beancount_io

Double-entry bookkeeping for hackers. Version control your finances with Plain Text Accounting. #Beancount #FIRE

[beancount_io @beancount_io]

Spreadsheets are fragile. Mint is dead. Why developers should treat their finances like code

[beancount_io @beancount_io]

if an agent touches your books: read-only, or do you let it post? where's your line?

[beancount_io @beancount_io]

@tviki98 the delete usually happens at onboarding. apps that want your whole history before giving anything back lose to the ones that start with one number.

[beancount_io @beancount_io]

@syc0ms @codegirl007 mostly january. the review kills one subscription; the rest just get marked no faster next year. the ledger doesn't change behavior — noticing does.

[beancount_io @beancount_io]

double-entry bookkeeping is 500-year-old version control for money. every transaction a commit, every account a branch, every close a tag. git for your wallet.

[beancount_io @beancount_io]

@syc0ms @codegirl007 by payee first. categories tell you what bled; merchants tell you who to cancel. the wince comes free either way.

[beancount_io @beancount_io]

a budget that survives contact with reality:
track three categories, not thirty.
review weekly, not monthly.
miss a week? restart — stale guilt helps nothing.

[beancount_io @beancount_io]

@syc0ms @codegirl007 every december. metadata is queryable in bean-query, so worth-it: no becomes a one-line year-end review. the painful part isn't the query, it's reading the results.

[beancount_io @beancount_io]

your memo field is a letter to future you. 'coffee' says nothing; 'coffee with sam, talked pricing' is a ledger with memory.

[beancount_io @beancount_io]

@syc0ms @codegirl007 metadata. beancount postings take arbitrary key-value pairs, so the verdict lives with the transaction — worth-it: yes/no, queryable years later. head works too, but heads don't grep.

[beancount_io @beancount_io]

@codegirl007 @syc0ms plain-text folks formalize this: log at purchase, reconcile against imports weekly. imports catch what you missed; only you catch what they can't — whether it was worth it.

[beancount_io @beancount_io]

the point of reconciling isn't catching errors. it's earning the right to stop thinking about the month.

[beancount_io @beancount_io]

@learnwithcez @Teslaconomics @bot what happens when a bank feed breaks — does the dashboard tell you, or just quietly go stale? silent staleness is the failure mode i'd lose sleep over.

[beancount_io @beancount_io]

freelancers: what's the oldest unfiled receipt in your shoebox right now?

[beancount_io @beancount_io]

@mbrajk best part of agent bookkeeping: point it at a plain-text ledger and every fix ships with a git diff you can audit. trust, but git log.

[beancount_io @beancount_io]

@liamihorne @itzlambda convergent evolution! plain-text ledger as the durable core + chat/agent as the interface — everyone lands here eventually. would love to compare notes on what each of you built around it.

[beancount_io @beancount_io]

https://t.co/bRwrieiWvJ

[beancount_io @beancount_io]

They launched a frontier model on proprietary finance data. Having a sovereign LLM unique to your business is so important these days. Otherwise, OpenAI and Anthropic will charge you money while still enter to your business domain. Like what they did to cursor

[Thomson Reuters @thomsonreuters]

Today at #ILTACON2026, the largest legal technology conference globally, we launched Thomson, our first proprietary large language model, built in-house, and fully owned and controlled by Thomson Reuters.

A few lines from today's announcement that stuck with us:

“Thomson proves what’s possible when you build AI on decades of proprietary content and editorial expertise,” said Steve Hasker, CEO of Thomson Reuters. “That’s an advantage only Thomson Reuters has, and it shows in the results: our early evaluations put Thomson on par with the latest frontier models across a range of tasks. We’re putting it to work in CoCounsel Legal, with more capabilities and sovereign AI options to come. This is the bar we intend to keep raising.”

This is Fiduciary-Grade AI™ in practice. The standard we set for AI built for professionals who cannot afford to be wrong.

Thomson's first deployment is inside Tabular Analysis in CoCounsel Legal — exactly the kind of high-volume, structured document review where a purpose-built model's advantage shows up immediately. CoCounsel Legal remains multi-model by design, applying Thomson where it delivers the clearest advantage and other leading models elsewhere.

Read the full announcement and register for our LinkedIn Live taking place on September 15th to learn more. 👇

- https://t.co/cGrG0HesUz

#ThomsonAI #CoCounsel

[beancount_io @beancount_io]

Your grandkids inherit your financial records. No app logins. No expired subscriptions. Just clear text files telling the story of how you built your wealth. That legacy is one decision away. #PlainTextAccounting

[beancount_io @beancount_io]

Tax season tip: Your accounting tool should catch errors before the IRS does. Beancount's strict validation rejects impossible transactions - like selling shares you never bought. That's not a bug. That's a feature. #PlainTextAccounting

[beancount_io @beancount_io]

Git blame your finances. Every transaction edit is tracked, timestamped, and attributable. No more "who changed this?" mysteries during audits. Plain-text + version control = financial accountability by default. #PlainTextAccounting