# Coding With Sagar (@codingwithsagarcw) on youtube

- id: koinon:creator:youtube_codingwithsagarcw
- url: https://koinonlink.com/kol/youtube/codingwithsagarcw
- schema_version: 1.4

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

## Reach
- followers: 498000
- posts_observed: 5
- 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: 0.9
- category_source: derived_from_recent_content
- topics: Software developer interview questions, Python scripting and automation, Data science and ML basics, Tech job search and career advice, AI tools and computer vision demos
- bio: New in Data-Science/AI/ML/Analytics? Join us for a fun and practical journey into the coding world, Master Programming ...

## Audience (inferred)
- status: present
- description: Aspiring software engineers, data analysts and junior coders (mostly in India) preparing for tech interviews and learning practical Python/AI skills
- roles: dev
- seniority: learner
- pain_points: Cracking coding interviews at top MNCs like Google, Amazon, Uber, Finding practical ways to learn Python and data science without formal courses, Getting interview calls and standing out in job applications, Building quick portfolio projects or tools with limited resources
- posts_analysed: 47
- confidence: 0.75

## Commercial (inferred)
- audience_buyer_fit: 0.8
- 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.

## Evidence
- [youtube_codingwithsagarcw#cd988daf] Impossible 8th Fold? (https://www.youtube.com/@codingwithsagarcw)
- [youtube_codingwithsagarcw#3f311e0a] Your Phone Is Making You Color Blind? 😳 #computervision
- [youtube_codingwithsagarcw#df195983] Met the original Python today 😱
- [youtube_codingwithsagarcw#fc76e4c9] Save youth save India 🇮🇳
- [youtube_codingwithsagarcw#59c04c91] You Don't Need to Learn 8000 Languages 😩
- [youtube_codingwithsagarcw#7decfe7b] This AI Writes Your Tests For You 🤯 #Shorts
- [youtube_codingwithsagarcw#ae71df9f] #claude breaking news
- [youtube_codingwithsagarcw#3065b0b1] #tesla software developer Interview Question

## 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=74, method=llm_persona_from_recent_content
- audience.roles: source_type=ai_inferred, confidence=0.75, freshness_days=74, method=llm_persona_from_recent_content
- audience.seniority: source_type=ai_inferred, confidence=0.75, freshness_days=74, method=llm_persona_from_recent_content
- commercial.audience_buyer_fit: source_type=ai_inferred, confidence=0.6, freshness_days=74, 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=74, method=llm_scorer
- quality.anomaly_flags: source_type=heuristic, confidence=0.5, freshness_days=79, 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=74, 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=79, 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=79, method=platform_profile

## Freshness
- profile_checked_days_ago: 79
- content_analysed_days_ago: 74
- audience_updated_days_ago: 74

## AI retrieval
- indexing_requests: 10
- 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_codingwithsagarcw
- Request removal: https://koinonlink.com/claim?k=youtube_codingwithsagarcw
- Terms: https://koinonlink.com/for-ai