# AWS (@amazonwebservices) on tiktok

- id: koinon:creator:tiktok_amazonwebservices
- url: https://koinonlink.com/kol/tiktok/amazonwebservices
- schema_version: 1.4

## Identity
- platform: tiktok
- handle: amazonwebservices
- platform_url: https://www.tiktok.com/@amazonwebservices
- website: go.aws/awstiktok
- country: United States
- entity_type: creator
- person_id: Cross-platform identity not resolved for this creator.

## Reach
- followers: 513566
- following: 41
- posts_observed: 17
- 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: AWS product launches (EC2, DynamoDB, Bedrock, Quick), AI agents and infrastructure at scale, re:Invent conference and hands-on sessions, Sports tech partnerships (Bundesliga, F1, NFL), Startup credits and builder grants, Real-world AI use cases in enterprise

## Audience (inferred)
- status: present
- description: Cloud engineers, developers, data architects and AI/ML practitioners who build or evaluate AWS infrastructure and services
- roles: dev
- seniority: practitioner
- pain_points: Scaling AI inference and vector search at trillion-scale with low latency, Managing release processes and compliance when AI coding tools accelerate development, Connecting siloed data across CRM, Snowflake and internal tools for sales/finance teams, Keeping up with new AWS services, Graviton instances and agentic AI capabilities
- posts_analysed: 91
- confidence: 0.9

## Commercial (inferred)
- audience_buyer_fit: 0.8
- 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.

## Evidence
- [tiktok_amazonwebservices#f3c1b7d0] Scale your AI inference, graphics, and analytics workloads with the GPU power to get you there. Amazon EC2 G7 instances are now generally available — accelerated by NVIDIA RTX PRO 4500 Blackwell Server Edition GPUs, first on AWS. Up to 4.6x AI inference and 2.1x graphics performa (https://www.tiktok.com/@amazonwebservices)
- [tiktok_amazonwebservices#17b1ef9d] original sound - amazonwebservices
- [tiktok_amazonwebservices#4e9455a2] Check out AWS’s video! #TikTok >
- [tiktok_amazonwebservices#95e2e0cb] In the 80s, Jeff Barr got lost in Japan. He never really left. He’s been back to JAWS-UG 10 times.
- [tiktok_amazonwebservices#a208ef4f] Which one is harder: Coming up with a world-changing idea in 48 hours, or actually building it in 1? On Episode 001, we found a certified Golden Jacket (J

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

- audience.description: source_type=ai_inferred, confidence=0.9, freshness_days=74, method=llm_persona_from_recent_content
- audience.roles: source_type=ai_inferred, confidence=0.9, freshness_days=74, method=llm_persona_from_recent_content
- audience.seniority: source_type=ai_inferred, confidence=0.9, freshness_days=74, method=llm_persona_from_recent_content
- commercial.audience_buyer_fit: source_type=ai_inferred, confidence=0.6, freshness_days=49, 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=49, method=llm_scorer
- quality.anomaly_flags: source_type=heuristic, confidence=0.5, freshness_days=55, 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=49, 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=55, 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=55, method=platform_profile

## Freshness
- profile_checked_days_ago: 55
- content_analysed_days_ago: 49
- audience_updated_days_ago: 74

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