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A tool to balance US political news

Hacker News

A tool to balance US political news

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Actual performance

1points
2comments
Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →
BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto
49%49% predicted probability of success on BetaList, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal
43%43% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
39%39% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Missing: https docs, excited, just released
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.
Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting
33%33% predicted probability of success on Indie Hackers, 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.
Product HuntUnlikely to reach the leaderboard · Strong signals: new · Missing: mac, agents, macos
11%11% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

Correct prediction on native model

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Fews
Fews

Get news in a nutshell

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StraightUp - News at your pace44%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

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Show HN : Distributed News63%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Show HN : Distributed News

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News for AngelList.43%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

News for AngelList.

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Educator News62%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

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Nouncy – Announce your news with a bang53%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Nouncy – Announce your news with a bang

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