Cube
The Agentic Analytics Platform [video]
Details
- External ID
- 46966941
- Source
- HN
- Company
- —
- Product
- Cube
- Website domain
- youtube.com
- Launched
- Feb. 10, 2026
- Cohort
- —
- Upvotes
- 6
- Upvotes percentile
- 0.28099730458221023
- Tags
- —
- Fetched at
- Sept. 7, 2026, 9:25 p.m.
- Updated at
- Sept. 7, 2026, 9:25 p.m.
Description
You might know Cube as an open-source semantic layer (https://github.com/cube-js/cube). Started in 2018, now 19K+ stars, 1000+ releases.We kept hitting the same wall: everyone wants AI analytics, but AI without business context hallucinates. The fix is a semantic layer — a model that defines what "revenue" or "churn" actually means. But building one by hand takes weeks.So we built an AI agent that writes the semantic layer itself, then uses it to answer questions and build dashboards with no hallucinations.Connect your data → agent builds the model in seconds → ask questions in natural language → get accurate results grounded in your business definitions.Three months in GA. Running in 200+ companies. 500K+ lines of semantic layer code generated. Teams like Brex and Drata using it in production. OSS core isn't going anywhere.Agentic analytics is a cloud layer on top. Free tier available. https://cube.dev/The founders are in the thread to answer your question.
Enrichment
- Theme
- AI agent frameworks and developer tools
- Vertical
- Horizontal
- Function
- Analytics & BI
- Audience
- B2B
- AI stance
- AI-native
- Project type
- Commercial product
- Normalized one-liner
- analytics platform powered by agents
- Manually corrected
- False
Could you build this?
No Cube is a massive semantic layer and distributed analytics engine that handles SQL transpilation across dozens of database dialects, pre-aggregations, cache coherence, and pushdown queries.
What it would actually take: A production implementation requires a Rust or Go core query engine with a full SQL parser, logical-to-physical plan generators, and dialect transpilations. It necessitates distributed caching infrastructure, multi-tenant connection pooling across cloud data warehouses, and pre-aggregation scheduling. Building this requires deep expertise in database internals, distributed systems, and query optimization.
Discussion
1 comment analyzed.
Competitors
Other products that read as similar to this one — 141 launches clear the similarity bar, closest 8 shown.
Attention rank: #113 of 142 (itself plus its competitors, highest first — normalized so YC and Product Hunt are compared fairly).
Launched 99 days after the earliest competitor.
- BitBoard: Analytics workspace for agents · yc · 2026-05-06 · 8 upvotes · similarity 0.45
- SLayer, a semantic layer maintained by your agent · hn · 2026-05-11 · 12 upvotes · similarity 0.45
- Metabase Data Studio · ph · 2026-03-31 · 153 upvotes · similarity 0.44
- Ktx · hn · 2026-05-28 · 93 upvotes · similarity 0.41
- agentic-trader · github · 2026-09-25 · 15 upvotes · similarity 0.40
- AlphaResearchOS · github · 2026-09-22 · 13 upvotes · similarity 0.39
- analytics-agent-articles · github · 2026-09-09 · 20 upvotes · similarity 0.38
- Scaffold a BigQuery and dbt and Cube project an AI agent can operate · hn · 2026-06-30 · 8 upvotes · similarity 0.38
Other launches for this product
- No other launches for this product.
Same idea, different domain
Nobody's really built a analytics & bi tool for Legal yet.