# Woody (@woody_research) on x

- id: koinon:creator:x_woody_research
- url: https://koinonlink.com/kol/x/woody_research
- schema_version: 1.4

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

## Reach
- followers: 17996
- following: 47
- posts_total: 7039
- posts_observed: 9
- posts_per_day: 6.956
- account_age_days: 1012
- verified: true
- size_tier: koc

## Engagement
- status: peak_post_only
- peak_post_engagement_rate: 0.00411
- best_post_interactions: 74
- 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: software
- subcategory: ai_tools
- category_confidence: 0.95
- category_source: derived_from_recent_content
- topics: YouTube automation with AI, Faceless channel earnings and case studies, Claude for content creation, Niche and format adaptation strategies
- bio: 𝐫𝐞𝐬𝐞𝐚𝐫𝐜𝐡𝐞𝐬 | 𝐠𝐮𝐢𝐝𝐞𝐬 | 𝐢𝐧𝐯𝐞𝐬𝐭𝐦𝐞𝐧𝐭𝐬

## Audience (inferred)
- status: present
- description: Side hustlers and aspiring creators building faceless YouTube channels with AI tools like Claude for automated content and monetization
- roles: automation
- seniority: practitioner
- pain_points: Struggling to generate consistent video scripts and topics at scale, Uncertainty around proven formats that convert across niches, Long timelines to reach meaningful monthly revenue like $4k+, Managing production without a team or visible on-camera presence
- posts_analysed: 2
- 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: 83
- authenticity_basis: engagement_observed
- credibility_score: 83
- 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_woody_research#0a634c51] This guy made $100,000 in six months with Claude and YouTube automation. Most channels copy topics inside crowded niches. He takes proven formats from one market, bends them into another and uses Claude to produce the scripts at scale. That difference turned automation from AI sl (https://twitter.com/woody_research/status/2071981134896849206)
- [x_woody_research#a30b3fd5] His parents heard YouTube videos through the wall for 13 days. They did not know their 24-year-old son was building a faceless channel on pace for $4,000 a month. No camera. No editor. No voice of his own. Just one format repeated until YouTube started paying attention: “the econ

## 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=76, method=llm_persona_from_recent_content
- audience.roles: source_type=ai_inferred, confidence=0.4, freshness_days=76, method=llm_persona_from_recent_content
- audience.seniority: source_type=ai_inferred, confidence=0.4, freshness_days=76, 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=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=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=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: 77
- audience_updated_days_ago: 76

## AI retrieval
- indexing_requests: 9
- 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_woody_research
- Request removal: https://koinonlink.com/claim?k=x_woody_research
- Terms: https://koinonlink.com/for-ai