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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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. ๐Ÿ˜ฉ 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! ๐Ÿค– Some ways LogicLoop's AI SQL Copilot has helped early users: โ˜Ž๏ธ Business operations teams can find top customers to email and automate outreach ๐Ÿง Risk analysts can discover gaps in their fraud monitoring to flag more bad actors ๐Ÿ’ธ 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! ๐Ÿ’ป๐Ÿ‘จโ€๐Ÿ’ผ๐Ÿ“ˆ
Jacqueline Xu
@jesika_haria Congrats on the launch! SQL is such an interesting technology that has been used for decades. It has such staying power and it's very exciting to see something like this go through a new phase with AI to reach new levels of productivity.
Tanvi Chheda
This is definitely talked/lamented about in my company! For folks who can write SQL, their time would be better spent focussing on the "what" (metrics, experiments) rather than the "how" (unnest syntax in sql anyone? remember to keep the small-er table on the left of the join for runtime). So excited for you! +1 to the social layer on top, perhaps also comment insertion to explain code, and auto generated field/column descriptions?
Jacqueline Xu
@tanvi_chheda1 Totally, it's a common pain point we hear a lot. Folks want to get to the data and the insights but it takes a lot of time wrestling with SQL to get there. I often find myself having the re-Google the same specific syntax quirks like parsing for dates 30 days in the past, common table expressions, joins etc. AI has been very helpful in allowing users to move more quickly and not re-invent the wheel. Social layer is very interesting! Would not have guessed that it would be a feature request but will keep in that in mind. We do already support generating code explanations but field/column descriptions is also another great idea.
Amy Saper
This would have been such a game-changer when I was at Twitter and Stripe! We (Product and Product Marketing teams) were constantly blocked waiting on Data Science/eng to help us debug queries or write complex ones. This tool will give business teams the superpowers they need to make data-driven decisions. Curious if you can share a few more specific examples of how early users have been using it? Which types of users do you think it benefits the most?
Yi Duan
@amy Definitely! We have seen many users using "Ask AI" to explore their idea and figure out what they can do with their existing DB tables first, especially in some big or even middle size companies where there are hundreds of tables across different teams - most people don't have knowledge of all of them. So they usually have to maintain a detailed catalog to help internal users understand how to use them. But searching and reading the giant catalog is still painful. With this "Ask AI" feature, users can narrow down to their target tables using natural language very quickly. After that, they can use a series of our AI SQL tools to generate and optimize their SQL. We also notice there are many complex queries, which contain hundreds of lines SQL and join with >10 tables, written by our users from companies across all different stages. Queries authors don't usually leave comments. Even though they leave some comments, it still takes lots of effort for other people to understand their queries. SQL explainer can be a life saver in this case! And if there happen to be some bug in their queries, SQL fixer can help identify the problem and save tons of time reading queries and pulling data!
Yi Duan
@amy AI SQL Copilot can benefit a wide range of individuals and professionals who work with SQL databases. Here are a few examples of people who can benefit from this tool: SQL Developers and Programmers: AI SQL Copilot provides assistance in generating, modifying, and optimizing SQL queries, making the development process faster and more efficient. Database Administrators: Copilot can help database administrators in optimizing database performance by suggesting improvements to existing SQL queries and providing insights into query execution. Data Analysts: With AI SQL Copilot, data analysts can explore complex data queries more effectively and efficiently, allowing them to derive valuable insights and make data-driven decisions. Data Scientists: Copilot can assist data scientists in generating SQL queries for data extraction, transformation, and analysis, saving them time and effort in writing complex queries. Business Users: Even individuals without extensive SQL knowledge can benefit from Copilot's capabilities. By using the "Ask AI" feature, business users can ask questions and explore data by receiving SQL suggestions and insights. Whether you are a seasoned SQL professional or someone who occasionally works with databases, AI SQL Copilot can streamline your workflow, enhance productivity, and empower you to work more effectively with SQL queries.
Yi Duan
@amy Additionally, combining with LogicLoop's other functions like combining data from different data sources, scheduling jobs, triggering actions, generating tickets, building dashboards, etc., users can build powerful workflow to automate their operation process even though they are not engineers!
@amy @yi_dduan Thank you, Yi! This is an amazingly comprehensive set of use cases you've captured. What's especially exciting is that so many of these use cases are ahead of us!
Prabhav Jain
@yi_dduan thanks for listing out all of those use cases! Iโ€™d be curious to understand how yโ€™all think about data privacy and security with so many personas involved (some technical and some not)?
Jacqueline Xu
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?
@jacqueline_xu my favorite has been chatting with the Ask AI bot to get it to generate examples of transactions that my SQL fraud rules would have otherwise missed catching!
d
@jacqueline_xu Iโ€™ve been liking the query generator for day-to-day use myself! Itโ€™s nice to just get a quick working query out without trying to remember specific syntax
Paul Pamfil
Really exited to see that happening, good job!โœจ
@paul_pamfil Thank you so much!
Yi Duan
I have seen many people struggle to write SQL, debug SQL or make SQL more efficient. Very excited to see this launch and fill the gap!!
@yi_dduan Thank you! Couldn't have done it without you :D
Jacqueline Xu
@yi_dduan Yep totally, just the other day we had a user with a join error in their SQL query that took them hours to debug. They tried looking on StackOverflow, Googling etc. but it was tricky to find the exact use case. Using the AI debug tool they were able to find and fix the issue much faster. Another example, we had a user whose queries were taking over 15 minutes to run. After running the structure of their query through the AI optimizer, we were able to get the query down to under 10 minutes runtime, which is pretty significant compute time savings.
Anmol Panna
Having used LogicLoop's AI SQL Copilot extensively, I've been particularly impressed with the Ask AI bot. It has helped me generate examples of transactions that would have otherwise slipped through the cracks of my SQL fraud rules. I've found it incredibly beneficial in improving my SQL proficiency and applying its utility to our organization's work. For anyone striving to write, debug, or optimize SQL more efficiently, this tool is a game-changer. Excited to see its impact in bridging the gap! Highly recommend it
Nathan Skarie
@anmol_panna Thanks for the support, glad to hear it's worked well for you and your team so far!
@anmol_panna Need to share your story here! https://medium.com/@anmolpanna/r... So impressed at what you're building too, and happy that we could play a small role in it.
Prabhav Jain
As an engineering leader at a high growth fintech, Iโ€™m always trying to find ways to save time. Looking forward to more launches that can help my team write SQL faster!
@jainp Totally, looking forward to helping you.
Jacqueline Xu
@jainp Thanks! It's a great tool for both experts and engineers to accelerate their productivity and also for non-technical users and beginners to get started and learn.
Calvin Ling
This looks cool! I'm interested in getting better at using SQL and learning ways it might be helpful in our org - any tips on how to get the most out of the tool?
@calvinling626 The #1 thing I'd say is to have a good business problem you want to apply it to, and some way of getting access to your data (don't worry if you don't have your database, you can literally connect Google Sheets). Then you can just sit back, ask your data any questions and have it generate SQL for you!
Jacqueline Xu
@calvinling626 My recommendation is to just get started and troubleshoot your way to success! This is one of those things where you don't know what you don't know until you try. It's the fastest to learn by doing. I would also take full advantage of the AI debugging functionality to help you figure things out. Can't wait for you to try! Let us know if you have any feedback.
@calvinling626 @jacqueline_xu Totally agree, that sometimes just digging in is the best lesson itself.
Ina Herlihy
Love this!! Wish this product was live a decade ago. Nice work! Going to share this with everyone I meet who is leaning SQL.
Yi Duan
@inaherlihy Definitely! Appreciate for your support!
Jacqueline Xu
@inaherlihy Thanks! It's amazing how SQL has been around for decades and the staying power that it has. Excited to bring in a new era of SQL with AI
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.
Blake Whittington ๐Ÿ‘พ
Yay, congrats @jesika_haria! I appreciated how you blended the chat and actionable interfaces together. I really like that you're considering automations/integrations from day-1.
Ben LeVine
@jesika_haria @blake_whittington We're thrilled you liked the blend of chat and actionable interfaces, and we're excited to continue expanding with future automations and integrations to enhance your experience even further.
@blake_whittington Thank you! Yup, we're seeing these automations as a big differentiator, so you can actually do something with those query results easily.
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!
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.
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 ๐Ÿ˜ Congrats on the launch!! ๐Ÿš€๐Ÿš€
@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! ๐Ÿ’ช
@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. ๐Ÿ™Œ 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. ๐Ÿ’ช
George Apostolov
Congratulations on the launch! ๐Ÿ‘
@gapostolov Thank you so much for your support, we hope you check out the tool!
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