Fingerprint v2.1
@late_ridge32
Yusuf Bergstrom · researcher · US
Results, then claims.
Followers
1,337
Posts / day
0.8
Active months
82
90d growth
12%
How they post
Scores from 0 to 1. Higher density and citations = more signal. Farm score is how robotic the posting looks — not a court verdict.
composite 0.67
Spam check
- Timing entropy
- 0.65
- Cadence regularity
- 0.38
- Duplication
- 0.04
- Follow churn
- 0.10
- Promo frequency
- 0.04
- CTA patterns
- 0
Uncalibrated heuristic. Inputs: cadence regularity, timing entropy, duplication, follow churn, promo frequency. No labeled precision/recall/Brier. Not a verdict. Not grounds to punish an account.
Network
Communities: ai-research · ml-research
bridge_score 0.33
Topics
- ai0.91
- ml0.72
- science0.25
Why this person — source posts
INDEXED SAMPLE posts. Internal ids, snapshot time, quoted text. These are not live X permalinks.
“A 'surprising' result without a seed sweep is a lucky run.”
id late_ridge32-1 · original · created 2026-09-22T13:55:00Z · retrieved 2026-09-17T22:00:00Z · source indexed · no live permalink
Signed receipt
This is Mila's file on @late_ridge32 — a hash, not a vibe. You don't need the raw JSON. Open them on X, or copy the file if you're auditing.
sha256:671d12e8
fingerprint/v2.1 · xradar/1.0 · sha256:671d12e8© 2026 Mila · 026 Inkline Labs LLC. All rights reserved.
© 2026 Mila · 026 Inkline Labs LLC. All rights reserved.