# fabiomnz (@fabiomnz) on tiktok

- id: koinon:creator:tiktok_fabiomnz
- url: https://koinonlink.com/kol/tiktok/fabiomnz
- schema_version: 1.4

## Identity
- platform: tiktok
- handle: fabiomnz
- platform_url: https://www.tiktok.com/@fabiomnz
- website: http://www.youtube.com/FabioMufanas
- entity_type: creator
- person_id: Cross-platform identity not resolved for this creator.

## Reach
- followers: 5442884
- following: 317
- posts_total: 4866
- posts_observed: 2
- verified: false
- size_tier: kol

## Engagement
- status: average_measured
- engagement_rate: 0.17259
- engagement_rate_basis: average_interactions_per_view
- posts_in_average: 10
- avg_interactions_per_post: 84335
- best_post_interactions: 703823
- measurement_source: tiktok_posts_mean
- measurement_formula: digg + comment + share, mean over observed posts, divided by the mean play count of those same posts — on TikTok the algorithmic feed decides reach, so followers are not the denominator that describes what share of an audience engaged
- comparable_pool: view_based_interactions
- status_note: engagement_rate is a MEAN over the posts we observed (posts_in_average says how many).
- 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: software
- subcategory: ai_tools
- category_confidence: 0.95
- category_source: derived_from_recent_content
- topics: Debunking AI misinformation and sensationalism, Machine Learning concepts and daily work of data scientists, AI regulations, ethics and societal risks, Computational models of mind and consciousness, AI applications beyond neural networks
- bio: Jurista ⚖️ y Científico de datos 🧠 
📥 [contact removed]

## Audience (inferred)
- status: present
- description: Spanish-speaking AI enthusiasts, data science students and junior ML practitioners who want technical explanations and myth-busting instead of hype
- roles: general_ai
- seniority: learner
- pain_points: Sensationalist or inaccurate AI news that lacks technical detail, Difficulty separating real AI capabilities from media hype, Lack of clear explanations on complex topics like AI consciousness, regulations and ethics, Uncertainty about how AI will affect jobs and daily professional work
- posts_analysed: 100
- confidence: 0.9

## Commercial (inferred)
- audience_buyer_fit: 0.2
- promotion_intent: 0.1
- open_to_collaboration: false
- contact: Koinon does not publish creator contact details.

## Quality signals
- authenticity_score: 66
- authenticity_basis: engagement_observed
- credibility_score: 66
- flagged_for_review: false
- koinon_bd_grade: C — measures Koinon partner-outreach fit, not creator quality
- interpretation: Signals for triage, not verdicts. A flag means the profile is worth a manual check.

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

- audience.description: source_type=ai_inferred, confidence=0.9, freshness_days=83, method=llm_persona_from_recent_content
- audience.roles: source_type=ai_inferred, confidence=0.9, freshness_days=83, method=llm_persona_from_recent_content
- audience.seniority: source_type=ai_inferred, confidence=0.9, freshness_days=83, method=llm_persona_from_recent_content
- commercial.audience_buyer_fit: source_type=ai_inferred, confidence=0.6, freshness_days=n/a, 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=n/a, method=llm_scorer
- quality.anomaly_flags: source_type=heuristic, confidence=0.5, freshness_days=93, 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=93, 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=93, 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=93, method=platform_profile

## Freshness
- profile_checked_days_ago: 93
- audience_updated_days_ago: 83

## 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=tiktok_fabiomnz
- Request removal: https://koinonlink.com/claim?k=tiktok_fabiomnz
- Terms: https://koinonlink.com/for-ai