# Jake Lee 💻 (@jake.lee992) on tiktok

- id: koinon:creator:tiktok_jake.lee992
- url: https://koinonlink.com/kol/tiktok/jake.lee992
- schema_version: 1.3

## Identity
- platform: tiktok
- handle: jake.lee992
- platform_url: https://www.tiktok.com/@jake.lee992
- website: https://www.youtube.com/@jakelee111
- country: Thailand
- entity_type: creator
- person_id: Cross-platform identity not resolved for this creator.

## Reach
- followers: 7954
- following: 41
- posts_observed: 4
- 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: 0.9
- category_source: derived_from_recent_content
- topics: AI engineer internship roadmaps and job search, Day in the life of AI/software developers, Coding study methods and beginner resources, Remote SWE jobs and work routines, Computer science student life as international student

## Audience (inferred)
- status: present
- description: Computer science students and aspiring AI/software developers, mainly international students and beginners seeking internships and entry-level remote jobs
- roles: none
- seniority: learner
- pain_points: Landing the first AI or SWE internship with no experience, Finding free, structured resources to learn coding and AI as a beginner, Job searching and standing out as an international student, Building consistent coding habits and productivity while studying
- posts_analysed: 100
- confidence: 0.9

## Commercial (inferred)
- audience_buyer_fit: 0.4
- promotion_intent: 0.2
- open_to_collaboration: false
- contact: Koinon does not publish creator contact details.

## Quality signals
- authenticity_score: 43
- authenticity_basis: profile_shape_only
- credibility_score: 43
- 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_jake.lee992#4514cb72] Agoda please hire me ... #computerscience #studytok #fyp #coding #internationalstudent (https://www.tiktok.com/@jake.lee992)
- [tiktok_jake.lee992#02819b72] original sound - f.sorensen
- [tiktok_jake.lee992#843d92e8] MY EYES
- [tiktok_jake.lee992#124221e8] It is a becoming a big trend on TikTok now! Click here: computerscience
- [tiktok_jake.lee992#aeff4d77] Check out Jake Lee 💻’s video! #TikTok >
- [tiktok_jake.lee992#8c83a66c] Day 40: Coding until I get an internship
- [tiktok_jake.lee992#2893c568] #computerscience #internationalstudent #fyp #studytok #coding
- [tiktok_jake.lee992#7fdff713] original sound - ex7stences

## 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=27, method=llm_persona_from_recent_content
- audience.roles: source_type=ai_inferred, confidence=0.9, freshness_days=27, method=llm_persona_from_recent_content
- audience.seniority: source_type=ai_inferred, confidence=0.9, freshness_days=27, method=llm_persona_from_recent_content
- commercial.audience_buyer_fit: source_type=ai_inferred, confidence=0.6, freshness_days=0, 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=0, method=llm_scorer
- quality.anomaly_flags: source_type=heuristic, confidence=0.5, freshness_days=4, 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=0, 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=4, 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=4, method=platform_profile

## Freshness
- profile_checked_days_ago: 4
- content_analysed_days_ago: 0
- audience_updated_days_ago: 27

## AI retrieval
- indexing_requests: 1
- 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_jake.lee992
- Request removal: https://koinonlink.com/claim?k=tiktok_jake.lee992
- Terms: https://koinonlink.com/for-ai