Treasury – The personal finance app built for you (now on iOS)

Hacker News

Hi HN! I'm excited to share that Treasury ( https://treasury.sh ) is now available on the iOS App Store. Treasury is a personal finance app I've been building, and we just opened up our public beta. We'd love your feedback. Currently, Treasury has a set of core building blocks that let you create financial setups as simple or as complex as you want. You can track your net worth, analyze spending, spot recurring transactions, and build budgets that actually match how you think about money. Download it from the App Store and let me know what you think.

Visit product View on Hacker NewsDec 29, 2025

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

76%76% 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: ios, personal · Missing: mobile apps, entrepreneurs, apps

57%57% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

52%52% 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: excited, io · Missing: https docs, just released, exist

48%48% 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

45%45% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

22%22% 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

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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