NomiESB
.NET, Kubernetes-first, ESB built for the next decade.
What it does
The unified integration platform for modularNET applications, Kubernetes-native, built by people who actually runNET in production. Legacy ESBs ship proprietary runtimes, lock-in, and a team to babysit them. NomiEsb is light - pureNET modules, your Git, your Kubernetes, your identity. Developers build and maintain modules straight from their IDE. Operations deploys and manages the infrastructure through Git and ArgoCD. Management sees the whole estate live through NomiEsb Lens.
Does the same job
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Hi HN! We’re Yann, Edouard, and Bastien from Koyeb (https://www.koyeb.com/). We’re building a platform to let you deploy full-stack apps on high-performance hardware around the world, with zero configuration. We provide a “global serverless feeling”, without the hassle of re-writing all your apps or managing k8s complexity [1]. We built Scaleway, a cloud service provider where we designed ARM servers and provided them as cloud servers. During our time there, we saw customers struggle with the same issues while trying to deploy full-stack applications and APIs resiliently. As…
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Hello HN, we're Philip and Louis from Glasskube (https://github.com/glasskube/glasskube). We're working on an open-source package manager for Kubernetes. It's an alternative to tools like Helm or Kustomize, primarily focused on making deploying, updating, and configuring Kubernetes packages simpler and a lot faster. Here is a demo video (https://www.youtube.com/watch?v=aIeTHGWsG2c#t=17s) with quick start instructions. Most developers working with Kubernetes use Helm, an open-source tool created during a hackathon nine years ago. However, with the rapid…
- OYOwn your Kubernetes: installation, addons, best practices – as code2019 · github.com · ▲122
More ai this month
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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, 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