handleoutbid

TrustMRR

Public website (handleoutbid.lol) where customers pay a one-time fee to list or raise the rank of an Instagram handle on a public leaderboard. The product is the digital listing and rank. No physical

Public website (handleoutbid.lol) where customers pay a one-time fee to list or raise the rank of an Instagram handle on a public leaderboard. The product is the digital listing and rank. No physical goods, no subscription, not affiliated with Instagram.

Visit product View on TrustMRRNov 10, 2024Media stripe

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Actual performance

Did not reach leaderboard

Traction signals

MRR growth 30d-100.0%

Launch Intel predictions

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

79%79% 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.

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

42%42% 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: subscription, customers · Missing: arr, mrr, revenue

27%27% predicted probability of success on Acquire.com, 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.

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

22%22% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

20%20% predicted probability of success on BetaList, based on ML models trained on real launch data.

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

8%8% 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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