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PyraTechAI

Forge semantic layers across platforms in one click

Analytics
Artificial Intelligence
Data & Analytics
Visit WebsiteSee on Product Hunt

Hunted bySujata PatilSujata Patil

Connect any warehouse (Snowflake, Databricks, BigQuery, Redshift, PostgreSQL, MySQL, Synapse, Teradata + more). Our agentic AI automatically scans your schema, classifies every column into measures, dimensions, and time dimensions, and builds a rich semantic model. Then exports it everywhere in one click: Snowflake Cortex, Databricks AI/BI, dbt Semantic Layer, Cube.dev, LookML, and the OSI standard. No hand-written YAML. No vendor lock-in. No SQL required.

Top comment

Hey Product Hunt! 👋 I'm [Your Name], founder of PyraTechAI. Here's the problem that drove us to build this: Every data team we talked to was spending 60–80% of their semantic layer time doing the same three things: manually writing YAML, re-writing it for each platform they used, and debugging broken metrics after schema changes. The tooling hadn't caught up with where data infrastructure actually was — multi-platform, multi-warehouse, moving fast. So we built PyraTechAI. The core idea is simple: you should define your semantic model once, and it should work everywhere. Connect your warehouse, let the AI do the discovery and classification, and get a deploy-ready semantic model for every platform you use — in one click. What makes us genuinely different from what's out there: → vs. dbt/MetricFlow: We give you graph-native impact analysis. You can see exactly which dashboards and metrics break before you touch a column — not after. → vs. Cube.dev: No JavaScript config files. No hand-authored schemas. The AI builds it all for you. → vs. Looker: We're fully platform-agnostic. Not BigQuery-first, not LookML-locked. → vs. Snowflake Cortex: We export TO Cortex — and to 5 other platforms at the same time. We're also extending the OSI standard to cover gaps that no existing tool addresses today. That work is live. We're opening early access to a select group of data teams who want to shape the roadmap. If you join the waitlist today, you get: ✅ Priority onboarding ✅ Direct founder access ✅ Free Pro plan for 6 months Would love your feedback, questions, and brutal honesty. Ask me anything below. 🔥 → [your site URL]

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About PyraTechAI on Product Hunt

Forge semantic layers across platforms in one click

PyraTechAI was submitted on Product Hunt and earned 0 upvotes and 1 comments, placing #143 on the daily leaderboard. Connect any warehouse (Snowflake, Databricks, BigQuery, Redshift, PostgreSQL, MySQL, Synapse, Teradata + more). Our agentic AI automatically scans your schema, classifies every column into measures, dimensions, and time dimensions, and builds a rich semantic model. Then exports it everywhere in one click: Snowflake Cortex, Databricks AI/BI, dbt Semantic Layer, Cube.dev, LookML, and the OSI standard. No hand-written YAML. No vendor lock-in. No SQL required.

PyraTechAI was featured in Analytics (171.8k followers), Artificial Intelligence (468.5k followers) and Data & Analytics (5.6k followers) on Product Hunt. Together, these topics include over 110.7k products, making this a competitive space to launch in.

Who hunted PyraTechAI?

PyraTechAI was hunted by Sujata Patil. 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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