# 2xnmore (@2xnmore) on x

- id: koinon:creator:x_2xnmore
- url: https://koinonlink.com/kol/x/2xnmore
- schema_version: 1.4

## Identity
- platform: x
- handle: 2xnmore
- platform_url: https://twitter.com/2xnmore
- website: https://linktr.ee/2xnmore
- entity_type: creator
- person_id: Cross-platform identity not resolved for this creator.

## Reach
- followers: 45308
- following: 965
- posts_total: 81432
- posts_observed: 3
- posts_per_day: 41.065
- account_age_days: 1983
- verified: true
- size_tier: koc

## Engagement
- status: peak_post_only
- peak_post_engagement_rate: 0.00298
- best_post_interactions: 135
- 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: 0.93
- category_source: derived_from_recent_content
- topics: Institutional crypto investment trends, Altcoin selection based on Grayscale's guidance, RWA (Real World Assets) tokenization, Macro outlook for crypto markets
- bio: MSc | Altcoin Analyst • AI • RWA | Seeing what the market hasn’t priced in yet

## Audience (inferred)
- status: present
- description: Institutional investors and crypto fund managers focused on altcoin and RWA investment strategies, particularly those tracking Grayscale's institutional guidance
- roles: ads
- seniority: decision_maker
- pain_points: Struggling to identify which altcoins have real institutional backing and long-term potential, Fearing missed opportunities due to lack of access to exclusive institutional research, Overwhelmed by noise in the crypto market and unable to filter signal from hype
- posts_analysed: 7
- confidence: 0.4

## Commercial (inferred)
- audience_buyer_fit: 0.7
- promotion_intent: 0.6
- 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: B — 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_2xnmore#a2b2c552] Grayscale just told institutions exactly which tokens to buy in 2026. (https://twitter.com/2xnmore)
- [x_2xnmore#c864cd71] They also told them which ones to ignore completely.
- [x_2xnmore#767b7b0f] The difference between those two lists will determine more portfolio outcomes this year than any price chart.
- [x_2xnmore#4542e082] Here is the full breakdown.
- [x_2xnmore#9a520e1a] The macro case first.
- [x_2xnmore#6bb86630] Fifteen years ago crypto was one asset with a $1 million market cap.
- [x_2xnmore#b8f45019] Today it is a $3 trillion asset class sitt

## 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=117, 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=117, 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=117, method=platform_profile

## Freshness
- profile_checked_days_ago: 117
- content_analysed_days_ago: 79
- audience_updated_days_ago: 20

## AI retrieval
- indexing_requests: 13
- 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_2xnmore
- Request removal: https://koinonlink.com/claim?k=x_2xnmore
- Terms: https://koinonlink.com/for-ai