Frankly

TrustMRR

Built solo over 6 months. Frankly is the first AI-powered financial app actually designed for Gen Z — budgeting that feels as smooth as scrolling TikTok. World-class onboarding, an AI chatbot that speaks Gen Z, saving streaks, jars, money splits, and animations that make it feel alive. Receipt scanning and so much more. Includes 2 warmed TikTok & Insta accounts (USA) + 1 month free dev support. This is a finished product, ready to scale. Buyer also gets secrete sauce of linking this w banks. 👀

Visit product View on TrustMRRNov 20, 2025Fintech Mobile App B2C

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Actual performance

2customers

$6MRR/mo

Did not reach leaderboard

Launch Intel predictions

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

74%74% 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 · Missing: mobile apps, ios, personal

66%66% 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 · Missing: mac, agents, macos

60%60% 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: io · Missing: https docs, excited, just released

27%27% predicted probability of success on Hacker News, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue

25%25% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

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

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

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

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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