On May 24, 2026, I had a conversation with ChatGPT about the business models of Base44 and 10Web. Two weeks later, OverflowForge was live — an open-source AI Programmatic SEO Platform with a working SaaS backend, deployed to production, with real SEO data flowing through it.
Here’s exactly what happened, day by day.
The initial spark was a simple question: “What if AI didn’t just build websites — what if it built SEO strategies?”
We analyzed 30+ competitors across four categories:
Key finding: Nobody connects all four layers — market research → SEO strategy → site building → deployment → monitoring. Every tool is a point solution. Users stitch together 4-6 tools at $300-800/month.
The existing website-generator project had 5 Python modules covering the full pipeline. We renamed everything to OverflowForge and enhanced each module:
competitor_intel.py → crawl competitors, analyze SEO signals
seo_engine.py → keyword expansion, clustering, content calendar
design_intel.py → extract design tokens from winning sites
site_builder.py → scaffold Astro static sites with Schema + llms.txt
deployer.py → one-click deploy to VPS, Vercel, or CloudflareThe deployer got the biggest upgrade — it now SSHs into customer VPSes, bootstraps the server environment, configures Nginx/Caddy, provisions SSL, and deploys. All in one command.
Heuristic keyword analysis wasn’t going to cut it. We integrated DataForSEO API for real search volume, keyword difficulty, CPC, and competition data.
The seo_engine.py now runs in dual mode:
An SEO plan that used to be templates and guesses now shows actual search volumes, competition scores, and commercial intent.
The CLI tools were great for developers, but SEO agencies need a dashboard. We built a FastAPI backend with:
17 new files, 1,400 lines of backend code. Deployed to a UK VPS with nginx reverse proxy and Cloudflare CDN.
Built the product website using our own site_builder.py (dogfooding from day one):
The whole site is open source at github.com/overflowforge/landing.
The core differentiator — a template + dataset engine that generates hundreds of pages from one keyword:
engine = PSEOEngine()
engine.load_dataset("cities.csv") # 500 cities
engine.use_default_templates("city_landing")
engine.generate("best hotels", "hotels/{slug:city}")
# → 500 pages, each with unique content, schema, internal links, sitemap4 pre-built templates (city landing, product comparison, FAQ, review roundup) with content variation to avoid duplicate content penalties.
Two weeks from idea to deployed SaaS with working auth, billing, and SEO pipeline would have taken a 3-person team 3-4 months in 2023. AI-assisted development compresses that by 10-20x.
Making the core MIT-licensed builds trust that no amount of marketing copy can match. Users can see exactly what the deploy agent does before installing it on their server.
The dashboard is still rough. Stripe isn’t fully wired. The pSEO engine needs more templates. But the product is live, the API works, and real users can sign up today. Everything else is iteration.
OverflowForge is open source. Star us on GitHub or try the cloud version.