luckrig: a concept for tasting LLM rigs, not just models
HuggingFace Spaces lets you try models.
LMSys Arena lets you compare models.
Neither lets you try a specific rig.
Exact GPU. Exact quantization. Exact context length.
Someone's actual tuning notes — with your own prompt, right now.
That's the gap. luckrig is a concept to fill it.
If Arena maps models, luckrig maps the rigs.
| Service | What you taste | Hardware visible? |
|---|---|---|
| HF Spaces | Author's model wrap | Whatever they printed |
| LMSys Arena | Blind A/B models | Model name. Nothing else. |
| AI Horde | Any worker that fits | Abstracted away |
| luckrig | A specific rig | GPU · quant · ctx · tuning |
AI Horde abstracts the worker away.
luckrig makes the hardware the star.
Access earned by contribution, not money.
Inspired by Hotline Connect — the early-2000s Mac P2P tool where
contribution score, not payment, determined access rights.
Register a node → write tuning notes → upload timing measurements.
That's how you earn access to other people's rigs.
Three seed nodes exist in the POC — not yet public.
- first-5090-qwen3 — RTX 5090, Qwen3-35B-A3B, Q4_K_XL, 267 tok/s
- weekend-m3max — Apple M3 Max, Qwen2.5-14B, Q5_K_M
- shed-pi5 — Raspberry Pi 5, llama3.2-1B, 2.3 tok/s
These are local test nodes to demonstrate the concept.
Looking for early contributors who want to register a real node.
Rarity-first, not leaderboard.
The Pi node ranks higher than the 5090 because it's rarer.
Not a speed competition — a showcase of diversity.
Working POC. No external dependencies.
git clone github.com/prospectorlabs/luckrig
cd luckrig
npm start
→ http://127.0.0.1:8787
Concept + full spec + working code, all open.
https://github.com/prospectorlabs/luckrig
https://prospectorlabs.dev/luckrig/
