What we’re learning from our first testers (and why it’s reshaping Datastripes)
We’ve had the chance to onboard some amazing early testers into Datastripes over the past few weeks and honestly? The feedback has been a lot!
For example, we saw people are using Datastripes in ways we didn’t fully expect:
Quick dashboards for internal reports
Exploratory flows for understanding messy datasets
Automated processes for recurring tasks
Even sharing live dashboards with clients or investors
But what’s been even more valuable than how they use it is what they ask next:
“Can I get suggestions for which chart to use?”
“Could this flow auto-detect what's interesting?”
“Can you help clean this up before I even start?”
That’s the insight that hit us: what people need isn’t just flexibility, they want intelligence.
Smart defaults. Heuristic helpers. A system that understands what they’re trying to do, and removes friction before it gets in the way.
And on top of that, it needs to feel effortless. UX matters a lot.
So that’s where we’re focusing next:
✨ Smarter building blocks. For example we added the MovingAverage node, the MapCategorize node and the messages/reasoning toolbar
🧩 Intuitive UX that guides instead of overwhelms
🚀 Faster paths from data → insight → share
To everyone testing, poking, breaking, and improving with us thank you.
You’re shaping what Datastripes is becoming.
And if you haven’t tried it yet: datastripes.com
We’re still early. But we’re building with real feedback, in real time.
Replies
This kind of early iteration based on real behavior builds serious long term value.
Yes, it is. Of the 300+ data analytics nodes we have in Datastripes, more than 150 were born after demos and tests.
As someone that tried this briefly, absolutely love how you’re listening to users and really digging into their needs. It’s awesome to see this evolving based on real feedback. Excited to see where this goes
Thanks a lot, @dheerajdotexe, really appreciate the support!
It’s our first product, and we're learning so much from early users like you. Sometimes our own assumptions crash head-first into reality and that’s been incredibly valuable.
Can’t wait to share some of the improvements we’re working on. Would love to keep you in the loop!