# Rahul Bhardwaj (@rahulb_co) on x

- id: koinon:creator:x_rahulb_co
- url: https://koinonlink.com/kol/x/rahulb_co
- schema_version: 1.4

## Identity
- platform: x
- handle: rahulb_co
- platform_url: https://twitter.com/rahulb_co
- country: United States
- entity_type: creator
- person_id: Cross-platform identity not resolved for this creator.

## Reach
- followers: 1818
- following: 222
- posts_total: 385
- posts_observed: 1
- posts_per_day: 0.169
- account_age_days: 2279
- verified: true
- size_tier: nano

## Engagement
- status: peak_post_only
- peak_post_engagement_rate: 0.0033
- best_post_interactions: 6
- 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: ecommerce
- subcategory: ecom_ads
- category_confidence: 0.85
- category_source: derived_from_recent_content
- topics: AI video ad production at scale, Integrating AI into advertising workflows, Hiring for AI-video roles in ad tech, Building creative pipelines with AI, Overcoming resistance to AI-generated content

## Audience (inferred)
- status: present
- description: AI video advertising practitioners, mainly mid-level to senior ad ops specialists and creative technologists in performance marketing
- roles: ads
- seniority: practitioner
- pain_points: Struggling to scale creative production while maintaining ad quality, Facing skepticism from internal teams about AI-generated content (AIGC) effectiveness, Lacking clear frameworks to integrate AI video tools into existing ad workflows
- posts_analysed: 6
- confidence: 0.4

## Commercial (inferred)
- audience_buyer_fit: 0.9
- promotion_intent: 0.9
- 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_rahulb_co#0e007ad1] Reminder: Meta + TikTok have their own AI video models. They are not incentivized to do this. (https://twitter.com/rahulb_co/status/2069133328813617640)
- [x_rahulb_co#f743bbf5] Creativity can be engineered. This is the exact process we use to make hundreds of ads a week. What should we add to our flow? https://t.co/4Dc9JdYFRF
- [x_rahulb_co#f5e0ac6c] We are hiring engineers. From entry level through CTO. If you're excited about AI-video and advertising, this role is for you. Anyone can code. We're looking for the few who can find what's worth building. You will: - Embed with the best AI creatives and media buyers - Get paid t
- [x_rahulb_co#2a36728a] I'll be in NYC M-W next week. Who should I meet? Shoot me a DM if you want to meet up.
- [x_rahulb_co#c84fcb27] For all the AIUGC haters: 1M views. Fully organic. https://t.co/3xk9JrqoDV
- [x_rahulb_co#1177125d] How to predict

## 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=20, method=llm_persona_from_recent_content
- audience.roles: source_type=ai_inferred, confidence=0.4, freshness_days=20, method=llm_persona_from_recent_content
- audience.seniority: source_type=ai_inferred, confidence=0.4, freshness_days=20, 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=121, 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=121, 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=121, method=platform_profile

## Freshness
- profile_checked_days_ago: 121
- content_analysed_days_ago: 80
- audience_updated_days_ago: 20

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