toplocal

TrustMRR

toplocal is a pay-to-rank leaderboard where any product website or X (@handle) bids real US dollars to rank on a specific continent. The ranking has one input: dollars. The highest cumulative bid holds #1, the next-highest #2, and so on. Rankings are per-continent and independent — the same product can be #1 in Europe and #12 in Asia. An "All continents" view aggregates each listing by its total bids across every continent.

Visit product View on TrustMRRDec 22, 2019IT Services stripe

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Actual performance

Did not reach leaderboard

Traction signals

Domain Rating8

MRR growth 30d-100.0%

Launch Intel predictions

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Indie HackersFits the IH revenue-focused audience · Strong signals: europe · Missing: supports, created, podcasting

70%70% 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.

BetaListMay not resonate with beta-testers · Missing: web3, just like, small businesses

43%43% predicted probability of success on BetaList, based on ML models trained on real launch data.

Product HuntUnlikely to reach the leaderboard · Missing: mac, agents, macos

36%36% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Missing: https docs, just released, open source

34%34% 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, revenue

29%29% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · Strong signals: site · Missing: reviews, intuitive, videos

28%28% predicted probability of success on AppSumo, based on ML models trained on real launch data.

TrustMRRLess likely to generate early MRR · Missing: api, 000, profitable

4%4% 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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Every leaderboard you can pay to rank on, ranked by what they pay. The highest bid wears the crown — until someone pays more.

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