Xpenses.app – Track your expenses in the easiest and most intuitive way

Hacker News

Yes, another expenses managing app :), I built it with one simple objective, know the first day of the month how much I can save or I am free to spend. There are many apps to manage your expenses, with icons, categories, subcategories, etc.. and I want to keep it simple (not so much as an excel file, but similar and online) in Xpenses.app you just have to add your bank account name and select a color for it and all your incomes and expenses will be marked with this color. When adding an income or expense you just set the name, amount, bank account (added in the first step) and choos if it will be repeated and how many times per year and that's all, you will be able to see each month how much you will save, pay and earn. Feel free to roast my app/website and let me know what do you miss from it.

Visit product View on Hacker NewsNov 22, 2023

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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.

best fitHighest predicted score across all platforms for this description.

Hacker NewsStrong engagement from HN community · 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.

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

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

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

38%38% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

36%36% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

23%23% 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

2%2% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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