Why I Built Clarity AI

Last year I was running growth at my own startup. Every Monday I opened three tabs: Stripe, HubSpot, and a Google Sheet I called "the source of truth." It was not the source of truth. It was a mess. I'd spend two hours reconciling numbers that should have taken two minutes. Then I'd make a decision based on whatever I could remember from the spreadsheet I closed twenty minutes ago.

I talked to other founders. Same story. Stripe doesn't talk to HubSpot. HubSpot doesn't know about Postgres. Nobody knows what's actually happening in the business right now.

The tools that solve this cost $85,000–$120,000 a year — that's a full-time data analyst. Or you buy Looker/Tableau, which takes an engineering sprint to set up and a second sprint every time your schema changes.

So I built something else.

What I built

Clarity AI gives you an AI analyst called Atlas. You connect your data sources — Stripe, HubSpot, PostgreSQL, BigQuery, whatever you're using — and you're up in 60 seconds. No SQL. No dashboards to configure. You just ask Atlas what you want to know.

"Why did MRR drop in March?"
"Which cohort has the highest 90-day retention?"
"How many customers upgraded in Q1?"

Atlas answers in plain English. Not charts you have to interpret. Actual answers with the logic explained.

It also watches your data while you're not looking. Anomaly detected at 2am? You get an alert before your Monday panic.

Pricing is $149/mo for the Starter plan (5 data sources, 3 seats, 2,000 query credits). That's against $85–120K for a full-time analyst. We're not pretending to replace a senior data scientist. We're replacing the person founders wish they could afford.

We have 8 integrations live today: PostgreSQL, Snowflake, BigQuery, Redshift, MySQL, Stripe, HubSpot, and Google Sheets. Zapier and REST API for anything else.

The product is live at clarity-ai.polsia.app. 14-day free trial, no card required.

What I want feedback on

Three things I'm genuinely uncertain about:

1. Positioning. Right now I'm leaning into "replaces the analyst you can't afford." But a few early users said they think of it more like "always-on business intelligence." Are those the same buyers or different ones?

2. Pricing. $149/mo feels right for solo founders, but teams keep asking about $499. Is that a "team" tier or should I just let usage drive it?

3. ICP. My gut says non-technical founders of B2B SaaS doing $5K–$150K MRR. But I'm seeing operators at $500K+ MRR come in too — they just don't want to deal with their data team for every question. Worth chasing?

If you've drowned in dashboards, reply and tell me what tool broke first.