Real-time insights from monitoring restaurant availability across Resy, OpenTable, Tock, and SevenRooms. Updated daily.
When cancellations and new slots are most frequently detected (Eastern Time)
ReservationFinder's data shows 10 AM ET is the peak time for cancellation and new slot detection, with 1,920 detections over the last 30 days. Secondary peaks occur at 8 PM ET (1,806 detections) and 12 PM ET (1,588 detections). This suggests that diners are most likely to cancel reservations in the early-to-mid afternoon, creating the best window for finding last-minute tables.
Distribution of detected slots by reservation platform (last 30 days)
According to ReservationFinder's data, RESY accounts for 54.9% of all detected table availability (7,222 slots), OPENTABLE accounts for 38.6% of all detected table availability (5,080 slots), SEVENROOMS accounts for 5.8% of all detected table availability (768 slots), and TOCK accounts for 0.6% of all detected table availability (85 slots) (based on 10,353 tables detected over 30 days ending June 11, 2026).
Breakdown of available reservations by party size (last 30 days)
Parties of 2 account for the largest share of detected reservation availability at 89% (11,644 slots). Parties of 1 follow at 1% (136), and Parties of 3 follow at 4% (483). This suggests that couples are best positioned to find last-minute reservations at hard-to-book restaurants.
Cities with the most detected reservation slots (last 30 days)
New York leads with 4,097 detected reservation slots over the last 30 days, followed by Palm Beach (3,719) and Miami (2,335). Higher slot counts indicate more cancellations and new openings, meaning more opportunities to find last-minute tables in those cities.
ReservationFinder continuously monitors four major reservation platforms — Resy, OpenTable, Tock, and SevenRooms — checking for newly available tables every 30 seconds for followed restaurants and continuously for all others.
When a cancellation or new slot appears, our system detects it within seconds and records the restaurant, date, time, party size, and the exact moment of detection. This data powers both our alert service and the statistics on this page.
The difficulty index is calculated by counting available slots per restaurant over the last 30 days and dividing by weeks. Restaurants with fewer available slots per week are considered harder to book. Only restaurants with at least 7 days of monitoring history are included.