TeamIndieHackers

TeamIndieHackers

Indie Hackers

Follow @IndieHackers on X for stories and insights.

Follow @IndieHackers on X for stories and insights about founders building profitable online businesses, and to connect with others in the Indie Hackers community.

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Actual performance

1followers
Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →
Hacker NewsMay not resonate with HN audience · Missing: https docs, excited, just released
47%47% 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.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
46%46% 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, podcasting
31%31% 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 · Strong signals: profitable · Missing: mobile apps, ios, personal
29%29% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Missing: mac, agents, macos
29%29% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Strong signals: profit, profitable · Missing: arr, mrr, revenue
24%24% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto
7%7% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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Zeitgeist – Stories for You31%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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Most Penalized HN Stories56%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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SideHustler58%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Telling the stories of Africans and their side hustles.

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Tellus31%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Grandpa’s stories, preserved for his grandkids

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