A

A Links Crawler for News

Hacker News

A Links Crawler for News

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Actual performance

10points
Made the leaderboard

Launch Intel predictions

Analyze your own launch →
BetaListSuited for BetaList early-adopters · Missing: web3, chat, crypto
77%77% 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.
Hacker NewsStrong engagement from HN community · Missing: https docs, excited, just released
59%59% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
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.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
35%35% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting
23%23% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Strong signals: new · Missing: mac, agents, macos
20%20% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
15%15% predicted probability of success on Acquire.com, 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

BetaList
Ha
HackerNews News Recommender59%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

HackerNews News Recommender

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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.

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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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