SD
SD News – Exploring AI images for news articles
Hacker NewsSD News – Exploring AI images for news articles
Share cardActual performance
2points
Did not reach leaderboard
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BetaListSuited for BetaList early-adopters · Missing: web3, chat, crypto66%66% 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 NewsMay not resonate with HN audience · Missing: https docs, excited, just released41%41% 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, personal36%36% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Strong signals: new · Missing: mac, agents, macos28%28% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive27%27% 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, podcasting21%21% 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, revenue18%18% 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
Get news in a nutshell
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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.
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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.
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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.
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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.
Educator News
Hacker News1