Today's attention spans are shorter than ever. That's why we've introduced the new Cognitive Enrichment Mode at @Datawisp. Wispy already takes under 10 seconds to answer any data question - but in 2025, 10 seconds feels like an eternity. With our new Wait-Time Intelligence *TM*, users can stay engaged during these important few seconds. It's a crucial part of the insights finding process.

A customer signed up on Friday and has spent about 2.5 hours in the product since. The thing is - our product is B2B, paywalled, and every single CTA points to "get demo." My first thought was "how did he get past our paywall?" The answer? He paid! If you're curious what it feels like to get your first 100% self service *paying* customer at a B2B startup in an industry where sales cycles can be over a year long, here's a little insight into what life at @datawisp was like this weekend.

Enterprises' understanding of AI has matured so much in the past year. When we first started Datawisp, "you can ask any data question in English and get an answer" was enough to get a meeting, because what we did was equivalent to black magic. So we'd blow people away in demos. But no one was converting. They were hesitant about adopting genAI because of security concerns (which were unexplored at the time) and simply because of general fear and uncertainty. It was never based in fact or science. They also asked extremely unreasonable questions, basically expecting the AI to do 100% of their job for them. Fast forward to today, and customers are more educated than ever. They have a range of AI powered data tools to choose from, and come prepared with questions ranging from "what model are you using" to "can we set up a version of this where none of the data ever leaves our cloud?" They want to make sure that the platforms leverage their existing data dictionaries and have a much better grasp of the types of questions AI is suited for (e.g. avoid complicated why or why not questions). If you're selling a "genAI" product, it's not enough anymore to communicate your basic value proposition. You need to focus on what makes your offering different from all the others, and even start to think of "meta" marketing (e.g. Apple's Think Different).

Thanks to everyone who came out to our #SFTechWeek event "Can AI replace your data scientist" and to our panelists Mengying Li and Leo Li for sharing their insights with the crowd! TL;DR in case you missed it - Generative AI is already starting to have an impact on the world of data science and helping teams work more efficiently by automating / speeding up certain tasks. As the technology evolves we'll see more use cases. However, data scientists are more than just SQL writing machines - they understand your business, your strategy, and know how to work cross functionally with other (human) teams to achieve company goals. AI won't be replacing them anytime soon!

We shot out @datawisp against competitors from Microsoft, Amazon, and more. The results were pretty shocking. Check out the full case study here for results, methodology, and insights we collected from using all these AI analytics products. datawisp.io/case-studies/ai-…

At @datawisp we're building a new kind of analytics platform for business people without technical skills - 99% of your company.

There's a hidden cost to emailing your data science team every time you need a number, chart, or dashboard: the work you prevent them from doing by burdening them with your tasks. People sometimes tell me "our data is so siloed and hard to work with." That's one of the side effects of a system where everyone relies on the data team for ad-hoc requests - they don't have as much time to work on other things! One of the reasons we built @datawisp is specifically to address this. More self-serve means more time for data professionals to focus on the tasks that only they can do, like maintaining clean data and working on machine learning projects that add long-term value to the organization.

After almost 3 years of building @datawisp, it was nice to see our ad and logo up in the iconic Times Square! Now our friends and family (and LinkedIn connections) can see how hard we work on a daily basis 😄. Big thanks to Erica Wenger and the team at @brexHQ for hooking us up with this perk #bigapplebuilders

New beta feature - go from a new data set to a full dashboard in just a couple of minutes, with one click of a button. Why would you want this? Well, Wispy is very good at automatically creating interesting charts that could inspire you to do more exploratory research yourself. Think of it as creative inspiration. Or, if you're a very non-technical user and just want to tracks some basic metrics, you can save a lot of time!

Working with data in esports and gaming prompted us to start @datawisp. The challenges we faced weren't limited to just gaming and we saw a huge opportunity to change how data is accessed by everyone in the enterprise to improve how they do their jobs.

A lot of non-technical product managers and marketers use software like Google Analytics or Appsflyer that collect data and shows basic dashboards to make decisions. Unfortunately, this data ends up siloed because all the various SaaS tools companies use don't talk to each other. I spoke with @adamjwakeling about this problem and how we built @datawisp to solve it.

Calling all product managers, data analysts, and anyone else who needs to make decisions informed by data on a daily basis. New Wispy dropped and it's pretty sick.

Here I am saying "please" to an AI for some reason. When we designed Wispy, our AI-powered data assistant, we wanted it to act and respond to questions like a human data scientist, and we wanted interactions with it to feel natural. I guess we did a good job!

I mean, it's a no brainer. @datawisp

Last Wednesday we hosted our @datawisp #Techweek event "Can AI Replace Your Data Scientist?" I spoke with with Charles Morris, Nicholas DeGiacomo, and our @ALL_CAPS_CAM about the role of AI in data science. It was an incredible (way) over capacity event full of amazing people!

Last week I had a chance to present @datawisp at the AWS x Nvidia AI pitch competition at NYC Techweek. We were one of the 6 startups selected out of over 100 applicants 😎. Luckily they had a photographer on site so we don't have to post any of my selfies.

Do you work with data? Imagine the time you could save just asking Wispy instead of emailing back and forth with a data scientist. Imagine what your data scientist could do with the time saved answering basic business questions.