AI report
An on-demand AI reading of your numbers — generated only when you ask for it.
Posts
Posts created per week across all journeys — steps, albums and updates combined.
Posts per week
Hover a week for the full breakdown.
Engagement
Likes, comments and messages per week.
Users
How the audience grows — weekly active users, total accounts and new sign-ups this week.
Weekly active users over time
Per ISO week — the most recent weekly-active count each week. Builds up from the first live week.
Growth
New users and new journeys per week.
Activation & engagement
Where new users get to, and how active ones engage — current snapshot. (History builds up daily; trend charts follow later.)
Activation funnel
How many users reach each activation step — all-time and the last-30-days cohort.
Engagement & power users
Activity per active user over the last 30 days, plus power users.
Retention by signup cohort
Of each week's new users, how many came back after 1 and 7 days.
Health
Database and file-storage size, and operational alerts — pulled daily from the app.
Database size over time
Daily snapshots — builds up from the first live measurement (backfilled days have no size).
File storage over time
Daily snapshots — builds up from the first live measurement.
Alerts by type
Operational alerts raised inside the app, grouped by type.
For deep observability — runtime errors, slow queries and raw logs — see the app project's Supabase dashboard.
Performance
The database's busiest queries — current snapshot, normalised server-side.
Top queries
Where database time goes. Hover a query for the full text.
Reports
User reports from the TravelGram app, handled with the same Google/Apple identity you signed in with.
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Moderation & safety
User reports and blocks — current snapshot. (History builds up daily; trends follow later.)
Reports by reason
Why users flagged content, by category.
Blocks
Users who blocked another user.
Reports queue
| Reason | Type | Reports on user | Created | Age | Status |
|---|
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