Every condo and townhouse under $1M in Squamish — ranked by value, risk, and monthly carrying cost. Not just a listings feed. A decision engine.
The live dashboard → open it now
Scout scrapes, scores, and ranks every listing daily so you don't have to manually compare 127 properties.
Every morning, Scout pulls fresh listings from REW.ca and BCCondosAndHomes.com, updates sold prices, and flags new entries.
Each listing is scored on value vs market ($/sqft), monthly carrying cost, strata efficiency, building age, size, and flood risk. No guessing.
Adjust the preference wizard to match your priorities — affordability, location, transit access, sun exposure, space preference.
Star listings to build your shortlist, use the built-in checklist for visits, and get alerted when new high-score listings appear.
Every feature is designed to cut the noise and surface the properties worth your time.
A multi-component score that weights value, carry cost, building risk, size, and flood exposure. Positive = interesting. Negative = avoid.
Filter by price, beds, baths, sqft, DOM, strata, tax, PPSF, monthly PPSF, monthly total, score, neighbourhood, and more — all paired min/max.
Each area comes with a real-talk write-up: flood risk, leaky condo era buildings, who it suits, what to watch out for.
A live histogram shows how the visible listings distribute across score tiers — gold, green, and red — so you see the market shape at a glance.
Star properties to shortlist them, then open a structured visit checklist for any listing — designed to catch the things photos don't show.
Set a score threshold and get Telegram alerts when new listings meet your criteria — before they get more expensive or disappear.
Every listing shows an estimated all-in monthly: mortgage P+I + strata + property tax/12 + repair reserve. Not just the mortgage payment.
Adjust the scoring formula weights directly — tune the importance of each component (PPSF, carry, age, flood, location) to match your real priorities.
Known problem buildings — leaky condos, flood zone addresses, bad strata — are blacklisted and never surface in results or recommendations.
The market's most aggressively optimistic sellers. These listings score worst in the dataset — not because of bad luck, but because the numbers just don't add up.
High scores don't always mean safe buys. These listings rank well on paper — but something in the data deserves a second look before you get excited.
Each area has its own snapshot: active listings, market stats, known risks, and who it suits.
Open the dashboard, set your filters, and let the score do the work.