Calvin Lim

Why does analytics still take weeks in 2026?

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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.

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Calvin Lim

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?