# Built This Week (@BuiltThisWeek) on youtube

- id: koinon:creator:youtube_builtthisweek
- url: https://koinonlink.com/kol/youtube/BuiltThisWeek
- schema_version: 1.4

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

## Reach
- followers: 33200
- posts_observed: 72
- 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: 0.9
- category_source: derived_from_recent_content
- topics: AI在硬件设计与物理建模中的应用, 形式化方法与代码验证工具, OpenAI及其他大模型的硬件与商业进展, AI工具加速工程测试与仿真, 遗留系统现代化与关键基础设施AI化
- bio: Real Builders. Real AI Tools. Real Time. Built This Week is the no-fluff, behind-the-scenes podcast where we show you exactly ...

## Audience (inferred)
- status: present
- description: AI hardware engineers, chip design professionals, and tech practitioners interested in AI tools for engineering verification and hardware development
- roles: dev, automation
- seniority: practitioner
- pain_points: High chip tape-out costs and simulation times lasting several days, Legacy code that's hard to maintain and carries high risk (in automotive, medical, and power grid applications), AI-generated code lacks mathematical proof, making it unsuitable for critical systems, Outdated hardware thermal management and physical modeling tools with slow iteration cycles
- posts_analysed: 48
- confidence: 0.75

## 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: 51
- authenticity_basis: profile_shape_only
- credibility_score: 51
- 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_builtthisweek#408741c4] Claude Redesigned This Entire App in 30 Minutes (https://www.youtube.com/@BuiltThisWeek)
- [youtube_builtthisweek#33e37e7d] Elon Says Grok Caught OpenAI
- [youtube_builtthisweek#6fb4a186] Google Just Cloned the AirTag
- [youtube_builtthisweek#d5288ab4] Wall Street Is Now Investing in AI Chips. Meta Dropped a Free Agent. And Anthropic Has a $9B Secret.
- [youtube_builtthisweek#0064f06e] 1 Year of Building With AI. Here Is What We Actually Made.
- [youtube_builtthisweek#43d16b2c] OpenAI's new speaker?
- [youtube_builtthisweek#e76f3284] OpenAI's rogue agents.
- [youtube_builtthisweek#4264ec33] SpaceX Beat Every Estimate. The Stock Dropped Anyway.

## 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=69, 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=69, method=llm_scorer
- quality.anomaly_flags: source_type=heuristic, confidence=0.5, freshness_days=78, 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=69, 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=78, 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=78, method=platform_profile

## Freshness
- profile_checked_days_ago: 78
- content_analysed_days_ago: 69
- audience_updated_days_ago: 84

## AI retrieval
- indexing_requests: 12
- 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_builtthisweek
- Request removal: https://koinonlink.com/claim?k=youtube_builtthisweek
- Terms: https://koinonlink.com/for-ai