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Hoop.dev for Databases

AI powered database client built for teams

Developer Tools
Artificial Intelligence
Security

Hoop.dev for Databases is an AI-powered database client that makes queries and outputs accessible and secure. Give database access to your team with peace of mind using our AI filter for sensitive data. Empower non-technical folks to write SQL with AI.

Top comment

Hi PH 👋, I’m Andrios, founder of Hoop.dev Today we’re excited to show you our web database client powered by AI. As of today, we’re launching our Free plan and anyone can start using it. Desktop database clients have always felt clunky to me. After 10 years of programming and now as a founder, I still find myself struggling with basic tasks—like securely configuring access to the team or just trying to pull data from a different device. Every time I'm away from my main setup, it feels like I'm locked out of our own data. These hurdles slow me down and remind me why we need to push for web-based solutions that are not just powerful, but also intuitive and accessible right from the browser. We’ve built an AI-powered web database client with: 🤖 AI English Queries: no more waiting hours or days for the tech team to generate a report. Write what you want to see in english, and let AI understand the database structure and write SQL for you. 🪄 AI Data Masking: stop wasting your energy concerned about the team access to sensitive customer data. AI identifies card numbers, e-mails, SSNs, and 150 other information types, then shows a redacted version to the user. 🔎 Indexed queries and results: so you can easily copy, search, and share query outputs. 💬 Peer-review in Slack: no more pasting long unformatted SQL into Slack ▶️ Runbooks: save your team’s common queries into a Git repo so your teammates can run them from a web form. Hoop.dev is open for anyone to sign up and free to try out. As of today, we’re launching our Free plan for individuals and small teams. Please share your feedback, questions, and comments!

Comment highlights

congratulations on the launch of hoop.dev for databases, andrios, felipe, and matheus. enabling non-technical team members to write sql is a significant step forward. could you share how your ai handles more complex queries that might typically require nested joins or subqueries? looking forward to your insights.

Amazing what you've done with Hoop.dev for Databases. Simplifying SQL for everyone is a game-changer!

Loving Hoop.dev’s AI assistance with SQL queries! Congrats on launching! Does it work well with complex database schemas?