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Stellar A/B testing platform, $2.5K MRR: no-code experiments
Stellar is a no-code A/B testing and behavior analytics platform for agencies and growth teams. Its $2.5K MRR is verified through the payment provider's API by TrustMRR (Stripe), as of September 30, 2026.
What it actually sells
Stellar sells an A/B testing platform with experiments, heatmaps, funnels, analytics, and AI-powered insights. Its customers are agencies, growth teams, CRO specialists, and marketing directors.
Visual A/B tests run through a no-code editor. Autopilot creates challengers, tests them against the best version, keeps the winner, and starts the next test. AI helps create headlines, CTAs, and copy variations.
How it charges
The site offers a 14-day free trial with no credit card required and includes “Start For Free” and “Book a Demo” calls to action.
Month by month
Monthly revenue as read from the payment provider by TrustMRR, in US dollars, as of September 30, 2026.
| Month | Revenue (USD) |
|---|---|
| 2025-10 | $1,784 |
| 2025-11 | $1,083 |
| 2025-12 | $1,890 |
| 2026-01 | $2,369 |
| 2026-02 | $2,231 |
| 2026-03 | $2,455 |
| 2026-04 | $3,646 |
| 2026-05 | $1,497 |
| 2026-06 | $1,795 |
| 2026-07 | $2,403 |
| 2026-08 | $3,137 |
| 2026-09 | $1,666 |
Where customers come from
Visible acquisition signals include a free trial, demo booking, and an MCP setup guide. Stellar also states direct integrations with GA4, Segment, and Mixpanel, plus support for Shopify, Webflow, WordPress, Wix, Framer, and custom builds.
What stands out
Stellar’s script is stated as 5.4KB, with 16ms LCP impact. The site also states that its script is 25x smaller than competitors like VWO or AB Tasty and claims a 4.8 G2 rating for A/B testing.
Behavior analytics include heatmaps, journey mapping, and revenue-impact tracking. Heatmaps show where visitors click, how far they scroll, and what they skip. Stellar also states that its MCP server connects experiment data with Claude, Cursor, ChatGPT, and other MCP clients.
From the official site
Built for agencies and growth teams.
Pick the elements Stellar can change and the goal to improve. Autopilot writes a challenger, tests it against your best version, keeps the winner and starts the next test on top of it.
Excerpts from the official website, fetched October 1, 2026.
Where it sits in the data
Stellar's $2.5K MRR is higher than 84% of the 5,602 projects with payment-verified revenue in our dataset; the median across them is $150. Within the “No-Code” category (123 projects) it is higher than 85% (category median $169). Snapshot: 2026-09-02 to 2026-09-30. The dataset only covers founders who chose to publish their numbers, so it leans toward businesses that work; use it for scale, not as an average.
Currency
All figures are in US dollars as published. A rough yuan or euro conversion is not applied here because prices, taxes and acquisition costs differ by country.
Could you build something like this?
In my view, this needs real work. Demand comes from agencies, growth teams, CRO specialists, and marketing directors that need to run experiments and inspect visitor behavior. Distribution would have to reach those buyers through free trials, demos, setup guidance, and integrations with the platforms listed on the site.
The difficult parts are statistical testing, reliable analytics, integration maintenance, editor performance, and support across several website platforms. Regulation is not the central challenge described here, but implementation accuracy, data handling, and competition for agency and growth-team attention matter.
Verdict: Needs real work.
One thing to take from it
Stellar combines visual experiments, automated challengers, AI-assisted copy, heatmaps, and analytics in one platform. Its strongest product hook is the no-code workflow, supported by a 5.4KB script and stated 16ms LCP impact.
Sources
- Stellar official website, fetched October 1, 2026
- TrustMRR: revenue verified through the payment provider's API by TrustMRR (Stripe), as of September 30, 2026
Revenue, team and start-cost figures are what the founder reported at the interview date, not current figures and not a prediction of what you will earn. Product and pricing facts come from the business's own website as checked on 30 September 2026. Method & sources · Disclosure