Rebudget, a personal finance app

Hacker News

Hey HN, Today, I'm announcing the public release of MVP of Rebudget, a personal finance app that I've been working on over the last 2 years. Rebudget helps you create a budget and track your personal finances using the zero-based budgeting or the envelope method. I originally started working on this mostly as a fun side project to experiment and see what I could do, but also as a potential Mint/YNAB replacement for myself (as well as my wife's spreadsheet!). There is still a lot of work to be done (it may be a little rough around the edges in some places), but I'm excited about the challenges and work ahead. I'm open to any questions or feedback that is provided. Thanks!

Visit product View on Hacker NewsMay 2, 2022

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Product HuntOn track for Day 1 leaderboard · Strong signals: using, open · Missing: mac, agents, macos

80%80% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

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

66%66% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

63%63% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

58%58% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

27%27% 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

15%15% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Strong signals: finances · 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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