# CodingKabs (@codingkabs) on tiktok

- id: koinon:creator:tiktok_codingkabs
- url: https://koinonlink.com/kol/tiktok/codingkabs
- schema_version: 1.4

## Identity
- platform: tiktok
- handle: codingkabs
- platform_url: https://www.tiktok.com/@codingkabs
- website: https://uksemicentre.org.uk/scholarships?utm_source=TikTok&utm_medium=social&utm_campaign=DSIT&utm_content=codingkabs
- country: United Kingdom
- entity_type: creator
- person_id: Cross-platform identity not resolved for this creator.

## Reach
- followers: 40109
- following: 516
- posts_observed: 1
- verified: false
- size_tier: koc

## 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: Python cheat sheets and coding tips, AI tools for coding and productivity, CS career advice and internships, VS Code extensions and dev setup, Building apps with AI agents
- bio: London 
Software Engineer
Collabs: [contact removed]

## Audience (inferred)
- status: present
- description: Computer science students and junior/aspiring software engineers who follow coding tips, AI dev tools, and internship/career advice
- roles: dev
- seniority: learner
- pain_points: Struggling to land software engineering internships or first jobs, Overwhelmed by choosing coding courses, universities, or learning paths, Spending too much time on repetitive coding, debugging, or app-building tasks, Difficulty turning AI-generated code into polished, production-ready apps
- posts_analysed: 40
- confidence: 0.75

## Commercial (inferred)
- audience_buyer_fit: 0.9
- promotion_intent: 0.7
- open_to_collaboration: true
- contact: Koinon does not publish creator contact details.

## Quality signals
- authenticity_score: 52
- authenticity_basis: profile_shape_only
- credibility_score: 52
- flagged_for_review: false
- koinon_bd_grade: B — 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_codingkabs#c79061a5] Full Code in Bio 😁 #programming #coding #computerscience #csmajor (https://www.tiktok.com/@codingkabs)
- [tiktok_codingkabs#3b4233a9] Sex drugs etc.
- [tiktok_codingkabs#0f2056af] It is a becoming a big trend on TikTok now! Click here: programming
- [tiktok_codingkabs#41ef0f1a] Check out CodingKabs’s video! #TikTok >
- [tiktok_codingkabs#81bfcee9] Python Programming cheat sheet to get you that software engineering internship! #coding #programming #softwareengineer #howtocode #csmajor #computerscience
- [tiktok_codingkabs#782cb23f] next to you
- [tiktok_codingkabs#7c10b629] Python Cheat Sheet
- [tiktok_codingkabs#73603e94] POV: your monitor becomes the best part of your setup 👀🖥️ I've been using the INNOCN 34C1R for coding, editing and multitasking, and the ultrawide layout has genuinely made my workflow so much easier. 34" Ultrawide IPS 3440 × 1440 WQHD Up to 180Hz Refresh Rate 1ms Response Time

## 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=64, 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=64, 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=64, method=platform_profile

## Freshness
- profile_checked_days_ago: 64
- content_analysed_days_ago: 57
- audience_updated_days_ago: 57

## AI retrieval
- indexing_requests: 6
- 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_codingkabs
- Request removal: https://koinonlink.com/claim?k=tiktok_codingkabs
- Terms: https://koinonlink.com/for-ai