# Malay Krishna (@Malay4Product) on x

- id: koinon:creator:x_malay4product
- url: https://koinonlink.com/kol/x/Malay4Product
- schema_version: 1.4

## Identity
- platform: x
- handle: Malay4Product
- platform_url: https://twitter.com/Malay4Product
- website: http://www.ayuda.co.in
- country: India
- entity_type: creator
- person_id: Cross-platform identity not resolved for this creator.

## Reach
- followers: 2328
- following: 20
- posts_total: 1026
- posts_observed: 4
- posts_per_day: 0.857
- account_age_days: 1197
- verified: true
- size_tier: nano

## Engagement
- status: peak_post_only
- peak_post_engagement_rate: 0.01546
- best_post_interactions: 36
- measurement_source: x_post_interactions
- measurement_formula: interactions on one post — likes, or likes + reposts + replies depending on the discovery path (the two are not distinguishable in the stored data)
- comparable_pool: peak_interactions
- status_note: We have only the single best observed post, so no mean exists. peak_post_engagement_rate is an UPPER BOUND, systematically higher than an average — never compare it against an average rate.
- 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: saas
- category_confidence: 0.88
- category_source: derived_from_recent_content
- topics: AI product management career path, Breaking into AI PM roles, Product management for AI products, Career advice for PMs
- bio: Director of PM @ Vyapar | PM Mentor - I help people break into AI PM roles

## Audience (inferred)
- status: present
- description: Aspiring or early-career product managers aiming to break into AI product management roles, especially those targeting tech companies or startups
- roles: none
- seniority: practitioner
- pain_points: Struggling to get noticed in competitive AI PM job markets, Lacking clear guidance on what skills or projects to build for AI PM roles, Feeling overwhelmed by ambiguous or misleading career advice online
- posts_analysed: 1
- 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: 72
- authenticity_basis: engagement_observed
- credibility_score: 72
- flagged_for_review: false
- koinon_bd_grade: A — 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
- [x_malay4product#7fb138ef] This ranking is just noise, and we should ignore it. First, let's understand what this thing actually is. The Environmental Performance Index comes out every two years. It is made by researchers at Yale and Columbia universities in America. They score 177 countries on 47 differen (https://twitter.com/Malay4Product)

## 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=21, method=llm_persona_from_recent_content
- audience.roles: source_type=ai_inferred, confidence=0.4, freshness_days=21, method=llm_persona_from_recent_content
- audience.seniority: source_type=ai_inferred, confidence=0.4, freshness_days=21, method=llm_persona_from_recent_content
- commercial.audience_buyer_fit: source_type=ai_inferred, confidence=0.6, freshness_days=80, 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=80, method=llm_scorer
- quality.anomaly_flags: source_type=heuristic, confidence=0.5, freshness_days=108, 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=0.5, freshness_days=80, 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=108, 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=108, method=platform_profile

## Freshness
- profile_checked_days_ago: 108
- content_analysed_days_ago: 80
- audience_updated_days_ago: 21

## AI retrieval
- indexing_requests: 8
- 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=x_malay4product
- Request removal: https://koinonlink.com/claim?k=x_malay4product
- Terms: https://koinonlink.com/for-ai