I automated forensic accounting for divorce cases (3 min vs. 4 weeks)
Burned about 1 weeks on this. Not sure if it's useful to anyone beyond my original use case, but figure I'd share. Friend went through a nasty divorce. Had $750k going into the marriage (inheritance), put it in a joint account like an idiot. Five years later, account's been up and down, money mixed with paychecks and mortgage payments. Lawyer says "you need a forensic accountant to trace what's still yours." Quote comes back: $5k, 4 weeks minimum. I'm sitting there thinking - this is just transaction categorization and some relatively simple math (the "Lowest Intermediate Balance Rule" if…
What it does
In the maker’s words, at launch
Burned about 1 weeks on this. Not sure if it's useful to anyone beyond my original use case, but figure I'd share. Friend went through a nasty divorce. Had $750k going into the marriage (inheritance), put it in a joint account like an idiot. Five years later, account's been up and down, money mixed with paychecks and mortgage payments. Lawyer says "you need a forensic accountant to trace what's still yours." Quote comes back: $5k, 4 weeks minimum. I'm sitting there thinking - this is just transaction categorization and some relatively simple math (the "Lowest Intermediate Balance Rule" if you want to google it). Why doesn't software exist for this? Turns out it kind of doesn't. There are $50k enterprise tools for big law firms, but nothing a normal person or small practice can actually use. So I built a Django app that takes bank statement PDFs, uses latest Mistral's OCR-3 to parse them (because real-world bank PDFs and shots are a nightmare - scanned, rotated, weird formats), then runs them through an LLM to categorize transactions and a Python implementation of the LIBR algorithm. Output is a court-usable report showing exactly how much of your "separate property" is still traceable, with visualizations and evidence logging (SHA-256 hashing for chain of custody, audit trails, the works). Its FREE and whole process takes about 3 minutes. I'm in India and honestly just want to see if people use it. What's really interesting: -Latest Mistral's document OCR-3 is genuinely impressive on messy banking PDFs. Tried Tesseract first, got maybe 60% accuracy. -The LIBR algorithm is conceptually simple but has some gnarly edge cases (what happens when account hits zero? how do you handle multiple deposits of separate property? etc.) -Evidence integrity was harder than expected. Lawyers care a LOT about proving a document hasn't been tampered with. -Used Celery because some statements have 10k+ transactions and you can't block the request Currently running on Render with Postgres. Code's not open source yet because honestly it's kind of a mess and I need to clean up some stuff, but might do that if there's interest. Things I'm unsure about: -Should it be free? Subscription? How much? Bring your won key? Cause I'm putting money out of my pocket. -B2C vs B2B - individuals might use this once, but lawyers could use it repeatedly. -How much do I need to worry about legal liability for the output? I have disclaimers everywhere but still Anyway, it's live: https://exitprotocols.com. Would love feedback, especially if you've dealt with this problem before or know the family law space.
Does the same job
all alternatives →- R5Replacing $50k manual forensic audits with a deterministic .py engineMar 2026 · ▲5
I’m a software architect, and I recently built Exit Protocol (https://exitprotocols.com), an automated forensic accounting engine for high-conflict litigation. Problem: If you get divorced and need to prove that a specific $250k in a heavily commingled joint bank account is your "separate property" (e.g., from a pre-marital startup exit), the burden of proof is strictly mathematical. Historically, this meant paying a forensic CPA $500/hour to dump years of blurry bank PDFs into Excel and manually trace every dollar. It takes weeks and routinely costs over $50,000. I looked at…
- IQI quit coding years ago. AI brought me backJan 2026 · calquio.com · ▲314
Quick background: I used to code. Studied it in school, wrote some projects, but eventually convinced myself I wasn't cut out for it. Too slow, too many bugs, imposter syndrome — the usual story. So I pivoted, ended up as an investment associate at an early-stage angel fund, and haven't written real code in years. Fast forward to now. I'm a Buffett nerd — big believer in compound interest as a mental model for life. I run compound interest calculations constantly. Not because I need to, but because watching numbers grow over 30-40 years keeps me patient when markets get wild. It's basically…
- WIWrite It Down – Personal finance trackerOct 2025 · write-it-down.com · ▲271
Everyone’s chasing AI hype. I built a Google Sheet and it quietly took off. In 2020, I made it to track my own finances for income, expenses, savings, yearly summaries etc. I shared it once on Reddit, forgot about it for a year… When I checked back, it had over 130k views and I was honestly stoked! No launch. No funding. No AI. Just a spreadsheet people actually stick with and find useful. I finally gave it a proper home: write-it-down.com Now, more than 2,300 people use it. It’s intentionally boring and that’s why it works. People don’t always need AI. They just need something that actually…
- LW"LawyerClock" - watch your cash burn during meetings2011 · lawyerclock.com · ▲18
Hey everyone. I'm a founder of a Boston based, venture backed startup, unrelated this this link. One of my business partners and I coded this website DURING long and painful meetings with our attorneys as a way to pass the time. We racked up over $100k in legal bills through a couple fundraising and legal hurdles. This is the website that resulted from that time.<p>We'd love your feedback for version 2.0. Thanks!
- UMUsing mkdir to track financial transactions2023 · github.com · ▲8
I've been exploring uses of file metadata. Here's an interesting one with a legitimate (and potentially unreliable) use case. Focuses on ease of use. Would love to hear feedback.
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Community, All the HN belong to you. This is an archive of hacker news that fits in your browser. When I made HN Made of Primes I realized I could probably do this offline sqlite/wasm thing with the whole GBs of archive. The whole dataset. So I tried it, and this is it. Have Hacker News on your device. Go to this repo (https://github.com/DOSAYGO-STUDIO/HackerBook): you can download it. Big Query -> ETL -> npx serve docs - that's it. 20 years of HN arguments and beauty, can be yours forever. So they'll never die. Ever. It's the unkillable static archive of HN and it's…
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