Launching Conifer tomorrow, an open-source local AI runtime + IDE. Different layer of the stack from PewDiePie's Odysseus, would love your honest thoughts

Great to see Odysseus blow up this past day, local AI getting this much attention is genuinely good for everyone building in this space. Figured this is the right crowd to share what we're launching tomorrow (June 1st), since we're playing a pretty different game. A quick framing: Odysseus is a self-hosted workspace that points at engines (Ollama, llama.cpp, vLLM, cloud APIs) and runs through Docker. Conifer is the engine itself, with our own runtime, running natively on Mac, Linux, and Windows. So we're the layer underneath, not a competitor to the workspace. What's actually in it tomorrow: * A native inference runtime across Mac, Linux, and Windows, with our own Metal engine for Apple Silicon already matching or beating llama.cpp on a few models on the M3 Max (full benchmarks, including where we're still behind, are at conifer.build/benchmarks) * A real coding IDE on top (CodeMirror, integrated terminal, file viewers), so you can code locally with models that never leave your machine * Typhoon, a local agent that can read and edit a folder you point it at, kernel-sandboxed rather than just a shell with a warning * Install is a signed app you double-click, no Docker, no localhost ports * Fully free and open source The honest reason we exist: PewDiePie's wave defined "local AI" in millions of people's heads as Linux + Docker + an NVIDIA rig. If you weren't on that exact setup, the conversation probably felt like it skipped you. Conifer is what local AI should feel like when it's actually native to your machine, whatever your machine is. Launches tomorrow, free and open source like PewDiePie! You can sign up for our waitlist here: [conifer.build](https://www.conifer.build/) I'll be around in the comments all day tomorrow, please bring the hard questions.