LogicLoop AI SQL Copilot - Generate SQL with AI for business and data teams

LogicLoop is an AI SQL copilot. Ask your data any question using natural language. AI can auto suggest, generate, fix and optimize SQL queries to help you find relevant insights. Get the results directly on your own data in seconds.

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Ben LeVine
We're eagerly anticipating the feedback and creativity from the Product Hunt community as you explore the possibilities of LogicLoop's AI SQL Copilot!
@ben_levine13 Yes, thank you Ben!
Haipeng Yu
Congrats! It could provide a much better way to read through, discover and find insights in data, especially for non-technical users
@haipeng_yu Thank you, that's the hope :D
Jacqueline Xu
@haipeng_yu Thanks! I've definitely been on the receiving end of many non-technical users asking engineers to help them pull data and I can't wait for non-technical users to be able to do this themselves.
Yi Duan
@haipeng_yu Thank you for your support!
Uyoobong Etok
This is an amazing job from LogicLoop, this is making data optimization seamless with a good user interface and experience. Good job.
Nathan Skarie
@mhiztavoice Thanks for the kind words and support!
Jacqueline Xu
@mhiztavoice Thank you! Data optimization is one of those things a lot of companies don't prioritize but can lead to a ton of savings and tools like this makes it faster to take advantage of it.
Uyoobong Etok
@nskarie You're welcome
Dineshan
Impressive work, it helps to save a lot of time by automating SQL query generation and bug fixing. Congrats on the launch. What data sources does it support?
d
@dineshan_sithamparanathan We support many different SQL-based data sources like Postgres, Athena, hive, MySQL, and snowflake. You can check out the full list here: https://docs.logicloop.com/data-...
Jacqueline Xu
@dineshan_sithamparanathan Thanks! Yep, the smallest of SQL bugs can surprisingly take hours so we're hoping to give everyone those hours back.
@dineshan_sithamparanathan @jacqueline_xu I feel you! I am done spending hours finding a semi-colon amidst 100s of lines of SQL code.
Clay Raterman
Jesika this is awesome!! I love the angle you're taking with embedding the SQL copilot into products. What have you mainly seen people using this for in their day-to-day workflows (on the end consumer side)??
@clay_raterman Thanks so much for the comment! @yi_dduan actually answered some of this too, so I'll just use his response, in terms of the kinds of users we've seen benefit: For database administrators, it suggests improvements to enhance performance and provides insights into query execution. Data analysts can explore complex queries effectively, deriving valuable insights and making data-driven decisions. Data scientists can save time and effort by using Copilot to generate SQL queries for data extraction, transformation, and analysis. Even individuals without extensive SQL knowledge can benefit from its "Ask AI" feature, receiving SQL suggestions and insights to explore data. Overall, AI SQL Copilot streamlines workflows, enhances productivity, and empowers users to work more effectively with SQL queries.
Max Yamp
As a developer heavily reliant on data for building our AI trading software, LogicLoop strikes me as a potentially transformative tool. The idea of interrogating my data using natural language could streamline the analysis process, making it more intuitive and less time-consuming. The AI's ability to suggest, generate, fix, and optimize SQL queries could be a real game-changer, reducing errors and improving efficiency. I'm particularly intrigued by the promise of obtaining results directly on my data in mere seconds, as speed is a key factor in the fast-paced world of crypto trading. All in all, LogicLoop appears to offer a compelling solution that could significantly enhance our data querying and interpretation process. I've directed my team to book a demo and learn how we could integrate it.
@yampolskymax Wow, thanks so much for the kind words. Running it directly on your data, integrated into your workflows is exactly the key to making it work well. Looking forward to having you try it out, and @nskarie is always happy to show you how it works.
Jacqueline Xu
@yampolskymax Thank you Max! You seem very knowledgeable in this space and we appreciate your feedback. Speed is so important in today's fast-moving word that being able to work with data faster will be a key unlock for organizations.
Axel Lavergne
Sounds super promising can't wait to try it 😍 Congrats on the launch!! 🚀🚀
@axel_lavergne Thank you so much. Curious if you had a specific use case in mind?
Axel Lavergne
@jesika_haria yeah I run forest admin and have lots of custom graphs in there that use custom sql. I never had the patience to set them up properly, lots of joins and group bys involved - I'll have a go at it with your tool to see if I can spit out the right queries! 💪
@axel_lavergne Haha, absolutely! Organizing data can be a nightmare sometimes. @ben_levine13 on our team is a whiz with the tool and can help, just holler at us. 🙌 Thanks for checking us out!
Ben LeVine
@jesika_haria @axel_lavergne Best of luck as you give it a go! We'd love to hear about your experience and how LogicLoop helps you in generating the correct queries. Feel free to share your feedback or any questions you may have along the way. 💪
George Apostolov
Congratulations on the launch! 👏
@gapostolov Thank you so much for your support, we hope you check out the tool!
Amanda Pang
SQL is a very powerful language even if you are not an engineer. Very excited to see this tool launch!
@yishuang_pang Thank you so much, and YES exactly. I just heard a 20VC podcast today where Ryan Wiggins, Head of Growth at Mercury opened with "I started as a customer support agent, and then I learned SQL and that changed my life."
Jacqueline Xu
@yishuang_pang Yes totally! In my opinion, SQL is one of the top skills a nontechnical person can pick up in order to up-level their career in tech these days. And with tools like AI, it's becoming more accessible than ever.
Carl Brook
Awesome tool for data! Great launch, best of luck!
@carl_brook Thank you so much!
Jacqueline Xu
@carl_brook Thank you Carl! Let us know if you have any feedback