LogicLoop AI SQL Copilot

Name: LogicLoop AI SQL Copilot
Rating: 5.0 (10 reviews)

SQL AI Copilot for business and data teams

5.0•10 reviews•

636 followers

SQL AI Copilot for business and data teams

5.0•10 reviews•

636 followers

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Data analysis tools

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AI Coding Agents

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Business intelligence software

LogicLoop is your 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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Launch tags:Productivity•Analytics•SaaS

Launch Team

Framer — Launch websites with enterprise needs at startup speeds.

Launch websites with enterprise needs at startup speeds.

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ClassPoint

Wow, this is just in line with what we need. I'm just starting the process of tidying up how we manage our data and this will be a great step towards that if we can make it work. I've got two questions 1. Unfortunately, our database is a mess and isn't properly normalized. Even the column naming conventions are not that great. How would this affect the usability of the product? 2. What alternatives exist now, and what makes this product stand out?

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3yr ago

LogicLoop AI SQL Copilot

Maker

@heyjoshua Both are great questions! 1. That's the beauty of using AI to generate your SQL for you, in that it doesn't really matter exactly what your columns are called, since you just point it at your tables, tell it your intent and it will figure out the columns that are mostly likely to have the information you need. Of course, that's not an excuse to not have proper normalization and data pipelines, which you might need for other reasons anyway. Happy to dig into this with you! 2. In terms of alternatives, we've seen a few new startups come up in the space after the launch of ChatGPT. Here's a few ways we're different - * On your data schema: A lot of the ones we've seen recently don't actually generate these queries on your schema, so you still have to do a lot of manipulation or calculation to get to SQL that just produces results. * A better experience in productionizing SQL: Like code, writing production SQL is rarely one-shot. LogicLoop comes with a suite of AI SQL Copilot tools, like a fixer, optimizer, editor etc. that allow you to continue to iterate on your SQL logic in an integrated environment. * Go beyond SQL: Generating query results might often be the first step of a business process. With LogicLoop, you can actually visualize results, send Slack alerts, create tickets, run automations etc. on a schedule. We have thousands of users using the core product for exactly this, so have a good sense for how we can carry your data forward. There's also numerous advantages over querying the OpenAI and other such APIs directly - would you like me to go into those?

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3yr ago

ClassPoint

@jesika_haria yes! I would love to hear. I've briefly glanced upon the API myself but haven't really worked on it yet.

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3yr ago

Desku

Dear LogicLoop team, Congratulations on successfully building LogicLoop, an AI SQL copilot! Your creation of a tool that can auto suggest, generate, fix, and optimize SQL queries to help users find relevant insights is truly impressive. The ability to obtain results directly on one's own data in seconds is a game-changer. Your hard work and innovation will undoubtedly revolutionize the way people interact with databases and extract valuable information. Well done on this remarkable achievement! Best regards, jignesh Bhatti

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3yr ago

LogicLoop AI SQL Copilot

Maker

@jignesh_bhatti Thank you so much, and appreciate the astute comments on how writing SQL on your schema is a game changer!

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3yr ago

LogicLoop AI SQL Copilot

Maker

@jignesh_bhatti Thank you! We definitely feel like we're living in the future these days with things moving so fast.

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3yr ago

Between

Congrats on the launch! Really like the feature where you can ask the AI itself what to write.

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3yr ago

LogicLoop AI SQL Copilot

Maker

@daniyalbetween Thank you so much, would love your feedback! Yea that Ask AI feature is shockingly helpful, and helps get rid of those blank slate days.

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3yr ago

LogicLoop AI SQL Copilot

Maker

@daniyalbetween Thank you! Totally, we want to be helpful at every step of the process, and that involves the ideating phase as well.

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3yr ago

Awesome product, going to get my team to use it too :)

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3yr ago

LogicLoop AI SQL Copilot

Maker

@cyrusyari Thank you so much for your support! Hope you can benefit from our tool!

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3yr ago

LogicLoop AI SQL Copilot

Maker

@cyrusyari Thank you and let us know if you have any questions or feedback

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3yr ago

Friendshop

I’ve been waiting for something like this ever since chatGPT came out with some SQL examples. Copying and pasting my data schema or trying to get ChatGPT to give me the correct syntax has been a pain so it’s nice to see something that’s directly applicable to my unique data schema. Can’t wait to try.

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3yr ago

LogicLoop AI SQL Copilot

Maker

@mary_w342 Thank you so much, and yes that's a very astute observation of how we tend to be different :D

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3yr ago

Personal FolioKit

Congratulations on the PH launch guys! This one looks so cool and I think with the increase in data-based positions/fields, this would be really beneficial for them as well as other coders etc. Keep up the good work 👍🔥

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3yr ago

LogicLoop AI SQL Copilot

Maker

@pir_ahmed_suharwerdy1 Thank you so much, we're excited for you to give it a try and let us know what you think!

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3yr ago

Airtable

Woot woot, 🎉🎉 super excited about this. Writing SQL seems like such a great win for these LLM powered technologies, and it integrates so nicely with the rest of LogicLoop too 🙌

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3yr ago

LogicLoop AI SQL Copilot

Maker

@karthik_sethuraman Thank you so much, and yes it seems like a win-win!

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3yr ago

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5.0

Based on 10 reviews

Review LogicLoop AI SQL Copilot?

Reviewers see LogicLoop AI SQL Copilot as a strong productivity aid for people who need answers from data but do not want to spend hours writing or debugging SQL. They repeatedly praise the time savings, especially for analysts, business users, and technical staff who would rather focus on models, operations, or decision-making than query syntax. The clearest gap in the feedback is data discovery: one reviewer says a common problem is not knowing which table to use and asks for better recommendations there.

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