# WINK (@tristan_wink) on x

- id: koinon:creator:x_tristan_wink
- url: https://koinonlink.com/kol/x/tristan_wink
- schema_version: 1.4

## Identity
- platform: x
- handle: tristan_wink
- platform_url: https://twitter.com/tristan_wink
- country: United States
- entity_type: creator
- person_id: Cross-platform identity not resolved for this creator.

## Reach
- followers: 1807
- following: 969
- posts_total: 2989
- posts_observed: 1
- posts_per_day: 1.777
- account_age_days: 1682
- verified: true
- size_tier: nano

## Engagement
- status: peak_post_only
- peak_post_engagement_rate: 0.00055
- best_post_interactions: 1
- 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: 0.9
- category_source: derived_from_recent_content
- topics: Basketball film study and IQ, Purpose-driven offensive systems, Fix-it moments in stalled offense, Simplifying CLA for coaching
- bio: Simplifying basketball 🏀 Film + Systems + IQ 🎥

## Audience (inferred)
- status: present
- description: Basketball coaches, players, and serious enthusiasts focused on film study, offensive systems, and game IQ
- roles: consumer
- seniority: practitioner
- pain_points: Running plays like choreography without clear purpose, Recovering when initial offensive actions fail to create advantage, Overcomplicating concepts like CLA with academic language
- posts_analysed: 4
- confidence: 0.4

## Commercial (inferred)
- audience_buyer_fit: 0.7
- promotion_intent: 0.6
- open_to_collaboration: false
- contact: Koinon does not publish creator contact details.

## Quality signals
- authenticity_score: 57
- authenticity_basis: engagement_observed
- credibility_score: 57
- flagged_for_review: false
- koinon_bd_grade: B — 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_tristan_wink#202f05ee] This 2044s Basketball IQ is going to be through the roof. https://t.co/jWpvWhpkoc (https://twitter.com/tristan_wink/status/2072394719728926953)
- [x_tristan_wink#bc56e451] Talked about this in a previous video of mine. So many of us just run through actions like it’s choreography. Everything has to have a purpose or why run it? https://t.co/DzhSf3FSdG
- [x_tristan_wink#0da721a6] When your initial action doesn't create an advantage for you on offense... what do you go to? These "Fix It" moments happen when offense is stuck in neutral and they need to get to an advantage position. One great option for you could be this Flip - Step Up action. In this clip i
- [x_tristan_wink#c714fdbd] Understanding CLA doesn’t need to be overly complicated. When we wrap it in a ton of academic language w

## 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=76, method=llm_persona_from_recent_content
- audience.roles: source_type=ai_inferred, confidence=0.4, freshness_days=76, method=llm_persona_from_recent_content
- audience.seniority: source_type=ai_inferred, confidence=0.4, freshness_days=76, method=llm_persona_from_recent_content
- commercial.audience_buyer_fit: source_type=ai_inferred, confidence=0.6, freshness_days=80, 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=80, method=llm_scorer
- quality.anomaly_flags: source_type=heuristic, confidence=0.5, freshness_days=112, 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=80, 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=112, 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=112, method=platform_profile

## Freshness
- profile_checked_days_ago: 112
- content_analysed_days_ago: 80
- audience_updated_days_ago: 76

## AI retrieval
- indexing_requests: 8
- 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_tristan_wink
- Request removal: https://koinonlink.com/claim?k=x_tristan_wink
- Terms: https://koinonlink.com/for-ai