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REPLACEMENT BRIEF

ai search

Can AI replace One Place?

EDITORIAL ANSWERNOT REALLYCurated prompt

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.

See the closest workaround →

AT A GLANCE

price
$39/mo
listed annual price
$468/yr
replaceable scope
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.
build time
multi-week

what AI can build

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.

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.

The prompt was editor-reviewed; no completed build is recorded.

The honest tradeoff

who should keep paying

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.

what you lose

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

Start with existing software

prior art · use these instead of building, if you'd rather

No mature prior art is listed yet. The workaround prompt below is still an unverified starting point.

EVIDENCE LEDGER

What this page can prove

The verdict judges replaceability. The evidence level records what DeepFeather actually checked.

Read the methodology →
evidence level
Curated prompt

The prompt was editor-reviewed; no completed build is recorded.

replacement boundaryRun 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.

known limits · millions of already-normalized listings; maintained crawlers across real-estate portals

editorial reviewawaiting manual review
closest workaround promptsecondary workaround · reviewed prompt · not run

the prompt

Curated prompt
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.
Copy or open in an agent

The prompt stays readable first. Choose a launch option when you are ready.

$ open in your agent (prompt prefilled, you press enter) or copy it raw

BUILD FEEDBACK

Did you try this build?

Report the outcome. Submissions enter a manual evidence queue and never auto-upgrade the verdict.

Perplexity
$20/mo · ai searchKINDAReplit
$25/mo · dev toolsKINDAZapier
$29.99/mo · automationKINDA

questions

Can AI replace One Place?

Not really. One Place's value is not just interface code — proprietary data/crawler scale/AI extraction pipeline. See the honest breakdown above.

How much does One Place cost?

One Place is listed at about $39/month (Pro, checked 2026-07-31), or $468 per year. This is a pricing reference, not evidence of a completed replacement or realized savings.

What do I lose by replacing One Place?

Honestly: 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. If any of those are load-bearing for you, keep paying.

Is there an open-source alternative to One Place?

No mature open-source alternative is listed yet. The prompt is an unverified starting point, not proof that a one-shot replacement will work.