Data, strategy, and product thinking from the Letswork team. Coworking utilization, flexible office economics, and how AI is changing workspace matching in Dubai.
The matching algorithm at the core of Letswork does more than filter by location. Here is a look at how it scores available inventory against member preferences and why that ranking matters for both sides of the platform.
Read ArticleAggregated occupancy patterns from DIC coworking spaces in early 2026. Which days fill fastest, which slots stay empty, and what the data suggests about demand timing.
What does a filled off-peak hour actually contribute to operator revenue? A walk through the unit economics of flexible desk pricing and how demand routing changes the math.
The traditional coworking membership model worked well for a different era. Here is how pay-per-use booking is changing the economics for both operators and flexible workers.
What types of workspace are available in DIC, how they differ in price and access model, and how to find the right fit for how you actually work week to week.
Static availability calendars tell you what was booked, not what is actually occupied. How real-time occupancy data changes what you can do with a workspace platform.
The hidden cost of underutilization is not just the empty chair. It is the pattern of off-peak hours that operators cannot see clearly enough to act on. What makes those gaps so persistent.
Six weeks of beta with eight DIC operators reshaped the product. What they told us about the dashboard, the booking flow, and what we had gotten wrong in the initial build.
The conditions that make the Gulf a compelling market for proptech investment right now. Density, government infrastructure push, and the gap between available supply and visible demand.
Beyond the obvious revenue miss, empty desk time carries compounding costs for coworking operators: fixed overhead against variable yield, staff time on low-value coordination, and signal loss on what the market actually needs.
Booking frequency data shows when members are drifting before they cancel. Patterns in declining bookings, failed searches, and time-slot shifts that predict churn before it happens.
Most coworking operators do not have IoT infrastructure. How we built an occupancy-aware matching system using booking signals, operator input, and lightweight check-in data instead of sensor hardware.
The first version of the Letswork matching algorithm was too location-heavy. This is the story of what we got wrong in v1, how member behavior data shifted our thinking, and what the revised scoring model looks like.
