# Myles Marino (@mylesmarino) on x

- id: koinon:creator:x_mylesmarino
- url: https://koinonlink.com/kol/x/mylesmarino
- schema_version: 1.4

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

## Reach
- followers: 1304
- following: 296
- posts_total: 3751
- posts_observed: 11
- posts_per_day: 1.673
- account_age_days: 2242
- verified: true
- size_tier: nano

## Engagement
- status: peak_post_only
- peak_post_engagement_rate: 0.07669
- best_post_interactions: 100
- 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: investing
- category_confidence: 0.85
- category_source: derived_from_recent_content
- topics: AI implementation in legacy enterprise software, Long-term strategic thinking in AI adoption, Evaluating AI impact through measurable outcomes, Investment decision-making under uncertainty, Replicating high-performing AI models
- bio: Partner at Third South Capital, where we buy & steward legacy enterprise software businesses and teach companies how to implement AI

https://t.co/SjJjs74GPD

## Audience (inferred)
- status: present
- description: Investment professionals and enterprise software operators focused on AI integration, primarily mid-level executives and tech investors in legacy software businesses
- roles: ads
- seniority: decision_maker
- pain_points: Struggling to justify AI investments without clear performance metrics or eval-driven frameworks, Finding it hard to align AI adoption with long-term business survival rather than short-term KPIs, Difficulty in replicating successful AI strategies seen in top-performing companies like Thrive
- posts_analysed: 9
- 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: 69
- authenticity_basis: engagement_observed
- credibility_score: 69
- 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_mylesmarino#c6973359] https://t.co/LEgepW0aIa (https://twitter.com/mylesmarino/status/2021942844324270099)
- [x_mylesmarino#6e4360cc] In a world where unhobbling / harness gains are limited, we have to look back at the pace of model improvement to solve non-evalable-problems. https://t.co/7AeAxJL6Lf
- [x_mylesmarino#b20d36c8] The problem with the Kelly Criterion is that it operates in a vacuum. In most games, odds will change when you change and very your bet. Other market participants notice as well. Repeated games are not the same as static ones.
- [x_mylesmarino#3be4db3d] https://t.co/xWTW6FJJKH
- [x_mylesmarino#086c9f98] 24 mins in, Jeremy talks about how he uses AI for his activist campaigns. I enjoyed that part a lot:
- [x_mylesmarino#91635d29] eval-driven-development will be a thing in about 2.5 months
- [x_mylesmarino#0b0472f4] Those that live to see the magnitude need to set themselves up from the beginning. Survival becomes the key criterion, not short-term performance: https://t.co/gYXpBMXQho
- [x_mylesmarino#94a2f307] Thrive stays special. They consistently come up in these types of questions. It's a tough model to replicate,

## 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=80, 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=80, 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=80, 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: 80
- audience_updated_days_ago: 20

## AI retrieval
- indexing_requests: 13
- 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_mylesmarino
- Request removal: https://koinonlink.com/claim?k=x_mylesmarino
- Terms: https://koinonlink.com/for-ai