I’m the founder of LogicLoop AI SQL Copilot. If you’re familiar with querying data, you’ve probably spent quite some time manually writing and debugging SQL queries. If you’re a non-technical business user, you will often need to wait and ask engineers to help you write the SQL to pull the data you need. If you’re an engineer, you might be overwhelmed by all these data pull requests from business users.
With LogicLoop's AI SQL Helper Suite, you can ask your data questions using natural language. Ask AI to discover patterns, suggest, write, fix and optimize SQL queries directly on your custom data schema. You can get results on your own data instantly. Once you have your results, you can visualize them on a dashboard or set up recurring alerts and automations. AI makes data more accessible for business users, and faster to work with for engineers/analysts.
Some ways LogicLoop's AI SQL Helper Suite has helped early users: - Business operations teams can find top customers to email and automate outreach - Risk analysts can discover gaps in their fraud monitoring rules to flag more bad actors - Data engineers can fix and optimize long queries to reduce costs
We don’t think this is a panacea that can replace data analysts, but we think this will make data analysis faster and more accessible to more people. Would love for you to give it a try and share any feedback. Thank you.
Show HN: AI SQL Copilot LogicLoop – AI to Generate, Optimize and Debug SQL
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