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candela

开源可私有化的用户行为分析。Self-hosted user behavior analytics on ClickHouse and ClkLog. Events, funnels, retention, dashboards. AGPL-3.0.

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This is 1 of 109 launches in privacy-focused web analytics and compliance — see how it stacks up on momentum and crowding →

12 other launches read as similar to this one →

Details

External ID
1413864127
Source
GITHUB
Company
—
Product
candela
Website domain
github.com
Launched
Oct. 11, 2026
Cohort
—
Upvotes
22
Upvotes percentile
0.47
Tags
ai, ai-agents, analytics, analytics-tracking, clickhouse, clklog, dashboard, data-analytics, generative-ai, llm, open-source, product-analytics, self-hosted, user-behavior, vibe-coding

Enrichment

Niche
privacy-focused web analytics and compliance
Vertical
Horizontal
Function
Analytics & BI
Audience
Developer
AI stance
Not AI
Project type
Hobby / open-source project
Normalized one-liner
self-hosted user behavior analytics on clickhouse
Manually corrected
False

Could you build this?

Partial While standard CRUD dashboards and analytics query builders are easy to vibe-code, building an end-to-end telemetry ingestion engine and complex funnel/retention queries on ClickHouse requires specialized database tuning.

What it would actually take: The stack involves a lightweight ingestion collector (Go or Rust) feeding a ClickHouse cluster with custom aggregation schemas, paired with a web UI for dashboards. The hard part is authoring optimized ClickHouse SQL queries using specialized aggregate functions (like windowFunnel and retention) that run efficiently on billions of events. It requires deep knowledge of OLAP database schema design, partitioning, and distributed data pipelines.

Competitors

Other products that read as similar to this one — 12 launches clear the similarity bar, closest 8 shown.

Attention rank: #8 of 13 (itself plus its competitors, highest first — normalized so YC and Product Hunt are compared fairly).

Launched 293 days after the earliest competitor.

Other launches for this product