I licensed $50k of stock market data to do analysis Claude can't

Hacker News

Hello HN. I’ve been using Claude to summarize stock news and some basic analysis for some time now, but results were only ever based off of web searches so I never really anything insanely useful out of it. The big breakthrough came when I properly acquired my 90+ datasets (worth over $50,000), and connected it to my data analysis agent harness to do my investment research. What it does: ask anything across the NYSE/NASDAQ, schedule agents to alert me on market or price changes, intrinsic value calculations, and investment research (pull from news or historical and current earnings, fundamentals, or holdings/insider/politician trades). Just launched on Product Hunt too, and if this was interesting at all, would appreciate an upvote. Questions and feature requests welcome. Really excited about this and appreciate any feedback from yall.

Visit product View on Hacker NewsSep 10, 2026

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Product HuntOn track for Day 1 leaderboard · Strong signals: agents, agent, claude · Missing: mac, macos, cursor

85%85% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting

65%65% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal

40%40% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Strong signals: excited, ide, 000 · Missing: https docs, just released, exist

39%39% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive

31%31% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue

17%17% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto

3%3% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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