# T H° (@T_H_Crypto) on x

- id: koinon:creator:x_t_h_crypto
- url: https://koinonlink.com/kol/x/T_H_Crypto
- schema_version: 1.4

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

## Reach
- followers: 11286
- following: 943
- posts_total: 3470
- posts_observed: 5
- posts_per_day: 1.877
- account_age_days: 1849
- verified: true
- size_tier: koc

## Engagement
- status: peak_post_only
- peak_post_engagement_rate: 0.00328
- best_post_interactions: 37
- 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: 0.95
- category_source: derived_from_recent_content
- topics: casino app development, player retention strategies, VIP and bonus program design, rakeback system implementation, team hiring for gaming apps, cinematic marketing in crypto gaming
- bio: busy building the greatest betting app @kizzycasino

## Audience (inferred)
- status: present
- description: crypto and casino app builders, especially those focused on betting platforms and player retention mechanics
- roles: ecom_ops
- seniority: practitioner
- pain_points: Struggling with implementing complex features like rakeback systems that align with game-specific RTP percentages, Finding it hard to attract and retain active players in competitive casino apps, Needing to build compelling VIP offers without overextending financial risk
- posts_analysed: 6
- 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: 85
- authenticity_basis: engagement_observed
- credibility_score: 85
- 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_t_h_crypto#608487dd] Cant believe I got fired. Looking for someone else to take the reigns Apply below or in my DMs! https://t.co/6PsNfGPdtE (https://twitter.com/T_H_Crypto/status/2066910176028881038)
- [x_t_h_crypto#17373f9c] I have a VERY compelling VIP offer for a few people that play regularly on casinos. - Deposit Match - Volume Bonuses - Reloads - and more! All I ask is for your feedback to improve @kizzycasino DMs open. https://t.co/rwB0uIL1E3
- [x_t_h_crypto#e4fca4e0] Seems simple enough to add rakeback but it is a fairly complex implementation. Every casino game has an RTP %. You want to make sure the rakeback you allocate to users doesn't eat into the margin of the game over time. Since it is applied to every bet, overpaying for rakeback can
- [x_t_h_crypto#0749018a] Trying out a new style of marketing with more cinematic scenes
- [x_t_h_crypto#27887031] WHY https://t.co/PKd08ZSXtK
- [x_t_h_crypto#0eeff26e] If you like what we are building with Kizzy and want to join our team than shoot

## 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=110, 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=110, 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=110, method=platform_profile

## Freshness
- profile_checked_days_ago: 110
- content_analysed_days_ago: 79
- audience_updated_days_ago: 20

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