I created an app to make sure your friends cough cash they owe you

Hacker News

I created an app to help you track and share travel expenses among friends. Here's the story: I was on a trip to Spain with my senior pastor and church accountant. We had a tiring first day. Only I spoke a little of the language but that didn't stop of from getting lost. In the midst of this, we had to buy multiple bus and train tickets and it was easier for one person to pay. We finally made it to our hotel and went out for dinner and my senior pastor paid. There was all these scattered expenses and my curious brain was looking for an easy way to solve this. We could never fight because of money but I had seen many wonderful relationships split because of money and chose to solve the problem. I spent a few hours in the morning pushing out some code and then over the last 2 weeks, I put in some work after my 9-5 and between church and school. Now I have a very buggy product. That's how Splitpool was born.

Visit product View on Hacker NewsApr 24, 2024

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Indie HackersFits the IH revenue-focused audience · Strong signals: created · 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.

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

53%53% 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: io · Missing: https docs, excited, just released

46%46% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

39%39% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

20%20% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

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

20%20% predicted probability of success on AppSumo, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Strong signals: paid · 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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