Why does analytics still take weeks in 2026?
I’ve spent the last 6+ years as a data analyst, and one thing never made sense to me:
Why does it still take weeks to build dashboards…
and even longer to fix them when they break?
At every company I worked at:
Dashboards broke when data changed
Analysts became “data plumbers”
Most time was spent maintaining pipelines, not finding insights
Even worse—small teams just give up on doing analytics “properly” because it’s too complex.
So I started building something for this.
👉 Clarity AI — an AI-native analytics platform where agents:
Connect to your data
Build pipelines + models automatically
Generate dashboards
And self-heal when things break
The goal:
Replace the entire analytics maintenance layer—not just speed it up.
I just built the first working prototype and I’m looking for a few early users/design partners.
If you’re curious, I’d love to show you what I’m building and get your feedback.
Would love any thoughts, skepticism, or feedback—especially from people who’ve lived this problem.

Replies
One thing that surprised me while building this:
Most teams don’t actually have a “data problem”…
they have a maintenance problem.
The stack works—until it breaks. Then everything slows down.
Curious, how often do your dashboards silently break without anyone noticing?