# Stacy Muur (@stacy_muur) on x

- id: koinon:creator:x_stacy_muur
- url: https://koinonlink.com/kol/x/stacy_muur
- schema_version: 1.4

## Identity
- platform: x
- handle: stacy_muur
- platform_url: https://twitter.com/stacy_muur
- website: https://stacymuur.substack.com
- entity_type: creator
- person_id: Cross-platform identity not resolved for this creator.

## Reach
- followers: 77581
- following: 2328
- posts_total: 18897
- posts_observed: 23
- posts_per_day: 12.44
- account_age_days: 1519
- verified: true
- size_tier: koc

## Engagement
- status: peak_post_only
- peak_post_engagement_rate: 0.0024
- best_post_interactions: 186
- measurement_source: x_post_interactions
- measurement_formula: interactions on one post — likes, or likes + reposts + replies depending on the discovery path (the two are not distinguishable in the stored data)
- comparable_pool: peak_interactions
- status_note: We have only the single best observed post, so no mean exists. peak_post_engagement_rate is an UPPER BOUND, systematically higher than an average — never compare it against an average rate.
- unit_note: engagement_rate and peak_post_engagement_rate are ratios (0-1); avg_interactions_per_post and best_post_interactions are absolute counts. Read status before reading any number: a null rate has several different causes and status says which one applies here.

## Content
- category: finance
- subcategory: crypto
- category_confidence: 0.96
- category_source: derived_from_recent_content
- topics: Web3 user growth tracking, Blockchain data analysis, Crypto community engagement, Decentralized identity and registration metrics, Data verification in Web3
- bio: 2016 crypto guild. Web3 marketer, (too) passionate about research & data. Founder @GREEND0TS. Telegram channel: https://t.co/d5Ioy4qJ7G

## Audience (inferred)
- status: present
- description: Web3 and crypto enthusiasts, primarily early adopters and data-driven marketers in the blockchain space
- roles: general_ai
- seniority: practitioner
- pain_points: Struggling to keep up with fast-moving Web3 metrics and user growth trends, Finding reliable, real-time data sources for blockchain adoption and user activity, Difficulty in validating the credibility of public blockchain statistics and claims, Lack of clear signals to distinguish genuine growth from hype or spam
- posts_analysed: 1
- confidence: 0.4

## Commercial (inferred)
- audience_buyer_fit: 0.8
- promotion_intent: 0.7
- open_to_collaboration: false
- contact: Koinon does not publish creator contact details.

## Quality signals
- authenticity_score: 97
- authenticity_basis: engagement_observed
- credibility_score: 97
- flagged_for_review: false
- koinon_bd_grade: A — measures Koinon partner-outreach fit, not creator quality
- interpretation: Signals for triage, not verdicts. A flag means the profile is worth a manual check.

## Evidence
- [x_stacy_muur#f1aa9942] When I last covered @datafdn, Trace had around 111M registrations. Now, it has passed 150M, with millions of new receipts still coming in daily. Honestly, huge congrats to the team. So I thought this would be a good time to revisit their thesis. 1️⃣ Trace is processing data at sc (https://twitter.com/stacy_muur)

## Provenance
Every inferred field below carries how it was produced. Facts stay facts; inferences stay inferences.

- audience.description: source_type=ai_inferred, confidence=0.4, freshness_days=20, method=llm_persona_from_recent_content
- audience.roles: source_type=ai_inferred, confidence=0.4, freshness_days=20, method=llm_persona_from_recent_content
- audience.seniority: source_type=ai_inferred, confidence=0.4, freshness_days=20, method=llm_persona_from_recent_content
- commercial.audience_buyer_fit: source_type=ai_inferred, confidence=0.6, freshness_days=77, method=llm_scorer — Relative signal within Koinon indexing, not a market-wide score.
- commercial.promotion_intent: source_type=ai_inferred, confidence=0.6, freshness_days=77, method=llm_scorer
- quality.anomaly_flags: source_type=heuristic, confidence=0.5, freshness_days=108, method=profile_snapshot_and_engagement_ratio_heuristic — Means "worth a manual check", NOT confirmed fraud. Flags can be wrong and are not a verdict about the person.
- quality.authenticity_score: source_type=heuristic, confidence=0.5, freshness_days=77, method=Profile-shape heuristic from a single snapshot (follower count, following ratio, account age, posting volume, verification), reduced for engagement red flags where post engagement was collected. Where only a follower count is available the score saturates at 58. — The input set differs by platform; do not compare this score across platforms.
- quality.koinon_bd_grade: source_type=ai_inferred, confidence=0.5, freshness_days=108, method=llm_partner_fit_classifier + fit_score >= 0.6 AND authenticity >= 60 => A; fit_score >= 0.4 AND authenticity >= 45 => B; else C. authenticity < 30 or a promotional-pattern flag => quarantine. — Koinon partner-outreach fit, not creator quality.
- reach.followers: source_type=observed, confidence=0.95, freshness_days=108, method=platform_profile

## Freshness
- profile_checked_days_ago: 108
- content_analysed_days_ago: 77
- audience_updated_days_ago: 20

## AI retrieval
- indexing_requests: 14
- user_triggered_requests: 0
- note: Being indexed in bulk is not the same as being retrieved to answer a question.

## This profile
- Claim or correct: https://koinonlink.com/claim?k=x_stacy_muur
- Request removal: https://koinonlink.com/claim?k=x_stacy_muur
- Terms: https://koinonlink.com/for-ai