. Partnership Explorer - Finds other startups for collabs or cross-promotions.\n49. Acquisition Readiness Tool - Builds your data room and standardizes KPIs.\n50. AI Chief of Staff - Coordinates your other agents to run the business.\n\nMaking Noise Online (Brand, Content, and Distribution):\n\n51. Hook Tester - A/B tests tweet hooks, thumbnails, and titles for engagement.\n52. Trend Watcher - Monitors niche communities for emerging topics to hijack.\n53. Podcast Booker - Finds hosts who’d feature you and drafts cold outreach.\n54. Social Proof Builder - Auto-compiles testimonials, quotes, and reviews into carousels.\n55. Comment Replyer - Posts clever, on-brand replies on high-traffic posts.\n56. Thought-Leader Ghostwriter - Drafts posts in your exact tone from short voice notes.\n57. Mini-Doc Filmmaker - Converts long interviews into short “founder journey” reels.\n58. Competitor Ad Spy - Scrapes ad libraries to surface patterns worth copying.\n59. Newsletter Curator - Collects and summarizes top industry posts in your niche.\n60. Visual-Identity Enforcer - Ensures all posts use your color palette, logo, and style.\n\nMaking the Product Smarter (User Insight + Growth Loops):\n\n61. Feature Usage Tracker - Identifies underused features and recommends UI tweaks.\n62. Referral Loop Builder - Builds and runs mini referral campaigns dynamically.\n63. Behavior Predictor - Forecasts which users are likely to upgrade or churn.\n64. 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Regulatory Impact Analysis\n\n\"What are the latest regulations affecting [industry] in [region]? 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Funding & Investment Trends\n\n\"Show me all funding rounds in [sector] from the last quarter. Include amounts, lead investors, valuations when available, and emerging patterns. Which sub-sectors are getting the most capital?\" https://t.co/mlmTmMDqn8","in_reply_to_user_id_str":"1433898842865520644","in_reply_to_status_id_str":"1986407822805115086","is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[0,232],"entities":{"hashtags":[],"media":[{"display_url":"pic.x.com/mILVNXQUwY","expanded_url":"https://x.com/bigaiguy/status/1986407971740618956/video/1","id_str":"1986407914912030722","indices":[233,256],"media_key":"13_1986407914912030722","media_url_https":"https://pbs.twimg.com/amplify_video_thumb/1986407914912030722/img/YoLZw3WV6EU2ka-c.jpg","type":"video","url":"https://t.co/mILVNXQUwY","additional_media_info":{"monetizable":false},"ext_media_availability":{"status":"Available"},"sizes":{"large":{"h":1080,"w":2032,"resize":"fit"},"medium":{"h":638,"w":1200,"resize":"fit"},"small":{"h":361,"w":680,"resize":"fit"},"thumb":{"h":150,"w":150,"resize":"crop"}},"original_info":{"height":1080,"width":2032,"focus_rects":[]},"video_info":{"aspect_ratio":[254,135],"duration_millis":13250,"variants":[{"content_type":"application/x-mpegURL","url":"https://video.twimg.com/amplify_video/1986407914912030722/pl/W0n4lnMLtnWS9ZXM.m3u8?tag=14"},{"bitrate":288000,"content_type":"video/mp4","url":"https://video.twimg.com/amplify_video/1986407914912030722/vid/avc1/508x270/aOCauirkW2ppY8MG.mp4?tag=14"},{"bitrate":832000,"content_type":"video/mp4","url":"https://video.twimg.com/amplify_video/1986407914912030722/vid/avc1/676x360/HDDxeI4e5ywG972-.mp4?tag=14"},{"bitrate":2176000,"content_type":"video/mp4","url":"https://video.twimg.com/amplify_video/1986407914912030722/vid/avc1/1354x720/fkbtL7Pj0uQFuqXm.mp4?tag=14"}]},"media_results":{"result":{"media_key":"13_1986407914912030722"}}}],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"extended_entities":{"media":[{"display_url":"pic.x.com/mILVNXQUwY","expanded_url":"https://x.com/bigaiguy/status/1986407971740618956/video/1","id_str":"1986407914912030722","indices":[233,256],"media_key":"13_1986407914912030722","media_url_https":"https://pbs.twimg.com/amplify_video_thumb/1986407914912030722/img/YoLZw3WV6EU2ka-c.jpg","type":"video","url":"https://t.co/mILVNXQUwY","additional_media_info":{"monetizable":false},"ext_media_availability":{"status":"Available"},"sizes":{"large":{"h":1080,"w":2032,"resize":"fit"},"medium":{"h":638,"w":1200,"resize":"fit"},"small":{"h":361,"w":680,"resize":"fit"},"thumb":{"h":150,"w":150,"resize":"crop"}},"original_info":{"height":1080,"width":2032,"focus_rects":[]},"video_info":{"aspect_ratio":[254,135],"duration_millis":13250,"variants":[{"content_type":"application/x-mpegURL","url":"https://video.twimg.com/amplify_video/1986407914912030722/pl/W0n4lnMLtnWS9ZXM.m3u8?tag=14"},{"bitrate":288000,"content_type":"video/mp4","url":"https://video.twimg.com/amplify_video/1986407914912030722/vid/avc1/508x270/aOCauirkW2ppY8MG.mp4?tag=14"},{"bitrate":832000,"content_type":"video/mp4","url":"https://video.twimg.com/amplify_video/1986407914912030722/vid/avc1/676x360/HDDxeI4e5ywG972-.mp4?tag=14"},{"bitrate":2176000,"content_type":"video/mp4","url":"https://video.twimg.com/amplify_video/1986407914912030722/vid/avc1/1354x720/fkbtL7Pj0uQFuqXm.mp4?tag=14"}]},"media_results":{"result":{"media_key":"13_1986407914912030722"}}}]},"favorited":false,"in_reply_to_screen_name":"bigaiguy","lang":"en","possibly_sensitive":false,"possibly_sensitive_editable":true,"retweeted":false,"fact_check":null,"id":"1986407971740618956","view_count":982,"bookmark_count":1,"created_at":1762431540000,"favorite_count":5,"quote_count":0,"reply_count":1,"retweet_count":0,"user_id_str":"1433898842865520644","conversation_id_str":"1986407588435837439","full_text":"5. Technical Benchmark Synthesis\n\n\"Compare performance benchmarks for [technology/framework] across: latency, throughput, resource usage, cost efficiency. Use data from official docs, third-party tests, and production case studies.\" https://t.co/mILVNXQUwY","in_reply_to_user_id_str":"1433898842865520644","in_reply_to_status_id_str":"1986407901838385455","is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[0,233],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"in_reply_to_screen_name":"bigaiguy","lang":"en","retweeted":false,"fact_check":null,"id":"1986407983786643909","view_count":834,"bookmark_count":3,"created_at":1762431543000,"favorite_count":6,"quote_count":0,"reply_count":1,"retweet_count":0,"user_id_str":"1433898842865520644","conversation_id_str":"1986407588435837439","full_text":"6. 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Available now.\n\nRead the paper: arxiv. org/abs/2510.01171\n\nThe AI diversity bottleneck just got solved with 8 words.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[0,276],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1979626798666203496","view_count":4885,"bookmark_count":8,"created_at":1760814783000,"favorite_count":15,"quote_count":0,"reply_count":2,"retweet_count":6,"user_id_str":"1433898842865520644","conversation_id_str":"1979626798666203496","full_text":"Every LLM project starts with big dreams and ends the same way:\n\na developer buried in authentication errors and API spaghetti 🍝\n\nYou start simple - “let’s connect Claude to GitHub.”\n\nBut then come the headaches:\n\n→ Token scopes that expire mid-call\n→ OAuth configs that break in prod\n→ Compliance teams asking for audits\n→ Logs scattered across 5 tools\n\nYou thought you were building an AI product...\n\nbut you’re actually maintaining a fragile web of integrations.\n\nIt’s not your fault.\n\nUntil now, there’s never been a clean way to make LLMs talk to your tools safely.\n\nThat’s finally changed 👇","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[0,281],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1979609858816024819","view_count":1261,"bookmark_count":16,"created_at":1760810744000,"favorite_count":7,"quote_count":0,"reply_count":2,"retweet_count":2,"user_id_str":"1433898842865520644","conversation_id_str":"1979609858816024819","full_text":"Everyone's spazzing about OpenAI Agent Builder. Here are 75 use-cases that are actually realistic for startup founders (For inspiration purposes) \n\n(And scroll for some demos)\n\nKeeping the Lights On (Ops & Admin Stuff Nobody Enjoys):\n\n1. Pitch-deck Research - Auto-pulls market data, competitor metrics, and benchmarks into your fundraising slides.\n2. Meeting-to-Milestone - Turns Zoom/Slack transcripts into Asana/Jira tasks with deadlines and owners.\n3. Contract Simplifier - Converts long legal docs into plain-English terms and flags risk areas.\n4. Cross-Tool Sync - Keeps data consistent between Notion, Airtable, and your CRM without APIs.\n5. Cashflow Forecaster - Simulates runway changes based on invoices and goals.\n6. Vendor Negotiator - Monitors SaaS subscriptions and auto-renegotiates prices or cancels underused ones.\n7. Freelancer Coordinator - Auto-onboards, briefs, and quality-checks deliverables for contractors.\n8. Async-Team Updater - Summarizes Slack + GitHub + Notion changes into daily digest emails.\n9. Regulation Watchdog - Tracks evolving compliance (GDPR, AI Act, etc.) relevant to your niche.\n10. Investor-Update Generator - Compiles metrics, visuals, and narrative into monthly investor emails.\n\nGetting People to Actually Care (Marketing & Growth):\n\n11. Micro-Content Machine - Slices long videos/podcasts into viral short-form clips and threads.\n12. Cold Email Optimizer - Runs A/B tests on intros, subject lines, and send times automatically.\n13. PR Scout - Finds journalists covering your space and drafts personalized pitches.\n14. Community Grower - Joins relevant Discords, adds value, and reports back key insights.\n15. Ad-Creative Critic - Reviews ad visuals and copy for emotion, clarity, and novelty.\n16. SEO Intelligence Tool - Tracks ranking shifts and generates keyword clusters to attack next.\n17. Influencer Matcher - Pairs your brand with micro-creators by audience fit + cost.\n18. Affiliate Partner Manager - Tracks clicks, conversions, and payouts automatically.\n19. Brand Voice Keeper - Keeps tone/style consistent across every AI-written thing you ship.\n20. Waitlist Funnel Builder - Personalizes onboarding emails and landing pages by user intent.\n\nKeeping Users Happy (and Paying):\n\n21. Refund Resolver - Negotiates win-back offers or loyalty credits automatically.\n22. Usage Drop Detector - Flags inactive users and triggers custom outreach.\n23. Feedback Summarizer - Turns thousands of reviews into product insights and sentiment charts.\n24. Onboarding Concierge - Handholds users through setup via chat or video demo.\n25. Intent Classifier - Routes support tickets by topic (sales, tech issue, cancellation risk).\n26. Community Moderator - Removes spam/toxicity while preserving humor and nuance.\n27. Demo Assistant - Runs interactive live demos tailored to each user type.\n28. Survey Insight Tool - Analyzes surveys and suggests 3 high-ROI product fixes.\n29. Live-Chat Deal Closer - Autonomously qualifies and nudges leads to convert.\n30. Help-Center Rewriter - Updates FAQs automatically based on common support tickets.\n\nBuilding the Actual Thing (Product & Engineering):\n\n31. Feature-Spec Drafter - Translates brainstorm notes into clean PRDs.\n32. Design Handoff Tool - Converts Figma → React/Vue components with documentation.\n33. Release-Note Writer - Summarizes commits into human-readable updates.\n34. Bug Triage System - Detects duplicates, assigns severity, and routes automatically.\n35. API Doc Keeper - Scans your repo and keeps API docs fresh.\n36. Dev-Cost Monitor - Tracks compute/API spend and alerts waste.\n37. Test-Data Generator - Builds realistic datasets for QA.\n38. Prompt Consistency Checker - Ensures your LLM prompts don’t drift across versions.\n39. Localization Engine - Translates UI and docs with cultural tone detection.\n40. Data-Pipeline Fixer - Identifies broken ETL jobs and repairs them autonomously.\n\nSurviving the Game (Strategy, Fundraising, and Leverage):\n\n41. Co-Founder Matcher - Finds complementary operator/technical profiles.\n42. Micro-M&A Scout - Surfaces small SaaS tools worth acquiring.\n43. Pitch Simulator - Roleplays as skeptical investors and scores your pitch.\n44. Pricing Elasticity Tool - Runs invisible A/B tests to find the ideal price point.\n45. Cap Table Tracker - Models dilution scenarios before new rounds.\n46. Grant Finder - Identifies relevant grants and drafts application materials.\n47. Talent Headhunter - Scouts contractors with niche skills across the web.\n48. Partnership Explorer - Finds other startups for collabs or cross-promotions.\n49. Acquisition Readiness Tool - Builds your data room and standardizes KPIs.\n50. AI Chief of Staff - Coordinates your other agents to run the business.\n\nMaking Noise Online (Brand, Content, and Distribution):\n\n51. Hook Tester - A/B tests tweet hooks, thumbnails, and titles for engagement.\n52. Trend Watcher - Monitors niche communities for emerging topics to hijack.\n53. Podcast Booker - Finds hosts who’d feature you and drafts cold outreach.\n54. Social Proof Builder - Auto-compiles testimonials, quotes, and reviews into carousels.\n55. Comment Replyer - Posts clever, on-brand replies on high-traffic posts.\n56. Thought-Leader Ghostwriter - Drafts posts in your exact tone from short voice notes.\n57. Mini-Doc Filmmaker - Converts long interviews into short “founder journey” reels.\n58. Competitor Ad Spy - Scrapes ad libraries to surface patterns worth copying.\n59. Newsletter Curator - Collects and summarizes top industry posts in your niche.\n60. Visual-Identity Enforcer - Ensures all posts use your color palette, logo, and style.\n\nMaking the Product Smarter (User Insight + Growth Loops):\n\n61. Feature Usage Tracker - Identifies underused features and recommends UI tweaks.\n62. Referral Loop Builder - Builds and runs mini referral campaigns dynamically.\n63. Behavior Predictor - Forecasts which users are likely to upgrade or churn.\n64. 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Regulatory Impact Analysis\n\n\"What are the latest regulations affecting [industry] in [region]? 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Funding & Investment Trends\n\n\"Show me all funding rounds in [sector] from the last quarter. Include amounts, lead investors, valuations when available, and emerging patterns. Which sub-sectors are getting the most capital?\" https://t.co/mlmTmMDqn8","in_reply_to_user_id_str":"1433898842865520644","in_reply_to_status_id_str":"1986407822805115086","is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[0,232],"entities":{"hashtags":[],"media":[{"display_url":"pic.x.com/mILVNXQUwY","expanded_url":"https://x.com/bigaiguy/status/1986407971740618956/video/1","id_str":"1986407914912030722","indices":[233,256],"media_key":"13_1986407914912030722","media_url_https":"https://pbs.twimg.com/amplify_video_thumb/1986407914912030722/img/YoLZw3WV6EU2ka-c.jpg","type":"video","url":"https://t.co/mILVNXQUwY","additional_media_info":{"monetizable":false},"ext_media_availability":{"status":"Available"},"sizes":{"large":{"h":1080,"w":2032,"resize":"fit"},"medium":{"h":638,"w":1200,"resize":"fit"},"small":{"h":361,"w":680,"resize":"fit"},"thumb":{"h":150,"w":150,"resize":"crop"}},"original_info":{"height":1080,"width":2032,"focus_rects":[]},"video_info":{"aspect_ratio":[254,135],"duration_millis":13250,"variants":[{"content_type":"application/x-mpegURL","url":"https://video.twimg.com/amplify_video/1986407914912030722/pl/W0n4lnMLtnWS9ZXM.m3u8?tag=14"},{"bitrate":288000,"content_type":"video/mp4","url":"https://video.twimg.com/amplify_video/1986407914912030722/vid/avc1/508x270/aOCauirkW2ppY8MG.mp4?tag=14"},{"bitrate":832000,"content_type":"video/mp4","url":"https://video.twimg.com/amplify_video/1986407914912030722/vid/avc1/676x360/HDDxeI4e5ywG972-.mp4?tag=14"},{"bitrate":2176000,"content_type":"video/mp4","url":"https://video.twimg.com/amplify_video/1986407914912030722/vid/avc1/1354x720/fkbtL7Pj0uQFuqXm.mp4?tag=14"}]},"media_results":{"result":{"media_key":"13_1986407914912030722"}}}],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"extended_entities":{"media":[{"display_url":"pic.x.com/mILVNXQUwY","expanded_url":"https://x.com/bigaiguy/status/1986407971740618956/video/1","id_str":"1986407914912030722","indices":[233,256],"media_key":"13_1986407914912030722","media_url_https":"https://pbs.twimg.com/amplify_video_thumb/1986407914912030722/img/YoLZw3WV6EU2ka-c.jpg","type":"video","url":"https://t.co/mILVNXQUwY","additional_media_info":{"monetizable":false},"ext_media_availability":{"status":"Available"},"sizes":{"large":{"h":1080,"w":2032,"resize":"fit"},"medium":{"h":638,"w":1200,"resize":"fit"},"small":{"h":361,"w":680,"resize":"fit"},"thumb":{"h":150,"w":150,"resize":"crop"}},"original_info":{"height":1080,"width":2032,"focus_rects":[]},"video_info":{"aspect_ratio":[254,135],"duration_millis":13250,"variants":[{"content_type":"application/x-mpegURL","url":"https://video.twimg.com/amplify_video/1986407914912030722/pl/W0n4lnMLtnWS9ZXM.m3u8?tag=14"},{"bitrate":288000,"content_type":"video/mp4","url":"https://video.twimg.com/amplify_video/1986407914912030722/vid/avc1/508x270/aOCauirkW2ppY8MG.mp4?tag=14"},{"bitrate":832000,"content_type":"video/mp4","url":"https://video.twimg.com/amplify_video/1986407914912030722/vid/avc1/676x360/HDDxeI4e5ywG972-.mp4?tag=14"},{"bitrate":2176000,"content_type":"video/mp4","url":"https://video.twimg.com/amplify_video/1986407914912030722/vid/avc1/1354x720/fkbtL7Pj0uQFuqXm.mp4?tag=14"}]},"media_results":{"result":{"media_key":"13_1986407914912030722"}}}]},"favorited":false,"in_reply_to_screen_name":"bigaiguy","lang":"en","possibly_sensitive":false,"possibly_sensitive_editable":true,"retweeted":false,"fact_check":null,"id":"1986407971740618956","view_count":982,"bookmark_count":1,"created_at":1762431540000,"favorite_count":5,"quote_count":0,"reply_count":1,"retweet_count":0,"user_id_str":"1433898842865520644","conversation_id_str":"1986407588435837439","full_text":"5. Technical Benchmark Synthesis\n\n\"Compare performance benchmarks for [technology/framework] across: latency, throughput, resource usage, cost efficiency. Use data from official docs, third-party tests, and production case studies.\" https://t.co/mILVNXQUwY","in_reply_to_user_id_str":"1433898842865520644","in_reply_to_status_id_str":"1986407901838385455","is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[0,233],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"in_reply_to_screen_name":"bigaiguy","lang":"en","retweeted":false,"fact_check":null,"id":"1986407983786643909","view_count":834,"bookmark_count":3,"created_at":1762431543000,"favorite_count":6,"quote_count":0,"reply_count":1,"retweet_count":0,"user_id_str":"1433898842865520644","conversation_id_str":"1986407588435837439","full_text":"6. 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Available now.\n\nRead the paper: arxiv. org/abs/2510.01171\n\nThe AI diversity bottleneck just got solved with 8 words.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[0,276],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1979626798666203496","view_count":4885,"bookmark_count":8,"created_at":1760814783000,"favorite_count":15,"quote_count":0,"reply_count":2,"retweet_count":6,"user_id_str":"1433898842865520644","conversation_id_str":"1979626798666203496","full_text":"Every LLM project starts with big dreams and ends the same way:\n\na developer buried in authentication errors and API spaghetti 🍝\n\nYou start simple - “let’s connect Claude to GitHub.”\n\nBut then come the headaches:\n\n→ Token scopes that expire mid-call\n→ OAuth configs that break in prod\n→ Compliance teams asking for audits\n→ Logs scattered across 5 tools\n\nYou thought you were building an AI product...\n\nbut you’re actually maintaining a fragile web of integrations.\n\nIt’s not your fault.\n\nUntil now, there’s never been a clean way to make LLMs talk to your tools safely.\n\nThat’s finally changed 👇","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[0,281],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1979609858816024819","view_count":1261,"bookmark_count":16,"created_at":1760810744000,"favorite_count":7,"quote_count":0,"reply_count":2,"retweet_count":2,"user_id_str":"1433898842865520644","conversation_id_str":"1979609858816024819","full_text":"Everyone's spazzing about OpenAI Agent Builder. Here are 75 use-cases that are actually realistic for startup founders (For inspiration purposes) \n\n(And scroll for some demos)\n\nKeeping the Lights On (Ops & Admin Stuff Nobody Enjoys):\n\n1. Pitch-deck Research - Auto-pulls market data, competitor metrics, and benchmarks into your fundraising slides.\n2. Meeting-to-Milestone - Turns Zoom/Slack transcripts into Asana/Jira tasks with deadlines and owners.\n3. Contract Simplifier - Converts long legal docs into plain-English terms and flags risk areas.\n4. Cross-Tool Sync - Keeps data consistent between Notion, Airtable, and your CRM without APIs.\n5. Cashflow Forecaster - Simulates runway changes based on invoices and goals.\n6. Vendor Negotiator - Monitors SaaS subscriptions and auto-renegotiates prices or cancels underused ones.\n7. Freelancer Coordinator - Auto-onboards, briefs, and quality-checks deliverables for contractors.\n8. Async-Team Updater - Summarizes Slack + GitHub + Notion changes into daily digest emails.\n9. Regulation Watchdog - Tracks evolving compliance (GDPR, AI Act, etc.) relevant to your niche.\n10. Investor-Update Generator - Compiles metrics, visuals, and narrative into monthly investor emails.\n\nGetting People to Actually Care (Marketing & Growth):\n\n11. Micro-Content Machine - Slices long videos/podcasts into viral short-form clips and threads.\n12. Cold Email Optimizer - Runs A/B tests on intros, subject lines, and send times automatically.\n13. PR Scout - Finds journalists covering your space and drafts personalized pitches.\n14. Community Grower - Joins relevant Discords, adds value, and reports back key insights.\n15. Ad-Creative Critic - Reviews ad visuals and copy for emotion, clarity, and novelty.\n16. SEO Intelligence Tool - Tracks ranking shifts and generates keyword clusters to attack next.\n17. Influencer Matcher - Pairs your brand with micro-creators by audience fit + cost.\n18. Affiliate Partner Manager - Tracks clicks, conversions, and payouts automatically.\n19. Brand Voice Keeper - Keeps tone/style consistent across every AI-written thing you ship.\n20. Waitlist Funnel Builder - Personalizes onboarding emails and landing pages by user intent.\n\nKeeping Users Happy (and Paying):\n\n21. Refund Resolver - Negotiates win-back offers or loyalty credits automatically.\n22. Usage Drop Detector - Flags inactive users and triggers custom outreach.\n23. Feedback Summarizer - Turns thousands of reviews into product insights and sentiment charts.\n24. Onboarding Concierge - Handholds users through setup via chat or video demo.\n25. Intent Classifier - Routes support tickets by topic (sales, tech issue, cancellation risk).\n26. Community Moderator - Removes spam/toxicity while preserving humor and nuance.\n27. Demo Assistant - Runs interactive live demos tailored to each user type.\n28. Survey Insight Tool - Analyzes surveys and suggests 3 high-ROI product fixes.\n29. Live-Chat Deal Closer - Autonomously qualifies and nudges leads to convert.\n30. Help-Center Rewriter - Updates FAQs automatically based on common support tickets.\n\nBuilding the Actual Thing (Product & Engineering):\n\n31. Feature-Spec Drafter - Translates brainstorm notes into clean PRDs.\n32. Design Handoff Tool - Converts Figma → React/Vue components with documentation.\n33. Release-Note Writer - Summarizes commits into human-readable updates.\n34. Bug Triage System - Detects duplicates, assigns severity, and routes automatically.\n35. API Doc Keeper - Scans your repo and keeps API docs fresh.\n36. Dev-Cost Monitor - Tracks compute/API spend and alerts waste.\n37. Test-Data Generator - Builds realistic datasets for QA.\n38. Prompt Consistency Checker - Ensures your LLM prompts don’t drift across versions.\n39. Localization Engine - Translates UI and docs with cultural tone detection.\n40. Data-Pipeline Fixer - Identifies broken ETL jobs and repairs them autonomously.\n\nSurviving the Game (Strategy, Fundraising, and Leverage):\n\n41. Co-Founder Matcher - Finds complementary operator/technical profiles.\n42. Micro-M&A Scout - Surfaces small SaaS tools worth acquiring.\n43. Pitch Simulator - Roleplays as skeptical investors and scores your pitch.\n44. Pricing Elasticity Tool - Runs invisible A/B tests to find the ideal price point.\n45. Cap Table Tracker - Models dilution scenarios before new rounds.\n46. Grant Finder - Identifies relevant grants and drafts application materials.\n47. Talent Headhunter - Scouts contractors with niche skills across the web.\n48. Partnership Explorer - Finds other startups for collabs or cross-promotions.\n49. Acquisition Readiness Tool - Builds your data room and standardizes KPIs.\n50. AI Chief of Staff - Coordinates your other agents to run the business.\n\nMaking Noise Online (Brand, Content, and Distribution):\n\n51. Hook Tester - A/B tests tweet hooks, thumbnails, and titles for engagement.\n52. Trend Watcher - Monitors niche communities for emerging topics to hijack.\n53. Podcast Booker - Finds hosts who’d feature you and drafts cold outreach.\n54. Social Proof Builder - Auto-compiles testimonials, quotes, and reviews into carousels.\n55. Comment Replyer - Posts clever, on-brand replies on high-traffic posts.\n56. Thought-Leader Ghostwriter - Drafts posts in your exact tone from short voice notes.\n57. Mini-Doc Filmmaker - Converts long interviews into short “founder journey” reels.\n58. Competitor Ad Spy - Scrapes ad libraries to surface patterns worth copying.\n59. Newsletter Curator - Collects and summarizes top industry posts in your niche.\n60. Visual-Identity Enforcer - Ensures all posts use your color palette, logo, and style.\n\nMaking the Product Smarter (User Insight + Growth Loops):\n\n61. Feature Usage Tracker - Identifies underused features and recommends UI tweaks.\n62. Referral Loop Builder - Builds and runs mini referral campaigns dynamically.\n63. Behavior Predictor - Forecasts which users are likely to upgrade or churn.\n64. 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Regulatory Impact Analysis\n\n\"What are the latest regulations affecting [industry] in [region]? 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Funding & Investment Trends\n\n\"Show me all funding rounds in [sector] from the last quarter. Include amounts, lead investors, valuations when available, and emerging patterns. Which sub-sectors are getting the most capital?\" https://t.co/mlmTmMDqn8","in_reply_to_user_id_str":"1433898842865520644","in_reply_to_status_id_str":"1986407822805115086","is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[0,232],"entities":{"hashtags":[],"media":[{"display_url":"pic.x.com/mILVNXQUwY","expanded_url":"https://x.com/bigaiguy/status/1986407971740618956/video/1","id_str":"1986407914912030722","indices":[233,256],"media_key":"13_1986407914912030722","media_url_https":"https://pbs.twimg.com/amplify_video_thumb/1986407914912030722/img/YoLZw3WV6EU2ka-c.jpg","type":"video","url":"https://t.co/mILVNXQUwY","additional_media_info":{"monetizable":false},"ext_media_availability":{"status":"Available"},"sizes":{"large":{"h":1080,"w":2032,"resize":"fit"},"medium":{"h":638,"w":1200,"resize":"fit"},"small":{"h":361,"w":680,"resize":"fit"},"thumb":{"h":150,"w":150,"resize":"crop"}},"original_info":{"height":1080,"width":2032,"focus_rects":[]},"video_info":{"aspect_ratio":[254,135],"duration_millis":13250,"variants":[{"content_type":"application/x-mpegURL","url":"https://video.twimg.com/amplify_video/1986407914912030722/pl/W0n4lnMLtnWS9ZXM.m3u8?tag=14"},{"bitrate":288000,"content_type":"video/mp4","url":"https://video.twimg.com/amplify_video/1986407914912030722/vid/avc1/508x270/aOCauirkW2ppY8MG.mp4?tag=14"},{"bitrate":832000,"content_type":"video/mp4","url":"https://video.twimg.com/amplify_video/1986407914912030722/vid/avc1/676x360/HDDxeI4e5ywG972-.mp4?tag=14"},{"bitrate":2176000,"content_type":"video/mp4","url":"https://video.twimg.com/amplify_video/1986407914912030722/vid/avc1/1354x720/fkbtL7Pj0uQFuqXm.mp4?tag=14"}]},"media_results":{"result":{"media_key":"13_1986407914912030722"}}}],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"extended_entities":{"media":[{"display_url":"pic.x.com/mILVNXQUwY","expanded_url":"https://x.com/bigaiguy/status/1986407971740618956/video/1","id_str":"1986407914912030722","indices":[233,256],"media_key":"13_1986407914912030722","media_url_https":"https://pbs.twimg.com/amplify_video_thumb/1986407914912030722/img/YoLZw3WV6EU2ka-c.jpg","type":"video","url":"https://t.co/mILVNXQUwY","additional_media_info":{"monetizable":false},"ext_media_availability":{"status":"Available"},"sizes":{"large":{"h":1080,"w":2032,"resize":"fit"},"medium":{"h":638,"w":1200,"resize":"fit"},"small":{"h":361,"w":680,"resize":"fit"},"thumb":{"h":150,"w":150,"resize":"crop"}},"original_info":{"height":1080,"width":2032,"focus_rects":[]},"video_info":{"aspect_ratio":[254,135],"duration_millis":13250,"variants":[{"content_type":"application/x-mpegURL","url":"https://video.twimg.com/amplify_video/1986407914912030722/pl/W0n4lnMLtnWS9ZXM.m3u8?tag=14"},{"bitrate":288000,"content_type":"video/mp4","url":"https://video.twimg.com/amplify_video/1986407914912030722/vid/avc1/508x270/aOCauirkW2ppY8MG.mp4?tag=14"},{"bitrate":832000,"content_type":"video/mp4","url":"https://video.twimg.com/amplify_video/1986407914912030722/vid/avc1/676x360/HDDxeI4e5ywG972-.mp4?tag=14"},{"bitrate":2176000,"content_type":"video/mp4","url":"https://video.twimg.com/amplify_video/1986407914912030722/vid/avc1/1354x720/fkbtL7Pj0uQFuqXm.mp4?tag=14"}]},"media_results":{"result":{"media_key":"13_1986407914912030722"}}}]},"favorited":false,"in_reply_to_screen_name":"bigaiguy","lang":"en","possibly_sensitive":false,"possibly_sensitive_editable":true,"retweeted":false,"fact_check":null,"id":"1986407971740618956","view_count":982,"bookmark_count":1,"created_at":1762431540000,"favorite_count":5,"quote_count":0,"reply_count":1,"retweet_count":0,"user_id_str":"1433898842865520644","conversation_id_str":"1986407588435837439","full_text":"5. Technical Benchmark Synthesis\n\n\"Compare performance benchmarks for [technology/framework] across: latency, throughput, resource usage, cost efficiency. Use data from official docs, third-party tests, and production case studies.\" https://t.co/mILVNXQUwY","in_reply_to_user_id_str":"1433898842865520644","in_reply_to_status_id_str":"1986407901838385455","is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[0,233],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"in_reply_to_screen_name":"bigaiguy","lang":"en","retweeted":false,"fact_check":null,"id":"1986407983786643909","view_count":834,"bookmark_count":3,"created_at":1762431543000,"favorite_count":6,"quote_count":0,"reply_count":1,"retweet_count":0,"user_id_str":"1433898842865520644","conversation_id_str":"1986407588435837439","full_text":"6. 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Available now.\n\nRead the paper: arxiv. org/abs/2510.01171\n\nThe AI diversity bottleneck just got solved with 8 words.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[0,276],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1979626798666203496","view_count":4885,"bookmark_count":8,"created_at":1760814783000,"favorite_count":15,"quote_count":0,"reply_count":2,"retweet_count":6,"user_id_str":"1433898842865520644","conversation_id_str":"1979626798666203496","full_text":"Every LLM project starts with big dreams and ends the same way:\n\na developer buried in authentication errors and API spaghetti 🍝\n\nYou start simple - “let’s connect Claude to GitHub.”\n\nBut then come the headaches:\n\n→ Token scopes that expire mid-call\n→ OAuth configs that break in prod\n→ Compliance teams asking for audits\n→ Logs scattered across 5 tools\n\nYou thought you were building an AI product...\n\nbut you’re actually maintaining a fragile web of integrations.\n\nIt’s not your fault.\n\nUntil now, there’s never been a clean way to make LLMs talk to your tools safely.\n\nThat’s finally changed 👇","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[0,281],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1979609858816024819","view_count":1261,"bookmark_count":16,"created_at":1760810744000,"favorite_count":7,"quote_count":0,"reply_count":2,"retweet_count":2,"user_id_str":"1433898842865520644","conversation_id_str":"1979609858816024819","full_text":"Everyone's spazzing about OpenAI Agent Builder. Here are 75 use-cases that are actually realistic for startup founders (For inspiration purposes) \n\n(And scroll for some demos)\n\nKeeping the Lights On (Ops & Admin Stuff Nobody Enjoys):\n\n1. Pitch-deck Research - Auto-pulls market data, competitor metrics, and benchmarks into your fundraising slides.\n2. Meeting-to-Milestone - Turns Zoom/Slack transcripts into Asana/Jira tasks with deadlines and owners.\n3. Contract Simplifier - Converts long legal docs into plain-English terms and flags risk areas.\n4. Cross-Tool Sync - Keeps data consistent between Notion, Airtable, and your CRM without APIs.\n5. Cashflow Forecaster - Simulates runway changes based on invoices and goals.\n6. Vendor Negotiator - Monitors SaaS subscriptions and auto-renegotiates prices or cancels underused ones.\n7. Freelancer Coordinator - Auto-onboards, briefs, and quality-checks deliverables for contractors.\n8. Async-Team Updater - Summarizes Slack + GitHub + Notion changes into daily digest emails.\n9. Regulation Watchdog - Tracks evolving compliance (GDPR, AI Act, etc.) relevant to your niche.\n10. Investor-Update Generator - Compiles metrics, visuals, and narrative into monthly investor emails.\n\nGetting People to Actually Care (Marketing & Growth):\n\n11. Micro-Content Machine - Slices long videos/podcasts into viral short-form clips and threads.\n12. Cold Email Optimizer - Runs A/B tests on intros, subject lines, and send times automatically.\n13. PR Scout - Finds journalists covering your space and drafts personalized pitches.\n14. Community Grower - Joins relevant Discords, adds value, and reports back key insights.\n15. Ad-Creative Critic - Reviews ad visuals and copy for emotion, clarity, and novelty.\n16. SEO Intelligence Tool - Tracks ranking shifts and generates keyword clusters to attack next.\n17. Influencer Matcher - Pairs your brand with micro-creators by audience fit + cost.\n18. Affiliate Partner Manager - Tracks clicks, conversions, and payouts automatically.\n19. Brand Voice Keeper - Keeps tone/style consistent across every AI-written thing you ship.\n20. Waitlist Funnel Builder - Personalizes onboarding emails and landing pages by user intent.\n\nKeeping Users Happy (and Paying):\n\n21. Refund Resolver - Negotiates win-back offers or loyalty credits automatically.\n22. Usage Drop Detector - Flags inactive users and triggers custom outreach.\n23. Feedback Summarizer - Turns thousands of reviews into product insights and sentiment charts.\n24. Onboarding Concierge - Handholds users through setup via chat or video demo.\n25. Intent Classifier - Routes support tickets by topic (sales, tech issue, cancellation risk).\n26. Community Moderator - Removes spam/toxicity while preserving humor and nuance.\n27. Demo Assistant - Runs interactive live demos tailored to each user type.\n28. Survey Insight Tool - Analyzes surveys and suggests 3 high-ROI product fixes.\n29. Live-Chat Deal Closer - Autonomously qualifies and nudges leads to convert.\n30. Help-Center Rewriter - Updates FAQs automatically based on common support tickets.\n\nBuilding the Actual Thing (Product & Engineering):\n\n31. Feature-Spec Drafter - Translates brainstorm notes into clean PRDs.\n32. Design Handoff Tool - Converts Figma → React/Vue components with documentation.\n33. Release-Note Writer - Summarizes commits into human-readable updates.\n34. Bug Triage System - Detects duplicates, assigns severity, and routes automatically.\n35. API Doc Keeper - Scans your repo and keeps API docs fresh.\n36. Dev-Cost Monitor - Tracks compute/API spend and alerts waste.\n37. Test-Data Generator - Builds realistic datasets for QA.\n38. Prompt Consistency Checker - Ensures your LLM prompts don’t drift across versions.\n39. Localization Engine - Translates UI and docs with cultural tone detection.\n40. Data-Pipeline Fixer - Identifies broken ETL jobs and repairs them autonomously.\n\nSurviving the Game (Strategy, Fundraising, and Leverage):\n\n41. Co-Founder Matcher - Finds complementary operator/technical profiles.\n42. Micro-M&A Scout - Surfaces small SaaS tools worth acquiring.\n43. Pitch Simulator - Roleplays as skeptical investors and scores your pitch.\n44. Pricing Elasticity Tool - Runs invisible A/B tests to find the ideal price point.\n45. Cap Table Tracker - Models dilution scenarios before new rounds.\n46. Grant Finder - Identifies relevant grants and drafts application materials.\n47. Talent Headhunter - Scouts contractors with niche skills across the web.\n48. Partnership Explorer - Finds other startups for collabs or cross-promotions.\n49. Acquisition Readiness Tool - Builds your data room and standardizes KPIs.\n50. AI Chief of Staff - Coordinates your other agents to run the business.\n\nMaking Noise Online (Brand, Content, and Distribution):\n\n51. Hook Tester - A/B tests tweet hooks, thumbnails, and titles for engagement.\n52. Trend Watcher - Monitors niche communities for emerging topics to hijack.\n53. Podcast Booker - Finds hosts who’d feature you and drafts cold outreach.\n54. Social Proof Builder - Auto-compiles testimonials, quotes, and reviews into carousels.\n55. Comment Replyer - Posts clever, on-brand replies on high-traffic posts.\n56. Thought-Leader Ghostwriter - Drafts posts in your exact tone from short voice notes.\n57. Mini-Doc Filmmaker - Converts long interviews into short “founder journey” reels.\n58. Competitor Ad Spy - Scrapes ad libraries to surface patterns worth copying.\n59. Newsletter Curator - Collects and summarizes top industry posts in your niche.\n60. Visual-Identity Enforcer - Ensures all posts use your color palette, logo, and style.\n\nMaking the Product Smarter (User Insight + Growth Loops):\n\n61. Feature Usage Tracker - Identifies underused features and recommends UI tweaks.\n62. Referral Loop Builder - Builds and runs mini referral campaigns dynamically.\n63. Behavior Predictor - Forecasts which users are likely to upgrade or churn.\n64. Persona Generator - Turns user data into living, evolving personas.\n65. Dynamic Pricing System - Adjusts subscription pricing based on demand or seasonality.\n66. Community Ambassador Recruiter - Finds your top users and recruits them for advocacy.\n67. Lifetime-Value Tracker - Calculates LTV/CAC automatically and benchmarks it.\n68. Retention Playbook Builder - Watches user behavior and triggers personalized win-backs.\n69. Trial-to-Paid Optimizer - Tests onboarding flows and recommends improvements.\n70. Gamification Designer - Creates reward loops or point systems for user retention.\n\nBig-Brain Founder Stuff (Thinking, Learning, and Vision):\n\n71. Reading Synthesizer - Summarizes research papers or essays into insights relevant to your product.\n72. Idea Validator - Runs small-scale surveys + search data to test demand.\n73. Competitor Thesis Tracker - Keeps tabs on how rival founders talk about their vision.\n74. 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Regulatory Impact Analysis\n\n\"What are the latest regulations affecting [industry] in [region]? 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Funding & Investment Trends\n\n\"Show me all funding rounds in [sector] from the last quarter. Include amounts, lead investors, valuations when available, and emerging patterns. Which sub-sectors are getting the most capital?\" https://t.co/mlmTmMDqn8","in_reply_to_user_id_str":"1433898842865520644","in_reply_to_status_id_str":"1986407822805115086","is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[0,232],"entities":{"hashtags":[],"media":[{"display_url":"pic.x.com/mILVNXQUwY","expanded_url":"https://x.com/bigaiguy/status/1986407971740618956/video/1","id_str":"1986407914912030722","indices":[233,256],"media_key":"13_1986407914912030722","media_url_https":"https://pbs.twimg.com/amplify_video_thumb/1986407914912030722/img/YoLZw3WV6EU2ka-c.jpg","type":"video","url":"https://t.co/mILVNXQUwY","additional_media_info":{"monetizable":false},"ext_media_availability":{"status":"Available"},"sizes":{"large":{"h":1080,"w":2032,"resize":"fit"},"medium":{"h":638,"w":1200,"resize":"fit"},"small":{"h":361,"w":680,"resize":"fit"},"thumb":{"h":150,"w":150,"resize":"crop"}},"original_info":{"height":1080,"width":2032,"focus_rects":[]},"video_info":{"aspect_ratio":[254,135],"duration_millis":13250,"variants":[{"content_type":"application/x-mpegURL","url":"https://video.twimg.com/amplify_video/1986407914912030722/pl/W0n4lnMLtnWS9ZXM.m3u8?tag=14"},{"bitrate":288000,"content_type":"video/mp4","url":"https://video.twimg.com/amplify_video/1986407914912030722/vid/avc1/508x270/aOCauirkW2ppY8MG.mp4?tag=14"},{"bitrate":832000,"content_type":"video/mp4","url":"https://video.twimg.com/amplify_video/1986407914912030722/vid/avc1/676x360/HDDxeI4e5ywG972-.mp4?tag=14"},{"bitrate":2176000,"content_type":"video/mp4","url":"https://video.twimg.com/amplify_video/1986407914912030722/vid/avc1/1354x720/fkbtL7Pj0uQFuqXm.mp4?tag=14"}]},"media_results":{"result":{"media_key":"13_1986407914912030722"}}}],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"extended_entities":{"media":[{"display_url":"pic.x.com/mILVNXQUwY","expanded_url":"https://x.com/bigaiguy/status/1986407971740618956/video/1","id_str":"1986407914912030722","indices":[233,256],"media_key":"13_1986407914912030722","media_url_https":"https://pbs.twimg.com/amplify_video_thumb/1986407914912030722/img/YoLZw3WV6EU2ka-c.jpg","type":"video","url":"https://t.co/mILVNXQUwY","additional_media_info":{"monetizable":false},"ext_media_availability":{"status":"Available"},"sizes":{"large":{"h":1080,"w":2032,"resize":"fit"},"medium":{"h":638,"w":1200,"resize":"fit"},"small":{"h":361,"w":680,"resize":"fit"},"thumb":{"h":150,"w":150,"resize":"crop"}},"original_info":{"height":1080,"width":2032,"focus_rects":[]},"video_info":{"aspect_ratio":[254,135],"duration_millis":13250,"variants":[{"content_type":"application/x-mpegURL","url":"https://video.twimg.com/amplify_video/1986407914912030722/pl/W0n4lnMLtnWS9ZXM.m3u8?tag=14"},{"bitrate":288000,"content_type":"video/mp4","url":"https://video.twimg.com/amplify_video/1986407914912030722/vid/avc1/508x270/aOCauirkW2ppY8MG.mp4?tag=14"},{"bitrate":832000,"content_type":"video/mp4","url":"https://video.twimg.com/amplify_video/1986407914912030722/vid/avc1/676x360/HDDxeI4e5ywG972-.mp4?tag=14"},{"bitrate":2176000,"content_type":"video/mp4","url":"https://video.twimg.com/amplify_video/1986407914912030722/vid/avc1/1354x720/fkbtL7Pj0uQFuqXm.mp4?tag=14"}]},"media_results":{"result":{"media_key":"13_1986407914912030722"}}}]},"favorited":false,"in_reply_to_screen_name":"bigaiguy","lang":"en","possibly_sensitive":false,"possibly_sensitive_editable":true,"retweeted":false,"fact_check":null,"id":"1986407971740618956","view_count":982,"bookmark_count":1,"created_at":1762431540000,"favorite_count":5,"quote_count":0,"reply_count":1,"retweet_count":0,"user_id_str":"1433898842865520644","conversation_id_str":"1986407588435837439","full_text":"5. Technical Benchmark Synthesis\n\n\"Compare performance benchmarks for [technology/framework] across: latency, throughput, resource usage, cost efficiency. Use data from official docs, third-party tests, and production case studies.\" https://t.co/mILVNXQUwY","in_reply_to_user_id_str":"1433898842865520644","in_reply_to_status_id_str":"1986407901838385455","is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[0,233],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"in_reply_to_screen_name":"bigaiguy","lang":"en","retweeted":false,"fact_check":null,"id":"1986407983786643909","view_count":834,"bookmark_count":3,"created_at":1762431543000,"favorite_count":6,"quote_count":0,"reply_count":1,"retweet_count":0,"user_id_str":"1433898842865520644","conversation_id_str":"1986407588435837439","full_text":"6. 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