Can I vibecode One Place?

price $39/moyou'd save $468/yrbuild time multi-weekcategory ai-searchreplaced by 20 people
NOT REALLY
MOATproprietary datainfrastructure scale

You can build a scheduled personal property monitor, but not One Place: the value is the maintained real-estate corpus, crawler fleet, AI extraction, deduplication, image/semantic search, geo enrichment, and constant source upkeep across millions of listings.

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The Build Prompt

copy it and go build
ready to paste · 1,813 chars
Build me a scheduled personal property monitoring agent, the honest consolation
build for One Place: it watches the sources I configure, it does not rebuild a
live nationwide real-estate index. Requirements:

- Node + Express + better-sqlite3 on localhost:4920, with a small web UI for saved
  searches, matches, and lead notes.
- Saved searches live in SQLite: name, source URLs, natural-language criteria, hard
  filters, cadence, email recipients, and last-run time.
- A node-cron runner wakes on each cadence, fetches configured source/search pages with
  Playwright, and stores raw HTML snapshots for debugging.
- Send cleaned listing HTML to an LLM API key from .env and extract strict JSON: title,
  price, currency, surface, rooms, location text, description, image URLs, source URL, and
  confidence.
- Match each extracted listing against the saved search criteria with deterministic
  filters first, then an LLM yes/no explanation for fuzzy preferences like renovation
  potential or sea view.
- Store listings and match decisions in SQLite, dedupe by canonical URL first and fuzzy
  title+price+surface+location second; keep price-change history.
- Email new matches via Resend or SMTP creds in .env, including the match reason, key
  fields, source link, and unsubscribe/disable link for that saved search.
- Include an MCP server exposing tools: list_saved_searches, run_search_now,
  get_recent_matches, explain_match, update_search, and add_lead_note, so Claude/Codex can
  operate it from chat.
- No accounts, no telemetry, binds to localhost only. Out of scope: nationwide coverage,
  anti-bot arms races, paid data resale, mobile apps, and collaborative CRM.
- README: crawler ethics, robots/terms warning, required API/email keys, how to run the
  scheduler, and how to connect the MCP server.
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What you lose

  • Hosted infrastructure and managed operations from One Place
  • The original service's mature integrations and ecosystem

Why it still works

💎 proprietary data · 🏗️ infrastructure scale

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Questions

5 answers