Zibra Labs
HPC for Quant Trading Firms running backtesting at scale.
Note: This is a preliminary assessment based on limited publicly available information. We did not have access to LinkedIn profiles or live product screenshots for this analysis. We will update this entry with a more thorough review soon.
Verdict
The market thesis is solid — quant firms genuinely are bottlenecked on backtesting compute as AI floods the strategy pipeline — and if the Ray tech-lead credential checks out, this is a technically credible team for the problem. However, LinkedIn profiles are unavailable which prevents verification of the core founder claims, and there is zero visible product traction, no press, no customers, and no proof of a working system. The idea is compelling and the ICP is crisp, but this is entirely pre-traction with unverified credentials, which keeps it firmly in B territory. Needs to show a live cluster, a pilot customer, or at minimum open-source tooling to move up.
Active Founders
After a career making software that serves over a billion people, with a background primarily in large databases, I'm now building HPC clusters at Zibra Labs The past two years I've been focused on what the next generation of AI data center software looks like — and working to shape that future. I've been fortunate to do much of this in open source, which I'm deeply passionate about. Talk to me about databases, Mahjong, guitars, or weird horror movies. I'm currently building Zibra Labs.