One of the first production SEO A/B testing platforms.
Co-founded the platform; ran it as Technical Director for two years. Tested page-level SEO changes against control cohorts of search-engine bots, surfaced the wins, shipped them at scale. Clients included Greenpeace.
In one paragraph.
Polkadot Tiger was a B2B SaaS platform for SEO A/B testing — splitting a site’s pages into test and control buckets, serving different variants to search-engine crawlers, and measuring the impact on rankings and organic traffic over weeks. We built it because most SEO "wins" were intuition without proof.
I ran the technical side: platform architecture, data pipeline, team. Co-founded with two others. Foundational chapter; it’s where I learned to ship infrastructure that businesses depended on.
The motivation.
SEO in 2020 was the last major part of digital marketing still running on gut feel. Everyone A/B-tested checkout flows; nobody A/B-tested category pages. The platform existed to fix that. The bet wasn’t wrong — the timing was a little early for the market.
The features that matter.
Page-level test engine
Split a site’s pages between variants; serve consistently to crawlers; measure over time.
Stat-sig analytics
Built proper statistical testing into the dashboard. Surfaced wins, suppressed noise.
Client onboarding
Worked directly with agencies and in-house SEO teams; clients incl. Greenpeace.