Adi Kulkarni
41 posts
Adi Kulkarni
@AdiKulkarni6
CEO @ David Data | YC S26 | CS & Econ @ Yale
Katılım Nisan 2020
64 Takip Edilen76 Takipçiler
@AdiKulkarni6 Lmfaooo from now on when I'm late to a function, I'm going to start saying I'm almost done thinking.
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do ppl still use bloomberg terminal? feels like its falling off cuz of all the new financial data providers
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a digital salesroom for sales agents perhaps
Alex Sima@sima_alexx
Do you guys have this problem? Enterprise sales are so slow :( I feel like it's such a headache for a startup to try to coordinate a structured deal process for clients that is not confusing. Is there some minimalistic "digital sales room" tool out there for startups? I would buy it.
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agents setting up emails, api keys, accounts… they’re probs gonna be doing YC in the fall at this rate
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anyone’s customer support inboxes getting flooded by users agents instead of actual ppl? trying to figure out how common this is
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The model sees what a real analyst would on the day (prices, financials, earnings, estimates, news, filings), it’s point in time. For the prices, we don't simulate actual buyers and sellers. It's a model tuned to move like a real market (calm periods, volatility spikes, crashes clustering, reactions to earnings/macro), and events like earnings or shocks push the prices around.
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@davidhfdata whatchu know about my data
jk but can you speak the the observable processes that were supposed to be indexed on for this RL problem? i.e. behind the market how did you model demand?
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Frontier LLMs are impressive at many things. Trading is not one of them.
We had Fable, GPT-5.5, Gemini 3.5 Pro, and Grok 4.5 each run a portfolio for ~1.6 years on a synthetic stock market they've never seen.
All of them lost money.
Think you can beat the benchmark? Try it 👇
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Testing on real market data after the model’s knowledge cutoff could be a more accurate representation of real-world accuracy, but yeah the time window is much smaller and is only one path, while synthetic data lets us test across a much wider range of market conditions (and we validate the synthetic data on real panels).
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@davidhfdata really interesting! is it possible to simulate the model's performance since the knowledge cut-off instead of simulating it?
the time frame is a lot smaller but may be a more accurate representation of real-world accuraccy? or is the synthetic data equivalent?
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LLMs are cooked in trading atm
David Data@davidhfdata
Frontier LLMs are impressive at many things. Trading is not one of them. We had Fable, GPT-5.5, Gemini 3.5 Pro, and Grok 4.5 each run a portfolio for ~1.6 years on a synthetic stock market they've never seen. All of them lost money. Think you can beat the benchmark? Try it 👇
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Taking the leap is hard, but there's joy in the unknown.
@AdiKulkarni6 and I spent senior year pivoting through 4 ideas (including an AI hedge fund). Now we're building @davidhfdata — synthetic market data for superhuman AI trading.
Excited to join @ycombinator S26!
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Superhuman AI traders won't be trained on the past. They'll be trained on every possible future.
That's what @sima_alexx and I are building at @davidhfdata.
Excited to join @ycombinator S26
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@AdiKulkarni6 @sima_alexx @davidhfdata @ycombinator feels like there's so much room for ai in finance related products, being infra for it is a great idea.. good luck guys
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@ojaskandy In one world our model created, Goliath wins and David is cooked
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my quantitatives named it david and gave ai the ability to make up worlds
goliath is cooked
Alex Sima@sima_alexx
Taking the leap is hard, but there's joy in the unknown. @AdiKulkarni6 and I spent senior year pivoting through 4 ideas (including an AI hedge fund). Now we're building @davidhfdata — synthetic market data for superhuman AI trading. Excited to join @ycombinator S26!
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15 TB for a Minecraft world? that's a war crime on grass blocks.
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@sima_alexx @sama and then u become Darth Vader and say "claude I am your father"
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