# AMD Developer Central (@AMDDevCentral) on youtube

- id: koinon:creator:youtube_amddevcentral
- url: https://koinonlink.com/kol/youtube/AMDDevCentral
- schema_version: 1.4

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

## Reach
- followers: 31300
- posts_observed: 61
- verified: false
- size_tier: koc

## 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: 0.94
- category_source: derived_from_recent_content
- topics: AMD ROCm software and PyTorch integration, Open, scalable AI ecosystems vs proprietary stacks, AI developer tools, agents, and performance tuning, Interviews with AMD execs and partner AI leaders, Future of AI compute and open collaboration
- bio: This channel is dedicated to technology, education, demos, and discussions created by and for developers, with a focus on topics ...

## Audience (inferred)
- status: present
- description: AI/ML developers and engineers focused on AMD hardware, ROCm software, and open AI ecosystems, primarily practitioners building models, agents, and infrastructure
- roles: dev
- seniority: practitioner
- pain_points: ROCm onboarding and compatibility issues compared to CUDA, Fragmented AI tooling and lack of seamless interoperability, Performance optimization challenges on AMD GPUs for LLMs and multi-modal models, Keeping up with rapidly evolving open-source AI frameworks and best practices
- posts_analysed: 44
- confidence: 0.75

## Commercial (inferred)
- audience_buyer_fit: 0.8
- promotion_intent: 0.6
- open_to_collaboration: false
- contact: Koinon does not publish creator contact details.

## Quality signals
- authenticity_score: 50
- authenticity_basis: profile_shape_only
- credibility_score: 50
- 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.

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

- audience.description: source_type=ai_inferred, confidence=0.75, freshness_days=84, method=llm_persona_from_recent_content
- audience.roles: source_type=ai_inferred, confidence=0.75, freshness_days=84, method=llm_persona_from_recent_content
- audience.seniority: source_type=ai_inferred, confidence=0.75, freshness_days=84, method=llm_persona_from_recent_content
- commercial.audience_buyer_fit: source_type=ai_inferred, confidence=0.6, freshness_days=0, 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=0, 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=0, 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: 0
- audience_updated_days_ago: 84

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