LogicLoop AI SQL Copilot
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Support is great. Feedback is even better.
"We are an active and hungry dev team! Let us know what you want in the next release, such as:
💻 APIs to generate, fix and optimize SQL with text at scale 🌱 Embedding SQL Copilot into your product for your customers\ 👥 Adding your favorite LLM models, on-prem deploys etc."
Hi everyone, thrilled to share LogicLoop with you today.
Data is the lifeblood of modern businesses, but querying data using SQL can be intimidating, time-consuming and expensive. Business teams are stuck waiting while engineers are overwhelmed with data pull requests. You risk losing customers and reducing operational margins. 😩
With LogicLoop's AI SQL Copilot, you can ask your data questions using natural language. Ask LogicLoop to discover patterns, write, fix and optimize SQL queries directly on your data schema. Once you have your results, you can visualize them on a dashboard, set up recurring alerts and automations, and even refine your processes over time. Business teams are unblocked and engineers can focus on product. You close more customers and improve margins! 🤖
Some ways LogicLoop's AI SQL Copilot 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 to flag more bad actors 💸 Data engineers can fix and optimize long queries to reduce costs
Don't let SQL queries slow you down. Try LogicLoop's AI SQL Copilot today and see how it can help your business grow and succeed. Get started in 5 minutes! 💻👨💼📈
I've spent hours writing SQL queries both during my time at Stripe as well as at several startups that I've worked at. Using AI to help accelerate the process makes a ton of sense. I've already saved many hours of writing boilerplate SQL statements and debugging tricky bugs by asking AI for help. I don't think AI is going to completely replace data analysts but it's definitely going to be a huge boost in increasing productivity.
Excited to see where products like this go and the impact it can have for both business users and data engineers. Curious what are the favorite use cases you've seen so far for this tool?
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