# Opichi AI (@Opichi) on youtube

- id: koinon:creator:youtube_opichi
- url: https://koinonlink.com/kol/youtube/Opichi
- schema_version: 1.4

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

## Reach
- followers: 1040
- posts_observed: 4
- 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 coding 最佳实践（one task one chat、CLAUDE.md）, Claude/Cursor/Lovable 工具使用与对比, AI 生成代码的安全与调试, web 部署、hosting 与 e-commerce 集成, vibecoding 效率技巧
- bio: What You'll Find: -AI App Builder Support -- Your app is 80% there. We get you to 100%. -AI for Business – Custom apps that ...

## Audience (inferred)
- status: present
- description: Independent developers, vibe coders, and small team tech executors who rapidly build web/apps using AI tools like Claude, Cursor, and Lovable
- roles: dev
- seniority: practitioner
- pain_points: AI-generated code keeps getting stuck in endless debug loops, Security vulnerabilities and secret key leaks from AI tools, High token usage leading to uncontrollable costs, Complex and error-prone authentication, deployment, and hosting setup
- 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: 31
- authenticity_basis: profile_shape_only
- credibility_score: 31
- 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
- [youtube_opichi#bb2de5b3] How to debug a #lovable Auth issue #supabase #ai (https://www.youtube.com/@Opichi)
- [youtube_opichi#d5ff375a] Start making json work-lists for better #aicoding outcomes with #codex or #claude
- [youtube_opichi#b917975e] Stop repeating yourself to #claude #aitools #tipsforai
- [youtube_opichi#32bb3e01] OpenAI #chatgpt 5.6 Sol is out!
- [youtube_opichi#725e066f] Respect yourself, and respect others when using AI. #chatgpt #claudecowork #codex
- [youtube_opichi#242e937f] One line in your CLAUDE.md or AGENTS.md can save you hours of trouble. #claudecode #codex
- [youtube_opichi#0741ef6e] AI can go the wrong direction very quickly. Try these steps to get better outcomes. #claude #chatgpt
- [youtube_opichi#c133f11b] Follow the one task, one chat rule for better code from #Claudecode, #cursor, #codex

## 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=78, method=llm_persona_from_recent_content
- audience.roles: source_type=ai_inferred, confidence=0.75, freshness_days=78, method=llm_persona_from_recent_content
- audience.seniority: source_type=ai_inferred, confidence=0.75, freshness_days=78, 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=96, 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=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=96, 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=96, method=platform_profile

## Freshness
- profile_checked_days_ago: 96
- content_analysed_days_ago: 78
- audience_updated_days_ago: 78

## AI retrieval
- indexing_requests: 14
- 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_opichi
- Request removal: https://koinonlink.com/claim?k=youtube_opichi
- Terms: https://koinonlink.com/for-ai