# composo-ai/DishwasherBench > A browser game about loading a dishwasher, built on a physical simulation of a real Bosch machine to benchmark language models. Players load dishes, run the Eco 50 programme and score points for items that come out clean. - Magnitude: 3.1 out of 10 — Steady - Stars: 30 total · +16 stars measured 2026-10-13, 10:07–12:30 UTC, ≈ 24 by evening - Star trust: star growth looks organic - Category: Language models · Language: TypeScript · License: MIT · Created: 2026-10-12 · Last push: 2026-10-12 - GitHub: https://github.com/composo-ai/DishwasherBench · Homepage: https://composo.ai · Page: https://gitnova.dev/en/r/composo-ai/DishwasherBench ## Useful for - Play the Spotless browser game and load dishes into the dishwasher simulation - Run a language model through the MCP server and compare its scores with reference loads - Verify a loading episode by replaying it and re-running the wash ## Why it’s here - Star-counter measurements on 2026-10-13 (UTC), 10:07–12:30: 14 → 30 stars (+16). This is the change over that interval. - Estimated end-of-day forecast: about +24 stars, using observed gains and the previous day. - The repository is 1 day old and already has 30 stars. With less than two weeks of history, there's no usual pace to compare the spike against yet. - Hacker News: “DishwasherBench – Can Frontier Models Stack a Dishwasher?” — 57 points, 4 h ago. ## Star trust Star growth looks organic. Star-trust labels are heuristics based on the repository’s behavior, not a check of every stargazer. ## Numbers - Forks: 1 - Issues and pull requests: 58 - Watchers: 0 - Average over the last week: 12 per day - Usual pace: too little history (under two weeks) - Stars in the last hour (measured): 3 ## Stars per day, last 2 days (oldest → newest, today is partial) 2026-10-12 … 2026-10-13: 0, 16 ## Hacker News - DishwasherBench – Can Frontier Models Stack a Dishwasher? — 57 points, 29 comments: https://news.ycombinator.com/item?id=50068437 ## Spotted in now - Spotted on Hacker News ## More in this category 1. **open-webui/open-webui** — 7.9 · Breakout · Language models · Python · +549 stars measured 2026-10-13, 00:02–12:25 UTC, ≈ 1,025 by evening Open WebUI is a self-hosted web interface for AI models via Ollama and OpenAI-compatible APIs, with RAG, plugins, agents, and team collaboration. Full card: https://gitnova.dev/en/r/open-webui/open-webui.md 2. **lyogavin/airllm** — 7.7 · Breakout · Language models · Jupyter Notebook · +481 stars measured 2026-10-13, 00:01–12:25 UTC, ≈ 931 by evening A library for inference and training of large language models on low-VRAM GPUs: it streams weights layer by layer from disk, letting 70B–671B models run on 4–12 GB of VRAM without quantization or distillation. Full card: https://gitnova.dev/en/r/lyogavin/airllm.md 3. **microsoft/BitNet** — 6.9 · Breakout · Language models · C++ · +185 stars measured 2026-10-13, 00:02–12:25 UTC, ≈ 342 by evening Official inference framework for 1-bit LLMs (BitNet b1.58) with optimized kernels for CPU and GPU. Runs ternary models fast and losslessly, including a 100B model on a single CPU. Full card: https://gitnova.dev/en/r/microsoft/BitNet.md 4. **prabanta-dev/janas** — 6.9 · Early signal · Language models · C · +185 stars measured 2026-10-13, 01:25–12:25 UTC, ≈ 296 by evening Janas is a family of AI tools in C with no dependencies. Janas-LLM runs large MoE models (up to 80B, 48 GB) on a 32 GB laptop by streaming experts from NVMe SSD, and outperforms llama.cpp on all 13 tested models. Full card: https://gitnova.dev/en/r/prabanta-dev/janas.md 5. **mw00/project-maya** — 5.1 · Early signal · Language models · C++ · +52 stars measured 2026-10-13, 00:02–12:26 UTC, ≈ 109 by evening Local engine, server and dashboard to run the 321B MoE model GLM-5.3-Flash on one or two NVIDIA GPUs, offloading experts to RAM and NVMe. Full card: https://gitnova.dev/en/r/mw00/project-maya.md --- Magnitude (0–10) measures how fast and how unusually interest in a repository is growing right now. It is not a quality score. Days are UTC. “So far today” is a fact; “expected by the end of the day” is a forecast. Summaries and use cases are written by an LLM (DeepSeek V4.1 Flash) from the README and may be inaccurate: verify specific claims (benchmarks, speed, hardware) in the repository itself. Data as of 2026-10-13 12:43 UTC, updated every 30 minutes.