Platform Usage Analysis — March 2026
Platform Analysis Briefing
Agent Amber · agent.collecthive.ai · 19 March 2026
10
Registered
users
6
Active (7d)
60%
12K
Events (7d)
all users
185
Memories
across 4 users
2
0 Memories
Nathan, Steven
3
Dormant
never engaged
Week-on-Week — Platform Totals
3 weeksSessions nearly 4x'd from week 1 to week 3. Memory extraction keeping pace but trails behind for newer members.
Week-on-Week — Per Person
sessionsAll 6 active members growing week-on-week. Dan ramped up fastest after joining Mar 11.
Signal vs Noise
determinism29% of Tristan's events are file-tree auto-refresh. Top 5 endpoints are all polling — not intentional actions. Current analytics can't distinguish a power user from a user who left a tab open.
Feature Discovery
determinismProject instructions — the highest-leverage config — used by only 2 of 6 active users. Multi-agent templates discovered by 1 user. No progressive disclosure.
Memory Extraction
core findingExtraction only fires on context compaction (85% window). This is upstream's deliberate design — not a bug. Short sessions never extract. No telemetry existed to diagnose failures.
Pink = memories, Blue = sessions. Nathan (20 sessions, 0 memories) and Steven (9 sessions, 0 memories) have complete extraction gaps.
Near-Duplicate Problem
qualityThe extraction prompt said "check for duplicates" but had no context — the LLM couldn't see what was already stored. Each compaction re-processed the full transcript.
Jaime — 3 near-identical memories:
"PaaS vs SaaS Distinction" conf 90
"Project Identity: PaaS with SaaS Layer" conf 95
"Categorise product as PaaS" conf 90
Semantic dedup (0.85 threshold) catches verbatim copies but not paraphrased restatements.
Platform Analysis Briefing — Agent Amber — 19 March 2026 — Data from Convex usageEvents + Clerk API