Your best move from your data
Your patterns by time of day from your trips
Around you context only
Quick ask
Ranked by YOUR earnings best → worst
Proven (your data)
Untested
You avoid
Proven areas are ranked by your own £/hr (or £/trip), recency-weighted. Untested areas have no trips yet — they're listed by distance (least dead miles) until you try them. Nothing here is a guess about demand; it's only what you've logged.
Recommendation accuracy does it actually work for you?
Today
Log a trip this is how it learns
Your best areas by your own fares
This week
Recent trips
Daily goal
Goal mode
Track your real earnings against a £ target
Daily target £
What you're aiming to earn today
Your preferences
Start hour
When your day usually begins
Finish hour
When you'd like to head home (a soft note, never blocks)
Rank by £/trip
On = favour bigger fares · Off = favour £/hour
Avoid city centre
Your choice — keep the city out of recommendations
Note weekend nights
Soft reminder Fri/Sat late — still ranks your data
Money
Minimum fare £
Hide areas whose own average is below this
Target £/hour
The line used to judge "worth it" + accuracy
Location
GPS needs https or localhost. If you opened this as a file, the browser blocks GPS — use Set my area instead (full drive-time maths still works).
Live data — optional context
Optional. If you deploy the included Worker, this adds live weather and airport arrivals as context only — they are never used to score or rank (that would be a guess). Leave blank to run standalone.
＋ Connect live data
GridIQ · built for Nabeel · evidence-only engine