KeepBidding

KeepBidding

TrustMRR

KeepBidding.lol is a pay-to-rank platform where startups, SaaS products, AI tools, apps, and side projects compete for visibility. List your product, place a bid, and climb the leaderboard. The highes

KeepBidding.lol is a pay-to-rank platform where startups, SaaS products, AI tools, apps, and side projects compete for visibility. List your product, place a bid, and climb the leaderboard. The highest bidder gets the #1 spot and more visibility. Start bidding from just $1.

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Actual performance

Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →
Indie HackersFits the IH revenue-focused audience · Missing: supports, created, podcasting
68%68% 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.
BetaListSuited for BetaList early-adopters · Missing: web3, just like, small businesses
57%57% predicted probability of success on BetaList, based on ML models trained on real launch data.
Product HuntOn track for Day 1 leaderboard · Strong signals: apps · Missing: mac, agents, macos
53%53% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Strong signals: platform · Missing: reviews, intuitive, videos
30%30% 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 source
26%26% predicted probability of success on Hacker News, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Strong signals: saas · Missing: arr, mrr, revenue
19%19% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Strong signals: ai · Missing: api, 000, profitable
7%7% 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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