5 items
Save housing search pages you already opened, then rank them locally by true cost, bedrooms, reviews, and commute. Property Hub ranks housing listings you already looked at. You filter Zillow, Redfin, or Apartments.com yourself. Then you save that page. Scoring, notes, savings math, and the shortlist stay in Chrome storage on this computer. What it does - Saves the search list or single listing already on your screen - Ranks by true monthly cost, bedrooms, reviews, and commute - Uses income plus HYSA / savings to recommend how much cash to keep, how much to use as a down payment, and whether to rent or buy a condo, townhouse, or house - Lets you shortlist, note, compare 2–3 homes, export CSV, and back up or share a JSON file - Optional live drive/walk/transit minutes if you add your own Google Distance Matrix key Pricing - Free 14-day trial after install - Then a $9.99 one-time license: https://guzmaniac353.gumroad.com/l/ncmukz - Paste the Gumroad license key in the dashboard to keep saving listings - Listing data stays on your device. Checkout is on Gumroad, not inside Chrome. What it does not do - It does not log into listing sites for you - It does not bypass bot checks or call unofficial listing APIs - It does not send your pool to a Property Hub server How to use it 1. Set income, monthly cap, and HYSA / savings 2. Filter beds and price on the listing site, wait for the list 3. Click Save this page (popup or the on-page bar) 4. Open the dashboard — it ranks the pool and calls rent vs condo vs townhouse vs house Not affiliated with Zillow, Redfin, Apartments.com, or Google.
Aug 21, 2026
rating_count is the Chrome Web Store ratings count, not a written-review count.
Media assets
Screenshots and videos on the listing.
Has promo video
Whether the listing includes at least one video.
Languages
Declared language locales.
Developer website
Listing exposes a developer website URL.
Contact email
Listing exposes a contact email.
Keyword in name
Case-insensitive substring match in the name.
Keyword in description
Case-insensitive substring match in the description.
Keyword occurrences in description
Count of case-insensitive occurrences in the description.
Category user-count percentile
Share of same-category extensions with fewer users (null if unknown).
These are transparent listing completeness / keyword signals, not a prediction of Chrome Web Store search ranking.