I open-sourced HedgeVision — an autonomous hedge fund level AI system. Here's why and what I learned.
Hey IH community,
I've been building in stealth for a while and just made one of my core projects fully open source — HedgeVision.
What is it?
HedgeVision is an autonomous, hedge fund level AI system. Think systematic intelligence for financial decision-making — not just signals, but an end-to-end AI-first architecture. SuperIntel is coming very soon as the next layer on top.
Why open source it?
I believe the best way to build credibility, attract collaborators, and accelerate development is to let the community in. I've learned more from open feedback than from building in isolation.
What's under the hood?
- AI-first architecture throughout
- Robust RAG pipelines with layered accuracy (3-fold accuracy — the outputs speak for themselves)
- Designed for real-world financial intelligence, not just backtesting toys
What else am I building?
- VIEngine — closing in on open beta (days away). AI infra play. DM if you want early access.
- MangalMurti Jewellers — just launched for online orders. Lab-grown diamond solitaires + 3D jewellery viewer dropping in days. AI-first internally.
Lifelong learner and builder. Always open to collab, feedback, and connecting with fellow founders.
Would love to know — has anyone else open-sourced a core product? What was traction like in the first few weeks?
— Ayush
this is a bold move, especially open-sourcing something at the core level
the “AI-first financial intelligence” angle + RAG pipelines sound interesting, curious to see how it evolves with real-world usage
since you're already thinking about credibility and traction, you could also try putting this into a competition
good way to get more visibility + attract early attention
also, prize pool just opened at $0, so your odds are the best right now
Interesting approach using open source as the trust layer for a fintech product. I'm doing something similar in AI security - built a public challenge game where anyone can try to break the detection system. Same principle: if people can poke at it themselves, they trust it more than any claims on a landing page.
Curious about the RAG pipeline - when you say 3-fold accuracy, is that three separate retrieval passes with consensus, or three different validation stages? The layering concept is interesting because I've found the same thing in my detection work - single-pass systems miss too much, but stacking cheap fast checks before expensive deep checks keeps latency manageable while catching more.
Also honest question - how are you thinking about the gap between HedgeVision (open source scaffold) and SuperIntel (the real product)? That transition from free to paid is something I'm navigating too. Did you worry that showing the architecture openly makes it easier for someone to just build their own?
The credibility argument for open sourcing is real, especially in fintech where trust is the whole product. If you're asking someone to trust your system with financial decisions, letting them read the code is a much stronger trust signal than any landing page copy.
What's the reception been from the community so far? Curious whether the open feedback loop is surfacing things you didn't expect, or mostly validating what you already thought was working.
Bold vision. The post would land harder with a GitHub link, a sample output, or even a screenshot of the system in action.
Thats correct, completely bypassed that in hurry, here is the link, please check it out and a star would mean a lot, yet only if you think it deserves it! https://github.com/ayush108108/hedgevision
I'll be sure to add visuals next time, thanks for reminder!
Quick clarification I should have led with more clearly — HedgeVision is the open-source preview and foundation layer. The real deal I'm building toward is SuperIntel — an autonomous superintelligence-level system for the hedge fund space, launching very soon. HedgeVision is essentially the public scaffold that shows what the architecture looks like before the full system goes live. Think of it as the repo that lets builders see the bones, while the actual engine (SuperIntel) is what will run autonomously at scale. Wanted to be clear on that distinction for anyone following the project — the open-source is genuine and useful on its own, but the real launch is coming.