# Harley Finkelstein (@harleyf) on x

- id: koinon:creator:x_harleyf
- url: https://koinonlink.com/kol/x/harleyf
- schema_version: 1.4

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

## Reach
- followers: 132676
- following: 893
- posts_total: 12740
- posts_observed: 1
- posts_per_day: 1.901
- account_age_days: 6702
- verified: true
- size_tier: kol

## Engagement
- status: peak_post_only
- peak_post_engagement_rate: 0.00194
- best_post_interactions: 257
- 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: saas
- category_confidence: 0.85
- category_source: derived_from_recent_content
- topics: Shopify Catalog API use cases, Building non-store apps on Shopify, Entrepreneurial innovation in e-commerce tech, Developer inspiration and community building
- bio: Entrepreneur // @Shopify President // @BigShotPodcast Creator

## Audience (inferred)
- status: present
- description: Shopify 开发者和独立创业者，主要为构建应用而非传统电商店铺的开发者和早期创业者
- roles: dev
- seniority: practitioner
- pain_points: Struggling to find real-world use cases for Shopify APIs, Frustrated by lack of clear examples of non-store apps built on Shopify, Need validation and inspiration for building innovative app ideas, Uncertain how to position their app in the Shopify ecosystem
- posts_analysed: 7
- confidence: 0.4

## Commercial (inferred)
- audience_buyer_fit: 0.9
- promotion_intent: 0.8
- open_to_collaboration: false
- contact: Koinon does not publish creator contact details.

## Quality signals
- authenticity_score: 100
- authenticity_basis: engagement_observed
- credibility_score: 100
- 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_harleyf#fd8e6393] Look at what people are already building on @Shopify Catalog API: (https://twitter.com/harleyf/status/2072748693384741155)
- [x_harleyf#6c714aa5] → https://t.co/NyRsJoZMWl
- [x_harleyf#05c5307c] → https://t.co/iM9dKSFjH5
- [x_harleyf#5e4605b4] → https://t.co/txCVntYzKa
- [x_harleyf#7cc00739] None of them are stores. They're apps.
- [x_harleyf#4c3e1d3c] A whole new kind of entrepreneur is showing up.
- [x_harleyf#509260d9] Tell me what you're building!

## 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=112, 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=112, 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=112, method=platform_profile

## Freshness
- profile_checked_days_ago: 112
- 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_harleyf
- Request removal: https://koinonlink.com/claim?k=x_harleyf
- Terms: https://koinonlink.com/for-ai