RankBidr
TrustMRRA transparent product leaderboard where every product can list for $2 and bid more to move up.
Share cardActual performance
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Launch Intel predictions
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Indie HackersIH features products with proven revenue · Missing: supports, created, podcasting48%48% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
AppSumoMay struggle as an AppSumo deal · Missing: reviews, intuitive, videos44%44% 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, just released, open source41%41% predicted probability of success on Hacker News, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Missing: mac, agents, macos34%34% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Missing: web3, just like, small businesses33%33% predicted probability of success on BetaList, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue16%16% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Missing: api, 000, profitable6%6% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Correct prediction on native model
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Hacker News2CryptonQR23%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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Indie Hackerscommitment-full-timeDeskpro23%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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Docking64%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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Product Hunt+3
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Name of the product64%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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Product Hunt+10