MLX
AI product · last in the top 20 on Sep 19 · first seen Aug 28 · peak 25 on Aug 28 · 2 days in the top 20 · first trended Aug 28
Days in the top 20
| Day | Rank | Score | |
|---|---|---|---|
| Sat, Sep 19GitHub 1 | 11 | 19 | GitHub 1 |
| Fri, Aug 28GitHub 1 | 6 | 25 | GitHub 1 |
Trend score by day
Dots are days in the top 20; a ringed dot is a day at number one.
What carried it
- GitHubmizorewww/laya-mlx: Native MLX runtime for Laya typed decision models, 7–14 ms short decisions on M3 Max. No text generation, PyTorch, or cloud API.Sep 19 · 5,981 stars
- GitHubcarloslfu/slotstream: Run a 105 GB AI model on a 48 GB Mac. Qwen3.8-Flash-Next (125B mixture of experts) streams its experts from SSD through a slot cache. Native Swift on MLX and Metal: one binary, nAug 28 · 391 stars
About
Where it was mentioned
- GitHub2 mentions
Named alongside
Apple M3 Max, Mac, PyTorch, Qwen3.8 Flash, Python, Ollama, OpenAI
Sources: Hacker News, Reddit, YouTube, GitHub, Wikipedia pageviews, Google News, Bluesky, Mastodon, Hugging Face, arXiv, Product Hunt and Google Trends, read daily. X and LinkedIn are not covered (no free API). Trend scores come from public engagement signals on the sources shown. Logos via logo.dev; trademarks belong to their owners.