# DZ (@Dimiantreez) on x

- id: koinon:creator:x_dimiantreez
- url: https://koinonlink.com/kol/x/Dimiantreez
- schema_version: 1.4

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

## Reach
- followers: 22101
- following: 3347
- posts_total: 113136
- posts_observed: 5
- posts_per_day: 57.139
- account_age_days: 1980
- verified: true
- size_tier: koc

## Engagement
- status: peak_post_only
- peak_post_engagement_rate: 0.00262
- best_post_interactions: 58
- 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: 0.93
- category_source: derived_from_recent_content
- topics: crypto market cycles, DeFi protocol usability, leveraged trading risks, crypto investment psychology, testnet participation for new protocols
- bio: Tweets are NFA. I have no paid group.

## Audience (inferred)
- status: present
- description: Crypto traders and DeFi enthusiasts, mainly active retail investors and early adopters of new protocols
- roles: general_ai
- seniority: practitioner
- pain_points: Fear of unexpected market dumps and fake breakouts in crypto, Difficulty in navigating complex DeFi workflows without technical expertise, Risk of being wiped out by quick price wicks during leveraged trading
- posts_analysed: 5
- confidence: 0.4

## Commercial (inferred)
- audience_buyer_fit: 0.9
- promotion_intent: 0.7
- open_to_collaboration: false
- contact: Koinon does not publish creator contact details.

## Quality signals
- authenticity_score: 88
- authenticity_basis: engagement_observed
- credibility_score: 88
- 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_dimiantreez#302972d0] Wall Street is drinking champagne Crypto is celebrating a 3% green candle after a 90% drawdown #stocks #crypto #sp500 https://t.co/xjqI7GQ2Mz (https://twitter.com/Dimiantreez/status/2011032386218389551)
- [x_dimiantreez#a3eeea15] 2027 is in 4 months 2019 was 8 years ago :)
- [x_dimiantreez#1570d043] Crypto is not a perfect investment. It has fear, unexpected dumps, and fake breakouts. But every cycle teaches us something new So R.A.G ( Research + Adapt + Grow ) That's how we become a better investor
- [x_dimiantreez#eb40a621] Pretty sick they already makes complex DeFi workflows feel simple - prompting to decode a portfolio, bridge, swap and rebalance in one flow is genuinely powerful so making threads or video contents about an actual use case is a great way to learn + help others and there's a juicy
- [x_dimiantreez#d24e8acf] Why join/apply @FX100 testnet? - Up to 100x leverage - A different take on liquidations (trying to avoid getting wiped out by quick wicks before your trade has a chance to play out) - A c

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