# NVIDIA Developer (@NVIDIADeveloper) on youtube

- id: koinon:creator:youtube_nvidiadeveloper
- url: https://koinonlink.com/kol/youtube/NVIDIADeveloper
- schema_version: 1.4

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

## Reach
- followers: 224000
- posts_observed: 148
- 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: ai_tools
- category_confidence: 0.92
- category_source: derived_from_recent_content
- topics: NVIDIA Jetson and edge AI deployment, Cosmos world models and physical AI, Nemotron model family and customization, Agentic AI systems and automation, CUDA, inference optimization and developer tools, Open-source models and research breakthroughs
- bio: Welcome to the NVIDIA Developer YouTube Channel Subscribe to this channel for easy-to-follow “how-to” videos to learn about ...

## Audience (inferred)
- status: present
- description: AI/ML developers, robotics engineers and researchers building production systems with NVIDIA hardware, models and tools, mainly practitioners at tech companies and research labs
- roles: dev
- seniority: practitioner
- pain_points: Deploying and optimizing large models on edge devices like Jetson with limited power and compute, Keeping up with rapid NVIDIA releases of new models (Nemotron, Cosmos) and architectures, Building reliable agentic systems, RAG pipelines and physical AI applications that work in real-world conditions, Reducing LLM inference costs and latency while maintaining quality on NVIDIA GPUs
- posts_analysed: 48
- confidence: 0.75

## Commercial (inferred)
- audience_buyer_fit: 0.9
- promotion_intent: 0.7
- 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.

## 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=77, method=llm_persona_from_recent_content
- audience.roles: source_type=ai_inferred, confidence=0.75, freshness_days=77, method=llm_persona_from_recent_content
- audience.seniority: source_type=ai_inferred, confidence=0.75, freshness_days=77, method=llm_persona_from_recent_content
- commercial.audience_buyer_fit: source_type=ai_inferred, confidence=0.6, freshness_days=17, 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=17, method=llm_scorer
- quality.anomaly_flags: source_type=heuristic, confidence=0.5, freshness_days=46, 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=17, 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=46, 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=46, method=platform_profile

## Freshness
- profile_checked_days_ago: 46
- content_analysed_days_ago: 17
- audience_updated_days_ago: 77

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