IndieHacks
Indie HackersDiscover Indie Version of Popular SaaS Products
To help indie hackers to promote their products.
Share cardActual performance
Did not reach leaderboard
Launch Intel predictions
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Hacker NewsStrong engagement from HN community · Strong signals: io · Missing: https docs, excited, just released52%52% predicted probability of success on Hacker News, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
Product HuntUnlikely to reach the leaderboard · Missing: mac, agents, macos39%39% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting37%37% predicted probability of success on Indie Hackers, 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, personal26%26% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
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.
BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto17%17% predicted probability of success on BetaList, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Strong signals: saas · Missing: arr, mrr, revenue15%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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SproutUp is for you to discover, tryout and geek out emerging products48%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 News2Wellmade52%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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Track if popular LLMs recommend your products52%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Track if popular LLMs recommend your products
Hacker News3Deimosbos Labs31%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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Validated ideas 2.0-list of 9k popular but poorly executed products62%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 News4