Users
Cohorts, spend, and watchlists across the Hasya community.
User insights
Repeat, spend, and cohort breakdowns.
Observed familiarity
Select a topic above to view topic-scoped pair overlap from confirmed shared activities.
Top familiar pairs
Small admin view of the raw familiarity table.
| Player A | Player B | Shared activities | Shared teams | Last shared |
|---|---|---|---|---|
| Select a topic to load familiarity. | ||||
Top attendees
| Name | Phone | Activities | Tickets | Spend | Top category | Last |
|---|---|---|---|---|---|---|
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Top spenders
| Name | Phone | Activities | Tickets | Spend | Top category | Last |
|---|---|---|---|---|---|---|
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Category affinity
| Category | Users | Attendances | Tickets | Spend | Last |
|---|---|---|---|---|---|
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Public onboarding approvals
People who passed the topic gate or failed and are in cooldown.
| Name | Phone | City | Topic | Last status | Cooldown end | Last failed before cooldown | Days since cooldown ended | Retried | Attempts after cooldown | Last attempt after cooldown | Last passed after cooldown | ||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
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| Name | Phone | City | Topic | Status | Failed on | Cooldown | Completed | Onboarded | ||
|---|---|---|---|---|---|---|---|---|---|---|
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No Activity — Dormant Members
Members who passed onboarding but have never registered for an activity. Sorted longest wait first.
| Name | Phone | City | Topic | Onboarded | Days waiting | |
|---|---|---|---|---|---|---|
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Profile creation allow-list
Add phone numbers that should be allowed to create a website profile even if they do not yet have 3 paid past activities.
| Phone | Note | Updated | |
|---|---|---|---|
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Members
Click a photo to review it, or a row to see activity history.
Total members: —
| Name | Photo review | Phone | Activities | Tickets | Spend | Last attended | |
|---|---|---|---|---|---|---|---|
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| Activity | Date | Tickets | Spend | Status |
|---|---|---|---|---|
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No-show strikes and bans
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Play Again — Affinities
Who players want to play with again, and how often. Powered by post-game nominations.
Familiar + New — Real Data
For returning players (2+ games in topic), % who encountered ≥1 familiar co-player AND ≥1 new co-player in the same game. Based on nomination history.
Simulator
Analytical model — P(≥1 familiar AND ≥1 new) = 1 − fn−1 − (1−f)n−1.
f is auto-seeded from live affinity data but you can drag to explore.
f = fraction of player pool familiar to the returning player (auto-seeded from real affinity graph)
Top pairs
Highest mutual affinity score.
| Player A | Player B | Picks (A→B / B→A) | Score |
|---|---|---|---|
| — | |||
Most nominated
Who gets picked to play again most often.
| Player | Times picked | By how many |
|---|---|---|
| — | ||
Ban list
Reference list only (saved in this browser). This does not block onboarding or activity joins.
| Phone | Label | Notes | Added | |
|---|---|---|---|---|
| No banned users yet. | ||||