Sydney · Beta

orbit

Redefine living.

A map drawn around who you are — not just what you can afford. Seven questions, all of Sydney mapped, one honest answer.

Sydney-wide Real-world data 6D taste vector
Press Enter or Space to begin
Sydney, NSW Data Live · 2026-Q1 Sydney-wide
The map, personalized
Sydney, recolored for you. Green = strong fit, red = avoid.
Fit Score
AvoidNeutralStrong fit
Technical detail
  1. Every Sydney suburb has a 6-D taste vector over social_energy, aesthetic, pace, outdoor, culinary, community, built from OSM POI density + per-dimension percentile rank.
  2. Your quiz seeds a parallel 6-D user vector. Match score is mean-centred cosine similarity between the two, rescaled to 0–100, then softly gated by a logistic function of rent_2br / weekly_budget (0.3–1.0 multiplier; budget-over suburbs fade but don't disappear).
  3. The heatmap is a Leaflet GridLayer. For every ~5 px sample in each 256×256 tile we evaluate a Gaussian KDE over all 45 suburb centroids: fit(p) = Σ wᵢ · scoreᵢ / Σ wᵢ wᵢ = exp(−dᵢ² / (2σ²)), σ ≈ 2.4 km with a small neutral prior (weight 0.04 at score 50) so empty regions decay to grey instead of a random neighbour.
  4. The scalar fit is run through a 9-stop red → grey → green ramp; alpha scales with |fit − 50| so neutral areas read as background. A 2 px per-tile CSS blur removes the sample grid without blurring the basemap.

Toggle off to see the raw CARTO basemap + suburb polygons underneath.

What's on the map
·