# Suraj Jha (@codebysuraj) on youtube

- id: koinon:creator:youtube_codebysuraj
- url: https://koinonlink.com/kol/youtube/codebysuraj
- schema_version: 1.4

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

## Reach
- followers: 11300
- posts_observed: 1
- verified: false
- size_tier: koc

## 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: 0.9
- category_source: derived_from_recent_content
- topics: DSA与面试题, Web开发(HTML/CSS/JS), 编程语言基础与自定义实现, VSCode扩展与学习资源, 编码技巧与面试准备
- bio: Welcome to the channel where code meets clarity. My name is Suraj, and here you'll find in-depth tutorials, insightful breakdowns, ...

## Audience (inferred)
- status: present
- description: beginners in programming, computer science students, and job seekers focusing on web development, DSA, and interview prep
- roles: dev
- seniority: learner
- pain_points: lack of systematic resources for preparing programming interviews and DSA problems, difficulty understanding foundational programming concepts and implementing them from scratch, struggling to find high-quality free learning websites and tools, slow improvement in practical coding skills after engineering study
- posts_analysed: 34
- confidence: 0.75

## Commercial (inferred)
- audience_buyer_fit: 0.9
- promotion_intent: 0.7
- open_to_collaboration: false
- contact: Koinon does not publish creator contact details.

## Quality signals
- authenticity_score: 45
- authenticity_basis: profile_shape_only
- credibility_score: 45
- 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_codebysuraj#d67c714e] What is DOS Attack (https://www.youtube.com/@codebysuraj)
- [youtube_codebysuraj#175bbb3c] 4 May 2026
- [youtube_codebysuraj#93d4cb2e] 30 April 2026
- [youtube_codebysuraj#d3c3c190] Javascript interview question-1 #coding #chatgpt #programming #tech #techtok #python #code
- [youtube_codebysuraj#63ffe98a] 26 March 2025
- [youtube_codebysuraj#6aea4146] How to make your own programming language ? #javascript #codinglanguage #cpp #nextjsframework
- [youtube_codebysuraj#7a3587bc] How to make a application that make another application #ai #viral #foryou
- [youtube_codebysuraj#b74624f5] Mai toh chla sbji bechnai💀 #programming  #javascriptframework #codinglanguage

## 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=67, method=llm_persona_from_recent_content
- audience.roles: source_type=ai_inferred, confidence=0.75, freshness_days=67, method=llm_persona_from_recent_content
- audience.seniority: source_type=ai_inferred, confidence=0.75, freshness_days=67, method=llm_persona_from_recent_content
- commercial.audience_buyer_fit: source_type=ai_inferred, confidence=0.6, freshness_days=67, 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=67, method=llm_scorer
- quality.anomaly_flags: source_type=heuristic, confidence=0.5, freshness_days=67, 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=67, 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=67, 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=67, method=platform_profile

## Freshness
- profile_checked_days_ago: 67
- content_analysed_days_ago: 67
- audience_updated_days_ago: 67

## AI retrieval
- indexing_requests: 13
- 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_codebysuraj
- Request removal: https://koinonlink.com/claim?k=youtube_codebysuraj
- Terms: https://koinonlink.com/for-ai