Trade Hunterr

TrustMRR

Trade Hunterr is an AI-powered stock chart analysis app designed to help traders understand charts faster and turn them into structured trade setups. Users can upload a stock chart image and receive AI-generated analysis including possible long and short setups, entry levels, targets, stop-loss levels, confidence scores, technical reasoning, risk notes, and easy-to-understand explanations. The app also includes an AI trading assistant, stock insights, saved trade setups, and tools to track act

Visit product View on TrustMRRJul 19, 2026Artificial Intelligence Mobile App B2C

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Actual performance

65customers

$737MRR/mo

Did not reach leaderboard

Traction signals

MRR growth 30d+22.7%

Launch Intel predictions

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

75%75% 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, trading · Missing: mobile apps, ios, personal

62%62% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

33%33% 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

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

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

19%19% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

11%11% 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

7%7% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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