# Ben Yorke (WOO👍) (@BenYorke) on x

- id: koinon:creator:x_benyorke
- url: https://koinonlink.com/kol/x/BenYorke
- schema_version: 1.4

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

## Reach
- followers: 15754
- following: 4303
- posts_total: 10937
- posts_observed: 58
- posts_per_day: 1.699
- account_age_days: 6439
- verified: true
- size_tier: koc

## Engagement
- status: peak_post_only
- peak_post_engagement_rate: 0.00133
- best_post_interactions: 21
- 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: software
- subcategory: ai_tools
- category_confidence: 0.91
- category_source: derived_from_recent_content
- topics: Building trading agents, AI agent integrations and testing, Digital nomad lifestyle, Community events and crypto giveaways, New AI models like video generation
- bio: Building trading agents on @StarchildOnX
My agent is out there, trading, 24/7

## Audience (inferred)
- status: present
- description: AI agent builders and traders focused on autonomous trading systems and tools like StarchildOnX
- roles: automation
- seniority: practitioner
- pain_points: Finding and fixing edge cases in AI desktop apps across platforms, Integrating new AI models into functional agents quickly, Maintaining reliable 24/7 trading agents without constant oversight, Building engaged communities for testing and feedback in crypto/AI spaces
- posts_analysed: 4
- confidence: 0.4

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

## Quality signals
- authenticity_score: 79
- authenticity_basis: engagement_observed
- credibility_score: 79
- 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_benyorke#1057b6a8] Never met a digital nomad who got homesick and regretted going abroad Unless you are somewhere like NY or the the Bay Area you might as well be mobile (https://twitter.com/BenYorke/status/2020511245993152969)
- [x_benyorke#3d6e9840] Put a request out for Mac users to help us flag edge cases in our desktop app If you use AI or agents and want to try some things, join our builder group (link in comments) https://t.co/XN6xEowfNC
- [x_benyorke#e23c455f] Thanks to @0xSeaman and the @Treasures team for hosting last week Got the audience to play Dino Run with a live leaderboard on Starchild, gave away 1 $HOOD Best way to engage an audience is to have your agent buy and give away tokenized RWAs on the big screen while you talk https
- [x_benyorke#44f30c87] The new H3 video model from @MiniMax_AI just dropped and you can use it easily through an agent on @StarchildOnX I tested it in a few scenarios, here's the result: Text-to-video: Create a grainy, photorealistic 1970s pastoral scene with an old p

## 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=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: 76

## AI retrieval
- indexing_requests: 11
- 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_benyorke
- Request removal: https://koinonlink.com/claim?k=x_benyorke
- Terms: https://koinonlink.com/for-ai