Spend Together iOS app for sharing expenses

Hacker News

Hello, Hacker News! A year ago I decided to try myself in an app development instead of making games. Together with Hanna Shylenko and Oleh Kravets we solved a problem which has been bothering me for a long time - sharing group expenses. I know there are a lot of similar apps, but not a single one fully suited our needs. Here are some problems we were facing in other programs and solved in ours: 1. No registration, no personal data, GDPR compliant. 2. Honest offline work. All changes made offline will be synchronized with the server when internet connection is available. 3. Currency conversion support. Add expenses in multiple currencies and settle debts in preferred one. 4. Statistics of expenses by categories. I hope we solved the problem with sharing expenses for someone else, not just for ourselves :) Here is a link to iOS beta test: https://testflight.apple.com/join/plMhyWoV

Visit product View on Hacker NewsFeb 12, 2019

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1points

Did not reach leaderboard

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

83%83% 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.

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

42%42% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Strong signals: hacker news, ide, io · Missing: https docs, excited, just released

37%37% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

35%35% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

35%35% 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 · 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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