# 深圳AI全栈产品设计 (@youtu_ux) on xiaohongshu

- id: koinon:creator:xiaohongshu_youtu_ux
- url: https://koinonlink.com/kol/xiaohongshu/youtu_ux
- schema_version: 1.4

## Identity
- platform: xiaohongshu
- handle: youtu_ux
- platform_url: https://www.xiaohongshu.com/user/profile/5b87c5e96b58b743729e703d
- country: China
- entity_type: creator
- person_id: Cross-platform identity not resolved for this creator.

## Reach
- followers: 3500
- posts_observed: 1
- verified: false
- size_tier: nano

## 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: 0.95
- category_source: derived_from_recent_content
- topics: AI全栈式设计培训, Codex+ComfyUI等AI工具实战, 设计师AI时代职场生存, AI生成原型与可用性测试, Figma更新与设计效率变革
- bio: RED ID: youtu_ux

## Audience (inferred)
- status: present
- description: UI/UX designers, product designers, and professionals/students looking to learn AI full-stack design
- roles: design
- seniority: learner
- pain_points: Misusing AI tools leading to wasted tokens or uncontrolled code changes, Traditional UI/UX skills being threatened by Figma and AI automation, fearing job obsolescence, Inadequate preparation for real-world AI-related interview challenges like usability testing and competitive analysis at top companies, Skill gap when transitioning from designing interfaces to using natural language-driven prototyping and full-stack workflows
- posts_analysed: 28
- confidence: 0.6

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

## Quality signals
- authenticity_score: 58
- authenticity_basis: platform_default
- credibility_score: 38
- flagged_for_review: false
- koinon_bd_grade: A — 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
- [xiaohongshu_youtu_ux#5dcc4d29] 深圳AI全栈式设计培训机构，1对1指导 / 优途是谁？ (https://www.xiaohongshu.com/user/profile/5b87c5e96b58b743729e703d)
- [xiaohongshu_youtu_ux#55a013b2] 我们不是传统意义上的培训班。
- [xiaohongshu_youtu_ux#0eeff91c] 优途本身是一家长期做商业项目的设计公司，也是一家专注AI产品设计实战的小班工作室。
- [xiaohongshu_youtu_ux#1494856c] 我们服务过企业真实项目，也一直把真实项目拆解成教学案例。
- [xiaohongshu_youtu_ux#744088a0] 因为现在的设计岗 / 图片转HTML Skill / #AI编程[话题]# #好视频扶持计划[话题]# #AI全栈式设计[话题]# #用户体验设计[话题]# / 以前做一个这样的MV需要多久？现在用AI只需一会就做出来了。#青春中的懵懂暗恋[话题]# #ai漫画[话题]# #AI漫剧howto[话题]# #青春校园文[话题]# #二次元[话题]# #校园到都市 / 很多人都在说，AI来了以后，UI、UX设计师是不是要消失了？
- [xiaohongshu_youtu_ux#8f157d34] #职场生存开放麦[话题]# #AI全栈式设计[话题]# #UI设计[话题]# #交互设计培训[话题]# #用户体验设计[话题]# #AI产 / codex+comfyUI零基础也能玩得转 / 尝试了一下让codex搭建comfyui工作流，发现比想象中还要简单，只需定义清楚你的需求就行，剩下的交给codex它会自己搭建完成。还可以自己定义适合自己操作习惯的UI界面。#职场生存开放麦[话题] / 未来十年最赚钱的8个能力，普通人拉开差距 / #howto用好AI[话题]# #提高竞争力[话题]# #核心竞争力[话题]# / 我用 Codex 后，才发现 t
- [xiaohongshu_youtu_ux#8d83f6a8] 我一开始用 Codex 的时候，没太在意 token。
- [xiaohongshu_youtu_ux#5b129a2c] 总觉得它能看项目、能改代码、能解释问题，那我就直接把需求丢给它：

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

- audience.description: source_type=ai_inferred, confidence=0.6, freshness_days=72, method=llm_persona_from_recent_content
- audience.roles: source_type=ai_inferred, confidence=0.6, freshness_days=72, method=llm_persona_from_recent_content
- audience.seniority: source_type=ai_inferred, confidence=0.6, freshness_days=72, method=llm_persona_from_recent_content
- commercial.audience_buyer_fit: source_type=ai_inferred, confidence=0.6, freshness_days=72, 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=72, method=llm_scorer
- quality.anomaly_flags: source_type=heuristic, confidence=0.5, freshness_days=91, 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=72, method=Fixed value 58, pending engagement collection. Not a measurement. — 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=91, method=llm_partner_fit_classifier + fit_score >= 0.5 => A; >= 0.35 => B; else C. authenticity is not an input. — Koinon partner-outreach fit, not creator quality.
- reach.followers: source_type=observed, confidence=0.95, freshness_days=91, method=platform_profile

## Freshness
- profile_checked_days_ago: 91
- content_analysed_days_ago: 72
- audience_updated_days_ago: 72

## AI retrieval
- indexing_requests: 7
- user_triggered_requests: 1
- last_user_triggered_day: 2026-09-01
- 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=xiaohongshu_youtu_ux
- Request removal: https://koinonlink.com/claim?k=xiaohongshu_youtu_ux
- Terms: https://koinonlink.com/for-ai