# Apple Guru (i-Workshop) (@appleguru2017) on tiktok

- id: koinon:creator:tiktok_appleguru2017
- url: https://koinonlink.com/kol/tiktok/appleguru2017
- schema_version: 1.2

## Identity
- platform: tiktok
- handle: appleguru2017
- platform_url: https://www.tiktok.com/@appleguru2017
- entity_type: creator
- person_id: Cross-platform identity not resolved for this creator.

## Reach
- followers: 73038
- posts_total: 326
- posts_observed: 5
- 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: ecommerce
- subcategory: dtc_brand
- category_confidence: 0.85
- category_source: derived_from_recent_content
- topics: iPhone新机二手机销售, 分期付款租购方案, 具体型号促销和换机, 仰光实体店地址库存

## Audience (inferred)
- status: present
- description: Ordinary consumers in Yangon, Myanmar, especially young people looking to buy new or used iPhones through installment plans or rentals
- roles: consumer
- seniority: consumer
- pain_points: New iPhones are too expensive to pay in full upfront, Need low-barrier installment or rental options, Worried about the quality and authenticity of used phones, Want to trade in their old phones but have limited options available
- posts_analysed: 40
- confidence: 0.75

## Commercial (inferred)
- audience_buyer_fit: 0.1
- promotion_intent: 0.3
- open_to_collaboration: false
- contact: Koinon does not publish creator contact details.

## Quality signals
- authenticity_score: 63
- authenticity_basis: profile_shape_only
- credibility_score: 63
- 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_appleguru2017#493525e3] တာမွေ ဆိုင် ဖွင့်ပြီ နော် ... #appleguru #iphonebrandnew #iphonesecond #tarmwe #fyp (https://www.tiktok.com/@appleguru2017)
- [tiktok_appleguru2017#6a9130e8] original sound - appleguru2017
- [tiktok_appleguru2017#fdfc8a47] It is a becoming a big trend on TikTok now! Click here: appleguru
- [tiktok_appleguru2017#0d1d6875] Check out Apple Guru (i-Workshop)’s video! #TikTok >
- [tiktok_appleguru2017#cada00a3] Apple Guru ဆိုင် လိပ်စာလေးကတော့ အမှတ် ၆၆/၆၈ ၊ မြေညီထပ် ၊ ရန်ကုန် အင်းစိန် လမ်းမကြီး ပေါ် ၊ စံရိပ်ငြိမ် (၆) လ်မ်းထိပ် ၊ ကမာရွတ်မြို့နယ် ၊ လှည်းတန်း ၊ ရန်ကုန်မြို့ ။ 09 400 94 1188 , 09 400 94 1199 #appleguru #iphonebrandnew #iphonesecond #appleguruaddress #foryou
- [tiktok_appleguru2017#de64d2e8] ဒါမျိုး Quality လာကြည့်ပြီးမှ ဝယ်ပါ ... #appleguru#iphone15 #rent2own #fyp #foryou
- [tiktok_appleguru2017#0ac288f8] Mango Tide
- [tiktok_appleguru2017#3f25db52] ၂ လုံး ၁ လုံး လဲမလား ? #appleguru #iphone13 #iphone12 #rent2own #အရစ်ကျ

## 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=0, method=llm_persona_from_recent_content
- audience.roles: source_type=ai_inferred, confidence=0.75, freshness_days=0, method=llm_persona_from_recent_content
- audience.seniority: source_type=ai_inferred, confidence=0.75, freshness_days=0, 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=42, 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=42, 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=42, method=platform_profile

## Freshness
- profile_checked_days_ago: 42
- content_analysed_days_ago: 0
- audience_updated_days_ago: 0

## 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_appleguru2017
- Request removal: https://koinonlink.com/claim?k=tiktok_appleguru2017
- Terms: https://koinonlink.com/for-ai