CogniGuide

TrustMRR

AI study SaaS turning notes into mind maps, flashcards and quizzes. 50,000+ registered users and an established SEO channel: 13,157 Google clicks in August 2026, up 26% from May. Historical peak MRR of $1,232. Demand follows the academic calendar, with stronger study-period activity and quieter holidays. Database and AI costs of $55-$75/month plus domain, and under 10 minutes/month of routine owner involvement.

Visit product View on TrustMRRAug 20, 2026Education Other B2C

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Actual performance

79customers

$835MRR/mo

Did not reach leaderboard

Traction signals

Domain Rating2

MRR growth 30d-6.2%

Launch Intel predictions

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TrustMRRFits verified-revenue profile · Strong signals: month, google, users · 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.

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

54%54% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

Product HuntUnlikely to reach the leaderboard · Strong signals: google, user, activity · Missing: mac, agents, macos

47%47% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

41%41% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

40%40% 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: mrr, saas · Missing: arr, revenue, profit

38%38% 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

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

Incorrect prediction on native model

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