Yigit Ihlamur
Co-founder + General Partner, Vela Partners. Bay Area.
Yigit is co-founder and General Partner at Vela Partners, a quantitative venture capital firm investing in AI-native software. He's an entrepreneur, engineer, and investor; he studied at the University of Oxford and previously worked at Google before founding Vela in 2017.
Vela is built around the bet that the venture process itself can be modeled. The firm publishes work on predictive models for venture outcomes, including Product-Hunt-to-Series-A funnel research and LLM-driven feature discovery for portfolio construction. The thread connects to the writing on this site: AI now generates more work product than human review can absorb, and the bottleneck has moved to the handoff between the model and the person who has to sign off.
Vela Docs sits on that bottleneck. It's a small piece of the larger thesis: when AI hands a non-developer a .md or .html file, the tool that opens it should also let the team comment on it. Most of the writing on this site is Yigit's, and it follows from that observation.
Investing focus
AI / ML, robotics, developer tools, SaaS, and the future of work. Pre-seed and seed. The portfolio at vela.partners shows the full picture; the in-house research on quantitative VC modeling is the lens behind every check.
What he writes about here
- How to open, read, and share the
.mdand.htmlfiles AI tools produce. - Honest tool comparisons against HackMD, HedgeDoc, Obsidian, Typora, Notion, Google Docs, and others.
- The workflow shift from "AI generates" to "team reviews the AI output", and what that means for non-developers.
Follow him on LinkedIn for ongoing notes on startup investing and AI-native software.
Elsewhere
Reach Vela: vela.partners. For Vela Docs security disclosures see the security page.