AI analysis grounded in the code graph — computed facts, not vibes · 2026-09-08T03:03:19Z
OpenSEO is a TypeScript web application that provides SEO workflows — keyword research, rank tracking, competitor insights, backlinks, site audits and AI-visibility analysis — built on top of DataForSEO's paid data API. It targets developers and SEO practitioners who would otherwise pay for Semrush or Ahrefs, letting them self-host (Docker or Cloudflare Workers) or use a hosted version at openseo.so, and bring their own DataForSEO API key so they pay only for API usage rather than a subscription.
The star spike coincides with an active release cadence (v0.0.26 through v0.1.1 in roughly two weeks) and commit activity explicitly aimed at self-host reliability (fix(self-host): unbreak the Deploy to Cloudflare button) and marketing pushes ("Refresh homepage messaging and Product Hunt banner", "Redesign the BadSEO home and landing lab experience"). The README's positioning against expensive incumbents (Semrush/Ahrefs) plus a distinct MCP/AI-agent angle ("Best in class MCP and AI Skills") is a plausible driver, though the graph facts alone don't quantify referral sources — the growth is consistent with a Product Hunt-style launch rather than purely organic technical adoption.
What changed recently, how it's actually built (from the code graph), and whether you should care. Free account — no card, no spam.