# Jonah 📦 (@jonahhodges_) on x

- id: koinon:creator:x_jonahhodges_
- url: https://koinonlink.com/kol/x/jonahhodges_
- schema_version: 1.4

## Identity
- platform: x
- handle: jonahhodges_
- platform_url: https://twitter.com/jonahhodges_
- website: http://www.wholesalenetwork.io
- entity_type: creator
- person_id: Cross-platform identity not resolved for this creator.

## Reach
- followers: 22690
- following: 436
- posts_total: 15151
- posts_observed: 4
- posts_per_day: 7.253
- account_age_days: 2089
- verified: true
- size_tier: koc

## Engagement
- status: peak_post_only
- peak_post_engagement_rate: 0.00026
- best_post_interactions: 6
- 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: supply
- category_confidence: 0.8
- category_source: derived_from_recent_content
- topics: Amazon brand building, Avoiding gray market pitfalls, Amazon account health management, Sourcing strategy for Amazon sellers, Scaling e-commerce businesses on Amazon, Common mistakes in Amazon FBA
- bio: Former pro athlete ➡️ full time ecom. Building brands on Amazon & helping others do the same. DM me “BRAND” to grow your business

## Audience (inferred)
- status: present
- description: Aspiring and early-stage Amazon e-commerce sellers, mainly focusing on brand building and avoiding common pitfalls like gray market traps and account health issues
- roles: ecom_ops
- seniority: practitioner
- pain_points: Struggling to avoid the gray market by accidentally sourcing from unauthorized distributors, Facing sudden Amazon account suspensions due to poor account health management, Overwhelmed by the complexity of balancing margins, sourcing, and scaling without a clear strategy
- posts_analysed: 2
- confidence: 0.4

## Commercial (inferred)
- audience_buyer_fit: 1
- promotion_intent: 1
- open_to_collaboration: false
- contact: Koinon does not publish creator contact details.

## Quality signals
- authenticity_score: 51
- authenticity_basis: engagement_observed
- credibility_score: 86
- 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_jonahhodges_#53e6a602] Most people jump from arbitrage to wholesale and walk straight into the gray market trap. Here's the cleaner path: Skip wholesale arbitrage entirely and go brand direct. When you buy straight from the brand, the documentation problem disappears. The invoice traces back to the man (https://twitter.com/jonahhodges_/status/2064916806666514808)
- [x_jonahhodges_#2f48b24b] People obsess over margins, sourcing, and scaling. Almost nobody obsesses over the one thing that can erase all of it overnight: ACCOUNT HEALTH! You can build a six-figure operation and lose it in 10 days over a single complaint you can't document. I've seen it. I've lived a vers

## 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=20, method=llm_persona_from_recent_content
- audience.roles: source_type=ai_inferred, confidence=0.4, freshness_days=20, method=llm_persona_from_recent_content
- audience.seniority: source_type=ai_inferred, confidence=0.4, freshness_days=20, 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=120, 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=120, 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=120, method=platform_profile

## Freshness
- profile_checked_days_ago: 120
- content_analysed_days_ago: 79
- audience_updated_days_ago: 20

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