# jocelynnn_vb (@jocelynnn_vb) on tiktok

- id: koinon:creator:tiktok_jocelynnn_vb
- url: https://koinonlink.com/kol/tiktok/jocelynnn_vb
- schema_version: 1.4

## Identity
- platform: tiktok
- handle: jocelynnn_vb
- platform_url: https://www.tiktok.com/@jocelynnn_vb
- country: Mexico
- entity_type: creator
- person_id: Cross-platform identity not resolved for this creator.

## Reach
- followers: 2487
- following: 26
- posts_total: 14
- posts_observed: 3
- 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: devtools
- category_confidence: 0.85
- category_source: derived_from_recent_content
- topics: Hackathons and tech events, GitHub Campus Expert and student programs, Women in STEM, University life and personal growth, Everyday tech carry and coding
- bio: 12× Hackathon Wins | Cloud Intern | Robotics | GitHub CE | Streamer | Neuroengineering

## Audience (inferred)
- status: present
- description: University students in STEM, especially those participating in hackathons, GitHub programs, and women in tech communities
- roles: none
- seniority: learner
- pain_points: Finding accessible hackathon opportunities and event details as a student, Balancing multiple jobs or responsibilities with studies and tech projects, Building connections or community in STEM when feeling isolated
- posts_analysed: 32
- confidence: 0.75

## 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: 36
- authenticity_basis: profile_shape_only
- credibility_score: 36
- 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_jocelynnn_vb#be4c81e4] Un everyday carry de las cositas que traigo en mi mochila pesada, aunque le faltan algunos libros y los robots que traigo por fuera 🫡 . . #everydaycarry #cs #Tech #ingenieria #tecnologia (https://www.tiktok.com/@jocelynnn_vb)
- [tiktok_jocelynnn_vb#e93049b6] kavkaz prod. starly
- [tiktok_jocelynnn_vb#e994fdfc] It is a becoming a big trend on TikTok now! Click here: everydaycarry
- [tiktok_jocelynnn_vb#d03c6052] Check out jocelynnn_vb’s video! #TikTok >
- [tiktok_jocelynnn_vb#dfc5138e] En el poderoso GitHub, les dejo un follow si me dicen en los comments 🫡 #Tech #github #universidad #coding #gym
- [tiktok_jocelynnn_vb#446e03d4] original sound - dst.aa
- [tiktok_jocelynnn_vb#28fbc047] Kavkaz
- [tiktok_jocelynnn_vb#2f25ad99] Thanks to all who participated in the #Tech Post Contest! Check out the winner showcase here: https://vt.tiktok.com/ZMAbjKkKA/

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

- audience.description: source_type=ai_inferred, confidence=0.75, freshness_days=57, method=llm_persona_from_recent_content
- audience.roles: source_type=ai_inferred, confidence=0.75, freshness_days=57, method=llm_persona_from_recent_content
- audience.seniority: source_type=ai_inferred, confidence=0.75, freshness_days=57, method=llm_persona_from_recent_content
- commercial.audience_buyer_fit: source_type=ai_inferred, confidence=0.6, freshness_days=57, 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=57, method=llm_scorer
- quality.anomaly_flags: source_type=heuristic, confidence=0.5, freshness_days=92, 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=57, 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=92, 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=92, method=platform_profile

## Freshness
- profile_checked_days_ago: 92
- content_analysed_days_ago: 57
- audience_updated_days_ago: 57

## AI retrieval
- indexing_requests: 8
- 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_jocelynnn_vb
- Request removal: https://koinonlink.com/claim?k=tiktok_jocelynnn_vb
- Terms: https://koinonlink.com/for-ai