# Mickey from Arcadia (@mickeyhardy) on x

- id: koinon:creator:x_mickeyhardy
- url: https://koinonlink.com/kol/x/mickeyhardy
- schema_version: 1.4

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

## Reach
- followers: 194437
- following: 5911
- posts_total: 30614
- posts_observed: 5
- posts_per_day: 17.046
- account_age_days: 1796
- verified: true
- size_tier: kol

## Engagement
- status: peak_post_only
- peak_post_engagement_rate: 0.00397
- best_post_interactions: 772
- 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: ai_tools
- category_confidence: 0.95
- category_source: derived_from_recent_content
- topics: AI app building and side projects, Differentiation in AI tools, Risks of feeding internal data to models, AI investment landscape
- bio: | ceo @arcadiagtm | co-founder @introductioncom | general partner | Investor in Discord, Epic, Databricks, Anduril | AI maxi

## Audience (inferred)
- status: present
- description: AI startup founders, investors, and tech executives focused on building AI products and managing associated business risks
- roles: general_ai
- seniority: decision_maker
- pain_points: Differentiating AI apps in an oversaturated market, Risk of proprietary business processes and documents being absorbed by AI labs, Balancing rapid AI experimentation with data security
- posts_analysed: 2
- 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: 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_mickeyhardy#002998b5] A creator app i'm building as a side quest hit 450,000+ users. In a world of Claude Fable, and Codex, ai apps are endless. Which makes differentiating more easier than ever. A touch of originality, primal human haptics, and taste are winning more than ever. https://t.co/MHQOC6iZV (https://twitter.com/mickeyhardy)
- [x_mickeyhardy#30968f83] The more sinsiter aspect is that every confidential document and internal process you feed these models teaches them exactly how your business wins. The labs collect the token fee and the compounding intelligence....... Then that stolen alpha gets repackaged, or distilled, and so

## 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=111, 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=111, method=llm_scorer
- quality.anomaly_flags: source_type=heuristic, confidence=0.5, freshness_days=110, 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=111, 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=110, 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=110, method=platform_profile

## Freshness
- profile_checked_days_ago: 110
- content_analysed_days_ago: 111
- audience_updated_days_ago: 67

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