AI

AI that summarize news and analyze potential stock impact

Hacker News

AI that summarize news and analyze potential stock impact

Hi Everyone, I was frustrated with the terrible news reading experience (Paywall, advertisements) so I created a free tool that summarizes the latest news articles and analyzes the potential stock impacts. This experiment has saved me so much time to help me understand what might be more important than others. It's completely free, no ad whatsoever. However, AI is a blackbox so take the rating (positive, negative, long-term, and short-term impact) with a grain of salt. It may have picked up some nuances within the article to give a rating and you might not agree with it. Please let me know if you have any feedback!

Visit product View on Hacker NewsAug 18, 2023

Actual performance

10points

1comments

Made the leaderboard

Launch Intel predictions

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

54%54% 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 HackersIH features products with proven revenue · Strong signals: created · Missing: supports, reddit linkedin, podcasting

36%36% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

30%30% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

28%28% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Missing: https docs, excited, just released

27%27% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

14%14% 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

1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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