# Harys Vizcaino (@harys.vizcaino) on tiktok

- id: koinon:creator:tiktok_harys.vizcaino
- url: https://koinonlink.com/kol/tiktok/harys.vizcaino
- schema_version: 1.4

## Identity
- platform: tiktok
- handle: harys.vizcaino
- platform_url: https://www.tiktok.com/@harys.vizcaino
- website: https://www.instagram.com/harysvizcaino?igsh=MXBjaDN2Znd4MjZxbg%3D%3D&utm_source=qr
- entity_type: creator
- person_id: Cross-platform identity not resolved for this creator.

## Reach
- followers: 6636
- following: 1318
- posts_observed: 1
- 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: Claude Code y skills para desarrollo con IA, Buenas prácticas de backend y escalabilidad, AI agents, workflows y RAG, Homelab, Docker y Kubernetes, Entrevistas y carrera en ingeniería de IA, Seguridad y autenticación en apps generadas con IA
- bio: 🤖 Construyo software con IA
⚙️ Automatización de empresas
👥 +18K aprendiendo conmigo
📧 [contact removed]
🚀 Transformo ideas en productos IA

## Audience (inferred)
- status: present
- description: Desarrolladores backend y AI engineers hispanohablantes que usan Claude y otras herramientas de IA para construir aplicaciones
- roles: dev
- seniority: practitioner
- pain_points: Construir apps que fallen en producción por falta de logs, escalabilidad o autenticación robusta, Desperdiciar tokens y contexto al usar Claude sin prompts ni skills bien diseñados, Prepararse para entrevistas técnicas que ahora evalúan uso de IA y diseño de sistemas concurrentes, Gestionar homelabs, contenedores y entornos sin romper todo al pasar a producción
- posts_analysed: 93
- confidence: 0.9

## 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: 38
- authenticity_basis: profile_shape_only
- credibility_score: 38
- 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_harys.vizcaino#ab8006b2] La mayoría de los desarrolladores responde: ❌ Abrir otra terminal ❌ Cambiar constantemente de rama ❌ Usar git stash una y otra vez Pero Git tiene una solución mucho más limpia: Git Worktree. Un Git Worktree te permite tener varias ramas del mismo repositorio en carpetas diferente (https://www.tiktok.com/@harys.vizcaino)

## Provenance
Every inferred field below carries how it was produced. Facts stay facts; inferences stay inferences.

- audience.description: source_type=ai_inferred, confidence=0.9, freshness_days=79, method=llm_persona_from_recent_content
- audience.roles: source_type=ai_inferred, confidence=0.9, freshness_days=79, method=llm_persona_from_recent_content
- audience.seniority: source_type=ai_inferred, confidence=0.9, freshness_days=79, method=llm_persona_from_recent_content
- commercial.audience_buyer_fit: source_type=ai_inferred, confidence=0.6, freshness_days=79, 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=79, method=llm_scorer
- quality.anomaly_flags: source_type=heuristic, confidence=0.5, freshness_days=91, 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=79, 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=91, 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=91, method=platform_profile

## Freshness
- profile_checked_days_ago: 91
- content_analysed_days_ago: 79
- audience_updated_days_ago: 79

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