Coblocks

⏩ TL;DR

Coblocks is a thoughtfully-designed data platform that helps teams write queries and automate workflows faster. We understand the columns, tables, and relationships in your data and use them to help anyone on your team build pipelines with AI, SQL and Python. Think of us like Cursor for data engineering.

https://www.youtube.com/watch?v=CwfKpDh-Zbw

😩 The Problem

We've spoken with dozens of startups facing issues scaling their data infrastructure – existing tools are slow to spin up, complex, and expensive.

Enterprise data platforms don’t care about the needs of scaling companies (wasted 💰).

• You pay for a massive platform, even if you only use a fraction of the tools.
• Long sales cycles & high contract values are untenable for startups.
• Steep learning curves require training your employees or hiring a data team.

Rolling your own data platform with scripts or open-source is hard (wasted ⏳).

• Developers spend weeks or months spinning up and configuring infrastructure.
• Frequent errors lead to poor data quality and ongoing maintenance burdens.
• Teams start with one tool & find out they also need to handle orchestration, permissions, metadata, health checks, monitoring, observability, etc.
• Tooling is frustrating, UX is bad, it’s not super fun to work with or debug things.

When growing your business, you need something you can count on that doesn’t compromise on any of these dimensions.

👌 The Solution

We think your team deserves data tools they actually enjoy using.

Here’s how we’re different:

1. All-in-one: You can get started in 2 minutes – no setup or configuration required. We have one-click integrations, warehousing, transformation, and schedules all built in.
2. Seamless integrations: Plug in your Postgres database, Stripe transactions, Hubspot leads, or any other data source, without writing code to keep things in sync.
3. Thoughtful AI: We love Cursor and we love data – we combined the two to help you write accurate queries. We use existing metadata like columns, tables, and relationships to help you create new datasets, connect sources, fix errors, or edit in place.
4. Collaborative: Easily share data and discover what others in your org have built as a starting place for your analysis. Wrap common blocks of logic with templates so your team never has to start from zero.
5. Resilient and Scalable: Our compute engine is lightning-fast for queries and builds. Git and branching are built-in for both code and data, so you can time-travel backwards when things break. You can start with GBs and grow to TBs.

🙏 Our Ask

If you'd like to take Coblocks for a test drive, give us some feedback on the product, or even just say hi, we'd love to hear from you. Specifically, if your team (or a friend’s team):

• Has a product which requires scraping/aggregating data from the web or other sources
• Has dozens of shared queries in your Supabase / Retool query editor
• Has been using tools like Zapier, Retool workflows, or n8n as data piping
• Has been using janky TypeScript/Python scripts to ingest or transform things
• Wants to improve the quality of your LLM outputs
• Wants better self-service analytics capabilities for product/ops

You’re our target customer! Book a demo or reach out to us at founders@coblocks.ai, we’d love to talk.

🤠 The Team

We’re Kevin and Nisola. We have more than a decade of experience at Palantir and Square building platforms used by Fortune 100 companies to process data at massive scales. We’ve tried just about every tool on the market and none of them were up to our standards – we’re on a mission to build easy tools that make working with data fun again.

Kevin helped huge organizations with data engineering, modeling, and analytics at Palantir. He’s built data & ML infrastructure from zero to one as a founding data engineer at 3 startups.

Nisola helped rebuild mission critical card storage at Square. He’s scaled developer and investment platforms to millions of users at Cash App.