Can AI replace One Place?
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.
01What it costs
Checked Aug 11, 2026 · source: one-place.com. The free plan gives unlimited search and saved searches, capped at 5 boards.
| Plan | Monthly | Billed yearly | What you get |
|---|---|---|---|
| Free | Free | Free | Unlimited search, favorites, saved searches and alerts; maximum 5 boards. |
| Pro | $45.06 | — | Unlimited boards plus lead pipeline, activity tracking and agentic search. |
Hidden costs: VAT is added where applicable. The annual discount/price was present behind a selector but not independently verifiable, so it is left null.
02Could AI build it for you?
The core job: Run saved searches on a schedule, crawl configured source pages, use an LLM API key to extract listing fields, dedupe into SQLite, email matching finds, and expose an MCP server for chat/coding agents.
What a working version needs:
- cron-style scheduled search runner
- Playwright scraping
- LLM API key for listing extraction
- SMTP or Resend email alerts
- MCP server for agent access
The scheduled personal monitoring agent is buildable. The market-wide index is the product.
03What you'd give up
- millions of already-normalized listings
- maintained crawlers across real-estate portals
- AI extraction, deduplication, and image/semantic search at scale
- geo/POI enrichment and currency/unit normalization
- hosted boards, lead pipeline, sharing, and agentic search
They pay because property search is a moving data pipeline: portals block scrapers, listing HTML changes, duplicates multiply, and the useful part is having the whole market normalized and searchable before a deal disappears.
05The build prompt
Paste this into an AI coding tool (such as Claude, ChatGPT, Lovable or Replit) to build your own version. Read the verdict first: this one is hard to get right.
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.
App prices, verdicts, alternatives and build prompts are adapted from Can I Vibecode It? (MIT License, © 2026 Rob Hallam). Each price shows the date it was checked and its source. Prices change; confirm on the vendor's site before you decide.
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