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Radar

The missing open-source Kubernetes UI

Open Source
Developer Tools
Artificial Intelligence
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Hunted byGarry TanGarry Tan

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.

Top comment

Hey PH 👋 Eyal, Roy, and Nadav here - the team behind Radar. We also build Skyhook, YC W23.


We've wanted a better Kubernetes UI for a long time. kubectl is powerful, but day-to-day cluster work still ends up split across terminals, dashboards, Helm, Argo/Flux, cloud consoles, and log tools.


The existing options all have tradeoffs. Lens lost the OSS trust that made people love it. FreeLens is a welcome fork, but still carries the same heavy Electron desktop model. Headlamp is useful, but shallow once you want deeper operations - Helm, GitOps, traffic, audits. k9s is excellent if you live in the terminal, but not everyone does. And the SaaS tools often price by node and ask for a work email before they let you look at your own cluster.

So we built the Kubernetes UI we wanted: fast, local-first, open source, and not locked behind an account. We quietly shipped it a couple of months ago. The community took it past 1.4k GitHub stars and gave us way more feedback than we expected, so we kept shipping. Today is the proper launch.

What's in it:

- Topology with real ownership chains, not force-directed spaghetti

- Live event stream across all resources using Kubernetes watches, not polling

- Helm release management with diff/rollback + native Argo CD / Flux sync

- Live traffic flows via Hubble/Cilium, Caretta, or Istio

- Cost insights via OpenCost - auto-detected per namespace, workload, and node

- Cluster audit - 31 checks across security, reliability, and efficiency

- Image filesystem viewer - read container files in the UI, no exec, no pull

- Built-in MCP server - point Cursor or Claude at your cluster


Plus first-class integrations for 20+ popular K8s tools - Argo Rollouts, Karpenter, KEDA, cert-manager, Trivy, Kyverno, Velero, Knative, and more.


Single Go binary. Apache 2.0. No account required. No usage tracking. No cloud dependency.


Site: https://radarhq.io

Repo: https://github.com/skyhook-io/radar

Discord: https://radarhq.io/community/chat


Also yes, we cared about making it beautiful. K8s tools don't have to look like punishment.


Would love your feedback - what's missing, what breaks, what we got wrong. We're here all day.

Comment highlights

Was actually just looking for sth like this. Was about to build an internal shoddy version, this will do!

Local-first with zero cluster-side installation is the right call. When I was scaling an engineering org from 15 to 120, the biggest friction with K8s tooling was always the chicken-and-egg problem: you need cluster access to install the tool that helps you understand the cluster. Having this run as a single binary using existing kubeconfig means any engineer can get visibility without needing platform team approval first. That alone probably saves a week of onboarding time per new infrastructure hire.

a cluster audit with 31 checks across security and reliability is a massive value-add for day-to-day ops. we usually run separate trivy or kyverno reports, so having that integrated into the primary ui workflow is a huge time-saver. does the audit allow for custom check injection? @nadav_erell

About Radar on Product Hunt

The missing open-source Kubernetes UI

Radar launched on Product Hunt on May 3rd, 2026 and earned 204 upvotes and 11 comments, earning #1 Product of the Day. 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.

Radar was featured in Open Source (68.4k followers), Developer Tools (511.8k followers), Artificial Intelligence (467.4k followers) and GitHub (41.2k followers) on Product Hunt. Together, these topics include over 188.6k products, making this a competitive space to launch in.

Who hunted Radar?

Radar was hunted by Garry Tan. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.

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