If you want a high-value app to build with OpenClaw / vibe coding, this one is strong: A Local Competitor Watchtower for home-service businesses that: - Tracks competitor Google reviews, ratings, and service pages by city - Detects changes (new offers, bad reviews, price language shifts) - Summarizes what changed with AI - Auto-generates action items:“Post this reply template”“Update this service page section”“Launch this local offer this week” This is an app owners will pay for monthly because it gives direct, usable growth actions. Copy/paste this prompt into OpenClaw: ACT AS: Senior Full-Stack Engineer + AI Product Architect PROJECT: Local Competitor Watchtower SaaS GOAL: Build a fullstack app where a home-service business can monitor competitors in a city/ZIP and get AI-generated weekly strategy actions based on: 1) review changes 2) website/service page content changes 3) offer/pricing language shifts STACK: - Next.js 14+ App Router - TypeScript - Tailwind + shadcn/ui - PostgreSQL + Prisma - Redis (queues/cache) - BullMQ worker - OpenAI API (analysis + recommendations) - Auth: NextAuth - Deploy target: Vercel (web) + Render (worker) - Optional APIs: SerpAPI / DataForSEO / custom scraper adapters CORE FEATURES: 1) Onboarding - User enters: business name, industries, target cities/ZIPs - User adds competitor list (name + domain + GBP link if available) - Save monitoring preferences (daily/weekly) 2) Competitor Data Collection - Scheduled jobs fetch: - latest rating + review count - new recent reviews and review text - service pages / offer pages content snapshots - Save normalized snapshots with timestamp 3) Change Detection Engine - Detect: - rating movement - review sentiment spikes - content diffs (headline, CTA, service copy, guarantee language) - offer changes (“free estimate”, “same-day”, financing terms) - Compute a change score (0-100) 4) AI Insight Generator - Given prior + current snapshots, output strict JSON: - key_changes[] - threat_level (low/med/high) - opportunities[] - recommended_actions[] (max 5) - suggested_campaign_ideas[] (max 3) - Recommendations must be concrete and local-market aware 5) Dashboard - Cards: - “Top competitor change this week” - “Review trend by competitor” - “Best opportunity to act on now” - Table of competitors with filters (city, industry, threat level) - Detail view for each competitor: - timeline - content diff - AI action plan 6) Action Center - Convert recommendation into: - CRM task - draft email - draft social post - draft local service page section - Mark action as done / snooze / assign 7) Notifications - Email digest weekly - Optional Slack webhook - Alert when threat_level=high DATABASE SCHEMA (Prisma models): - User - Organization - Competitor - MonitoredLocation - Snapshot - ReviewRecord - ContentSnapshot - ChangeEvent - InsightReport - ActionItem - NotificationPreference - JobRun Include key fields: - Competitor: name, domain, gbpUrl, industry, city, state - Snapshot: competitorId, capturedAt, sourceType, rawJson - ChangeEvent: competitorId, detectedAt, changeType, severity, summary - InsightReport: competitorId, periodStart, periodEnd, model, insightJson - ActionItem: orgId, competitorId, title, description, status, dueDate API ROUTES: - POST /api/competitors - GET /api/competitors - GET /api/competitors/:id - POST /api/monitor/run - GET /api/insights?competitorId=&range= - POST /api/actions - PATCH /api/actions/:id - POST /api/webhooks/slack-test WORKER JOBS: - collect-competitor-data - detect-changes - generate-insights - send-digest IMPLEMENTATION REQUIREMENTS: - Strong TypeScript typing end-to-end - Zod validation for all API payloads - RLS-style org scoping on all queries - Retry logic for failed fetches (3 attempts) - Idempotency keys for job runs - Proper loading/empty/error UI states - Unit tests for: - change detection - insight JSON parser - action-item creation flow UI PAGES: - /dashboard/watchtower - /dashboard/watchtower/competitors - /dashboard/watchtower/competitors/[id] - /dashboard/watchtower/actions - /dashboard/watchtower/settings DELIVERABLE: Generate: 1) Prisma schema additions 2) API route handlers 3) BullMQ worker processors 4) OpenAI prompt templates + parser 5) Dashboard React components 6) Seed script with demo competitors 7) README with local setup + env vars ENV VARS: - DATABASE_URL - REDIS_URL - NEXTAUTH_SECRET - NEXTAUTH_URL - OPENAI_API_KEY - SERP_API_KEY (optional) - SLACK_WEBHOOK_URL (optional)