# 고딩경제맨 (@winneravgwin) on x

- id: koinon:creator:x_winneravgwin
- url: https://koinonlink.com/kol/x/winneravgwin
- schema_version: 1.4

## Identity
- platform: x
- handle: winneravgwin
- platform_url: https://twitter.com/winneravgwin
- country: South Korea
- entity_type: creator
- person_id: Cross-platform identity not resolved for this creator.

## Reach
- followers: 1977
- following: 2042
- posts_total: 12363
- posts_observed: 1
- posts_per_day: 65.761
- account_age_days: 188
- verified: true
- size_tier: nano

## Engagement
- status: peak_post_only
- peak_post_engagement_rate: 0.00455
- best_post_interactions: 9
- measurement_source: x_post_interactions
- measurement_formula: interactions on one post — likes, or likes + reposts + replies depending on the discovery path (the two are not distinguishable in the stored data)
- comparable_pool: peak_interactions
- status_note: We have only the single best observed post, so no mean exists. peak_post_engagement_rate is an UPPER BOUND, systematically higher than an average — never compare it against an average rate.
- 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: 0.85
- category_source: derived_from_recent_content
- topics: Agentic AI development, Web and app design with shadcn/ui, AI automation in product building, Leadership changes in AI product teams, Exploring AI-driven coding and deployment
- bio: Dreaming of infinity allows you to achieve limitless results⌘

▎Researching Agentic AI + tech 
▎바이브코딩·자동화·트레이딩 실험 글🥷 🇰🇷

## Audience (inferred)
- status: present
- description: Korean tech enthusiasts and early adopters interested in agentic AI, automation, and web/app development, primarily young professionals and students exploring cutting-edge tools
- roles: automation
- seniority: learner
- pain_points: Struggling to understand how to effectively instruct AI agents to build complex UIs and components, Finding it hard to keep up with rapid changes in AI product leadership and strategy, Lacking clear, practical resources for implementing modern design systems like shadcn/ui in real projects
- posts_analysed: 3
- confidence: 0.4

## Commercial (inferred)
- audience_buyer_fit: 0.7
- promotion_intent: 0.8
- open_to_collaboration: false
- contact: Koinon does not publish creator contact details.

## Quality signals
- authenticity_score: 40
- authenticity_basis: engagement_observed
- credibility_score: 40
- flagged_for_review: false
- koinon_bd_grade: C — 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
- [x_winneravgwin#7adfc005] 님들아 풍악을 올려라! 니키타 비어 𝕏(구 트위터)의 제품 총괄 리더가 사임하며 남긴 퇴임 선언문입니다. 핵심 내용을 요약하면 다음과 같습니다. > 역할 변경 제품 총괄(Head of Product) 자리에서 내려와 자문(Advisor) 역할로 전환하며, 일반 헤비 유저(Poster)로 돌아갑니다. > 퇴임 사유 24/7 전념해야 하는 업무 특성상 휴식과 재충전 시간이 필요하다고 밝혔습니다. 재임 기간 주요 성과 > 신규 사용자 및 참여도 기록 지속 경신, 전년 대비 앱스토어 순위 70계단 상승 (https://twitter.com/winneravgwin/status/2066727144814715158)
- [x_winneravgwin#cf1af97e] 이런걸 당근하는지 몰랐음 양귀비성분때문인가? 단속하는구나 https://t.co/EPHpWpHom8
- [x_winneravgwin#17a2716a] 님들아 앱과 웹사이트를 제작할 때 저는 shadcn/ui Docs 사이트를 자주 참고합니다 https://t.co/NxTrPyybn2 AI 에이전트에게 더 명확하게 디자인과 컴포넌트 구조를 지시하기 위해 공부 중인데요. shadcn/ui는 웹과 앱, 다양한 제품을 만들 때 모두 유용해서 꼭 북마크해 두시는 걸 추천합니다. shadcn/ui가 특히 강력한 이유는 > 코드 직접 제어 패키지를 통째로 설치하는 게 아니라 컴포넌트 코드를 내 프로젝트로 직접 들고 오는 방식이라, Tailwind CSS를 

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

- audience.description: source_type=ai_inferred, confidence=0.4, freshness_days=21, method=llm_persona_from_recent_content
- audience.roles: source_type=ai_inferred, confidence=0.4, freshness_days=21, method=llm_persona_from_recent_content
- audience.seniority: source_type=ai_inferred, confidence=0.4, freshness_days=21, method=llm_persona_from_recent_content
- commercial.audience_buyer_fit: source_type=ai_inferred, confidence=0.6, freshness_days=78, 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=78, method=llm_scorer
- quality.anomaly_flags: source_type=heuristic, confidence=0.5, freshness_days=112, 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=0.5, freshness_days=78, 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=112, 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=112, method=platform_profile

## Freshness
- profile_checked_days_ago: 112
- content_analysed_days_ago: 78
- audience_updated_days_ago: 21

## AI retrieval
- indexing_requests: 8
- 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=x_winneravgwin
- Request removal: https://koinonlink.com/claim?k=x_winneravgwin
- Terms: https://koinonlink.com/for-ai