# Hasan Aboul Hasan (@hasanaboulhasan) on youtube

- id: koinon:creator:youtube_hasanaboulhasan
- url: https://koinonlink.com/kol/youtube/hasanaboulhasan
- schema_version: 1.4

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

## Reach
- followers: 1010000
- posts_observed: 4
- 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: ai_tools
- category_confidence: 0.95
- category_source: derived_from_recent_content
- topics: Claude Code tricks and skills, Vibe coding rules and techniques, Building apps and games with AI, AI prompt engineering for creative and business tasks, Monetizing AI tools and launching online businesses
- bio: Addicted to building new projects . 14+ yrs in Tech Dad X 2 Debugging Life.

## Audience (inferred)
- status: present
- description: AI-assisted indie developers and builders focused on rapid prototyping with Claude and similar tools
- roles: dev
- seniority: practitioner
- pain_points: AI-generated code containing hidden bugs that break production apps, Not knowing advanced Claude Code features, hooks and tricks for better results, Difficulty turning quick AI prototypes into reliable, production-ready applications, Finding practical ways to monetize AI-built projects and get traffic
- posts_analysed: 34
- 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: 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
- [youtube_hasanaboulhasan#4c9f1614] 3 Claude Code skills + the 1 I delete #claudecode #claude #claudeskills (https://www.youtube.com/@hasanaboulhasan)
- [youtube_hasanaboulhasan#e9996f23] Free logos with Claude Code #claudecode #claudeskills
- [youtube_hasanaboulhasan#1c374049] Stop hackers with one AI prompt #vibecoding #claudecode #buildinpublic
- [youtube_hasanaboulhasan#fe0295d7] Claude Code Tricks (Part 3)  #claude #claudecode  #vibecoding
- [youtube_hasanaboulhasan#d5306b76] Claude Opus 4.7 is Here!  #claude #ai
- [youtube_hasanaboulhasan#84e57705] Claude Code Tricks (Part 2) #claudecode #claude #vibecoding
- [youtube_hasanaboulhasan#708135c4] Claude Code Tricks You Need to Know (Part 1) #claudecode #claude #vibecoding
- [youtube_hasanaboulhasan#664c62f8] One word every Vibe Coder should know: Debouncing #vibecoding #aicoding  #claudecode

## 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=59, method=llm_persona_from_recent_content
- audience.roles: source_type=ai_inferred, confidence=0.75, freshness_days=59, method=llm_persona_from_recent_content
- audience.seniority: source_type=ai_inferred, confidence=0.75, freshness_days=59, 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=53, 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=53, 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=53, method=platform_profile

## Freshness
- profile_checked_days_ago: 53
- content_analysed_days_ago: 49
- audience_updated_days_ago: 59

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