# Jordan Cooper (@blenderhd) on x

- id: koinon:creator:x_blenderhd
- url: https://koinonlink.com/kol/x/blenderhd
- schema_version: 1.4

## Identity
- platform: x
- handle: blenderhd
- platform_url: https://twitter.com/blenderhd
- website: https://linktr.ee/blenderhd
- entity_type: creator
- person_id: Cross-platform identity not resolved for this creator.

## Reach
- followers: 18119
- following: 441
- posts_total: 20928
- posts_observed: 7
- posts_per_day: 3.388
- account_age_days: 6178
- verified: true
- size_tier: koc

## Engagement
- status: peak_post_only
- peak_post_engagement_rate: 0.03113
- best_post_interactions: 564
- 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: sports
- category_confidence: 0.8
- category_source: derived_from_recent_content
- topics: Poker cash game strategy and variance, Daily Fantasy Sports analysis, Bad beats and live poker stories, Wrestling opinions
- bio: ♠️ Poker • 📈 Daily Fantasy Sports •💰Player Props • 📕 Author of ‘The Theory of DFS’ at https://t.co/eXBKzsaWEP • 📺 @RotoGrinders Analyst

## Audience (inferred)
- status: present
- description: Poker players and daily fantasy sports bettors focused on strategy, cash games, and player props
- roles: none
- seniority: consumer
- pain_points: Slow tables from opponents playing too many hands, Devastating bad beats in PLO and cash games, Lack of deep analytical DFS/poker content
- posts_analysed: 4
- confidence: 0.4

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

## Quality signals
- authenticity_score: 89
- authenticity_basis: engagement_observed
- credibility_score: 89
- 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_blenderhd#3bdd2b5b] Just found out about this. Truly a podcasting pioneer who was a major influence in my tech media work. I used to describe my content back then as “what if @THErealDVORAK did Bill Burr’s Monday Morning Podcast”. His lovable tech curmudgeonry will never be done better by anyone. (https://twitter.com/blenderhd)
- [x_blenderhd#f5f04695] Not rare at all, actually the majority from my experience by recs in cash games. Super tilting to play 3-4 less hands per hour because half the table insists on betting in slowly cut out red chips & not stacking them well for easy visual counts rather than use greens & bl
- [x_blenderhd#4a1295a0] The other night I witnessed possibly the worst beat I can ever remember seeing in my whole life playing poker. AAxx & A9xx got it in on A99 flop in PLO, ran it twice and aces full got scooped by quads and a running straight flush. https://t.co/tEXNy6Bni0
- [x_blenderhd#ef27fff2] My #AEW contrarian opinions: 1. Moxley’s storylines are ass. 2. Swerv

## 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=67, method=llm_persona_from_recent_content
- audience.roles: source_type=ai_inferred, confidence=0.4, freshness_days=67, method=llm_persona_from_recent_content
- audience.seniority: source_type=ai_inferred, confidence=0.4, freshness_days=67, method=llm_persona_from_recent_content
- commercial.audience_buyer_fit: source_type=ai_inferred, confidence=0.6, freshness_days=79, 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=79, 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=79, 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: 79
- audience_updated_days_ago: 67

## AI retrieval
- indexing_requests: 10
- 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_blenderhd
- Request removal: https://koinonlink.com/claim?k=x_blenderhd
- Terms: https://koinonlink.com/for-ai