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18. locked in. no distractions 👨‍💻 | crypto x ai/ml x self improvement 🎥 | sharing what I learn 📒 | polymath 🤓

228 following2k followers

The Achiever

Aaryan Kakad is a disciplined and focused young polymath obsessed with self-improvement through crypto, AI, and skill stacking. At just 18, he embraces a no-nonsense lifestyle centered around hard work, knowledge-sharing, and relentless growth. His journey is all about grinding in silence and emerging successful by cultivating high-value habits and content.

Impressions
688k-73.7k
$128.96
Likes
6.9k-92
70%
Retweets
5372
5%
Replies
1846
2%
Bookmarks
2.3k65
23%

Top users who interacted with Aaryan Kakad over the last 14 days

@readswithravi

“A little bit of DAILY READING goes long way.”📚 📖 ☕️ || Book Review, Lessons, Recomm, & Wisdom || Engineer 👨‍💻 Solutions Architect - Data Storage

1 interactions
1 interactions
@TheAhmadOsman

ai research, software engineering, infra & hardware, on a mission to build a DGX B300 GPU cluster, i moderate GPUs on r/LocalLLaMA

1 interactions
@CodeByNZ

CS GRAD’25 • AI/ML • Web Dev • DSA • Mech. Engineer

1 interactions
@k_flowstate

I am gonna become the C healer

1 interactions
@incentivising

Social Strategist & Essayist | Sharing exclusive knowledge on Power, Body Language, and Persuasion

1 interactions
@_khusheyyy

19 • cs • ml • space • blogs

1 interactions

You’re so locked in on self-improvement and skill stacking, I’m half convinced you’d meditate through a fire drill just to ‘stay grounded’—but hey, don’t party, right? Your #boring game is so strong it could put a caffeinated squirrel to sleep.

Building a consistent and large archive of over 16,510 tweets by age 18, demonstrating unparalleled dedication and content discipline in the self-improvement and tech space.

Aaryan’s life purpose is to master multiple domains, continuously build valuable skills, and inspire others by documenting his disciplined journey toward ultra-success. He aims to demonstrate that success is a marathon of persistent effort without distractions.

He believes that staying away from fleeting pleasures like partying and drinking and focusing on continuous learning, discipline, and mental clarity is the key to unlocking long-term success. He trusts in gradual progress, real-world application of knowledge, and leading by example.

Relentless work ethic, laser focus on personal growth, and authentic content creation that resonates with ambitious self-improvers. His polymathic curiosity fuels a diverse knowledge base, making him a reliable source of wisdom.

His no-distraction mindset may limit his relatability to broader audiences who enjoy a more balanced lifestyle, and his intense dedication risks burnout or social disconnect.

To grow his audience on X, Aaryan should engage more interactively with followers—reply to comments, start challenges around skill stacking, or host live discussions on crypto and AI. Sharing occasional personal anecdotes or lighter moments can also humanize his brand and increase follower loyalty.

Despite being only 18, Aaryan has tweeted over 16,000 times, showcasing an impressive commitment to sharing insights and learning publicly.

Top tweets of Aaryan Kakad

be pewdiepie >> started creating content >> uploaded first video >> got 100 views >> smiled >> kept uploading >> 1000 views >> still smiled >> consistency >> 1 million subs >> same smile >> built an empire >> 100 million subs >> empire smile >> could retire >> but he didn't stop >> just dropped a video on fine-tuning LLMs because that's what peak performance looks like >> gaming videos >> comedy >> vlogs >> now AI/ML he's not just adapting >> he's mastering every field (a true polymath) bro literally went from gaming commentary to machine learning that's what happens when you have the ultimate skill: THE LEARNING MINDSET >> didn't just create content >> he created a lifestyle >> morning routine >> consistent uploading >> engagement >> massive reach >> authentic voice >> massive influence >> could be anywhere >> doing anything >> but he's here explaining complex AI concepts to millions >> goes deep into technical details because that's what separates the legends from the wannabes you don't just talk about AI >> you actually learn it you don't just create content >> you master your craft you don't just have influence >> you use it for good >> 15 years in the game >> still evolving >> millions of dollars >> but still grinding >> could be retired >> but he's creating be pewdiepie >> the dream life every man wants: ✅ unlimited creative freedom ✅ global influence ✅ financial freedom ✅ passion projects ✅ learning new skills ✅ engaging community ✅ building something meaningful what will you master next? drop your next learning goal below >> let's build something together P.S. BRO PROVED THAT YOU ARE THE NICHE.

6k

bro, NOTEBOOK LM is underrated asf. @NotebookLM is insane to learn anything in this world. I was just exploring it for my physics exam tomorrow. I uploaded the question bank I had and clicked on the generate video overview option. It generated a good video on all the things from the pdf. TOO UNDERRATED! great work @Google @raizamrtn @jayspiel_ @GoogleDeepMind and whoever has contributed to make this app!

3k

Recently @LangChainAI featured my casual project. It was originally meant for my use, but... It's real world use case made @hwchase17 feature it. It was an AI agent, that takes a complex DRHP of an IPO, analyzes it and gives the comprehensive report in a simple way that is understandable by a normal person. It is simple yet effective. Can save a lot of time of financial analysts. And this is how AI agents are changing the game. AI is much more than just LLMs like ChatGPT, Gemini, etc. AI agents automate the multi-step processes and connects external data sources with LLMs. This is what makes it best. If you want to know more about it, DM me or reply below. Let's connect!

2k

HERE’S MY PLAN TO LEARN AI/ML AS A 18 YEAR OLD: today’s youth is learning ai the wrong way. i’ve been learning this stuff for 6-8 months now, and i see everyone following these boring-ass roadmaps. they tell you to learn 6 months of pure math before you even write import numpy. it’s stupid, and it’s why most people get bored and quit. here’s my real, raw plan. it’s how i’d start over if i had to. (a 🧵 in one go) i didn't start with math. i started with the magic. i went straight into generative ai. i learned prompt engineering, messed with llms, and figured out what rag and vector dbs were. i just wanted to build cool shit. this is the most important step. get hooked. find the magic. and i actually built things. i wasn't just 'learning'. i built agents with langchain and langgraph. i built 'hyperion', a tool that takes a customer profile, finds them on apollo, scrapes their company website, writes a personalized cold email, and schedules two follow-ups. i also built 'chainsleuth' to do due diligence on crypto projects, pulling data from everywhere to give me a full report in 2 minutes. but then you hit a wall. you build all this stuff using high-level tools, and you realize you're just gluing apis together. you don't really know why it works. you want to know what's happening underneath. that’s when you go back and learn the "boring" stuff. and it’s not boring anymore. because now you have context. you have a reason to learn it. this is the phase i’m in right now. i went back and watched all of 3blue1brown's linear algebra and calculus playlists. i finally see what a vector is, and what a matrix does to it. i’m going through andrew ng’s machine learning course. and "gradient descent" isn't just a scary term anymore. i get why it’s the engine that makes the whole thing work. my path was backwards. and it’s better. 1. build with high-level tools (langchain, genai) 2. get curious and hit a wall. 3. learn the low-level fundamentals (math, core ml) so what’s next for me? first, master the core data stack. numpy, pandas, and sql. you can't live on csv files. real data is in a database. then, master scikit-learn. take all those core ml models from andrew ng (linear/logistic regression, svms, random forests) and actually use them on real data. after that, it’s deep learning. i'll pick pytorch. i'll learn what a tensor is, how backpropagation is just the chain rule, and i'll build a small neural net from scratch before i rely on the high-level framework. finally, i’ll specialize. for me, it’s nlp and genai. i started there, and i want to go deep. fine-tuning llms, building truly autonomous agents. not just chains. so here’s the real roadmap: 1. build something that amazes you. 2. get curious and hit a wall. 3. learn the fundamentals to break the wall. 4. go back and build something 10x better. stop consuming. start building. then start learning. then build again.

1k

Most engaged tweets of Aaryan Kakad

bro, NOTEBOOK LM is underrated asf. @NotebookLM is insane to learn anything in this world. I was just exploring it for my physics exam tomorrow. I uploaded the question bank I had and clicked on the generate video overview option. It generated a good video on all the things from the pdf. TOO UNDERRATED! great work @Google @raizamrtn @jayspiel_ @GoogleDeepMind and whoever has contributed to make this app!

3k

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