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Indie HackersOnline shopping is a most loved thing for the shopping lover
Share cardActual performance
Did not reach leaderboard
Launch Intel predictions
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BetaListSuited for BetaList early-adopters · Missing: web3, chat, crypto53%53% 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.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive46%46% predicted probability of success on AppSumo, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal45%45% 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, podcasting44%44% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Hacker NewsMay not resonate with HN audience · Missing: https docs, excited, just released39%39% predicted probability of success on Hacker News, 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.
Product HuntUnlikely to reach the leaderboard · Strong signals: code · Missing: mac, agents, macos13%13% 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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Indie HackersDiscount Codes15%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Discount Codes
Indie HackersDiscount Codes15%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Discount Codes
Indie Hackers
CouponPush5%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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