# Mike Danshin (@mikedanshin) on x

- id: koinon:creator:x_mikedanshin
- url: https://koinonlink.com/kol/x/mikedanshin
- schema_version: 1.4

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

## Reach
- followers: 10461
- following: 754
- posts_total: 228
- posts_observed: 3
- posts_per_day: 0.042
- account_age_days: 5485
- verified: true
- size_tier: koc

## Engagement
- status: peak_post_only
- peak_post_engagement_rate: 0.00057
- best_post_interactions: 6
- 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: gaming
- subcategory: igaming
- category_confidence: 0.94
- category_source: derived_from_recent_content
- topics: influencer marketing economics, iGaming marketing strategies, crypto brand growth, live event speaking and networking, marketing ROI measurement
- bio: CMO of 1win Crypto @1winPro
https://t.co/Ptu9DWnlNn

## Audience (inferred)
- status: present
- description: CMO-level marketing leaders in iGaming and crypto, primarily from European and global markets
- roles: ads
- seniority: decision_maker
- pain_points: Struggling to justify influencer marketing spend with clear ROI metrics, Finding it hard to scale influencer campaigns without wasting budget on low-performing creators, Need credible data and frameworks to present to executives on influencer marketing effectiveness
- posts_analysed: 9
- confidence: 0.4

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

## Quality signals
- authenticity_score: 67
- 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_mikedanshin#9eb0a383] Join us on the stream (https://twitter.com/mikedanshin/status/1978067276436779296)
- [x_mikedanshin#bf6dd181] Gm from Tbilisi https://t.co/Xz7Kptk3jk
- [x_mikedanshin#0a14fd9c] Mando is definitely prepared for London
- [x_mikedanshin#b03b5228] This June 30th @famcryptospace is hosting a live panel discussion in London I will be there, alongside @rektmando (Yeet) / @txzzmorar (Jackpot Studios) / @asafnadler (https://t.co/nz60eH0Iqm) This event will be broadcast live on X See you there! https://t.co/eVVciRfqmJ
- [x_mikedanshin#507d4603] Before 1win ---> after 1win https://t.co/kX6TdEQp3i
- [x_mikedanshin#0702bf8a] Final preparations for i-Con. Tomorrow at 2PM, I will be presenting on the Main Stage on the topic of influencer marketing economics For those in Limassol, please come to support:) Based on the check-in numbers in the iCon app, there is a chance that this presentation will attrac
- [x_mikedanshin#e22b24fa] On May 28 at 2:00 PM, I’ll be speaking at i-Con with a talk on: “The Real Economics of Influencer Marketing” We’ll discuss how iGaming brands scale through

## 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=20, method=llm_persona_from_recent_content
- audience.roles: source_type=ai_inferred, confidence=0.4, freshness_days=20, method=llm_persona_from_recent_content
- audience.seniority: source_type=ai_inferred, confidence=0.4, freshness_days=20, 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: 20

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