Actual performance
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Launch Intel predictions
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Product HuntOn track for Day 1 leaderboard · Strong signals: notes · Missing: mac, agents, macos77%77% 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.
BetaListSuited for BetaList early-adopters · Missing: web3, chat, crypto73%73% predicted probability of success on BetaList, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Missing: https docs, excited, just released47%47% predicted probability of success on Hacker News, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal46%46% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting35%35% predicted probability of success on Indie Hackers, 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, intuitive24%24% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue20%20% 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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Brian’s Notes48%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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Take your sticky notes everywhere with you49%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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Hacker News2Ex
Excalidraw for Sticky Notes51%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Excalidraw for Sticky Notes
Hacker News2I
I wrote my lecture notes in Typst52%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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UpWord Notes48%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
UpWord Notes
Hacker News1