The short version
Freelance developer websites are sold on technical credibility. Prospects land from a referral, a HN/Reddit comment, or a portfolio search, and decide in 90 seconds whether you're the right engineer for their problem. The conversion path: prove the stack (specific technologies, not 'full-stack'), prove the work (named clients, named outcomes, GitHub stars), prove availability (current rate, when can you start), and route to a call or a Stripe deposit.
Website Killer generates the developer site from a prompt: hero with primary stack + specialty, case studies with specific outcomes and metrics, GitHub / open source contributions surfaced, services with rates, current availability, contact form or Cal.com booking. Person schema with affiliations (prior companies, open source projects) is wired automatically.
The differentiator most developer sites miss: specificity. 'Full-stack web developer' converts 4x worse than 'Go + Postgres backends for fintech SaaS, $200/hr'. The AI biases toward concrete specialty when the prompt is concrete.
What freelance developers sites must have
- Hero with primary stack + specialty (specific, not 'full-stack')
- Case studies with named clients, problems, technical stack, outcomes
- GitHub / open source surfaced (stars, projects, contributions)
- Services with rates ($200/hr or $25K/mo retainer)
- Current availability ('Booked through May, open June' or 'Currently available')
- Contact form + Cal.com booking link
- About with bio, prior companies, languages
- Person + Service schema for entity SEO
Why Website Killer for freelance developers
- Person + Service schema baked in
- Brutalist-dev or editorial templates that signal engineering credibility
- Source-code export — your site is your portfolio, you own the code
- Custom domain matching your name
- Sub-1.5s LCP — performance is the signal
What great looks like
Freelance developer sites that book contracts share five traits.
- Stack specificity in the hero — 'Go + Postgres backends for fintech' beats 'full-stack web developer'
- Named outcomes with metrics — 'reduced p99 latency 60%' beats 'improved performance'
- Rate visible — '$200/hr or $25K/mo retainer' filters serious clients in
- Open source signal — GitHub stars, talks given, libraries published earn the call
- Availability current — 'Booked through May, open June' is more credible than 'always available'
Worked examples
Prompts that work
Two prompts you can adapt. The more concrete the prompt, the less editing afterward.
Senior backend engineer specialty
Site for [name], freelance senior backend engineer (Go, Rust, distributed systems, 12 yrs). Hero: 'Go + Rust backends for high-throughput systems.' Case studies: 5 with metrics (cut p99 60%, 500K events/sec, etc.). GitHub: 5 projects with star counts. Services: $250/hr or $30K/mo retainer (60% capacity). Availability: 'Booked through May 30, open June 1.' Talks: 4 conferences. Style: brutalist-dev, monospace, dark mode default.
Why this works · Backend specialty prompts should lean technical + show GitHub. The AI biases toward brutalist-dev template and surfaces GitHub above 'about.'
Fractional CTO / engineering leader
Site for [name], fractional CTO for seed-to-series-B SaaS (5 yrs as fractional, 15 yrs as operator). Hero: 'Fractional CTO for seed → series-B SaaS.' Engagement types: full-fractional (3 days/wk, $25K/mo), part-fractional (1 day/wk, $12K/mo), 3-month founder-CTO bridge ($60K). Past engagements: 6 anonymized. Specialties: building first engineering team, architecting for scale, technical due diligence. About: prior companies + GitHub. Style: editorial, restrained.
Why this works · Fractional roles convert on engagement-type clarity. The prompt names every tier so the AI features them as a price/scope comparison.
Avoid these
Common mistakes
- Generic 'full-stack web developer' positioning — pick a stack and a specialty
- Case studies without metrics — 'built an app' is invisible; 'cut p99 60%' is hireable
- Hidden rate — 'inquire' filters serious clients out at the developer tier
- Missing GitHub / open source signal — developer credibility leans on it
- Generic templated design — engineers spot it instantly; performance + design quality both signal
Internal links
Related surfaces
Use cases
Personas
FAQ
Frequently asked questions
Does the site work for fractional / part-time engagement models?
Yes — describe each engagement type in your prompt (full-fractional, part-fractional, project-based) and the AI renders them as a price/scope comparison. Fractional roles convert better when the engagement tiers are visible than when 'rate' is generic.
Can I surface my GitHub / open source contributions?
Yes — describe your top projects in your prompt with star counts and the AI features them as cards. GitHub is the developer's portfolio; surfacing it earns the call.
How do I handle the 'available now' vs 'booked out' signal?
Edit the hero or a dedicated availability block via chat-edit. 'Available now' converts better than 'booked through Q3' for short-term contracts; 'booked through May, open June' converts better for project-based engagements. Update as your calendar changes.
Does the site include Person + Service schema?
Yes — Person schema with alumniOf (prior companies), knowsAbout (technologies), and seeks (service offerings), plus Service schema for each engagement type. Combined with a custom domain matching your name, that's the foundation for ranking #1 for your name.
Can I export the source code of my own site?
Yes — your site exports to clean Next.js source code (yours to host on Vercel, Netlify, your own infra). Most senior developers do this — partly for ownership, partly because the export is a public signal of 'I own my stack.'
How is this different from a GitHub Pages site or a custom build?
GitHub Pages is fine but takes a weekend to design and ranks worse than a Next.js site with proper SEO baked in. A custom build is great if you have a weekend and a designer; Website Killer compresses both into 10 minutes from a prompt. Most developers who use Website Killer for their own site keep the export and iterate from there.
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