How to vibe codeNightwatch
Advanced SEO performance and AI visibility monitoring platform
nightwatch.io ↗SEO & AI Visibility SaaS
The verdict: can you vibe code Nightwatch?
Build a simplified keyword and LLM citation tracker subset for personal use, but keep paying for the real product if you need enterprise-scale proxy infrastructure and 107,000-location precision.
Replicating Nightwatch as a solo developer hits a massive engineering wall at the scraping and proxy layer. While you can easily build the dashboard UI and orchestrate LLM prompts via APIs to track ChatGPT and Claude mentions, fetching search engine results across 107,000 zip codes daily without getting blocked by Google requires managing rotating residential proxy pools, handling complex CAPTCHAs, and maintaining raw HTML snapshot storage at scale. For personal use, you can scope down to a personal keyword tracker using headless browsers and structured LLM queries, but building production-grade SERP scraping infrastructure is a full-time engineering enterprise.
Estimated effort: 3-4 months of part-time work
What you can't replicate
- Proprietary global data centers with direct unblocked access to search engine indexes
- Guaranteed 99.9% rank-tracking accuracy backed by 3-year raw HTML snapshot archives across 107,000+ zip codes
- Enterprise-grade SLA support and native Looker Studio connectors
Founded
2016
Raised
$0
Team
10-50
Cheapest paid tier
€79/mo
What Nightwatch does
Tracks traditional search engine rankings down to zip-code levels and uniquely unifies them with Citation Intelligence—an AI visibility layer tracking brand mentions across major LLMs and AI search engines.
Core features
- Multi-engine rank tracking (Google, Bing, YouTube, Yahoo, DuckDuckGo)
- Zip-code level hyper-local tracking across 107,000+ locations
- Citation Intelligence: LLM visibility & mention tracking (ChatGPT, Claude, Gemini, Perplexity)
- Raw HTML SERP snapshot archiving for data verification
- Automated technical site auditing and page crawling
- White-label client reporting and custom PDF generation
- Keyword clustering, gap analysis, and content opportunity recommendations
- REST API and MCP server integration for AI assistants
The business
Pricing
- Starter€79/mo
- Professional€159/mo
- Agency€399/mo
Funding
$0
Pay vs build, cumulative
Break-even at month 1 — after that, every month is money kept.
The hard parts of vibe coding Nightwatch
- Large-scale SERP scraping infrastructure that bypasses aggressive anti-bot defenses without burning proxies
- Precise local zip-code parameter simulation across global data centers
- Orchestrating multi-model LLM prompts at scale to parse unstructured brand citations and sentiment
- Time-series data architecture storing millions of historical SERP snapshots and ranking evolutions efficiently
How to vibecode Nightwatch
Prerequisites
Node.jsfree
Runtime for Next.js web application and background ingestion workers
GitHubfree
Source control and CI/CD deployment pipeline integration
AI coding tools
Recommended stack
| Frontend | Next.js with Tailwind CSS and Recharts |
|---|---|
| Backend | Next.js Server Actions & API Routes with BullMQ |
| Database | Turso (SQLite at the edge) |
| Auth | better-auth |
| Payments | none |
| Other | Vercel AI SDK, Firecrawl, Resend |
Build guide
01Project Scaffolding & Database Schema
Initialize the Next.js application with TypeScript, Tailwind CSS, Turso database connection, and better-auth user authentication.
Scaffold a new Next.js project with TypeScript, Tailwind CSS, and App Router. Set up Turso database client using `@libsql/client` and configure better-auth for single-user authentication. Create database tables for `websites`, `keywords`, `rankings` (with columns for position, search volume, raw HTML snapshot text, and recorded date), `ai_prompts`, and `ai_citations` (tracking model name, brand mentioned, sentiment, and response text). Ensure proper relational foreign keys and indexes on `keyword_id` and `website_id` for fast time-series queries.02Dashboard Layout & Metrics Overview
Build the core analytics dashboard featuring sparklines, position evolution charts, and pinned tracking items.
Build a responsive Next.js dashboard mimicking Nightwatch's dark/light interface using Tailwind CSS. Create a main overview page with summary cards for Average Position, Search Visibility, AI Visibility score, and Click Potential. Use Recharts to render position trend lines and historical sparklines. Implement a modular grid layout supporting pinned items, tag filtering, and date range pickers (7D, 30D, 3M, 1Y).03SERP Scraping & Snapshot Engine
Implement background workers using Firecrawl or headless scrapers to fetch search engine results and store raw HTML snapshots.
Implement a background worker module using BullMQ and Node.js that accepts target keywords and domains for Google and Bing. Integrate Firecrawl API or headless browser automation to fetch search engine results pages (SERPs) for specified locations. Parse ranking positions, store the complete raw HTML response in the `rankings.snapshot_html` column for auditing, and calculate the current ranking position. Handle rate limiting and retry backoff gracefully.04Citation Intelligence & LLM Tracking
Build the AI visibility layer that queries LLMs with specific prompts to check for brand mentions, sentiment, and citations.
Create an AI tracking module using the Vercel AI SDK to programmatically query OpenAI, Anthropic, and Perplexity APIs with user-defined prompt strings (e.g. 'best hotel booking site'). Send structured system prompts asking the model to evaluate the top recommended brands, check if our target domain is cited or recommended, and output JSON containing `mentioned: boolean`, `sentiment: 'positive'|'neutral'|'negative'`, and `share_of_voice_percentage`. Store results in `ai_citations` and link them to corresponding keyword visibility data.05Reporting & REST API Integration
Develop white-label PDF report generation and a developer-friendly REST API for exporting tracking metrics.
Build a white-label reporting interface where users can customize report logos, colors, and metrics blocks, and export them as clean PDF summaries using `react-pdf`. Additionally, implement a secure REST API route protected by API keys (`/api/v1/rankings` and `/api/v1/ai-visibility`) allowing external tools or MCP clients to query keyword positions and citation history programmatically.
Cost vs paying for Nightwatch
What will you build it with?
Starting total with Claude Code$0 one-time
Starting costs (one-time)
- Domain name (optional)$12/yr
Total~$12 one-time
Ongoing costs (monthly)
- Fly.io background workers$5/mo
- LLM & Scraping API credits~$10/mo
Total~$15/mo
Paying for Nightwatch
€79/mo (Starter) to €159/mo (Professional)
Your time to build
40-60 hours
AI tool credits
$20 (Claude Code / Cursor Pro)
Break-even
Depends on scale; built for personal utility rather than cost savings
Vibe code Nightwatch: FAQ
- Can you vibe code Nightwatch yourself?
- Serious undertaking — 35/100 vibecodeable. Build a simplified keyword and LLM citation tracker subset for personal use, but keep paying for the real product if you need enterprise-scale proxy infrastructure and 107,000-location precision.
- How long does it take to vibe code Nightwatch?
- 3-4 months of part-time work — roughly 40-60 hours of hands-on time with an AI coding agent.
- How do you build your own Nightwatch?
- Scoped to personal use: Next.js with Tailwind CSS and Recharts on the front, Next.js Server Actions & API Routes with BullMQ behind it, Turso (SQLite at the edge) for data. Follow the 5-step build guide on this page — each step has a paste-ready prompt for an AI coding agent.
- How do you code your own Nightwatch 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: 3-4 months of part-time work. The prompts on this page are written so the AI does the heavy lifting.
- How much does it cost to vibe code Nightwatch instead of paying?
- About ~$12 one-time to start and ~$15/mo to run, versus €79/mo (Starter) to €159/mo (Professional) for Nightwatch. Break-even: Depends on scale; built for personal utility rather than cost savings.
- What stack should you use to vibe code Nightwatch?
- Next.js with Tailwind CSS and Recharts; Next.js Server Actions & API Routes with BullMQ; Turso (SQLite at the edge); plus Vercel AI SDK, Firecrawl, Resend.