# Artemis (@artemis) on x

- id: koinon:creator:x_artemis
- url: https://koinonlink.com/kol/x/artemis
- schema_version: 1.4

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

## Reach
- followers: 45077
- following: 1330
- posts_total: 6272
- posts_observed: 1
- posts_per_day: 3.824
- account_age_days: 1640
- verified: true
- size_tier: koc

## Engagement
- status: peak_post_only
- peak_post_engagement_rate: 0.00399
- best_post_interactions: 180
- 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: finance
- subcategory: crypto
- category_confidence: 0.9
- category_source: derived_from_recent_content
- topics: prediction markets, token mechanics and business fundamentals, stablecoin velocity and usage, crypto protocol analysis, market sentiment and mentions

## Audience (inferred)
- status: present
- description: Crypto investors, traders, and DeFi analysts focused on token economics, prediction markets, and on-chain metrics
- roles: none
- seniority: consumer
- pain_points: Distinguishing protocols with real demand from those relying on token gimmicks, Tracking actual stablecoin usage and velocity versus hype, Identifying early opportunities in emerging categories like prediction markets
- posts_analysed: 7
- confidence: 0.4

## Commercial (inferred)
- audience_buyer_fit: 0.4
- promotion_intent: 0.3
- open_to_collaboration: false
- contact: Koinon does not publish creator contact details.

## Quality signals
- authenticity_score: 95
- authenticity_basis: engagement_observed
- credibility_score: 95
- flagged_for_review: false
- koinon_bd_grade: C — 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_artemis#67571724] NEW: @michaeljburry is the most mentioned finance personality on reddit over the last 12 months. https://t.co/rcdlrGHZfp (https://twitter.com/artemis/status/2034643931485409761)
- [x_artemis#549fc0a6] Another day, another all-time high on Robinhood Chain https://t.co/wAWfOZJCVc
- [x_artemis#639b0165] The Thesis is...
- [x_artemis#ef842e8a] Thesis: Prediction market making is emerging as a major opportunity, and @Overtime_io could see renewed attention as it shifts its focus toward the category.
- [x_artemis#a248b46f] can confirm @GavinSBaker. Token usage is increasing https://t.co/el02mVmjnO
- [x_artemis#bb25ad9f] Token mechanics cannot rescue a weak business. Buybacks, burns, and fee distributions only work when a protocol has durable demand, strong unit economics, manageable dilution, and a defensible competitive position. Read the full analysis from @YashasEdu on Artemis. https://t.co/Y
- [x_artemis#6d5c189a] Imagine each stablecoin has $100 in circulation. How much of that money moves on a typical day? @USDC: $98 moves. USDT: $19 moves. Most of the mon

## 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=77, method=llm_persona_from_recent_content
- audience.roles: source_type=ai_inferred, confidence=0.4, freshness_days=77, method=llm_persona_from_recent_content
- audience.seniority: source_type=ai_inferred, confidence=0.4, freshness_days=77, 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=121, 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=121, 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=121, method=platform_profile

## Freshness
- profile_checked_days_ago: 121
- content_analysed_days_ago: 77
- audience_updated_days_ago: 77

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