# Nick Vasilescu (@nickvasiles) on tiktok

- id: koinon:creator:tiktok_nickvasiles
- url: https://koinonlink.com/kol/tiktok/nickvasiles
- schema_version: 1.4

## Identity
- platform: tiktok
- handle: nickvasiles
- platform_url: https://www.tiktok.com/@nickvasiles
- website: https://www.orgo.ai
- country: United States
- entity_type: creator
- person_id: Cross-platform identity not resolved for this creator.

## Reach
- followers: 4803
- following: 56
- posts_observed: 5
- verified: false
- size_tier: nano

## Engagement
- status: not_collected
- status_note: Engagement has not been collected for this creator yet. This is a gap in our collection, NOT a statement that the creator has no engagement. Follower count is known, so it is measurable.
- 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: OpenClaw/Claude computer use, Autonomous always-on AI agents, Building agent fleets and sub-agents, Monetizing AI employees, Recreating Samantha-style agents from Her
- bio: give your agent a computer with orgo

## Audience (inferred)
- status: present
- description: AI builders and early adopters focused on autonomous agents, computer-use tools like Claude/OpenClaw, and monetizing agent fleets
- roles: automation
- seniority: practitioner
- pain_points: Finding real, non-boring use cases for tools like OpenClaw, Scaling from single agents to reliable 24/7 fleets, Integrating agents with hardware, browsers, and workflows like UpWork, Monetizing agent services without clear high-ticket paths
- posts_analysed: 26
- confidence: 0.6

## 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: 40
- authenticity_basis: profile_shape_only
- credibility_score: 40
- 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
- [tiktok_nickvasiles#b526f73c] My Hermes agent builds AI employees for me.  Just closed another $5K‑a‑month customer today for an AI employee for a design agency.  I'm not even building any of it. I have Dewey, my Hermes agent, building out the entire Hermes agent for this design agency and onboarding the agen (https://www.tiktok.com/@nickvasiles)
- [tiktok_nickvasiles#6caa7d40] original sound - nickvasiles
- [tiktok_nickvasiles#ab56a307] It is a becoming a big trend on TikTok now! Click here: hermes
- [tiktok_nickvasiles#cb86ae13] Check out Nick Vasilescu’s video! #TikTok >
- [tiktok_nickvasiles#18494828] OpenAI just recreated Samantha from the movie "Her"  This means we can finally have agents that do computer work as we talk to them in real time.  Imagine the world when your age

## 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=70, method=llm_persona_from_recent_content
- audience.roles: source_type=ai_inferred, confidence=0.6, freshness_days=70, method=llm_persona_from_recent_content
- audience.seniority: source_type=ai_inferred, confidence=0.6, freshness_days=70, method=llm_persona_from_recent_content
- commercial.audience_buyer_fit: source_type=ai_inferred, confidence=0.6, freshness_days=70, 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=70, method=llm_scorer
- quality.anomaly_flags: source_type=heuristic, confidence=0.5, freshness_days=85, 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=0.25, freshness_days=70, 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=85, 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=85, method=platform_profile

## Freshness
- profile_checked_days_ago: 85
- content_analysed_days_ago: 70
- audience_updated_days_ago: 70

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