# krishan_23_ (@krishan_23_) on tiktok

- id: koinon:creator:tiktok_krishan_23_
- url: https://koinonlink.com/kol/tiktok/krishan_23_
- schema_version: 1.4

## Identity
- platform: tiktok
- handle: krishan_23_
- platform_url: https://www.tiktok.com/@krishan_23_
- website: https://stan.store/Krishan_23_
- country: United Kingdom
- entity_type: creator
- person_id: Cross-platform identity not resolved for this creator.

## Reach
- followers: 51095
- following: 168
- 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: entertainment
- subcategory: mindset
- category_confidence: 0.8
- category_source: derived_from_recent_content
- topics: degree apprenticeship application timelines and opening date, CV, cover letter and interview preparation tips, Revision timetables and summer plans for Year 10-13 students, Firm-specific advice (UBS, RSM, Goldman Sachs, JP Morgan, la, General student life and personal vlogs
- bio: Enquiries: [contact removed]

Apprentcice Lab: Website I created helping students with degree apprenticeships ⬇️

## Audience (inferred)
- status: present
- description: UK Year 12/13 sixth form students preparing for degree apprenticeship applications at big firms
- roles: none
- seniority: learner
- pain_points: Navigating highly competitive degree apprenticeship applications with low acceptance rates, Building ATS-friendly CVs, cover letters and preparing for video interviews/psychometric tests, Balancing GCSE/A-level revision with apprenticeship prep during summer holidays, Finding accurate timelines, opening dates and resources for specific firms like UBS, Goldman Sachs, JP Morgan
- posts_analysed: 100
- confidence: 0.9

## Commercial (inferred)
- audience_buyer_fit: 0.2
- promotion_intent: 0.1
- open_to_collaboration: false
- contact: Koinon does not publish creator contact details.

## Quality signals
- authenticity_score: 53
- authenticity_basis: profile_shape_only
- credibility_score: 53
- 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_krishan_23_#ad34af7c] Year 12 this is a checklist of all the things you need to have in place ahead of applications opening soon #degreeapprenticeship #year12 #apprenticeship #applications #cv (https://www.tiktok.com/@krishan_23_)
- [tiktok_krishan_23_#e27b44ea] original sound - krishan_23_
- [tiktok_krishan_23_#f1b63fd1] It is a becoming a big trend on TikTok now! Click here: degreeapprenticeship
- [tiktok_krishan_23_#8487dec4] Check out krishan_23_’s video! #TikTok >
- [tiktok_krishan_23_#6b7e645e] Search:
- [tiktok_krishan_23_#2676b912] apprenticeship tracker
- [tiktok_krishan_23_#03e6997b] #degreeapprenticeship #apprenticeship #apprentice #student #year12
- [tiktok_krishan_23_#59d6222f] Just Friends

## 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=76, method=llm_persona_from_recent_content
- audience.roles: source_type=ai_inferred, confidence=0.9, freshness_days=76, method=llm_persona_from_recent_content
- audience.seniority: source_type=ai_inferred, confidence=0.9, freshness_days=76, method=llm_persona_from_recent_content
- commercial.audience_buyer_fit: source_type=ai_inferred, confidence=0.6, freshness_days=76, 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=76, method=llm_scorer
- quality.anomaly_flags: source_type=heuristic, confidence=0.5, freshness_days=78, 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=76, 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=78, 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=78, method=platform_profile

## Freshness
- profile_checked_days_ago: 78
- content_analysed_days_ago: 76
- audience_updated_days_ago: 76

## AI retrieval
- indexing_requests: 13
- 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_krishan_23_
- Request removal: https://koinonlink.com/claim?k=tiktok_krishan_23_
- Terms: https://koinonlink.com/for-ai