# Jon Cooks (@JonHook) on x

- id: koinon:creator:x_jonhook
- url: https://koinonlink.com/kol/x/JonHook
- schema_version: 1.4

## Identity
- platform: x
- handle: JonHook
- platform_url: https://twitter.com/JonHook
- website: https://kinsu.finance/
- entity_type: creator
- person_id: Cross-platform identity not resolved for this creator.

## Reach
- followers: 35742
- following: 2579
- posts_total: 16960
- posts_observed: 12
- posts_per_day: 2.654
- account_age_days: 6390
- verified: true
- size_tier: koc

## Engagement
- status: peak_post_only
- peak_post_engagement_rate: 0.00134
- best_post_interactions: 48
- 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: finance
- subcategory: crypto
- category_confidence: 0.85
- category_source: derived_from_recent_content
- topics: Web2 to Web3 user onboarding, Mobile game user acquisition, Incentive models in gaming, Crypto-native app growth strategies, Cross-platform user sources (Twitch, YouTube, WeChat), Google Ad Network as a UA channel
- bio: Growing @kinsuapp | musings on crypto and consumer trends

## Audience (inferred)
- status: present
- description: Web2 users and marketers targeting casual mobile gamers, especially those interested in crypto incentives and onboarding strategies
- roles: ads
- seniority: practitioner
- pain_points: Struggling to acquire new users for mobile apps in a competitive market, Finding effective incentive models that convert Web2 users into engaged players, Lacking clear understanding of where new players actually come from in mobile gaming, Difficulty in bridging Web2 user acquisition tactics with Web3 product design
- posts_analysed: 7
- confidence: 0.4

## Commercial (inferred)
- audience_buyer_fit: 0.8
- promotion_intent: 0.7
- open_to_collaboration: false
- contact: Koinon does not publish creator contact details.

## Quality signals
- authenticity_score: 92
- authenticity_basis: engagement_observed
- credibility_score: 92
- 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_jonhook#7baa3646] Yes Jonah. (https://twitter.com/JonHook)
- [x_jonhook#88f37d3e] We talk about mass onboarding, the web3 game to save us all, like web3 invented quests + incentive models 😂
- [x_jonhook#b27bdf43] Where do you think new players come from? Web2
- [x_jonhook#96861feb] App stores, Twitch, YouTube, WeChat
- [x_jonhook#883e493b] Incentive models been around for years in web2 - Tapjoy, Skillz, literally any casino game.
- [x_jonhook#286dc6ec] Our BTC Mobile Games - no1 UA source? Google Ad Network. All web2 players.
- [x_jonhook#742bcf46] Web2 players enjoy to ou

## 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=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=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=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: 79
- audience_updated_days_ago: 20

## AI retrieval
- indexing_requests: 7
- 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_jonhook
- Request removal: https://koinonlink.com/claim?k=x_jonhook
- Terms: https://koinonlink.com/for-ai