Mardii
Know when your AI providers change the rules
What it does
Mardii is the intelligence layer for the AI economy. We monitor OpenAI, Anthropic, Google, Mistral and more — tracking pricing updates, rate limit changes, model deprecations, policy rewrites, and silent API shifts. Every change is classified (breaking, major, minor), scored with AVRS reliability metrics, and explained before it impacts your product or costs you money. If you build on AI, you shouldn’t be the last to know when the rules change.
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- AegisoraAug 2026 · aegisora-ai.vercel.app · ▲93
The narrow control plane for AI agent tool and API calls.
- MCMarmot, context layer for agents and humansJun 2026 · marmotdata.io · ▲17
Hi HN, Bruno here, one of the two people building this. For years we got away with poor context because people fill gaps. If you didn't know what a column meant or where a database lived, you asked someone. You knew who to go to. That informal layer, who to ask and what things mean, carried us for years. Agents can't do that. An agent only knows what you hand it. It doesn't ask, it guesses. So what people carried in their heads now has to live somewhere a machine can reach: what your data is, what it means, who owns it, what it connects to. Concretely, Marmot is a catalog. It catalogs your…
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I trained a 125M-parameter transformer to autocomplete piano performances in real time (~108 notes/sec on an iPhone 15). The idea is basically GitHub Copilot or Tabnine, except instead of prompting it with code, you prompt it by playing a few notes on a MIDI piano. The model then continues what you played, entirely on-device. The app is free if anyone wants to try it. Happy to answer questions about the model, training, Core ML, or the many things that didn't work.
AI · 17d ago · simedw.com
Astute▲585Automate your B2B brand going viral, with new media creators
AI · 18d ago · company-app.joinastute.com
Hey HN, Henry from Cactus here! We previously released Cactus Needle, a 14MB agentic LLM for tool call, device use, and structured extraction for phones, wearables, smart homes, small robots and microcontrollers. We got really great feedback here, and have now incorporated the suggestions to release Needle 2. The whole model is a single 14MB binary that runs a full session in 28MB of RAM; 45m parameters at 2bit compression. Needle hits 500 tokens/sec decode speed on a Raspberry Pi 5, sits between 400-1,500 tokens/sec on VR devices like Meta Quest 3S and Apple Vision Pro, and ranges…
AI · 27d ago · cactuscompute.com
Launched alongside, March 2026
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Switch from ChatGPT to Claude with import memory feature
AI · Mar 2026 · claude.com
