Hyperquery

Data notebook built for speed, visibility, and collaboration

4.5•15 reviews•

1.1K followers

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Hyperquery is the data notebook for teams that enables you to easily build shareable analyses (in SQL or Python).
Hyperquery gallery image
Hyperquery gallery image
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Launch tags:
Analytics•Data & Analytics•Data Science
Launch Team

What do you think? …

Robert Yi
Maker
📌
Hey ProductHunt! I’m Robert, CPO and Co-founder of Hyperquery. 👋 We are so excited to finally announce Hyperquery is in public beta! Hyperquery is a data notebook for teams. But unlike technical tools of the past, we’re built from the ground up for analytics. We’re faster and more intuitive to use, more easily organized, and more collaborative than your SQL IDE or Jupyter notebook (yet even more powerful). - Do your work in SQL or Python. - Write it up easily with our WYSIWYG (what you see is what you get) editor. - Share and organize it with our intuitive file structure. But our vision is much broader than that - we don’t want to just add another technical tool to the analytics arsenal, but make analytics better. Existing tools create knowledge silos and reinforce our status as SQL monkeys. The effect? Poor understanding of our value, job dissatisfaction, and overall a sense of utter chaos. Hyperquery is intended to make it not only easy to build analyses, but make them centralized and collaborative, so the chaos is reigned in, conversations and engagement are elevated, and you have a space deserving of your value add. We’d love to hear your thoughts & feedback so drop some comments below! 👇 We’ll be here all day to answer your questions!
Eddie Forson
Congrats on the launch! This looks really great. I'm very intrigued with Hyperquery. It seems like Notion + Jupyter notebooks had a child 😆. The tool looks sleek. What type of companies and what persona that you are targeting with your product?
Luong Vo Tran Thanh
Maker
@ed_forson Wow, thanks for the commend, Eddie !! Notion is a popular product. Jupyter is also what our current customers referred to when they first experience our Code Blocks. It is amazing to live in a world with diverse softwares, most of which rejoin at some intersections for a magical and excellent customer experience. We are happy you are finding these intersections from Hyperquery. As for our current target customers, we craft the product for analysts and data scientists. It would also be rewarding for teams and companies that want to get the best out of data with minimal technical maintenance effort and a low learning curve. That being said, we continuosly learn from customer feedbacks and potential prospects so our product is always open to every team and evolving for better offerings
Rachel Seo
Maker
Thank you @ed_forson!! Yes to add to what @luongvo209 said...our power users have been analysts and data scientists who had been looking for a shared analytics space to work together as a team and with their stakeholders. 🙂
Robert Yi
Maker
@ed_forson Really appreciate that! We clearly drew a bit of inspiration from Notion when figuring out how to organize our notebooks. 😅 As @luongvo209 mentioned, most of our users are analysts and data scientists doing heavy deep-dive analytics work. 😁 We do have a number of data eng using us as well, though.
Kevin Kong
Maker
"Notion + Jupyter notebooks" just made my day! Thank you for the support @ed_forson :) Our users' personas run the gamut, but our power users tend to be analysts & data scientists & their stakeholders. Hope to see you try out the product soon!
Damian Rodriguez
Maker
Thanks for the shoutout, @ed_forson! We're glad you find our tool intriguing and think it's a combination of Notion and Jupyter notebooks. Our target audience consists of data analysts, scientists and their stakeholders who are looking for a shared analytics platform to work together effectively. We appreciate your support and hope you'll give Hyperquery a try soon!
Laurie Hérault
Luong Vo Tran Thanh
Maker
@laurieherault we are pleased to hear that your first aesthetic impression was positive. Notion is a great product. In fact, we'd love to share the audience and together improve your workflow, may it be data analysis or general purposes. You might want to check out one of our feature, embeds in Notion / Confluence
Robert Yi
Maker
@laurieherault @luongvo209 Appreciate it @laureherault! Our brand designer @daoun_jeong built the whole thing from scratch (she's amazing!).
Damian Rodriguez
Maker
Thank you for your kind words about our homepage @laurieherault! Our goal was to make data analysis as accessible and easy-to-use as possible, and we're thrilled to hear that you think we're on the right track. If you're interested, you should definitely check out our feature for embedding analysis directly into Notion and Confluence as @luongvo209 mentioned!
Joseph Moon
Maker
Kevin Kong
Maker
@laurieherault glad to hear that feedback! Notion upped the ante for all B2B SaaS companies' to elevate their product experience. As much as Notion made documentation actually FUN for all companies, we want to make data notebooks delightful and collaborative for data teams!