Track Your Investment

TrustMRR

TrackYourInvestment is an iOS app that keeps every investment you hold on one screen. You add the stocks, funds, currencies, gold and crypto you own; it values them with live market prices and shows the daily change. Coverage spans Borsa Istanbul, US, European and Asian exchanges, Turkish mutual funds, gram gold and major cryptocurrencies, in 18 languages.

Visit product View on TrustMRR Fintech Mobile App B2C

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Actual performance

1customers

$3MRR/mo

Did not reach leaderboard

Traction signals

MRR growth 30d-100.0%

Launch Intel predictions

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

75%75% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

BetaListSuited for BetaList early-adopters · Strong signals: crypto · Missing: web3, chat, cryptocurrency

50%50% predicted probability of success on BetaList, based on ML models trained on real launch data.

Indie HackersIH features products with proven revenue · Strong signals: ios · Missing: supports, reddit linkedin, podcasting

40%40% predicted probability of success on Indie Hackers, 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

37%37% predicted probability of success on Hacker News, based on ML models trained on real launch data.

Product HuntUnlikely to reach the leaderboard · Missing: mac, agents, macos

33%33% 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

31%31% 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

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

Incorrect prediction on native model

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