# ADIN (@ADINresearch) on x

- id: koinon:creator:x_adinresearch
- url: https://koinonlink.com/kol/x/ADINresearch
- schema_version: 1.4

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

## Reach
- followers: 1157
- following: 92
- posts_total: 663
- posts_observed: 3
- posts_per_day: 2.621
- account_age_days: 253
- verified: true
- size_tier: nano

## Engagement
- status: peak_post_only
- peak_post_engagement_rate: 0.03457
- best_post_interactions: 40
- 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: Bitcoin price action and technical levels, Market manipulation and structural patterns, Crypto trading liquidations and short squeezes, Emerging tech startups using AI for social media automation, Historical market behavior and its modern重现
- bio: Superhuman research from @adinonline

## Audience (inferred)
- status: present
- description: Crypto traders and market structure enthusiasts, primarily active in Bitcoin and altcoin trading with a focus on technical analysis and macro market dynamics
- roles: ads
- seniority: practitioner
- pain_points: Struggling to interpret sudden market reversals after key technical levels are hit, Failing to anticipate large-scale liquidations during high-volatility events, Difficulty in identifying manipulative market structures that mimic organic behavior
- posts_analysed: 8
- confidence: 0.4

## Commercial (inferred)
- audience_buyer_fit: 0.3
- promotion_intent: 0.1
- open_to_collaboration: false
- contact: Koinon does not publish creator contact details.

## Quality signals
- authenticity_score: 58
- authenticity_basis: engagement_observed
- credibility_score: 58
- 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_adinresearch#f1a75f99] https://t.co/QBH2qQea4G (https://twitter.com/ADINresearch/status/2023765220812853466)
- [x_adinresearch#0eb1e730] $BTC just tagged its 200-week moving average for the first time since the 2022 bottom. shorts piled in. then $320M of them got liquidated in 15 minutes. here's what actually happened this week and why this bounce is fake until proven otherwise.
- [x_adinresearch#edff403b] https://t.co/lEbP72EddR
- [x_adinresearch#6d42c516] Here's what @ADINresearch predicted... https://t.co/rhptpUILVO
- [x_adinresearch#507d22a6] Jim Bell described this exact market structure in 1995. He got arrested for it. Thirty years later, it's on Polymarket, backed by Y Combinator, and advertised in Manhattan subway stations. The rails are almost fully built.
- [x_adinresearch#d97059de] https://t.co/jJ1DQ4TbLl
- [x_adinresearch#7e6c5051] Doublespeed is a startup with 1,100 phones in a warehouse: - Each phone runs a fake social media persona - The accounts scroll, comment, warm up, and post - The goal is to fool TikTok's algorithm into thinking they're human. a16z gave them $1 million.
- [x_adinresearch#4c7521c1] The Backrooms had no owner, s

## 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=80, 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=80, 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=80, 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: 80
- 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_adinresearch
- Request removal: https://koinonlink.com/claim?k=x_adinresearch
- Terms: https://koinonlink.com/for-ai