
Podscape
A beautiful Kubernetes desktop app for engineers
What it does
Podscape is a free, open-source Kubernetes desktop app for macOS, Windows & Linux. • Browse 27+ resource types with live filtering • Stream logs, exec into containers, forward ports • Manage Helm releases & GitOps resources • Auto-detects Istio, Traefik & NGINX • RBAC-aware — hides what you can't access • Network topology graph built in
Does the same job
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- KSKubernetes Spec Explorer2024 · kubespec.dev · ▲216
I built an interactive explorer for Kubernetes resources spec A few things included: - Tree view with schema, type and description of all native resources - History changes since version X (properties added/removed/modified) - Examples of some resources that you can easily copy as a starting point - Supports all versions since X, including the newly released 1.32 - I also want to add support for popular CRD, but I’m not sure how I’ll do that yet, I’m open to suggestions! Everything is auto generated based on the OpenAPI spec, with some manual inputs for examples and external links.…
- KAKonstellate – An Open Source GUI to Visualize Kubernetes Applications2019 · github.com · ▲133
- GFGo from Docker-Compose to Kubernetes with a simple tool2017 · kompose.io · ▲249
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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
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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


