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Business software Colabs venturePre-launch

LearnLedger — Local-First AI Bookkeeping

Bookkeeping assistance that runs on the user's own machine rather than in someone else's cloud.

What we set out to build

To give small operators AI bookkeeping help without their financial records leaving their control.

What was built

  • A local-first architecture with a static-export front end
  • A white-list launch model rather than an open signup
  • Waitlist and environment configuration built for a staged rollout

What it achieves

  • Financial data stays on the user's machine by design, which is a claim the architecture supports rather than a promise in a privacy policy
The hard part: Local-first sounds like a constraint until you try to ship it: every convenience that normally comes from a server has to be rebuilt or given up deliberately.

The stack

Next.js, TypeScript.

Common questions

How was this built?

This was built through Colabs, our sister company. A founder brought the idea and the domain knowledge, Colabs brought the team, the founder funded the build with a monthly subscription, and they hold equity in the company that resulted. We label every case study, because a studio that publishes its prices and argues the other side of its own comparisons has to be equally precise about its own portfolio.

What state is it in?

Pre-launch. We state that plainly rather than describing everything as production: several things here are deliberately gated, and the reason is usually evidence rather than a missing feature.

Can you build something like this for us?

That is the point of publishing it. The same patterns are in the catalogue at published prices, and you can scope your own version on the plain-English page without contacting us first.

Where to next

If something here is close to what you need, the same patterns are in the catalogue at published prices, or you can describe your version in plain English and get it scoped and priced without talking to anyone.

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Other business software work

Built with the same discipline, in the same domain.

Want something like this built?

The catalogue prices the patterns behind this work. Describe your version and the engine will scope it, including an allowance for anything nobody has costed.