
Saaya Nath Pal
50 posts

Saaya Nath Pal
@saayanath
VC @JumpCapital. Excited about all things cybersecurity, infrastructure and AI


We built a system combining program analysis and LLMs to transform and optimize PTX. By operating at this shared layer across DSLs (e.g. Triton, TileLang, ThunderKittens, CUTLASS), our system learns the best ideas from each and generates kernels that outperform all of them (1/5)






At RSA, one thing is clear: security is lagging how systems actually run. @saayanath and @pasha_aqil share 5 shifts we’re seeing from non-binary endpoints to agent security. We’re looking for builders in this space: jumpcap.com/insights/what-…

Excited to share @Standard_Kernel's seed round and some reflections on what we’ve learned about kernel generation and what we believe is next. Grateful to our amazing team, supporters, and the broader community pushing this space forward.






Can LLMs predict the future for startups? Sounds impossible, but is it? We've experimented with using LLMs to try to predict company outcomes, based on founder psychological attributes alone. Wow, it worked much better than anticipated! Read more and see your own results. 👇












