Brewit (YC W23)

👀 See how Taron is using Brewit to chat with his Shopify data

🌟 New feature: users can now see what sources are used by LLM to generate responses such as tables, metrics, verified queries, and more. Changelog: https://lnkd.in/gXVngeXz

🌟 New Connector: Microsoft SQL Server Now you can connect to your Microsoft SQL Server / Azure SQL within a few clicks, and start analyzing data using natural language. Changelog: https://lnkd.in/gXVngeXz

Here is how we "ate our own dog food." 👇 I used Brewit (YC W23) to pull out a list of prospects who've used our app (sending 5+ messages) in the past 21 days and haven't yet subscribed to a plan. Literally took me 30 seconds to write the prompt in English and I get the exact table result I wanted :) Then the next fun part is writing personalized email to reach out to each of them, which AI app should I use? 😁

🚀 1st feature released in May: Evaluate text-to-SQL on your DB. The most frequently asked question by new users when onboarding to Brewit (YC W23) is "How can I confidently assess Brewit's performance on our databases?". Today, we're excited to announce the launch of the Evaluation feature in Brewit! With this feature, users can: - Run custom tests on your databases: easily set up a series of questions that test the accuracy and performance of Brewit's text-to-SQL agent. - Optimize answer accuracy: add correct queries into Query Library to ensure answer accuracy in the future. - Build confidence in the model output: empower your team and data consumers to trust the model's outputs through transparent and detailed testing results. Changelog: https://lnkd.in/gk7Cfttj Try it out here: brewit.ai

🎉 We're officially launched today!!!

💡 Our new "Drill Down" feature is now live – you can now perform comprehensive analyses with just a few mouse clicks; our AI will guide you through the process! We've realized our users love using Brewit to explore their data and get inspiration on directions for further analysis; so if you're also looking to dive one step further into your data, this feature is perfect for you! If you're interested in implementing Brewit, book a call with us, and we'll help you onboard on the same day :)

✨ Introducing Recommendation Questions for All Data Sources You can now get AI-generated recommendation questions based on your data source (CSV, databases, or others) to kick-start your analytics process. This is a great way to explore your dataset and gain inspiration. Try it out today! Link in comments👇

👇 You can now upload multiple CSV files and merge them into one database (each CSV file will become a table), hosted by Brewit (YC W23).

🙌 If you're a startup founder who's looking for your fist BI tool, check out how I used Brewit (YC W23) to build a metric dashboard in 5 minutes. 👇 Follow these 4 simple steps to get started 1. Create an account for free at https://app.brewit.ai/ 2. Connect your database and add descriptions to your commonly used tables and columns (2 minutes) 3. Start an analysis conversation with the agent and generate charts (2 min) 4. Add the charts into a dashboard (1min) We've used our app to build a dashboard that we look at EVERY DAY (user metrics, error trackings, KPIs, etc.), so I'm sure you can find some value through it as well! 😊