Finance Monitor – open-source finance aggregator

Hacker News

This open source web app aggregates accounts, and displays their balances, transactions, and trends in one place. I started building it ~2 months ago after learning Mint.com was shutting down. I used Mint mainly as an aggregator, to view all account values together, and inspect transaction history without logging into each account separately. I realized I could replicate this functionality by using Plaid’s API. Tech stack: - Django backend - Postgres database - HTML + CSS + JS frontend. I may integrate typescript, but am skipping it for now to eschew the build step and associated config. There are other uses people have for Mint, like budgeting, which I don’t use personally. I didn’t put much work into them, but may if I get enough feedback. I’m open to any and all feedback, contributions, and critique. (Here, Github etc) There's also a hosted / fully-working one deployed: https://www.finance-monitor.com/

Visit product View on Hacker NewsApr 29, 2024

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

85%85% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

74%74% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

Hacker NewsStrong engagement from HN community · Strong signals: open source, io · Missing: https docs, excited, just released

63%63% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

51%51% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

26%26% 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

13%13% 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

1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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