# Trent Kocurek (@trentkocurek) on x

- id: koinon:creator:x_trentkocurek
- url: https://koinonlink.com/kol/x/trentkocurek
- schema_version: 1.4

## Identity
- platform: x
- handle: trentkocurek
- platform_url: https://twitter.com/trentkocurek
- website: https://equipnx.com
- country: United Kingdom
- entity_type: creator
- person_id: Cross-platform identity not resolved for this creator.

## Reach
- followers: 964
- following: 1765
- posts_total: 8291
- posts_observed: 12
- posts_per_day: 1.256
- account_age_days: 6601
- verified: false
- size_tier: nano

## Engagement
- status: peak_post_only
- peak_post_engagement_rate: 0.0083
- best_post_interactions: 8
- 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: Local AI model deployment, Claude AI performance and limitations, Agent architecture and automation with LLMs, Community troubleshooting for AI tools, Comparative model evaluation (Opus, Kimi, Codex)
- bio: husband, daddy, builder, pilot, founder @equip_nx.

## Audience (inferred)
- status: present
- description: AI engineers and advanced users building with large language models, primarily focused on local deployment, agent development, and model performance tuning
- roles: dev
- seniority: practitioner
- pain_points: Struggling with slow inference speeds in Claude models, especially Opus 4.6 and Claude Code, Frustrated by missing features like copy/paste from Document artifacts in Claude AI, Having technical issues with plugin compatibility and system crashes in local AI tools like OpenClaw, Difficulty finding community discussion around specific models like Kimi K3 and Codex Cyber
- posts_analysed: 6
- 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: 41
- authenticity_basis: engagement_observed
- credibility_score: 41
- 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_trentkocurek#ab1e6bf3] @claudeai feature request, allow me to copy/paste from a Document artifact. I am wanting to notate errors in the document generated but I have to open Word and do editing then come back to reconcile. Even having the ability to copy/paste a line from the artifact would help. (https://twitter.com/trentkocurek/status/2009714327230820701)
- [x_trentkocurek#e4fe4631] Has anyone run @Kimi_Moonshot K3 locally? Looking at getting a Mac Studio and running with it. If you have, what’s your hardware stack?
- [x_trentkocurek#f322e2c7] Who’s using the codex cyber model? Haven’t seen much talk in my thread. Only Opus 4.7 disappointment.
- [x_trentkocurek#1b221d93] My @openclaw crashed, trying to get it back up by installing latest and getting this strange plugin issue. Anyone else? cc/@steipete https://t.co/aD22cSFnwa
- [x_trentkocurek#4a2c1890] So did @AnthropicAI just slow down Opus 4.6 to make the `fast` version actually seem faster? Claude Code is running incredibly slow today for some very simple prompts.
- [x_trentkocurek#88074af2] I’ve started creating sub-agents in CC not based o

## 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: 11
- 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_trentkocurek
- Request removal: https://koinonlink.com/claim?k=x_trentkocurek
- Terms: https://koinonlink.com/for-ai