Flowpost

TrustMRR

AI-powered tools for LinkedIn creators that pulls serious organic traffic: ~50,000 monthly sessions from Google across Spain, Italy, Brazil, France and Latin America. On top of that we offer AI carousel and post generation. The standout asset is distribution: we rank #1 for high-intent LinkedIn search terms in six languages — a hard-won SEO moat and a large, engaged audience ready to be monetized.

Visit product View on TrustMRROct 1, 2024Social Media Software B2C

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Actual performance

23customers

$445MRR/mo

Did not reach leaderboard

Traction signals

Domain Rating9

MRR growth 30d-100.0%

Launch Intel predictions

Analyze your own launch →

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

82%82% 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: month, google, monthly · Missing: mobile apps, ios, personal

63%63% 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: google · Missing: mac, agents, macos

55%55% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

43%43% 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

26%26% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Strong signals: 000, io · Missing: https docs, excited, just released

17%17% predicted probability of success on Hacker News, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto

14%14% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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