AI-Powered Stock Market Analyst

Hacker News

We are excited to launch our AI-powered Stock Market Analyst. The AI analyst can access each US public company's profile, product info, and 15 years of financial records. It uses this data to analyze companies. It analyzes stocks using long-term value-growth investing strategies similar to those used by investors like Phil Town, Warren Buffet, Monish Pabrai, Li Lu, and Charlie Munger. You can try it here with Apple stock: https://decodeinvesting.com/financial_analyst/AAPL/chat/lima You can also select other stocks from here: https://decodeinvesting.com/ai_stock_analysis We would love to hear your feedback and suggestions.

Visit product View on Hacker NewsSep 30, 2023

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Actual performance

1points

Did not reach leaderboard

Launch Intel predictions

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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.

best fitHighest predicted score across all platforms for this description.

Product HuntUnlikely to reach the leaderboard · Strong signals: apple, using, code · Missing: mac, agents, macos

41%41% predicted probability of success on Product Hunt, 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, io · Missing: https docs, just released, exist

34%34% 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

34%34% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Strong signals: arr, growth · Missing: mrr, revenue, profit

13%13% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

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

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

Correct prediction on native model

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