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Limabean

a new implementation of Beancount in Clojure/Rust

Details

External ID
47239083
Source
HN
Company
—
Product
Limabean
Website domain
github.com
Launched
March 3, 2026
Cohort
—
Upvotes
5
Upvotes percentile
0.1070110701107011
Tags
—
Fetched at
Sept. 7, 2026, 9:26 p.m.
Updated at
Sept. 7, 2026, 9:26 p.m.

Description

I created this project for my own use, and as a means to develop proficiency in Rust and Clojure. It is now at the stage where it could be useful for others, and my intention is to further develop it so it becomes increasingly useful. I am really enjoying being able to query my accounts from a Clojure REPL.And despite the current prevalence of AI code-generation, this was created by my own bare hands, quite slowly. All feedback welcome, most especially from anyone trying it out.

Enrichment

Theme
low-level systems and developer tools
Vertical
Fintech
Function
Dev tools
Audience
Developer
AI stance
Not AI
Project type
Hobby / open-source project
Normalized one-liner
accounting software implementation
Manually corrected
False

Could you build this?

Partial While the basic CLI and data structures for double-entry bookkeeping can be scaffolded, correctly implementing the full Beancount specification requires complex booking algorithms, inventory lot resolution, and formal query language parsing.

What it would actually take: A production version requires an AST parser for Beancount's plain-text grammar, an exact-precision decimal arithmetic ledger engine, and complex inventory matching algorithms (FIFO, average cost lot tracking). The implementation typically relies on Rust for performance and memory safety, with foreign function bindings or a Clojure host for the interactive query REPL. Developing and validating these accounting invariants against edge cases requires specialized domain expertise in accounting mechanics and formal language parsers.

Discussion

No comments on this launch.

Competitors

Other products that read as similar to this one — 88 launches clear the similarity bar, closest 8 shown.

Attention rank: #81 of 89 (itself plus its competitors, highest first — normalized so YC and Product Hunt are compared fairly).

Launched 123 days after the earliest competitor.

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