Moneyflow – Personal Finance Application

Hacker News

I've always managed my budgets and tracked my expenses manually with spreadsheets in the past, in the last couple of years, I've started to use web/mobile apps, more common ones like Mint, Spendee, YNAB, etc. But I've always faced some limitation or essential problem so I started my own. Moneyflow - https://moneyflow.acloudhub.info Moneyflow, this app has Unified user experience, share wallets (and budgets!), Unlimited cloud storage, Multi-Currency, unlimited categories creation and transaction hashtags. The use of the app for one wallet and one budget is free (only requires email verification), I hope this will help another with the same passion for personal finance.

Visit product View on Hacker NewsNov 5, 2019

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Actual performance

4points

Did not reach leaderboard

Launch Intel predictions

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

77%77% 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: mobile apps, personal, apps · Missing: ios, entrepreneurs, video

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

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

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

nativeThis product was originally launched on this platform.

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

49%49% 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

44%44% 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

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

1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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