# Aniruddha Mishra (Ani) (@adswithani) on x

- id: koinon:creator:x_adswithani
- url: https://koinonlink.com/kol/x/adswithani
- schema_version: 1.4

## Identity
- platform: x
- handle: adswithani
- platform_url: https://twitter.com/adswithani
- website: https://linktr.ee/aniruddha_mishra
- country: India
- entity_type: creator
- person_id: Cross-platform identity not resolved for this creator.

## Reach
- followers: 4326
- following: 493
- posts_total: 1836
- posts_observed: 9
- posts_per_day: 1.243
- account_age_days: 1477
- verified: true
- size_tier: nano

## Engagement
- status: peak_post_only
- peak_post_engagement_rate: 0.00555
- best_post_interactions: 24
- 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: martech
- category_confidence: 0.9
- category_source: derived_from_recent_content
- topics: AI-powered ad optimization, Paid social strategy, Creative performance analysis, Automated marketing dashboards, CVR root-cause analysis, AI tools for growth marketing
- bio: Director of Growth @ https://t.co/PuP4f1RymD | 🏆 Sharing Value Bombs around Paid Social and Creative Strategy

## Audience (inferred)
- status: present
- description: Growth marketers and paid social specialists using AI tools to optimize ad performance and creative strategy
- roles: ads
- seniority: practitioner
- pain_points: Struggling to analyze large volumes of user behavior data like session recordings and heatmaps manually, Having difficulty identifying root causes of conversion rate drops across multiple dimensions (landing page, geo, channe, Lacking efficient ways to automate repetitive tasks like ad naming and dashboard creation
- posts_analysed: 8
- confidence: 0.4

## Commercial (inferred)
- audience_buyer_fit: 0.6
- promotion_intent: 0.6
- open_to_collaboration: false
- contact: Koinon does not publish creator contact details.

## Quality signals
- authenticity_score: 78
- authenticity_basis: engagement_observed
- credibility_score: 78
- 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_adswithani#829f73e3] 11 things Claude Code + MCP helped me do that I couldn’t have done myself 2 months ago: (https://twitter.com/adswithani)
- [x_adswithani#b232c8d7] 1. Improve upsell and downsell flows
- [x_adswithani#05614e03] 2. Analyze 1000s of MS Clarity recordings and heatmaps
- [x_adswithani#80bc1904] 3. Built winning ad alert dashboards
- [x_adswithani#dc700e6a] 4. Built angle performance dashboards
- [x_adswithani#da924c6c] 5. Automate ad naming conventions
- [x_adswithani#205d46ef] 6. Create recurring CVR root-cause dashboards
- [x_adswithani#58577772] 7. Break down CVR drops by landing page, geo, channel, and devi

## 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=79, 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=79, 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=79, 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: 79
- audience_updated_days_ago: 21

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