Hyperquery

The next-generation data notebook. Streamline your SQL, Python, Sheets, and Visualizations into a collaborative notebook experience.

[Hyperquery @hyperquery]

@YirenLu @DeepnoteHQ Thank you!

[Hyperquery @hyperquery]

Today, we are delighted to announce that we have signed a definitive agreement to be acquired by @DeepnoteHQ, a leading data notebook provider for data analysts at the most data-forward companies in the world. We are incredibly excited to continue our mission to democratize data analytics as part of Deepnote.

Read more here: https://t.co/FkXsKPp7YM

[Hyperquery @hyperquery]

CSV �� SQL.

[Hyperquery @hyperquery]

Want to a refresh an analysis but keep the past version intact? Here's our answer.

Today we're announcing named versions and past version links. Now you can create named versions notebooks, then link to them, enabling better record-keeping for your analyses.

[Hyperquery @hyperquery]

We're back. 😁🎉 Sign up today at https://t.co/z9OpBgnpIH.

[Robert Yi 🐳 @imrobertyi]

Something that sounds obvious but is easy to forget:

Emotions are a useful indication that something is off, not just something to push past.

Ignoring emotions in the name of objectivity is a sure-fire way to alienate your stakeholders, churn your team

https://t.co/8uhpZQzW4d

[Robert Yi 🐳 @imrobertyi]

So is the Modern Data Stack tenable at scale?

The MDS seeded a beautiful idea that we deserve usable tools. But it's not clear where we'll land at scale: UX isn't a key purchasing criterion for CDOs, but cost is.

No answers, but worth a discussion imo.

https://t.co/j7tlxC3eqQ

[Robert Yi 🐳 @imrobertyi]

Should we be more persuasive?

A friend claimed that stakeholders would always fit your work to their story. While I don't completely agree, I do think we could be more intentional about how we present work to stakeholders.

One of the biggest hurdles in involving ourselves in more strategic discussions with stakeholders is that it's hard to thread the needle between (a) rigorous complacency on the one hand, and (b) Aristotelian persuasion on the other. On the one hand: I'm a scientist -- I should therefore stay above the fray. On the other: if I'm arguing in the service of what I *know* is the right answer, isn't it okay if I exaggerate the truth?

We need to avoid ends-justify-the-means persuasion, but still maximize the impact of your work. IMO, two behaviors can help:

- Always come to discussions with a recommendation in mind (but don't be dogmatic about it).
- Understand how your work will be used.

https://t.co/7pAavnfaGh

[Hyperquery @hyperquery]

@tabulario We’ll dm

[Hyperquery @hyperquery]

We're excited to share that we’ve gone through our first HIPAA audit and now have external validation that we are 100% HIPAA compliant (though we have been compliant for a while 😉).

[Hyperquery @hyperquery]

@joezein0 @ZackkHoffmann @daydream_hq lol

[Hyperquery @hyperquery]

New Hyperquery signups will be closed starting tonight! 🔒

As some of you know, over the last couple months, we’ve had scale issues due to a steady influx of new users coming in. Demand and feedback have been, literally, quite overwhelming.

On the one hand, we’re delighted and humbled that so many of you are so excited about Hyperquery. We couldn’t be more grateful for the changes we’ve seen you make to your analytics process and your organizations, as well as the creative ways you’re using our product.

But, on the other hand, we know we have to continue to deliver on our promise to you and your teams. So to that end, we’re going to be putting Hyperquery behind a waitlist to make sure we can maintain a high quality experience for our existing users.

Thank you to everyone who's been part of our journey so far, and we hope this serves as a testament to our dedication to you all. Let's go!

[Hyperquery @hyperquery]

@imrobertyi too 👏 much 👏 demand 👏

[Hyperquery @hyperquery]

@alex_gable @imrobertyi lol

[Robert Yi 🐳 @imrobertyi]

Well-designed deliverables are more impactful. 💪

Good design enhances comprehension, persuasiveness, and impact, but the rub: well-designed deliverables can only be created in well-designed products.

This is a core tenet we've held since starting @hyperquery, and why I've obsessed so much over the last few years over building the perfect data notebook . I know every incremental ounce of energy I spend making sure the app looks presentable is just that much more impactful for our users.

But this is also why I'm so excited to announce our first guest post on @winwithdataio by @blazamatt, where he talks about the crisis that our industry is facing around UX: that data tools tend to have terrible UX.
https://t.co/quD6mzM1ss

[Hyperquery @hyperquery]

@RyanMWexler @esammer .@Hyperquery

[Hyperquery @hyperquery]

EU data residency is out! Read our full release post here: https://t.co/qwM3DzjCZW

[Robert Yi 🐳 @imrobertyi]

My videos are getting weirder and weirder.

But hey we’ve have EU data residency in @Hyperquery. 😁

https://t.co/kbdBkEevuY

[Hyperquery @hyperquery]

Version history is out today! 🙂

[Robert Yi 🐳 @imrobertyi]

Git is a poor system for analytics. 🧵

[Robert Yi 🐳 @imrobertyi]

It's such an ambiguous time for analytics. With AI, the sem. layer, and new tooling, it’s hard to predict (or even understand) what'll happen w/analytics.

Read my latest post in Win With Data for my takes on some of the finer points 🙂
https://t.co/9y1WcnXWyC

[Robert Yi 🐳 @imrobertyi]

I published a blog post in the @hyperquery blog that covers some of these points. Take a look if you're interested 😁

https://t.co/SKBgQ59FnW