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Show HN: Powerdrill – Leverage LLMs to Simplify Data Analysis (powerdrill.ai)
20 points by joywong 38 days ago | hide | past | favorite | 10 comments
Powerdrill is an AI tool that enables users to chat with their data to get anything they want to know from their data. It's designed for individuals who need to work with data regularly but have limited data analysis skills. Users only need to input their questions. Then Powerdrill understands user queries, generates Python or SQL code, executes it, and provides answers with valuable insights and visualized data. Powerdrill supports various types of data, including PDFs, Word documents, Excel sheets, TSV files, and databases. It also offers data agents that save users time on repetitive tasks, such as generating reports and presentations with a single click.



Why doesn't Microsoft have Copilot plugged into SharePoint, yet? I have a MacBook on the way so I can dump code and company docs into LMStudio for various efforts. This should be a few clicks on SharePoint+Copilot.


Interesting question!

Hmm... I’m not exactly sure why Microsoft hasn’t done that yet.

But if you’re looking for tools to manage your company’s docs and data, Powerdrill might be worth checking out! Expecting your feedback!


More info about how to use can be found in https://docs.powerdrill.ai


perfect for non programmers


"Loved by over 1,100,000 users globally"

Really? How do you define user?


Yes, that's correct!

By 'users,' we refer to individuals who have registered our service and actively engaged.


Your website has been live less than a year (by archive.org glance) and you ramped up 1.1m users in 10 months?


It's been quite the ride. At first, we took the usual path, investing in ads.

But along the way, we noticed it just didn't sit right with us—it wasn't the best way to truly connect with our users.

Now, we're all about growing naturally and creating real, lasting relationships.


“Top 1 Quality” Million users

Yeah. Ok.


Not quality, but QuALITY, it's a leaderboard.

It has its own dataset and benchmark.

We ranked first one based on their standards. https://nyu-mll.github.io/quality/




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