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Scrapes a property listing or email on screen, pulls comps and trends, and runs a mortgage + monthly P&L. RE-SIM turns any property listing into a full deal analysis in seconds — right in your browser. Open a listing on Zillow, Redfin, or Realtor.com, click Scan, and RE-SIM reads the property details and drops them into an editable analysis panel. Every field is yours to adjust, so you can model the deal exactly the way you underwrite it. WHAT IT DOES - Scans the listing on the page and auto-fills property type, beds, baths, square footage, year built, days on market, and price. - Runs a full mortgage breakdown — principal & interest, taxes, insurance, total monthly payment, down payment, and cash to close. - Builds a monthly profit-and-loss with rent, expenses, HOA, CapEx reserve, monthly cash flow, and cash-on-cash return. - Lets you enter comps (rent, sale price, days to lease/sell, HOA) to drive the numbers. - Models different strategies and a multi-year forecast so you can compare exit scenarios. WHO IT'S FOR Real estate investors, agents, and anyone sizing up a rental or flip who wants fast, honest numbers without leaving the listing page. HOW IT WORKS Everything runs locally in the side panel. Your settings stay on your device. Nothing is required to get started — open a listing, scan, and analyze. RE-SIM is a decision-support tool. It provides estimates based on the inputs you enter and is not financial, investment, or lending advice.
Jul 10, 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.