# Leo (@LeoCreaIA) on x

- id: koinon:creator:x_leocreaia
- url: https://koinonlink.com/kol/x/LeoCreaIA
- schema_version: 1.4

## Identity
- platform: x
- handle: LeoCreaIA
- platform_url: https://twitter.com/LeoCreaIA
- website: https://www.skool.com/imperium-ia-5347/about?ref=b5ada72acc174b038a45a147de244712
- entity_type: creator
- person_id: Cross-platform identity not resolved for this creator.

## Reach
- followers: 48201
- following: 318
- posts_total: 635
- posts_observed: 2
- posts_per_day: 2.624
- account_age_days: 242
- verified: true
- size_tier: koc

## Engagement
- status: peak_post_only
- peak_post_engagement_rate: 0.00328
- best_post_interactions: 158
- 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: Meta广告测试迭代, Claude生成广告创意, UGC创作者快速筛选, AI广告workflow搭建
- bio: 25 | $100K Rev. building systems and businesses with AI | @aiscwork member | @eComrads growth

## Audience (inferred)
- status: present
- description: Meta ad advertisers and e-commerce ad operators using AI tools for ad testing, creative generation, and UGC sourcing
- roles: ads
- seniority: practitioner
- pain_points: Ad testing requires weekly iterations but is hard to scale, Manually sourcing UGC creators is time-consuming and inefficient, AI model outputs vary significantly under the same brief, making selection difficult, Lack of a complete AI-powered ad pipeline tool
- 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: 80
- authenticity_basis: engagement_observed
- credibility_score: 80
- 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_leocreaia#54853deb] me after Lightreel found 40 perfect UGC creators in 30 seconds while some agency is still on tab 12 of their spreadsheet it literally watches millions of live Reels and TikToks, you just type who you need https://t.co/3R01RtD31O (https://twitter.com/LeoCreaIA)
- [x_leocreaia#ba1049ef] https://t.co/CXVihJyyWR
- [x_leocreaia#9e322f6c] This is the part nobody talks about. Winning on Meta is not one great ad, it is 50 average tests a week until something breaks out. If Claude can generate the variations, the bottleneck is gone. https://t.co/JVpP4fQ7F5
- [x_leocreaia#a552af68] Same brief. Three Claude models. Three completely different ads. Fable 5, Sonnet 5 and Opus 4.8 each ran the full eComrads pipeline through MCP: read the product, write the creative direction, render the finished ad. Nobody touched anything. Each model directed it its own way. Fa

## 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=76, method=llm_persona_from_recent_content
- audience.roles: source_type=ai_inferred, confidence=0.4, freshness_days=76, method=llm_persona_from_recent_content
- audience.seniority: source_type=ai_inferred, confidence=0.4, freshness_days=76, method=llm_persona_from_recent_content
- commercial.audience_buyer_fit: source_type=ai_inferred, confidence=0.6, freshness_days=108, 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=108, 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=108, 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: 108
- audience_updated_days_ago: 76

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