MyCashCube – A Free Budgeting App That Respects Your Privacy

Hacker News

Hey HN, I built MyCashCube – a free, privacy-respecting budgeting app for individuals who want powerful features without ads, tracking, or data selling. After years of using over-complicated or data-hungry tools, I wanted something simple, fast, and respectful of user privacy. So I built MyCashCube with these goals: Track income, expenses, assets, goals, and budgets in one place No personal data required (just email + password) Visual dashboards for clear insights Recurring transactions & undoable changes No ads, no upsells, no creepy analytics It’s built using Next.js + AWS Amplify and works well on both desktop and mobile. I’d love your feedback on UX, performance, and features you'd expect from a privacy-first finance app. Try it out here: https://mycashcube.com Happy to answer any questions or chat about the tech stack and design choices!

Visit product View on Hacker NewsJun 25, 2025

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

82%82% 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.

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

79%79% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

AppSumoStrong fit for a featured deal · Missing: plus, platform, intuitive

54%54% predicted probability of success on AppSumo, based on ML models trained on real launch data.

TrustMRRLess likely to generate early MRR · Strong signals: personal · Missing: mobile apps, ios, entrepreneurs

35%35% predicted probability of success on TrustMRR, 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

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

nativeThis product was originally launched on this platform.

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

12%12% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

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

0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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