# Green Code (@Green-Code) on youtube

- id: koinon:creator:youtube_green-code
- url: https://koinonlink.com/kol/youtube/Green-Code
- schema_version: 1.4

## Identity
- platform: youtube
- handle: Green-Code
- platform_url: https://www.youtube.com/@Green-Code
- country: United Kingdom
- entity_type: creator
- person_id: Cross-platform identity not resolved for this creator.

## Reach
- followers: 213000
- posts_observed: 4
- verified: false
- size_tier: kol

## Engagement
- status: not_collected
- status_note: Engagement has not been collected for this creator yet. This is a gap in our collection, NOT a statement that the creator has no engagement. Follower count is known, so it is measurable.
- 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: devtools
- category_confidence: 0.9
- category_source: derived_from_recent_content
- topics: AI experiments and predictions, LeetCode problem solving, Algorithm implementations, Mathematical curiosities in code, Personal coding projects and apps
- bio: 01001000 01101001 00100001 00100000 01001001 00100000 01101101 01100001 01101011 01100101 00100000 ...

## Audience (inferred)
- status: present
- description: CS students, junior developers and coding enthusiasts focused on algorithms, LeetCode and AI experiments
- roles: dev
- seniority: learner
- pain_points: Solving LeetCode problems efficiently for interviews, Implementing algorithms like sorting and maze solvers from scratch, Applying AI models to real-world prediction tasks like sports, Finding and building small personal coding projects
- posts_analysed: 21
- confidence: 0.6

## Commercial (inferred)
- audience_buyer_fit: 0.9
- promotion_intent: 0.8
- open_to_collaboration: false
- contact: Koinon does not publish creator contact details.

## Quality signals
- authenticity_score: 58
- authenticity_basis: profile_shape_only
- credibility_score: 58
- 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
- [youtube_green-code#27085c07] I Used AI to SpeedRun Wikpedia (https://www.youtube.com/@Green-Code)
- [youtube_green-code#a41bbd05] I Predicted Wimbledon with AI (Round 3)
- [youtube_green-code#c59d362a] I Predicted Wimbledon with AI (Round 2)
- [youtube_green-code#7ac7b127] I Trained AI to Predict Wimbledon (ROUND 1)
- [youtube_green-code#8cf7b46a] I Solved 100 LeetCode Problems
- [youtube_green-code#34f8744c] Ma Lin is the Goat 🐐🐐
- [youtube_green-code#0232914e] This Prime Number Is Illegal
- [youtube_green-code#93f91e46] Who wins?

## Provenance
Every inferred field below carries how it was produced. Facts stay facts; inferences stay inferences.

- audience.description: source_type=ai_inferred, confidence=0.6, freshness_days=67, method=llm_persona_from_recent_content
- audience.roles: source_type=ai_inferred, confidence=0.6, freshness_days=67, method=llm_persona_from_recent_content
- audience.seniority: source_type=ai_inferred, confidence=0.6, freshness_days=67, method=llm_persona_from_recent_content
- commercial.audience_buyer_fit: source_type=ai_inferred, confidence=0.6, freshness_days=48, 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=48, method=llm_scorer
- quality.anomaly_flags: source_type=heuristic, confidence=0.5, freshness_days=48, 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=0.25, freshness_days=48, 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=48, 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=48, method=platform_profile

## Freshness
- profile_checked_days_ago: 48
- content_analysed_days_ago: 48
- audience_updated_days_ago: 67

## AI retrieval
- indexing_requests: 7
- 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=youtube_green-code
- Request removal: https://koinonlink.com/claim?k=youtube_green-code
- Terms: https://koinonlink.com/for-ai