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An app that tracks expenses by splitting bills

Hacker News

An app that tracks expenses by splitting bills

Living with college friends, 99% of my transactions are split amongst people, and as such me and my friends use bill splitting apps a lot. A problem with this is that this has made it very difficult for me to track my expenses. Since different payments are made by different people , part of those would be my expenses So I thought if my bill splitting app itself also tracked my expenses, if everyone simply used this app to split their payments, each members expenses would get tracked automatically. And this led me to create TrueCents I'd been working on it for a few months but until now its just been me and a few friends on the app. Now I'd like to get more people to try and use the app, hence this post. Co-incidentally recently splitwise has become very restrictive in its free tier, which makes me think this can be even more useful. The app is made using flutter and firebase currently, but I do plan to switch from firebase if there's significant interest in the product Looking forward to your feedback and suggestions

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Actual performance

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Launch Intel predictions

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Product HuntOn track for Day 1 leaderboard · Strong signals: apps, using · Missing: mac, agents, macos
72%72% 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
68%68% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Strong signals: apps, month · Missing: mobile apps, ios, personal
45%45% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: ide, io · Missing: https docs, excited, just released
26%26% 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
25%25% 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
17%17% 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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