# Coding Jesus (getcracked.io) (@CodingJesus) on youtube

- id: koinon:creator:youtube_codingjesus
- url: https://koinonlink.com/kol/youtube/CodingJesus
- schema_version: 1.4

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

## Reach
- followers: 285000
- posts_observed: 19
- 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: devtools
- category_confidence: 0.93
- category_source: derived_from_recent_content
- topics: C++ memory, optimization and interview questions, Quant dev interview prep and role timelines, Jane Street, HRT and top quant firm culture/drama, Programming language rankings and comparisons, High-paying tech/quant companies and career choices
- bio: My channel's purpose is to discuss the difficult to navigate world of software engineering and quantitative trading (from a ...

## Audience (inferred)
- status: present
- description: CS students, new grads and junior engineers targeting quant dev roles at top HFT/quant firms (Jane Street, HRT, etc.), with heavy focus on C++ interview prep and low-level systems
- roles: dev
- seniority: learner
- pain_points: Failing quant dev interviews due to weak C++ or low-level knowledge, Not knowing which quant roles pay best or how long prep actually takes, Wasting time on irrelevant languages or projects that don't help land offers, Uncertainty about AI impact on quant engineering careers
- posts_analysed: 48
- confidence: 0.75

## Commercial (inferred)
- audience_buyer_fit: 0.6
- promotion_intent: 0.7
- 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.

## 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=68, method=llm_persona_from_recent_content
- audience.roles: source_type=ai_inferred, confidence=0.75, freshness_days=68, method=llm_persona_from_recent_content
- audience.seniority: source_type=ai_inferred, confidence=0.75, freshness_days=68, method=llm_persona_from_recent_content
- commercial.audience_buyer_fit: source_type=ai_inferred, confidence=0.6, freshness_days=10, 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=10, method=llm_scorer
- quality.anomaly_flags: source_type=heuristic, confidence=0.5, freshness_days=59, 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=10, 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=59, 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=59, method=platform_profile

## Freshness
- profile_checked_days_ago: 59
- content_analysed_days_ago: 10
- audience_updated_days_ago: 68

## AI retrieval
- indexing_requests: 9
- 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_codingjesus
- Request removal: https://koinonlink.com/claim?k=youtube_codingjesus
- Terms: https://koinonlink.com/for-ai