ChatGPT for your SQL database. Empowers your team with AI to get answers from the database with natural language.
Get answers from your SQL database using GPT-3
ChatGPT for your SQL database. Empowers your team with AI to get answers from the database with natural language.
Hello Product Hunt Community, Happy Monday! My name is Radi Barq and this is my first lunch. Since the introduction of ChatGPT, my mind has been preoccupied with exploring the diverse applications of this technology beyond mere question-answering. I closely followed the news and observed the emergence of startups and products harnessing the power of Language Models (LLMs). It became evident to me that LLMs could be leveraged across various fields, spanning from programming and customer support t
Great idea! I personally tried to ask ChatGPT to write SQL for me - it works pretty good when you know how to write prompts :) Now you guys have a good UI to do that for me, and what's better - I don't need to copy paste my query, it all goes to my DB instantly! Love your product, congrats on launch :)
;Impressive! Check wikigpt3.com and email me your app details and I can also help get your app listed on my directory and other 100+ AI directories.
This is fantastic! PlasticDB, reimagining database querying via LLM - excited to see where this goes! I'm currently working on a tangential product, and generative SQL query optimization has been a common discussion point for my team. Would love to chat with you and your team sometime. Congratulations on your first launch and wishing the PlasticDB team much success!
Categories come from the product's launch tags. Most products appear in 2-3 categories. The primary category is listed first.
The scores reflect launch-period engagement. Historical data is preserved and doesn't change retroactively. The build date at the bottom shows when the index was last refreshed.
Check the similar products section on this page, or browse the category pages linked in the tags above. Each category page shows all products for a given year, sorted by engagement.
A measure of community engagement at launch. Higher means more people noticed and interacted with the product. It's a traction signal, not a quality rating.