# Kevin Gee (@kevg1412) on x

- id: koinon:creator:x_kevg1412
- url: https://koinonlink.com/kol/x/kevg1412
- schema_version: 1.4

## Identity
- platform: x
- handle: kevg1412
- platform_url: https://twitter.com/kevg1412
- website: http://aletteraday.substack.com
- entity_type: creator
- person_id: Cross-platform identity not resolved for this creator.

## Reach
- followers: 27457
- following: 2917
- posts_total: 11373
- posts_observed: 33
- posts_per_day: 2.349
- account_age_days: 4842
- verified: true
- size_tier: koc

## Engagement
- status: peak_post_only
- peak_post_engagement_rate: 0.00117
- best_post_interactions: 32
- 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: 0.95
- category_source: derived_from_recent_content
- topics: Venture capital and Sequoia-style strategies, Insights from famous investors like Don Valentine and Ken Gr, Book recommendations and reading lists, Market observations and platform commentary
- bio: “Yukon Ho!” | "The enemy's gate is down." | @speedwell_llc

## Audience (inferred)
- status: present
- description: Venture capitalists, hedge fund professionals, and serious individual investors focused on historical strategies and insights from top firms
- roles: none
- seniority: decision_maker
- pain_points: Finding credible historical context for current market decisions, Accessing concise wisdom from legendary investors without sifting noise, Understanding cyclical vs. technological investment dynamics, Staying updated on influential voices in VC and hedge funds
- posts_analysed: 20
- confidence: 0.6

## Commercial (inferred)
- audience_buyer_fit: 0.9
- promotion_intent: 0.7
- open_to_collaboration: false
- contact: Koinon does not publish creator contact details.

## Quality signals
- authenticity_score: 90
- authenticity_basis: engagement_observed
- credibility_score: 90
- 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_kevg1412#e2fc5d55] New Mauboussin paper https://t.co/WBOGZo4VTn https://t.co/rlj29gkKCF (https://twitter.com/kevg1412/status/2070620196809875778)
- [x_kevg1412#c84f69a9] Nikita hasn't been gone even a day and this platform is already falling apart 😭 https://t.co/E977QSYUOj
- [x_kevg1412#a7bf71f9] Don Valentine on Sequoia's edge https://t.co/ue12b08Db3
- [x_kevg1412#38255859] Don Valentine on Sequoia's investment strategy https://t.co/XH8o8t4C46
- [x_kevg1412#70280c6b] Kirsten on point as always 🎯 And in today's world of AI, her "New Paradigm of Value" (from the mid 2000s!) is worth revisiting and even more relevant today than ever. https://t.co/8OIDEfBzS0
- [x_kevg1412#1960ef5d] Something unnerving about the X sidebar alignment 😅 https://t.co/FcENrRVQpo
- [x_kevg1412#3f2773cf] Frank Caufield (KPCB) had a theory that everything in life except technology is cyclical or constant. https://t.co/KUhYtOvhI6
- [x_kevg1412#316e2976] Do I know anyone who has allocation into this round 😬

## 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=76, method=llm_persona_from_recent_content
- audience.roles: source_type=ai_inferred, confidence=0.6, freshness_days=76, method=llm_persona_from_recent_content
- audience.seniority: source_type=ai_inferred, confidence=0.6, freshness_days=76, method=llm_persona_from_recent_content
- commercial.audience_buyer_fit: source_type=ai_inferred, confidence=0.6, freshness_days=76, 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=76, 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=76, 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: 76
- audience_updated_days_ago: 76

## AI retrieval
- indexing_requests: 10
- 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_kevg1412
- Request removal: https://koinonlink.com/claim?k=x_kevg1412
- Terms: https://koinonlink.com/for-ai