Alternatives
Products that do what Lunar, a "fast", memory-efficient Lua 5.1 VM written in Go does
I'm releasing Lunar, a new Lua 5.1 compiler and virtual machine written entirely in Go. It includes the standard libraries, coroutines as well as supporting Lua 5.2-style goto. The embedding API avoids the Lua C API’s stack-based interface in favor of typed Go values and callback frames. Libraries and script-file access are opt-in, so the host explicitly controls what Lua code can access. On my current benchmarks and use-cases, Lunar is often ~1.5x to 2x faster than GopherLua and Shopify’s go-lua. Its largest improvement however is memory use: loading a 9 MB CBOR-derived object graph…
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Hi all! Sharing a small pet project my agents and I have been working on: Lunar, a coding harness configurable and extensible via Lua scripts. I'm already using Lunar to develop Lunar :) Give it a try! Soon you will be able to extend it using Lua hooks.
16d ago · github.com
- 4MF
2017 · github.com
- 5LA
LunaRoute is a high-performance local proxy for AI coding assistants like Claude Code, OpenAI Codex CLI, and OpenCode. Get complete visibility into every LLM interaction with zero-overhead passthrough, comprehensive session recording, and powerful debugging capabilities. - See Everything Your AI Does - get full logs (JSONL), summary of sessions including tokens used (input/output) as well as tools usage and success rates. - Privacy & Compliance Built-In - redact or tokenize any sensitive information (regex based). - Speaks OpenAI and Anthropic dialects so you can route (and translate)…
Oct 2025 · github.com
- 6GA
2017 · github.com
- 7AC
2015 · github.com
- 8M3
2018 · kbrsh.github.io
- 9IW
Hi HN! During the last few years, I worked on a few applications built with Go, running on AWS Lambda. As I got to know the platform better, I started to find Go & Lambda to be a really productive combination. The applications were fast, and they ended up being much cheaper to run than what my team & I had built before. It’s probably not the best platform for _every_ application, but I was surprised at how much of our workload worked well on it. As we brought new engineers on to our team and helped them get up to speed with the stack, I found that we were covering a lot of the same topics…
2021
- 10LL
2018 · github.com
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Run huge MoE models from a swarm of peers, with the colibri engine. Pure C. - JustVugg/lumabri
23d ago · github.com
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I built LunarBasic because I wanted a modern recreation of BlitzBasic from back in the day. I wanted it to have good step debugging features, and I wanted it to compile down to a native binary with no external dependencies. I do know there's an open source BlitzBasic out there but I wanted something simpler and more concise. It does have a "pro" feature set, but for the foreseeable future, anyone joining up will have the pro version in perpetuity (eg I'm not trying to sell anything here). It's early (v0.8.0). Would love feedback on the language design and compiler output, especially from…
13d ago · lunarbasic.com
- 13LB
2015 · github.com
- 14IW
2020 · github.com
- 15LO
Hey HN! I built Lumina – an open-source observability platform for AI/LLM applications. Self-host it in 5 minutes with Docker Compose, all features included. The Problem: I've been building LLM apps for the past year, and I kept running into the same issues: - LLM responses would randomly change after prompt tweaks, breaking things - Costs would spike unexpectedly (turns out a bug was hitting GPT-4 instead of 3.5) - No easy way to compare "before vs after" when testing prompt changes - Existing tools were either too expensive or missing features in free tiers What I Built: Lumina is…
Jan 2026 · github.com
- 16MA
I've been working on training this small vision language model for the last month - excited to release the first prototype today! It is based on SigLIP (image encoder), Phi-1.5 (text model) and trained using the LLaVa-1.5 training dataset. It runs reasonably fast on CPU with ~8GB of RAM in full 32-bit precision. There's plenty of room to speed it up and reduce memory consumption by quantizing the model. I posted a video of it running on my M2 Macbook Air (on CPU not MPS, so performance should be comparable on other hardware) on Twitter to demonstrate inference speed:…
2023 · github.com
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We’re building an open-source language layer on top of Go, designed specifically for COBOL-style workloads: Native decimal arithmetic (COBOL-accurate) Record structures and copybook compatibility Batch jobs and transactional orchestration as first-class constructs Sequential / indexed file I/O baked into the runtime Compiles through Go for speed, concurrency, and cloud deployability Think of it as Kotlin for COBOL, or “COBOL on Go” familiar to mainframe engineers, powerful for modern developers. Test Results so far: NIST COBOL-85 validation: 77.61% overall (305/393 tests) NC…
Nov 2025 · github.com
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I built a specialized package of DeepSeek V4 Flash 0731 (originally 284B total parameters, 13B active), preserving reasoning, tool calling and coding capabilities: https://huggingface.co/steadfastgaze/DeepSeek-V4-Flash-0731-... I let it write a minimal C compiler targeting ARM64, then test the result with Fibonacci and FizzBuzz programs, and it succeeded in less than 1 hour, with the full recording at: https://youtu.be/XiwSilmV8B0 You can run it on Silicon Macs with my engine https://github.com/steadfastgaze/MoEspresso, while one of the…
21d ago · huggingface.co
- 19MA
2017 · medium.com
- 20AC
2020 · github.com
- 21AM
I recently finished a round of tweaks on my barebones mud-server and thought HN might be interested. https://github.com/endgame/MudCore It sits somewhere between socketmud and a full mud like tbamud in that it handles all the socket work and telnet negotiation, but it makes no assumptions about anything else. The other interesting thing is that it can talk to other services using ZeroMQ. I'm interested in reactions, particularly in terms of coding style, documentation quality and so on. It's my main "presentation piece" so far, in that it's some of the first code I actually feel proud to…
2012
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I've spent the past couple of weeks building a Wasm-to-Go translator. It supports a subset of Wasm useful enough to translate SQLite into 600k LoC (~20 MiB) of Go code. It already passes all of my Go SQLite driver's tests across the 20 platforms I support. Performance compared to https://wazero.io/ is a bit of a mixed bag: code that frequently crosses the Go-Wasm boundary improves, but code that spends most of its time in "Wasm land" doesn't. There's probably room for improvement (I'd love to hear your ideas), but this is also a testament to how good the wazero AOT compiler…
Feb 2026 · github.com
- 23LI
Hey HN! We built Lunon to make LLM development way less of a headache. Ever wanted to see how different models handle the same prompt without all the setup hassle? That's what we fixed. Our API lets you compare Claude, GPT, Mistral and others in real-time with just a few lines of code. No more complex infrastructure or managing multiple API connections - we handle all that boring stuff behind the scenes. Plus, you can cut costs by intelligently routing requests to the right model for each task. Use the powerful (expensive) models only when you really need them. If you're building with LLMs…
2025 · lunon.com
- 24LM
2015 · github.com
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