MyUserFeedback

TrustMRR

MyUserFeedback is a service which allows other business' to easily collect user feedback with customisable embeddable widgets. We aim to allow any business to understand what their users really think

MyUserFeedback is a service which allows other business' to easily collect user feedback with customisable embeddable widgets. We aim to allow any business to understand what their users really think about their product or service with the ultimate goal of allowing the business owner to provide a better service for their clients We offer a 7 day free trial on all tiers

Visit product View on TrustMRRMay 5, 2024Customer Support Software stripe

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Actual performance

1customers

$21MRR/mo

Did not reach leaderboard

Traction signals

Domain Rating6

Launch Intel predictions

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

78%78% 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.

TrustMRRFits verified-revenue profile · Strong signals: users, widgets · Missing: mobile apps, ios, personal

69%69% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

Product HuntOn track for Day 1 leaderboard · Strong signals: user · Missing: mac, agents, macos

59%59% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Strong signals: ide · Missing: https docs, excited, just released

45%45% predicted probability of success on Hacker News, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · Strong signals: users · Missing: plus, platform, intuitive

25%25% 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, revenue

18%18% 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

2%2% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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