# Haris (@fyreinteractive) on x

- id: koinon:creator:x_fyreinteractive
- url: https://koinonlink.com/kol/x/fyreinteractive
- schema_version: 1.4

## Identity
- platform: x
- handle: fyreinteractive
- platform_url: https://twitter.com/fyreinteractive
- website: https://fyreinteractive.co/newsletter/
- entity_type: creator
- person_id: Cross-platform identity not resolved for this creator.

## Reach
- followers: 7257
- following: 541
- posts_total: 9710
- posts_observed: 8
- posts_per_day: 2.01
- account_age_days: 4830
- verified: true
- size_tier: nano

## Engagement
- status: peak_post_only
- peak_post_engagement_rate: 0.00496
- best_post_interactions: 36
- 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: entertainment
- subcategory: news_media
- category_confidence: 0.85
- category_source: derived_from_recent_content
- topics: YouTube scripting and hooks, Cracking the algorithm, Faceless channel growth, Viral video analysis, Retention and watch time tactics
- bio: business is war. scripts are the weapon. 
work w/@noahmorris @wannercashcow @phedEU @mattparofficial @jaketrinder_ @elliotrades & more

## Audience (inferred)
- status: present
- description: YouTube creators running or building faceless channels, focused on scripting, hooks, and organic growth
- roles: content
- seniority: practitioner
- pain_points: Struggling to write scripts that hold attention past 30 seconds, New channels getting low initial views despite good topics, Not understanding what makes videos rank and stay ranked on search, Difficulty replicating viral performance without big budgets or existing audience
- posts_analysed: 7
- confidence: 0.4

## Commercial (inferred)
- audience_buyer_fit: 0.8
- promotion_intent: 0.9
- open_to_collaboration: false
- contact: Koinon does not publish creator contact details.

## Quality signals
- authenticity_score: 82
- authenticity_basis: engagement_observed
- credibility_score: 82
- 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_fyreinteractive#4dec079a] live analysis of this 1.9M+ view YouTube outlier's script: (channel only had 15k subs at the time) https://t.co/ZOxsvXQion (https://twitter.com/fyreinteractive/status/2068700378674376910)
- [x_fyreinteractive#7d47d07a] https://t.co/MjIrhfkTPe
- [x_fyreinteractive#e4db3048] 7 faceless YouTube hooks i used to generate 200M+ views (abuse them): https://t.co/ml2vVEhyez
- [x_fyreinteractive#b8ad9fb9] https://t.co/4vr6gC2gB0
- [x_fyreinteractive#287ccf5b] how to CRACK YouTube's algorithm with KILLER scripts https://t.co/Mps2jjrjoN
- [x_fyreinteractive#5971db60] https://t.co/PsCmrV5c5g
- [x_fyreinteractive#e988bf5e] 100,116 views on a FIRST video > ranked #1 on youtube search > 81% still watching at 0:30 > held the ranking for months and i never did any SEO on it. keyword research is one step. writing the script is another. they work on each one separately and wonder why videos that rank wel

## 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=77, method=llm_persona_from_recent_content
- audience.roles: source_type=ai_inferred, confidence=0.4, freshness_days=77, method=llm_persona_from_recent_content
- audience.seniority: source_type=ai_inferred, confidence=0.4, freshness_days=77, 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=117, 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=117, 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=117, method=platform_profile

## Freshness
- profile_checked_days_ago: 117
- content_analysed_days_ago: 77
- audience_updated_days_ago: 77

## AI retrieval
- indexing_requests: 12
- 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_fyreinteractive
- Request removal: https://koinonlink.com/claim?k=x_fyreinteractive
- Terms: https://koinonlink.com/for-ai