The verdict: can you vibe code Sitebulb?
Build a scaled-down web scraping dashboard instead, because replicating Sitebulb's multi-threaded crawler, Chromium rendering cluster, and 300+ SEO hint rules requires months of low-level systems engineering.
Sitebulb is an engineering masterpiece disguised as an SEO tool. The core challenge is not the UI dashboard; it's writing a fault-tolerant asynchronous web crawler in a language like Go or Rust that handles circular redirects, malformed HTML, and rate limits, coupled with a headless Chromium rendering pool that does not exhaust system memory. Storing half a million crawled pages with all outgoing links, response headers, and asset trees requires robust local relational storage and heavy indexing. While an AI agent can scaffold the frontend and basic scraper scripts, debugging edge cases like client-side DOM hydration failures, connection timeouts, and memory management across massive link graphs will consume weeks of frustrating debugging.
Estimated effort: 3-6 months of part-time development
What you can't replicate
- The exact depth and edge-case tuning of 300+ specialized technical SEO rules
- Seamless local-to-cloud transition handling millions of link graph nodes smoothly
- Years of battle-tested robustness against hostile or malformed target websites
Founded
2017
Raised
—
Team
Small boutique team
Cheapest paid tier
$18/mo
What Sitebulb does
A technical SEO auditing platform that crawls websites to discover, analyze, and prioritize search engine optimization and security issues across 300+ automated hints.
Core features
- Multi-threaded asynchronous web crawler respecting robots.txt
- Headless Evergreen Chromium rendering engine for JavaScript-heavy sites
- Local embedded relational database storing billions of link graph nodes
- Over 300 automated technical SEO and security Hint rules
- Audit comparison engine tracking metric deltas over time
- Customizable PDF report generator and CSV/Sheets exports
The business
Pricing
- Lite (Desktop)$18/mo
- Pro (Desktop)$42/mo
- Cloud Mini$125/mo
Funding
Unknown / bootstrapped
Pay vs build, cumulative
Break-even at month 1 — after that, every month is money kept.
The hard parts of vibe coding Sitebulb
- Building a performant crawler engine that processes millions of pages without memory leaks or getting banned
- Scaling headless browser rendering to evaluate client-side frameworks without crashing local RAM
- Designing a local database schema and indexing strategy capable of sub-second relational graph queries across 500,000+ nodes
- Implementing 300+ deterministic SEO and security rule evaluations accurately against raw DOM trees
How to vibecode Sitebulb
Prerequisites
Node.jsfree
Required for running the full-stack web application interface and backend crawler runner.
GitHubfree
Version control and repository management for your codebase.
AI coding tools
Recommended stack
| Frontend | Next.js |
|---|---|
| Backend | Next.js API Routes / Node.js worker service |
| Database | Turso |
| Auth | better-auth |
| Payments | none |
| Other | Playwright, Tailwind CSS, shadcn/ui |
Build guide
01Project Scaffolding & Database Schema
Initialize the Next.js application with Tailwind CSS, shadcn/ui, better-auth, and Turso SQLite database connections for storing sites, audits, pages, links, and hints.
Scramble a new Next.js project configured with TypeScript, Tailwind CSS, and shadcn/ui. Set up better-auth for local user authentication. Configure a Turso SQLite database client using libSQL. Create a comprehensive relational database schema with tables for 'projects', 'audits', 'pages' (storing URL, status code, title, meta description, depth, response time), 'links' (source page ID, target URL, anchor text, follow/nofollow), and 'hints' (page ID, hint code, severity, message). Ensure proper indexing on foreign keys for fast relational lookups.02Asynchronous Web Crawler Engine
Build a robust, concurrent web scraper worker in Node.js utilizing Playwright and Axios to fetch pages, parse HTML using Cheerio, extract links, and respect depth limits.
Build a robust asynchronous web crawler service in Node.js designed to run as a background worker. The crawler must take a seed URL, respect crawl depth limits (e.g., max depth 10), parse 'robots.txt' before crawling, and maintain a visited URL set to prevent loops. For each fetched page, extract the HTTP status code, response time, title tag, meta description, canonical tag, headings (H1-H6), and all internal/external anchor links. Store the raw page metrics and link relationships in the Turso database in batches to handle thousands of pages efficiently without memory exhaustion.03JavaScript Rendering & DOM Extraction
Integrate headless browser execution via Playwright to evaluate client-side rendered Single Page Applications and compare raw response vs rendered DOM.
Enhance the crawler worker to support optional JavaScript rendering using Playwright. When JavaScript crawling is enabled for a project, launch a headless browser context, navigate to the target URL, wait for network idle, and extract the fully rendered DOM tree. Compare the raw HTML response body against the rendered DOM to identify content discrepancies (e.g. missing links or text only present after hydration). Store these comparison metrics in the page record.04Automated Hints Rule Engine
Implement a deterministic rules engine executing over 300 technical SEO and security checks against stored crawl data, categorizing findings into Critical, High, Medium, and Low severity.
Write a modular rule engine service that executes automated checks ('Hints') against the crawled pages and link graph stored in the database. Implement at least 30 core SEO and security rules: missing H1 tags, duplicate title tags, broken internal links (404 responses), chains of redirects (>2 hops), non-secure HTTP links on HTTPS pages (mixed content), missing meta descriptions, and orphaned pages with zero internal links. Each triggered rule must generate a 'hint' record linked to affected pages with assigned severity levels (Critical, High, Medium, Low) and explanatory educational text.05Audit Dashboard & Visualizations
Build interactive dashboard screens displaying audit overview metrics, severity distribution charts, crawl maps, and filterable URL data tables.
Build a comprehensive audit dashboard UI in Next.js using Tailwind CSS and shadcn/ui. Create an overview page displaying key crawl metrics (total pages crawled, average response time, overall health score) and charts breaking down issues by severity using Recharts. Add a filterable, sortable URL Explorer data table allowing users to search pages by status code, content type, title, and assigned hints, with pagination and CSV export functionality.06Audit Comparison & PDF Exporting
Implement audit comparison logic to highlight metrics that changed between consecutive runs and generate clean client-facing reports.
Implement an audit comparison feature allowing users to select two completed audits for the same project and view side-by-side metric deltas (e.g., fixed issues, new issues introduced, pages added or removed). Add a report generation view optimized for printing and PDF export, presenting executive summaries, prioritized hints lists, and charts suitable for client presentations.
Cost vs paying for Sitebulb
What will you build it with?
Starting total with Claude Code$0 one-time
Starting costs (one-time)
- Domain name$12/yr
Total~$12 one-time
Ongoing costs (monthly)
- Fly.io worker VM hosting$8/mo
- Turso database storage$0/mo
Total~$8/mo
Paying for Sitebulb
$42/mo (Pro)
Your time to build
40-60 hours
AI tool credits
~$20 (Claude Pro)
Break-even
Not financially rational (purely for educational mastery of web scrapers and graph databases)
Vibe code Sitebulb: FAQ
- Can you vibe code Sitebulb yourself?
- Serious undertaking — 38/100 vibecodeable. Build a scaled-down web scraping dashboard instead, because replicating Sitebulb's multi-threaded crawler, Chromium rendering cluster, and 300+ SEO hint rules requires months of low-level systems engineering.
- How long does it take to vibe code Sitebulb?
- 3-6 months of part-time development — roughly 40-60 hours of hands-on time with an AI coding agent.
- How do you build your own Sitebulb?
- Scoped to personal use: Next.js on the front, Next.js API Routes / Node.js worker service behind it, Turso for data. Follow the 6-step build guide on this page — each step has a paste-ready prompt for an AI coding agent.
- How do you code your own Sitebulb without being an expert?
- Use an AI coding tool (Claude Code or Cursor) and work in small steps: scaffold, data model, core screens, then deploy. Realistic effort: 3-6 months of part-time development. The prompts on this page are written so the AI does the heavy lifting.
- How much does it cost to vibe code Sitebulb instead of paying?
- About ~$12 one-time to start and ~$8/mo to run, versus $42/mo (Pro) for Sitebulb. Break-even: Not financially rational (purely for educational mastery of web scrapers and graph databases).
- What stack should you use to vibe code Sitebulb?
- Next.js; Next.js API Routes / Node.js worker service; Turso; plus Playwright, Tailwind CSS, shadcn/ui.