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Radar

The missing open-source Kubernetes UI

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Radar brings your Kubernetes workflows into one fast, open-source UI: real-time topology, resources, events, Helm, GitOps, live traffic flows, security & best-practice checks, image filesystem inspection, and MCP for AI agents. Run it locally as a single binary or self-host it in-cluster with RBAC + OIDC — no account, agents, or cloud required.

PH · launched May 3, 2026 · 398 upvotes (top 19%) · 0 views

Niche: cloud infrastructure and development platforms · 74 launches, 6 in the last 7 days · Explore this niche →

Category and tags
  • Horizontal
  • Dev tools
  • Developer
  • Not AI
  • Hobby / open-source project
  • Open Source
  • Developer Tools
  • Artificial Intelligence
  • GitHub

Visit website ↗ Source listing ↗

More like this: all 74 launches in cloud infrastructure and development platforms →

Could you build this?

Partial While an Electron or web UI with an embedded MCP server and basic K8s API queries can be vibe-coded, features like real-time topology rendering, live traffic flows, container filesystem inspection, and cluster audit checks require deep Kubernetes internals and systems programming.

What it would actually take: A production version requires a Go backend communicating via client-go and custom Kubernetes controllers/informers to maintain in-memory resource topologies, alongside eBPF agents for real-time live traffic flow observation. Container filesystem inspection requires direct CRI/containerd interaction or ephemeral debug containers. A frontend built in React/TypeScript with ELK.js or WebGL renders high-density live topology graphs updated via WebSockets or SSE.

Competitors

Other products that read as similar to this one : 126 launches clear the similarity bar, closest 8 shown.

Attention rank: #24 of 127 (itself plus its competitors, highest first, normalized so YC and Product Hunt are compared fairly).

Launched 185 days after the earliest competitor.

Related data

The niche, labels, vibe code rating and competitor comparison on this page are analysis by Nicheloom. If you use them, please credit nicheloom.com. How you may use our data.