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Kuack

Run Kubernetes jobs in visitor browsers

Details

External ID
46420796
Source
HN
Company
—
Product
Kuack
Website domain
github.com
Launched
Dec. 29, 2025
Cohort
—
Upvotes
5
Upvotes percentile
0.10400763358778627
Tags
—
Fetched at
Sept. 7, 2026, 9:25 p.m.
Updated at
Sept. 7, 2026, 9:25 p.m.

Description

WebAssembly makes it possible to run serious computation in browsers. I wanted to see if we could treat browsers as Kubernetes workers.Kuack is a Virtual Kubelet provider that schedules Kubernetes workloads to browser tabs. Visitors' browsers connect, report capacity, and become ephemeral workers. It looks like a regular Kubernetes node - same kubectl commands, same OCI images, same workflows. The difference is that pods execute in browsers instead of servers. With multi-platform OCI images, Kubernetes can fall back to regular nodes if no agents are available.It's designed for short-lived, stateless, CPU-heavy jobs: load testing from real networks, local data preprocessing, edge computing scenarios, machine learning tasks, etc.Not a replacement for your cluster - just an extra option for workloads that benefit from browser execution.

Enrichment

Theme
Claude integrations and coding agents
Vertical
Horizontal
Function
Dev tools
Audience
Developer
AI stance
Not AI
Project type
Hobby / open-source project
Normalized one-liner
kubernetes jobs in browser
Manually corrected
False

Could you build this?

No Building a custom Virtual Kubelet provider in Go that integrates into the Kubernetes control plane and dispatches container workloads compiled to WebAssembly over WebSockets to client browsers requires deep distributed systems and K8s internals expertise.

What it would actually take: The system requires implementing the Virtual Kubelet Go SDK to register as a custom node within a Kubernetes cluster, reconciling Pod lifecycles, and managing node leases. Workloads must be translated or pre-compiled into WASI/Wasm modules, multiplexed over secure WebSockets or WebRTC to ephemeral browser sessions, and isolated using web workers while streaming standard I/O and handling worker dropouts. This requires expert-level knowledge of Kubernetes internals, distributed scheduling, and WebAssembly runtimes.

Discussion

No comments on this launch.

Competitors

Other products that read as similar to this one — 73 launches clear the similarity bar, closest 8 shown.

Attention rank: #73 of 74 (itself plus its competitors, highest first — normalized so YC and Product Hunt are compared fairly).

Launched 60 days after the earliest competitor.

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