# Outscaler (@Outscaler) on x

- id: koinon:creator:x_outscaler
- url: https://koinonlink.com/kol/x/Outscaler
- schema_version: 1.4

## Identity
- platform: x
- handle: Outscaler
- platform_url: https://twitter.com/Outscaler
- website: http://Brandsearch.co
- entity_type: creator
- person_id: Cross-platform identity not resolved for this creator.

## Reach
- followers: 2541
- following: 232
- posts_total: 1748
- posts_observed: 4
- posts_per_day: 1.906
- account_age_days: 917
- verified: false
- size_tier: nano

## Engagement
- status: peak_post_only
- peak_post_engagement_rate: 0.01023
- best_post_interactions: 26
- 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 Ads creative testing and CBO issues, Shopify + ad tool integrations, SaaS marketing infrastructure, Ecom ad automation
- bio: Scaling the ecom tool you need atm @brandsearchco

## Audience (inferred)
- status: present
- description: Ecom advertisers and Shopify operators running performance ads, especially Meta ads with creative testing and tool integrations
- roles: ads
- seniority: practitioner
- pain_points: CBO restrictions slowing down quick creative testing, Manual workarounds needed for ad-to-landing page consistency, Finding scalable marketing backends and tool stacks for SaaS/ecom
- posts_analysed: 3
- 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: 59
- authenticity_basis: engagement_observed
- credibility_score: 59
- 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_outscaler#4e469195] CBOs are legit annoying when you have to do quick creative testing (https://twitter.com/Outscaler/status/1921513016601853957)
- [x_outscaler#d9a7f794] I'll pay consulting to anyone that can teach me Higgsfield's marketing backend on how to be everywhere and how I could apply it to my Saas Hmu with your stripe link, I need a crack at this 🙏 Appreciate your time, cheers
- [x_outscaler#e367aca7] I connected Fable 5 to shopify to make static ads + congruent landing pages It's actually so OP. I don't open shopify anymore. Here's how I do it: - connect claude to Shopify + AI APIs + Brandsearch API - search your subniche and select "Ai keyword" - filter brands by: 100 active

## 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=67, method=llm_persona_from_recent_content
- audience.roles: source_type=ai_inferred, confidence=0.4, freshness_days=67, method=llm_persona_from_recent_content
- audience.seniority: source_type=ai_inferred, confidence=0.4, freshness_days=67, 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: 67

## AI retrieval
- indexing_requests: 9
- 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_outscaler
- Request removal: https://koinonlink.com/claim?k=x_outscaler
- Terms: https://koinonlink.com/for-ai