# Larry Kim (@larrykim) on x

- id: koinon:creator:x_larrykim
- url: https://koinonlink.com/kol/x/larrykim
- schema_version: 1.4

## Identity
- platform: x
- handle: larrykim
- platform_url: https://twitter.com/larrykim
- website: http://bit.ly/LarryKim-LinkedIn
- country: United States
- entity_type: creator
- person_id: Cross-platform identity not resolved for this creator.

## Reach
- followers: 681925
- following: 528783
- posts_total: 87546
- posts_observed: 20
- posts_per_day: 13.403
- account_age_days: 6532
- verified: true
- size_tier: kol

## Engagement
- status: peak_post_only
- peak_post_engagement_rate: 0
- best_post_interactions: 2
- 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: martech
- category_confidence: 0.9
- category_source: derived_from_recent_content
- topics: AI营销工具对比与选型, 邮件营销列表优化与ROI, 营销 hype  debunking, 多渠道沟通平台整合, 产品市场匹配与预算效率
- bio: CEO @CustomersAI, Founder @WordStream; Acquired by USA Today for $150M - Columnist @Inc, @Medium. Popularized Unicorns in Marketing. Engineering @uWaterloo.

## Audience (inferred)
- status: present
- description: Digital marketing practitioners, primarily PPC/email marketing specialists and mid-level decision-makers responsible for AI tool selection at brands or agencies
- roles: ads
- seniority: practitioner
- pain_points: Marketing budgets wasted on ineffective channels or products without PMF, Inefficient management across multiple email/SMS platforms, Difficulty in choosing the right AI tools, easily falling into traps with wrong models, Poor email list quality, chasing high send volumes at the expense of conversion rates
- posts_analysed: 5
- 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: 43
- authenticity_basis: engagement_observed
- credibility_score: 78
- flagged_for_review: false
- koinon_bd_grade: C — 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_larrykim#8f129b56] Imagine burning $80 billion only to find out that you don't have product market fit. 🙄 https://t.co/UxuekwxSeb (https://twitter.com/larrykim/status/1369927530862407685)
- [x_larrykim#021d2f6a] Metaverse + AR/VR is dumb. That is the tweet.
- [x_larrykim#078874d9] Hot take: Using one platform for email and another for SMS is shooting yourself in the foot. It's like trying to drive two cars at the same time. One has the steering wheel. The other has the dashboard. You lose cross-channel triggers, shared customer context, and a unified autom
- [x_larrykim#cfb53445] ChatGPT vs. Claude vs. Grok (only ChatGPT got this right - Grok is the dumbest) https://t.co/g8nteHUiVX
- [x_larrykim#65227331] We cut one brand’s send list by 67%. 🧵 1/3 Revenue went up. That sounds backwards, but it makes perfect sense once you stop treating email volume like the goal. More emails sent ≠ mo

## 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=78, method=llm_persona_from_recent_content
- audience.roles: source_type=ai_inferred, confidence=0.4, freshness_days=78, method=llm_persona_from_recent_content
- audience.seniority: source_type=ai_inferred, confidence=0.4, freshness_days=78, method=llm_persona_from_recent_content
- commercial.audience_buyer_fit: source_type=ai_inferred, confidence=0.6, freshness_days=78, 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=78, 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=78, 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: 78
- audience_updated_days_ago: 78

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