Weekly app usage — deploy windows

Last 2 full weeks (Mon–Sun) · PostHog Production · timezone UTC · active = Application Became Active or app_opened · distinct users (person user_id, else person_id) · average of matching weekdays across both weeks · generated 2026-07-24

Recommended deploy window
Sat 23:00
Quietest slot (~1 users avg)
23–03 UTC
Best band most days (≤~4.4 avg)
14:00 UTC
Busiest hour (~33.93 users avg)
Thu
Busiest weekday (avg DAU 382.5)

Weeks included

Week 1
2026-07-07 → 2026-07-13
Avg DAU295.1
Peak day07-09 (518)
Week 2
2026-07-14 → 2026-07-20
Avg DAU254.4
Peak day07-14 (320)

Daily active users

Tue
07-07
154
Week 1
Wed
07-08
190
Week 1
Thu
07-09
518
Week 1
Fri
07-10
407
Week 1
Sat
07-11
283
Week 1
Sun
07-12
231
Week 1
Mon
07-13
283
Week 1
Tue
07-14
320
Week 2
Wed
07-15
268
Week 2
Thu
07-16
247
Week 2
Fri
07-17
295
Week 2
Sat
07-18
191
Week 2
Sun
07-19
217
Week 2
Mon
07-20
243
Week 2

Note: outlier day(s) 2026-07-09 DAU=518 raise weekday averages.

Average active users by UTC hour (all weekdays)

0 8 17 25 34 00 02 04 06 08 10 12 14 16 18 20 22
Best deploy (≤5) Acceptable (≤12) Busy (≤22) Avoid (>22)

X: hour of day (UTC) · Y: average distinct active users across all 14 days

Heatmap — avg users by weekday × hour (UTC)

Mon 00:00 — 3.5 avg users Mon 01:00 — 3.5 avg users Mon 02:00 — 4 avg users Mon 03:00 — 11 avg users Mon 04:00 — 17.5 avg users Mon 05:00 — 23.5 avg users Mon 06:00 — 22.5 avg users Mon 07:00 — 30 avg users Mon 08:00 — 28.5 avg users Mon 09:00 — 28.5 avg users Mon 10:00 — 26 avg users Mon 11:00 — 31 avg users Mon 12:00 — 32.5 avg users Mon 13:00 — 29 avg users Mon 14:00 — 28.5 avg users Mon 15:00 — 33.5 avg users Mon 16:00 — 38 avg users Mon 17:00 — 30.5 avg users Mon 18:00 — 37 avg users Mon 19:00 — 30 avg users Mon 20:00 — 21 avg users Mon 21:00 — 11.5 avg users Mon 22:00 — 8 avg users Mon 23:00 — 3.5 avg users Mon Tue 00:00 — 3.5 avg users Tue 01:00 — 7 avg users Tue 02:00 — 4 avg users Tue 03:00 — 10.5 avg users Tue 04:00 — 15 avg users Tue 05:00 — 14.5 avg users Tue 06:00 — 21 avg users Tue 07:00 — 20 avg users Tue 08:00 — 33 avg users Tue 09:00 — 26.5 avg users Tue 10:00 — 34 avg users Tue 11:00 — 32 avg users Tue 12:00 — 25 avg users Tue 13:00 — 24.5 avg users Tue 14:00 — 24 avg users Tue 15:00 — 21.5 avg users Tue 16:00 — 27 avg users Tue 17:00 — 24 avg users Tue 18:00 — 21.5 avg users Tue 19:00 — 29 avg users Tue 20:00 — 21.5 avg users Tue 21:00 — 10.5 avg users Tue 22:00 — 3 avg users Tue 23:00 — 5 avg users Tue Wed 00:00 — 5 avg users Wed 01:00 — 5.5 avg users Wed 02:00 — 5 avg users Wed 03:00 — 12 avg users Wed 04:00 — 17 avg users Wed 05:00 — 20 avg users Wed 06:00 — 27.5 avg users Wed 07:00 — 26.5 avg users Wed 08:00 — 25 avg users Wed 09:00 — 33.5 avg users Wed 10:00 — 26 avg users Wed 11:00 — 29.5 avg users Wed 12:00 — 26 avg users Wed 13:00 — 29 avg users Wed 14:00 — 31.5 avg users Wed 15:00 — 30 avg users Wed 16:00 — 21 avg users Wed 17:00 — 18.5 avg users Wed 18:00 — 22 avg users Wed 19:00 — 20 avg users Wed 20:00 — 20 avg users Wed 21:00 — 15.5 avg users Wed 22:00 — 2.5 avg users Wed 23:00 — 3 avg users Wed Thu 00:00 — 1.5 avg users Thu 01:00 — 4 avg users Thu 02:00 — 2 avg users Thu 03:00 — 7 avg users Thu 04:00 — 9.5 avg users Thu 05:00 — 15 avg users Thu 06:00 — 19 avg users Thu 07:00 — 29.5 avg users Thu 08:00 — 37.5 avg users Thu 09:00 — 34.5 avg users Thu 10:00 — 43.5 avg users Thu 11:00 — 39.5 avg users Thu 12:00 — 50 avg users Thu 13:00 — 40 avg users Thu 14:00 — 44.5 avg users Thu 15:00 — 50.5 avg users Thu 16:00 — 40.5 avg users Thu 17:00 — 48.5 avg users Thu 18:00 — 40.5 avg users Thu 19:00 — 58.5 avg users Thu 20:00 — 36.5 avg users Thu 21:00 — 19 avg users Thu 22:00 — 10 avg users Thu 23:00 — 6 avg users Thu Fri 00:00 — 5 avg users Fri 01:00 — 4.5 avg users Fri 02:00 — 12.5 avg users Fri 03:00 — 18 avg users Fri 04:00 — 24.5 avg users Fri 05:00 — 37 avg users Fri 06:00 — 38.5 avg users Fri 07:00 — 44.5 avg users Fri 08:00 — 47.5 avg users Fri 09:00 — 51.5 avg users Fri 10:00 — 35 avg users Fri 11:00 — 30 avg users Fri 12:00 — 30 avg users Fri 13:00 — 39.5 avg users Fri 14:00 — 49.5 avg users Fri 15:00 — 34 avg users Fri 16:00 — 35 avg users Fri 17:00 — 39 avg users Fri 18:00 — 31 avg users Fri 19:00 — 24.5 avg users Fri 20:00 — 19 avg users Fri 21:00 — 9 avg users Fri 22:00 — 5 avg users Fri 23:00 — 3.5 avg users Fri Sat 00:00 — 4 avg users Sat 01:00 — 6.5 avg users Sat 02:00 — 4.5 avg users Sat 03:00 — 7 avg users Sat 04:00 — 13 avg users Sat 05:00 — 13.5 avg users Sat 06:00 — 25 avg users Sat 07:00 — 36 avg users Sat 08:00 — 22.5 avg users Sat 09:00 — 20.5 avg users Sat 10:00 — 23.5 avg users Sat 11:00 — 29.5 avg users Sat 12:00 — 27.5 avg users Sat 13:00 — 29.5 avg users Sat 14:00 — 36 avg users Sat 15:00 — 29.5 avg users Sat 16:00 — 27.5 avg users Sat 17:00 — 28 avg users Sat 18:00 — 21 avg users Sat 19:00 — 24 avg users Sat 20:00 — 14.5 avg users Sat 21:00 — 8 avg users Sat 22:00 — 6.5 avg users Sat 23:00 — 1 avg users Sat Sun 00:00 — 3 avg users Sun 01:00 — 5 avg users Sun 02:00 — 4.5 avg users Sun 03:00 — 10.5 avg users Sun 04:00 — 12 avg users Sun 05:00 — 15.5 avg users Sun 06:00 — 25.5 avg users Sun 07:00 — 24.5 avg users Sun 08:00 — 22.5 avg users Sun 09:00 — 23.5 avg users Sun 10:00 — 27 avg users Sun 11:00 — 30.5 avg users Sun 12:00 — 17 avg users Sun 13:00 — 19.5 avg users Sun 14:00 — 23.5 avg users Sun 15:00 — 19.5 avg users Sun 16:00 — 33 avg users Sun 17:00 — 32 avg users Sun 18:00 — 30.5 avg users Sun 19:00 — 20.5 avg users Sun 20:00 — 23.5 avg users Sun 21:00 — 9.5 avg users Sun 22:00 — 6.5 avg users Sun 23:00 — 4.5 avg users Sun 00 02 04 06 08 10 12 14 16 18 20 22
Best (≤5) Acceptable (≤12) Busy (≤22) Avoid (>22)

Each cell = average of that weekday×hour across the 2 weeks (e.g. both Tuesdays at 11:00). Hover a cell for the value.

Quietest & busiest slots

Quietest slotsAvg usersFit
Saturday 23:001Best
Thursday 00:001.5Best
Thursday 02:002Best
Wednesday 22:002.5Best
Tuesday 22:003Best
Wednesday 23:003Best
Sunday 00:003Best
Monday 00:003.5Best
Busiest slotsAvg usersFit
Thursday 19:0058.5Avoid
Friday 09:0051.5Avoid
Thursday 15:0050.5Avoid
Thursday 12:0050Avoid
Friday 14:0049.5Avoid
Thursday 17:0048.5Avoid
Friday 08:0047.5Avoid
Friday 07:0044.5Avoid

Hour × weekday detail (2-week average)

Hour (UTC) MonTueWed ThuFriSatSun Week avg Deploy fit
00:00 3.53.551.5543 3.64 Best deploy
01:00 3.575.544.56.55 5.14 Acceptable
02:00 445212.54.54.5 5.21 Acceptable
03:00 1110.512718710.5 10.86 Acceptable
04:00 17.515179.524.51312 15.5 Busy
05:00 23.514.520153713.515.5 19.86 Busy
06:00 22.52127.51938.52525.5 25.57 Avoid
07:00 302026.529.544.53624.5 30.14 Avoid
08:00 28.5332537.547.522.522.5 30.93 Avoid
09:00 28.526.533.534.551.520.523.5 31.21 Avoid
10:00 26342643.53523.527 30.71 Avoid
11:00 313229.539.53029.530.5 31.71 Avoid
12:00 32.52526503027.517 29.71 Avoid
13:00 2924.5294039.529.519.5 30.14 Avoid
14:00 28.52431.544.549.53623.5 33.93 Avoid
15:00 33.521.53050.53429.519.5 31.21 Avoid
16:00 38272140.53527.533 31.71 Avoid
17:00 30.52418.548.5392832 31.5 Avoid
18:00 3721.52240.5312130.5 29.07 Avoid
19:00 30292058.524.52420.5 29.5 Avoid
20:00 2121.52036.51914.523.5 22.29 Avoid
21:00 11.510.515.519989.5 11.86 Acceptable
22:00 832.51056.56.5 5.93 Acceptable
23:00 3.55363.514.5 3.79 Best deploy

Method: for each calendar day, count distinct active users per UTC hour, then average matching weekdays across Week 1 (2026-07-07–2026-07-13) and Week 2 (2026-07-14–2026-07-20). Deploy fit bands are absolute thresholds on average concurrent users (not percentiles).