95% of Healthcare data lives in petabytes of SQL databases The tools for AI to use that data haven't existed Today we fix that with TextQL Healthcare 100,000+ tables. Trillions of rows. Petabytes of data. 15 minutes to insights. Epic systems with 100,000+ tables. Cerner

least cracked textql intern

Banger.

Playbooks Now Have Memory🧠! Playbooks can now remember the context of their past runs, helping Ana refine her understanding and deliver more accurate, consistent results over time.

My lads at ⁦@TextQL⁩ made me a hat (full disclosure: long AF)

Pretty much

@mattturck @TextQL @TheEthanDing Stock is thinning out ..

we did some healthcare stuff pls gas us up so doctors can see their data :)

Try it out today: https://t.co/kB1gImQEB7

Ana can now make playbooks from threads! Just tell Ana to turn your current conversation in a playbook.

https://t.co/1097yR2Q34 is now up to 9x faster🏎️

Ana is Now Available in Slack! We've just released our Slack integration for Ana. You can now ask data questions directly in Slack channels or DMs and get instant analysis from your organization's data. Once you've setup Slack, you can just mention "@ Ana" in any channel, or

Setup takes 10-15 minutes. Connect data sources, define analysis scope, set schedule, test output, VPC deployment. Ana handles everything else. Works with your existing warehouse, semantic layer, and communication tools from day one.

The Technical Reality Check 🕵🏻‍♀️ Ana adjusts analysis logic when your fiscal calendar changes. Incorporates new data sources into existing workflows. Maintains consistency across historical comparisons. To learn more about how we did it:

The Magic continues: Matt duplicates the Playbook for each account he owns. Suddenly every customer call has the same caliber of preparation. One Playbook saves at minimum 15-20 hours / month of manual analysis from your data team. Do that math for your company.

The Analytics Game-Changer 🎖️ Matt's got a customer call in an hour. Runs his "Customer Usage Deep Dive" Playbook. 90 seconds later he gets: Usage trends over 2 weeks Feature adoption analysis Comparison to similar cohorts Growth opportunities identified Churn signals flagged

Stored Instructions, Infinite Execution Teach Ana how to answer a business question once, she remembers forever. Not just SQL and Python, the entire analytical workflow and your visualization preference. Build you first Playbook here: https://t.co/IEuO63kIWe

The 3AM Advantage 🥱 Your customers don't stop using your product at 5 PM. Your European users are most active while you're asleep. Your weekly board reports are due Monday morning. Set customer health checks to run every Sunday at 2 AM. Ana's got you covered.

Picture this: Matt needs customer analysis for tomorrow's call. He slacks Ben at 6 PM. Ben's napping at his desk. But somehow, reports still land in Matt's inbox with insights, visualizations, and executive-ready formatting... 🧐