CH-UI v2
ClickHouse workspace in a single binary (Go and Svelte)
Details
- External ID
- 47095026
- Source
- HN
- Company
- —
- Product
- CH-UI v2
- Website domain
- ch-ui.com
- Launched
- Feb. 20, 2026
- Cohort
- —
- Upvotes
- 9
- Upvotes percentile
- 0.4865229110512129
- Tags
- —
- Fetched at
- Sept. 7, 2026, 9:25 p.m.
- Updated at
- Sept. 7, 2026, 9:25 p.m.
Description
Hi HN,I've been building CH-UI, an open-source ClickHouse workspace. Today I'm releasing v2, which is a complete rewrite from scratch.v1 was a React SPA served via Docker. v2 is a single Go binary with an embedded Svelte frontend — download, run, open browser. No Docker, no Node, no runtime dependencies.What it does:- Multi-tab SQL editor with autocomplete - Database/table explorer with data preview - Saved queries - Tunnel architecture: run `ch-ui server` on one machine and `ch-ui connect` next to your ClickHouse — secure WebSocket tunnel, no VPN needed - Self-update (`ch-ui update`), OS service install (`ch-ui service install`)Pro edition adds dashboards, scheduled jobs, AI assistant (BYO provider), governance (lineage, access matrix, policies), and alerting.Core is Apache 2.0. Pro uses a signed license model (Ed25519).Stack: Go 1.24, Svelte 5, SQLite (embedded state), Chi router, WebSocket tunnels.GitHub: https://github.com/caioricciuti/ch-ui Install: `curl -fsSL https://ch-ui.com/install.sh | sh`Happy to answer questions about the architecture, the tunnel model, or the open-core licensing approach.
Enrichment
- Theme
- browser automation and scraping for AI
- Vertical
- —
- Function
- Dev tools
- Audience
- Developer
- AI stance
- Not AI
- Project type
- Commercial product
- Normalized one-liner
- clickhouse workspace in a single binary
- Manually corrected
- False
Could you build this?
No CH-UI is an extensive enterprise database control plane featuring real-time cluster monitoring, telemetry pipelines, outbound WebSocket tunneling, and dbt-style modeling engines.
What it would actually take: The architecture comprises a Go backend serving an embedded Svelte frontend, an embedded SQLite metastore, and an outbound WebSocket agent for secure network tunneling to ClickHouse. The hard parts include deep ClickHouse internals (system table introspection, query plan visualization, cluster health metrics, and query tracing) along with robust bidirectional agent tunneling through firewalls. Implementing this requires specialized knowledge of database internals, systems programming, and enterprise telemetry.
Discussion
No comments on this launch.
Competitors
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Attention rank: #23 of 51 (itself plus its competitors, highest first — normalized so YC and Product Hunt are compared fairly).
Launched 100 days after the earliest competitor.
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Other launches for this product
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