Analytika

TrustMRR

Analytika is a privacy-first web analytics platform for founders who need more than just pageviews. It replaces tools like Google Analytics without requiring annoying cookie banners, as it's 100% GDPR compliant. Beyond basic traffic, it tracks real growth metrics: custom conversion funnels, MRR & revenue attribution, and a "Social Radar" that alerts you whenever your startup is mentioned on X or Reddit. It gives you the exact data you need to grow, wrapped in a beautiful UI.

Visit product View on TrustMRRSep 3, 2026Analytics Other B2B

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Actual performance

1customers

$7MRR/mo

Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →

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

83%83% 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 HuntOn track for Day 1 leaderboard · Strong signals: google · Missing: mac, agents, macos

73%73% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

Hacker NewsStrong engagement from HN community · Strong signals: io · Missing: https docs, excited, just released

56%56% predicted probability of success on Hacker News, based on ML models trained on real launch data.

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

51%51% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

32%32% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Strong signals: mrr, revenue, growth · Missing: arr, profit, saas

27%27% 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

3%3% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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