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Auto-generate stock research reports from SEC and industry publicaitons

Hacker News

Auto-generate stock research reports from SEC and industry publicaitons

I built a tool that produces stock research reports in ~5 minutes by combining SEC filings, curated industry sources, and live financial data. Demo: https://www.youtube.com/watch?v=2wCM44B6iH8 Instead of relying on OpenAI’s Deep Research (too costly, ~$10/run), I built my own agents that: - Parse 10-Ks and 10-Qs directly from the SEC - Search curated industry publications (avoiding noisy market news) - Pull financials from Financial Modeling Prep A combiner agent then outputs: - A one-page summary - A detailed report with citations - Financials talbes + graphs This is NOT a stock tip generator or a replacement for your own judgment. Think of it as a scalable junior analyst who does the research part for you. You can sign up (3 free credits) or just comment a ticker and I’ll share a sample report. Would love feedback on whether this fits your workflow, especially from folks who do deep equity research.

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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
71%71% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
TrustMRRFits verified-revenue profile · Missing: mobile apps, ios, personal
52%52% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Product HuntOn track for Day 1 leaderboard · Strong signals: agents, agent, model · Missing: mac, macos, cursor
51%51% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: io · Missing: https docs, excited, just released
44%44% 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
37%37% 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
13%13% 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
0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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