Alternatives
Products that do what LOGICAFFEINE does
Compile English to Rust
- 1
- 2AS
2019 · github.com
- 3WM
We wrote our inference engine on Rust, it is faster than llama cpp in all of the use cases. Your feedback is very welcomed. Written from scratch with idea that you can add support of any kernel and platform.
2025 · github.com
- 4AI
2017 · github.com
- 5VA
Wrote this to learn more about the `chumsky` parser combinator library, rustyline, and the `ariadne` error reporting crate. Such a nice DX combo for writing new languages. Still a work in progress, but I thought I'd share :)
2025 · github.com
- 6LA
Hi HN, I made Lingo - the SQLite of semantic search. I'm a self-taught developer and researcher who left school at 16, and I've spent some time exploring a first-principles approach to system design for various frontier problems. In this case it's AI that challenges the 'bigger is better' transformer paradigm. Lingo is the first piece of that research, a high-performance linguistic database designed to run on-device. The full technical overview and manifesto is here: https://medium.com/@robm.antunes/bcd1e9752af6 The paper has been archived on Zenodo with a DOI:…
Sep 2025
- 7AE
2021 · github.com
- 8AE
2025 · github.com
- 9PC
2015 · prolog.jldupont.com
- 10BL
2019 · github.com
- 11BA
I am a Dutch high school student and last year I had to do a large project of my own choice. Together with two other guys I decided to do a project about digital logic. We had an ambitious plan: building an 8-bits computer. At that time I started learning programming and I already knew some HTML and CSS. So we decided to not build a physical computer, but one running in a self-built simulator. I was going to build the simulator, the other guys took care of the computer. I was hard, our school hadn't taught us anything about computers and programming so we had to learn everything ourselves.…
2017
- 12HT
2018 · github.com
- 13AS
This is a hobby project of mine that I started a few years ago to learn about programming language implementation. It was created 95% without AI, although a few recent commits include code from Gemini CLI. I started out following Crafting Interpreters, but gradually branched off that until I had almost nothing left in common. Tech stack: Rust, Cranelift (JIT compilation), LALRPOP (parser). Original title: "A small programming language where everything is a value" (edited based on comments)
Jan 2026 · github.com
- 14
Turn any tech doc into a speaking drill, scored by AI
Apr 2026 · ignite-lp.vercel.app
- 15RM
2021 · hexdocs.pm
- 16AC
2010 · pyxc.org
- 17TA
2025 · gist.github.com
- 18AS
2018 · lukaslueg.github.io
- 19TT
You can see some examples here: https://github.com/tsoniclang/proof-is-in-the-pudding And a hugo clone (which compiles to native code) here: https://github.com/tsoniclang/tsumo Linux and macOS for now.
Jan 2026 · tsonic.org
- 20IW
Background: I've been working on a book to help developers learn and write idiomatic Python. It's taken far longer than I imagined, but today I made it available for purchase (http://www.jeffknupp.com/writing-idiomatic-python-ebook). The automated build and test system I'm using is ridiculous. It uses: virtualenv, tox, pytest, coverage, doctest, pandoc, make, xelatex, makeindex, and a ~200 line Python script to collect and format the output. The details of the build/test system I created are described in detail here:…
2013
- 21EA
2021 · github.com
- 22NL
Hey folks, I just wanted to share a quick script I threw together called notational ls. One of the big problems of any code base (or any filesystem) is that it's hard to tell what's what - folder and file names often trade brevity for clarity. So I thought about a version of `ls` that works like this: > nls web: Where python web server files are stored ad_hoc: One time scripts ios: Our IOS code images Adding descriptions is really easy too: > nls images Images SHARED between both ios and web web: Where python web server files are stored ad_hoc: One time scripts ios: Our IOS code…
2011
- 23BA
2018 · lambdaway.free.fr
- 24SN
Hi guys, I've been thinking a lot about how advancements in NLP can be standardized; when building a sentiment analysis, you know for sure that other attributes than the actual sentiment can be highly interesting, such as the urgency. Together with my team, I started a new open-source project, aiming to do exactly that. It's called bricks, and it is a composition of more than 50 open-source and modular code snippets, such as computing sentence complexities, emotionality detection and many more. For context, the idea came up after watching the incredible talk "Inventing on Principle" by Bret…
2022 · bricks.kern.ai
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