# Tudi 🎯 (@Tudi_rad) on x

- id: koinon:creator:x_tudi_rad
- url: https://koinonlink.com/kol/x/Tudi_rad
- schema_version: 1.4

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

## Reach
- followers: 696
- following: 1032
- posts_total: 4735
- posts_observed: 6
- posts_per_day: 1.731
- account_age_days: 2735
- verified: true
- size_tier: nano

## Engagement
- status: peak_post_only
- peak_post_engagement_rate: 0.04598
- best_post_interactions: 32
- 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: 0.9
- category_source: derived_from_recent_content
- topics: Meta ASC/CBO mechanics and spend distribution, AI ad generation and testing strategy, Proper ad concept/format segmentation, Media buying execution pitfalls
- bio: Here for Giants/Knicks. Not buying anything, not clicking link in bio.

Ecom reply guy extraordinaire. 7.5-figure DTC founder. Massive fan of impostor syndrome.

## Audience (inferred)
- status: present
- description: DTC ecom media buyers and Meta ad practitioners, mostly hands-on execution roles at small-mid DTC brands or agencies
- roles: ads
- seniority: practitioner
- pain_points: ASC/CBO putting 90% spend on only 10% of ads without visibility, Wasting budget testing AI-generated ads that lack concept/format diversity, Media buyers making performance claims without proper context or structure
- posts_analysed: 4
- 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: 51
- authenticity_basis: engagement_observed
- credibility_score: 51
- 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
- [x_tudi_rad#995c8a75] I think a lot of media buyers make this claim without providing enough context. (https://twitter.com/Tudi_rad/status/1934548710332981258)
- [x_tudi_rad#b3491f63] Got 30 new AI generated ads with slight modifications? Sure, throw them in a single ASC/CBO and let them duke it out.
- [x_tudi_rad#52f16d1a] But if you have different concepts, formats, products, offers or awareness stages in those 30 ads, you're missing out due to the way ASCs function:
- [x_tudi_rad#350d1015] 1. 90% of the spend will go to the same 10% of ads

## 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=66, method=llm_persona_from_recent_content
- audience.roles: source_type=ai_inferred, confidence=0.4, freshness_days=66, method=llm_persona_from_recent_content
- audience.seniority: source_type=ai_inferred, confidence=0.4, freshness_days=66, 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=110, 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=110, 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=110, method=platform_profile

## Freshness
- profile_checked_days_ago: 110
- content_analysed_days_ago: 79
- audience_updated_days_ago: 66

## AI retrieval
- indexing_requests: 14
- 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_tudi_rad
- Request removal: https://koinonlink.com/claim?k=x_tudi_rad
- Terms: https://koinonlink.com/for-ai