Superkube - Rewriting Kubernetes in Rust
I have embarked on a journey of rewriting Kubernetes into a single binary in Rust, with everything embedded. Architecturally, instead of etcd, it has options to use SQLite or PostgreSQL as a backend. I am trying to make it compatible with Kubernetes APIs, and kubectl should just work out of the box. This is not 100% ready yet, but I just wanted to show the first look. It is almost 90% AI-generated. Claude code with Opus 4.7 is being used here. It should just work out of the box on macOS with Docker as runtime.
Does the same job
all alternatives →- GFGo from Docker-Compose to Kubernetes with a simple tool2017 · kompose.io · ▲249
- LZLocalkube – zero to Kubernetes 1.2 in one command2016 · github.com · ▲173
- AEAn example GraphQL server written in Rust2020 · github.com · ▲74
- SOStackGres: open-source Postgres-aaS on Kubernetes with 120 Extensions2021 · stackgres.io · ▲54
- KAKuberian, a search engine for the Kubernetes source code2024 · kuberian.pages.dev · ▲6
Toy project running on Google Cloud Run. 200K req/month. $0.5/month. with Rust
More ai this month
the category →
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, May 2026
the whole month →
Parallel agents, diff reviewer, and multi-model comparisons
Dev tools · May 2026 · kilo.ai
- NW
Hey HN, Henry here from Cactus. We open-sourced Needle, a 26M parameter function-calling (tool use) model. It runs at 6000 tok/s prefill and 1200 tok/s decode on consumer devices. We were always frustrated by the little effort made towards building agentic models that run on budget phones, so we conducted investigations that led to an observation: agentic experiences are built upon tool calling, and massive models are overkill for it. Tool calling is fundamentally retrieval-and-assembly (match query to tool name, extract argument values, emit JSON), not reasoning. Cross-attention…
Life & fun · May 2026 · github.com
- FM
Dev tools · May 2026 · github.com