TOPSPOT
Indie HackersBID
I had a simple idea: What if there was a public leaderboard for websites where anyone could compete for the top spot? So I built TopSpot. There are 100 positions and websites can bid to move up the ranking. Higher bi
Share cardActual performance
Did not reach leaderboard
Launch Intel predictions
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Hacker NewsStrong engagement from HN community · Missing: https docs, just released, open source52%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.
Indie HackersIH features products with proven revenue · Missing: supports, created, podcasting47%47% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
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 businesses26%26% predicted probability of success on BetaList, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Strong signals: site · Missing: reviews, intuitive, videos23%23% 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, revenue21%21% 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, profitable15%15% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Correct prediction on native model
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