Show HN: Ledgr – Offline finance tracker with local LLM categorization

1 point

4 months ago

I built Ledgr because I was tired of giving Plaid access to my bank account and paying $99/year for the privilege.

It’s a desktop app for macOS (Apple Silicon only for now). You import Chase CSV files, everything goes into local SQLite, and transactions get categorized automatically. There are 50+ built-in rules, learned rules that improve as you correct them, and an optional local LLM via llama.cpp. You bring your own GGUF model. No API calls, no cloud, no telemetry.

Stack: Tauri 2.0 (Rust + React), SQLite, llama.cpp bindings. One thing I haven’t seen in other tools: every transaction shows why it was categorized (rule name, confidence score, or “manual”). You can set budgets, filter/search, and export to CSV.

Free and MIT licensed. Limited right now: only Chase CSV, only macOS. I wanted to ship and see if anyone else cares about this approach.

GitHub: https://github.com/Humanji7/ledgr Download (macOS ARM): https://github.com/Humanji7/ledgr/releases/latest