# IntelligentCoder AI (@intelligentcoderAI) on youtube

- id: koinon:creator:youtube_intelligentcoderai
- url: https://koinonlink.com/kol/youtube/intelligentcoderAI
- schema_version: 1.4

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

## Reach
- followers: 1440
- posts_observed: 2
- 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: 0.85
- category_source: derived_from_recent_content
- topics: AI Agents, LangChain and agentic workflows, Job switching and career moves at Infosys, Technical interview questions (closures, async/await), Impact of AI tools on traditional dev roles (e.g. Figma desi, Programming language facts and fundamentals
- bio: Welcome to IntelligentCoder AI — your go-to destination for mastering the future of development with AI. This channel is dedicated ...

## Audience (inferred)
- status: present
- description: Software developers and engineers (mostly mid-level practitioners) focused on AI-assisted coding, technical interview prep, and job switching in Indian IT services companies like Infosys
- roles: dev
- seniority: practitioner
- pain_points: Job switching, multiple offers, salary negotiation and background verification processes, Rapidly learning new AI tools like LangChain and AI agents to stay relevant in development, Preparing for technical interviews on core JS concepts and emerging AI frameworks, Understanding practical differences between generative AI, agentic AI and building AI teams
- posts_analysed: 11
- confidence: 0.4

## 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: 33
- authenticity_basis: profile_shape_only
- credibility_score: 33
- 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_intelligentcoderai#4037921b] Infosys ECC Accommodation Tour | FREE 7 Days Stay at Infosys Pune Phase 2 | ECC Hostel 2026 (https://www.youtube.com/@intelligentcoderAI)
- [youtube_intelligentcoderai#c5a172a6] My Job Switch Infosys | 5–6 Offers, Salary Negotiation & Infosys BGV
- [youtube_intelligentcoderai#4eb76efd] Interview Question: Closures Explained with Real Example
- [youtube_intelligentcoderai#b2ff9aab] Promise vs Async/Await — Interview Must Know
- [youtube_intelligentcoderai#e0059c42] What is LangChain? Explained in 50 Seconds
- [youtube_intelligentcoderai#ac55fedc] Google Stitch — End of Figma UX Designers?
- [youtube_intelligentcoderai#487e9254] Not One AI… A TEAM of AIs
- [youtube_intelligentcoderai#b6177ce7] Create vs Act | Agentic AI vs Generative AI

## Provenance
Every inferred field below carries how it was produced. Facts stay facts; inferences stay inferences.

- audience.description: source_type=ai_inferred, confidence=0.4, freshness_days=76, method=llm_persona_from_recent_content
- audience.roles: source_type=ai_inferred, confidence=0.4, freshness_days=76, method=llm_persona_from_recent_content
- audience.seniority: source_type=ai_inferred, confidence=0.4, freshness_days=76, method=llm_persona_from_recent_content
- commercial.audience_buyer_fit: source_type=ai_inferred, confidence=0.6, freshness_days=76, 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=76, method=llm_scorer
- quality.anomaly_flags: source_type=heuristic, confidence=0.5, freshness_days=90, 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=76, 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=90, 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=90, method=platform_profile

## Freshness
- profile_checked_days_ago: 90
- content_analysed_days_ago: 76
- audience_updated_days_ago: 76

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