# SCALER (@SCALER) on youtube

- id: koinon:creator:youtube_scaler
- url: https://koinonlink.com/kol/youtube/SCALER
- schema_version: 1.4

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

## Reach
- followers: 345000
- posts_observed: 1
- 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: AI coding tools and prompting, Forward Deployed Engineer roles, Tech career transitions and interviews, Fundamentals vs vibe coding, AI job market and hiring trends
- bio: At Scaler, we've spent over a decade building education that actually compounds. Our programs are #Fundamentalfirst ...

## Audience (inferred)
- status: present
- description: Early-career software engineers, AI aspirants and tech job seekers in India focused on upskilling and interviews
- roles: dev
- seniority: practitioner
- pain_points: Uncertainty about whether coding skills are becoming obsolete due to AI, Difficulty preparing for 2026 tech interviews and recruiter expectations, Struggling to balance AI tools with strong fundamentals, High costs and unclear ROI of AI/ML courses in India
- posts_analysed: 40
- 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_scaler#868be0e7] You Forget Almost Everything You Learn. Fix It Like This. (https://www.youtube.com/@SCALER)
- [youtube_scaler#b5f48801] Stop Taking Notes. Build a Second Brain Instead.
- [youtube_scaler#89f08872] Why Indian Universities Can't Keep Up With AI | Watch the Full Podcast
- [youtube_scaler#47679882] "Can AI Replace Comedians? Biswa Kalyan Rath's Answer Will Surprise You
- [youtube_scaler#1986d06b] India Needs to Stop Being The Users of AI | Watch Full Podcast @SCALER
- [youtube_scaler#031ba091] Biswa Discusses His Dumb AI Prompts | Watch The Full Podcast
- [youtube_scaler#0191af42] Biswa on Whether AI Will Take our Jobs?
- [youtube_scaler#0257123b] The FDE Role is here to stay. Here's why.

## 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=56, method=llm_persona_from_recent_content
- audience.roles: source_type=ai_inferred, confidence=0.75, freshness_days=56, method=llm_persona_from_recent_content
- audience.seniority: source_type=ai_inferred, confidence=0.75, freshness_days=56, method=llm_persona_from_recent_content
- commercial.audience_buyer_fit: source_type=ai_inferred, confidence=0.6, freshness_days=56, 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=56, method=llm_scorer
- quality.anomaly_flags: source_type=heuristic, confidence=0.5, freshness_days=56, 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=56, 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=56, 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=56, method=platform_profile

## Freshness
- profile_checked_days_ago: 56
- content_analysed_days_ago: 56
- audience_updated_days_ago: 56

## AI retrieval
- indexing_requests: 11
- 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_scaler
- Request removal: https://koinonlink.com/claim?k=youtube_scaler
- Terms: https://koinonlink.com/for-ai