# Jonathan en Chine 🇨🇳 (@jonathan.en.chine) on tiktok

- id: koinon:creator:tiktok_jonathan.en.chine
- url: https://koinonlink.com/kol/tiktok/jonathan.en.chine
- schema_version: 1.3

## Identity
- platform: tiktok
- handle: jonathan.en.chine
- platform_url: https://www.tiktok.com/@jonathan.en.chine
- website: https://linktr.ee/joecomchina
- country: China
- entity_type: creator
- person_id: Cross-platform identity not resolved for this creator.

## Reach
- followers: 67206
- following: 5
- posts_observed: 2
- verified: false
- size_tier: koc

## Engagement
- status: not_collected
- status_note: Engagement has not been collected for this creator yet. This is a gap in our collection, NOT a statement that the creator has no engagement. Follower count is known, so it is measurable.
- 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: supply
- category_confidence: 0.9
- category_source: derived_from_recent_content
- topics: 中国工厂 sourcing, 工厂直采价, AI 供应商搜索工具, 验证供应商数据库, Alibaba/Accio 工具使用
- bio: 🏭Contact B2B: [contact removed]
🌍 Sourcing mondial | +800 fournisseurs
🇨🇳Fournisseurs directs | Prix usine
📋 Accède à la liste fournisseur 👇🏾

## Audience (inferred)
- status: present
- description: small and medium-sized e-commerce sellers and independent brand owners, primarily responsible for execution and decision-making in China sourcing
- roles: ecom_ops
- seniority: decision_maker
- pain_points: struggling to find reliable factories and vetted suppliers, unable to get genuine factory prices due to layered markups by intermediaries, spending excessive time and effort manually searching for suppliers, resulting in low efficiency, needing to quickly verify compliance and product information
- posts_analysed: 23
- confidence: 0.6

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

## Quality signals
- authenticity_score: 55
- authenticity_basis: profile_shape_only
- credibility_score: 55
- 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
- [tiktok_jonathan.en.chine#61add507] J'ai décrit mon site à une IA. Elle l'a construit. Pas de code, pas de template, pas de designer. Je tape ce que je veux, Emergent le génère, je modifie en langage naturel jusqu'à ce que ça me plaise. Lien en bio 🔗 (https://www.tiktok.com/@jonathan.en.chine)
- [tiktok_jonathan.en.chine#d25c7b64] original sound - jonathan.en.chine
- [tiktok_jonathan.en.chine#b27d3519] Check out Jonathan en Chine 🇨🇳’s video! #TikTok >
- [tiktok_jonathan.en.chine#fbb32fea] 🟢 Récupère ta liste de +800 fournisseurs aux prix usine en bio
- [tiktok_jonathan.en.chine#6b7e645e] Search:
- [tiktok_jonathan.en.chine#932a7b0a] tondeuses ia
- [tiktok_jonathan.en.chine#5b3c4093] C’est réel ce que je dit
- [tiktok_jonathan.en.chine#9fbcfe42] Voici le Sourcing Toolkit d’Accio Work @Accio_official, le nouvel agent IA d’Alibaba.com. Je lui dis simplement ce que je veux sourcer, et il trouve des usines, vérifie la conformité, calcule le shipping et contacte même 20 fournisseurs en même temps. ⚡ Envie de tester ? 🔗 Lien 

## Provenance
Every inferred field below carries how it was produced. Facts stay facts; inferences stay inferences.

- audience.description: source_type=ai_inferred, confidence=0.6, freshness_days=33, method=llm_persona_from_recent_content
- audience.roles: source_type=ai_inferred, confidence=0.6, freshness_days=33, method=llm_persona_from_recent_content
- audience.seniority: source_type=ai_inferred, confidence=0.6, freshness_days=33, method=llm_persona_from_recent_content
- commercial.audience_buyer_fit: source_type=ai_inferred, confidence=0.6, freshness_days=0, 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=0, method=llm_scorer
- quality.anomaly_flags: source_type=heuristic, confidence=0.5, freshness_days=35, 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=0.25, freshness_days=0, 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=35, 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=35, method=platform_profile

## Freshness
- profile_checked_days_ago: 35
- content_analysed_days_ago: 0
- audience_updated_days_ago: 33

## AI retrieval
- indexing_requests: 1
- 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=tiktok_jonathan.en.chine
- Request removal: https://koinonlink.com/claim?k=tiktok_jonathan.en.chine
- Terms: https://koinonlink.com/for-ai