Bread Budgeting – A Gamified Budgeting App Where You Keep a Bread Alive

Hacker News

Over the past 4 months, I have been building Bread - the gamified budgeting app. Many friends have told me that they've wanted to keep better track of their personal finance, but that the existing tools to do so (apps, websites and spreadsheets) were overly complicated for their purposes. So I've created my first ever app, Bread Budgeting, which aims to make budgeting fun and enjoyable. It rewards good spending habits with collectible bread characters. Keeping within your budget each month will keep Brad (the anthropomorphic bread slice) alive, but go above your limits and watch him burn before your eyes. The app also features custom categories and bank sync (for US accounts), along with AI powered automatic categorization of transactions Let me know what you think!

Visit product View on Hacker NewsApr 15, 2024

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

79%79% 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: personal, apps, month · Missing: mobile apps, ios, entrepreneurs

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

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

59%59% 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: exist, existing, io · Missing: https docs, excited, just released

31%31% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

30%30% 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

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

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

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

Correct prediction on native model

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