ReceiptMatrix – Local-only receipt organizer for Mac freelancers

Hacker News

Hey! I'm a programmer trying to build a business around my own ideas. ReceiptMatrix is my first real shot at that. I have family members who are self-employed and I've seen them struggle with organizing receipts for quite a while. Big cloud platforms exist but there's a gap between DIY spreadsheets and those full-blown SaaS solutions. I wanted to fill that. My program organizes receipts, maps them to Schedule C, and can export a zip file of all key info (PDF summary + categorized CSV + sorted receipt files). All local, no servers, no accounts. Pricing is $12.99/month or $89.99/year with a free tier at 10 receipts/month. Curious what people think about the local-only angle and whether the pricing is in the right range for something like this. Thanks everyone App Store: https://apps.apple.com/app/id6758662836

Visit product View on Hacker NewsMar 24, 2026

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

82%82% 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: mac, apple, apps · Missing: agents, macos, agent

59%59% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

53%53% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

32%32% 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 · Strong signals: platform · Missing: plus, intuitive, reviews

29%29% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

21%21% 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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