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I am building a new VC firm @motiveforcevc backing bold founders building beautiful software.

1k following4k followers

The Entrepreneur

Oana Olteanu is a bold venture capitalist building a new firm focused on backing innovative software founders. With a sharp eye for cutting-edge AI developments and a candid voice on Silicon Valley culture, she blends insight with influence. Her engaging and thoughtful posts reflect a deep commitment to the startup ecosystem and mental wellness in tech.

Impressions
111.2k-2.6k
$20.85
Likes
1k-48
75%
Retweets
22-1
1%
Replies
115-3
8%
Bookmarks
233-4
16%

Top users who interacted with Oana Olteanu over the last 14 days

@jimmykoppel

Making every Claude Code user a 100x developer @ccdotdev. Making good engineers great at mirdin.com . Ph. D. in PL from @MIT. @thielfellowship 2012

1 interactions
@martin_casado

GP @ a16z ... questionable heuristics in a grossly underdetermined world

1 interactions

Oana tweets like she owns half of Silicon Valley but still follows the same number of accounts as a high schooler does Instagram influencers—guess even bold VCs like a good follow-back spree.

Successfully launching Motive Force VC as a platform to back bold software founders, while consistently fostering open conversations about mental health challenges within the tech community.

To empower bold founders and drive innovation by investing in transformative software ventures, while advocating for healthier tech culture and mental well-being.

She values boldness, innovation, transparency, and mental health awareness in the high-pressure world of startups and tech. She believes success should not come at the cost of personal well-being and grounds herself in community and balance.

Oana’s strengths lie in her entrepreneurial drive, deep industry knowledge, and ability to candidly address both the highs and lows of startup culture. She is well-networked and influential, especially in AI and early-stage investment conversations.

Her intense focus and frequent tweeting might overwhelm some followers or dilute her messaging. Also, publicly critiquing junior VCs could alienate potential allies or partners.

To grow her audience on X, Oana should balance her deep-dive technical posts with more personal storytelling and interactive polls or Q&As to boost engagement. Highlighting founder success stories and actionable advice will cement her thought leadership while building a more emotionally connected community.

Oana tweets over 12,800 times and follows over 1,000 accounts, showing her active and connected presence. She openly discusses difficult topics like Silicon Valley's mental health struggles, breaking the usual VC silence.

Top tweets of Oana Olteanu

One of the AI researchers whose blogs I read, Felix Hill, has committed suicide. RIP 😢 He left a note which should be an alarm signal - the dark side of Silicon Valley culture. Read it and you’ll have at least 5 friends that come to mind when you read it based on his description of his life circumstances that tragically led to his loss. The insatiated need for success, the peer pressure, following cult tech bros and the dugs they get to be more productive, being too easily prescribed anti-depressants and the overall stress of building in AI now. From the suicide note, linked below: ā€œSo I doubled down on ambition, at the cost of looking out for my loved ones. Sometimes, moving forward in my career felt like a life-and-death issue, like I would drown if I didn’t keep going; that I had to succeed to survive.ā€ ā€œAnd so I became increasingly curious about Silicon Valley stories of drugs that reduce anxiety and improve focus, as well as remove the need for alcohol as a means to switch off.ā€ ā€œI started to take Ketamine (Elon Musk’s choice), because it was the easiest of the psychoactive drugs to get, and because it felt ā€˜safer’ to me than something like LSD or psylocybin.ā€ If you feel like you’re getting close, reach out to friends or people you know, or call the crisis line. Silicon Valley is a wonderful place but can also catch one in its dark side and can consume one. What helps me is to go back to my small village in Romania where nobody knows or cares to know who Sam Altman is. Find your grounding place. In the chase for money and success, it’s easy to lose track of what fully matters - health and family.

47k

Open Source AI repos that caught my šŸ‘€ this week @MetaGPT_ github.com/geekan/MetaGPT - multi agent collaboration - MetaGPT encodes Standard Operating Procedures (SOPs) into prompts. The claim is that it takes a one line requirement as input and outputs user stories / competitive analysis / requirements / data structures / APIs / documents, etc. @Ollama_ai github.com/jmorganca/olla… - run large language models locally. The future of AI/LLMs may not be on the cloud, but on your own laptops/mobiles. ollama.ai/blog/building-… @huggingface github.com/huggingface/ca… - slick ML framework for Rust with a focus on performance (including GPU support) @remilouf github.com/outlines-dev/o… - helps developers guide text generation to build robust interfaces with external systems. Provides generation methods that guarantee that the output will match a regular expressions, or follow a JSON schema. github.com/YiVal/YiVal enterprise AI platform

50k

Yesterday I volunteered at @aiDotEngineer and I'm sharing my AI learnings in this blogpost below. Tell me which one you find most interesting and I'll write a deep dive for you. Key topics 1. Engineering Process Is the New Product Moat 2. Quality Economics Haven’t Changed—Only the Tooling 3. Four Moving Frontiers in the LLM Stack 4. Efficiency Gains vs Run-Time Demand 5. How Builders Are Customising Models (Survey Data) 6. Autonomy ≠ Replacement — Lessons From Claude-at-Work 7. Jevons Paradox Hits AI Compute 8. Evals Are the New CI/CD — andĀ FeelĀ Wrong at First 9. Semantic Layers — Context Is the True Compute 10. Strategic Implications for Investors, LPs & Founders Thx @swyx

12k

This t-shirt is from 1982. The lessons are for 2025. Guide Harry through a treacherous jungle maze. He must leap over obstacles and dodge deadly dangers, while grabbing all the treasure he can reach! I’m wearing Pitfall!, one of the earliest iconic video games. Was made by @PitfallCreator, a programmer who worked for Activision in the early 1980s. It is the second best-selling game made for the @atari 2600 (after Pac-Man), with over 4 million copies sold. Behind the image was serious craftsmanship. Activision president Jim Levy treated games — and their packaging — like music albums , insisting on high production values. Every element was chosen to tell the jungle-exploration story. This philosophy extended to giving creators pride of ownership. Activision was unusual in emblazoning the designer’s name (and even photo) on each box, treating every title as an ā€œindividual piece of artā€ . But what most people miss is that it wasn’t just a game — it was beautiful software. Well-architected: the world was procedurally generated in just 4KB of memory — a marvel of thoughtful design. Easy to adopt: no manual needed to understand what to do — run, jump, swing, survive. Visually distinct: the color palette, the layout, even the packaging felt cohesive and honest. Crafted end-to-end: Activision credited their designers on the box and treated the whole product — from code to cover — like a work of art. That sense of authorship and storytelling made the game (and its art) more than pixels and ink; it became an iconic narrative. More than 35 years later, seeing Pitfall’s art or a retro shirt reminds us that great product design (software or otherwise) blends utility with story and craft. I think a lot about this when I meet AI founders. In an era of agentic systems, ML pipelines, and frontier foundation models, it’s easy to chase temporary power over clarity. But the AI products that will endure are the ones that make people feel something: trust, wonder, ease, delight. They are well-architected. Well-designed. Easy to adopt. That’s what I look for when I invest — founders who treat software not just as output, but as craft. The ones who care about the emotional signature of their product. Who build with taste, not just brute force. Who sweat the small stuff — because they know the small stuff compounds. If that’s you, we’ll probably get along. Reach out, would love to see what you’re building. What was your favorite Atari game?

9k

ā€œI made more progress in 2 weeks since I’ve been in SF than in many months in Londonā€ Spoke with a dev tools OSS founder from Europe who just started to raise He was shocked to find out out that our IC meeting doesn’t happen just once a quarter as some do in Europe šŸ˜… I see this all over again with European founders in dev tools: - they start skeptical of SF, mostly because they read in the news about the dark side of the valley and they also believe you can build something from anywhere. You can but for GTM you need US presence too if you’re in dev tools - then they experience the Bay Area and they realize everything moves faster here. You get in a Uber after an event and meet an angel investor and have a conversation in the lobby for two hours and the next day you are introduced to other amazing people who give you feedback and intros, all quickly - you are on the doorsteps of customers here. Deals just move faster, you can meet your users in person European founders start skeptical of SF and then they realize being in Europe is like having a heavy wind blow in your face, and in SF it’s like having the wind go with you, push you forward. If you’re building in devops in Europe and want to make it to SF, reach out, half of my portfolio now is European OSS founders, I’m happy to share the learnings and help as a bridge, as a European myself. Also, happy to connect you to the European ecosystem in the valley, we exist.

8k

Celebrating my friends at @FAL @burkaygur @gorkemyurt with their favorite candy. Congrats on the $100m arr and the unicorn status šŸ„³šŸŽ‰ In awe of that they built! tebrikler arkadaşlar! @ engineers, they are hiring -> go to their career page

2k

Most engaged tweets of Oana Olteanu

One of the AI researchers whose blogs I read, Felix Hill, has committed suicide. RIP 😢 He left a note which should be an alarm signal - the dark side of Silicon Valley culture. Read it and you’ll have at least 5 friends that come to mind when you read it based on his description of his life circumstances that tragically led to his loss. The insatiated need for success, the peer pressure, following cult tech bros and the dugs they get to be more productive, being too easily prescribed anti-depressants and the overall stress of building in AI now. From the suicide note, linked below: ā€œSo I doubled down on ambition, at the cost of looking out for my loved ones. Sometimes, moving forward in my career felt like a life-and-death issue, like I would drown if I didn’t keep going; that I had to succeed to survive.ā€ ā€œAnd so I became increasingly curious about Silicon Valley stories of drugs that reduce anxiety and improve focus, as well as remove the need for alcohol as a means to switch off.ā€ ā€œI started to take Ketamine (Elon Musk’s choice), because it was the easiest of the psychoactive drugs to get, and because it felt ā€˜safer’ to me than something like LSD or psylocybin.ā€ If you feel like you’re getting close, reach out to friends or people you know, or call the crisis line. Silicon Valley is a wonderful place but can also catch one in its dark side and can consume one. What helps me is to go back to my small village in Romania where nobody knows or cares to know who Sam Altman is. Find your grounding place. In the chase for money and success, it’s easy to lose track of what fully matters - health and family.

47k

Yesterday I volunteered at @aiDotEngineer and I'm sharing my AI learnings in this blogpost below. Tell me which one you find most interesting and I'll write a deep dive for you. Key topics 1. Engineering Process Is the New Product Moat 2. Quality Economics Haven’t Changed—Only the Tooling 3. Four Moving Frontiers in the LLM Stack 4. Efficiency Gains vs Run-Time Demand 5. How Builders Are Customising Models (Survey Data) 6. Autonomy ≠ Replacement — Lessons From Claude-at-Work 7. Jevons Paradox Hits AI Compute 8. Evals Are the New CI/CD — andĀ FeelĀ Wrong at First 9. Semantic Layers — Context Is the True Compute 10. Strategic Implications for Investors, LPs & Founders Thx @swyx

12k

This t-shirt is from 1982. The lessons are for 2025. Guide Harry through a treacherous jungle maze. He must leap over obstacles and dodge deadly dangers, while grabbing all the treasure he can reach! I’m wearing Pitfall!, one of the earliest iconic video games. Was made by @PitfallCreator, a programmer who worked for Activision in the early 1980s. It is the second best-selling game made for the @atari 2600 (after Pac-Man), with over 4 million copies sold. Behind the image was serious craftsmanship. Activision president Jim Levy treated games — and their packaging — like music albums , insisting on high production values. Every element was chosen to tell the jungle-exploration story. This philosophy extended to giving creators pride of ownership. Activision was unusual in emblazoning the designer’s name (and even photo) on each box, treating every title as an ā€œindividual piece of artā€ . But what most people miss is that it wasn’t just a game — it was beautiful software. Well-architected: the world was procedurally generated in just 4KB of memory — a marvel of thoughtful design. Easy to adopt: no manual needed to understand what to do — run, jump, swing, survive. Visually distinct: the color palette, the layout, even the packaging felt cohesive and honest. Crafted end-to-end: Activision credited their designers on the box and treated the whole product — from code to cover — like a work of art. That sense of authorship and storytelling made the game (and its art) more than pixels and ink; it became an iconic narrative. More than 35 years later, seeing Pitfall’s art or a retro shirt reminds us that great product design (software or otherwise) blends utility with story and craft. I think a lot about this when I meet AI founders. In an era of agentic systems, ML pipelines, and frontier foundation models, it’s easy to chase temporary power over clarity. But the AI products that will endure are the ones that make people feel something: trust, wonder, ease, delight. They are well-architected. Well-designed. Easy to adopt. That’s what I look for when I invest — founders who treat software not just as output, but as craft. The ones who care about the emotional signature of their product. Who build with taste, not just brute force. Who sweat the small stuff — because they know the small stuff compounds. If that’s you, we’ll probably get along. Reach out, would love to see what you’re building. What was your favorite Atari game?

9k

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