# Raf Dev (@rafiul_m) on tiktok

- id: koinon:creator:tiktok_rafiul_m
- url: https://koinonlink.com/kol/tiktok/rafiul_m
- schema_version: 1.3

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

## Reach
- followers: 6233
- following: 12
- posts_observed: 5
- 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: 0.95
- category_source: derived_from_recent_content
- topics: AI model comparisons (Deepseek, Gemini, KIMI, FABLE, GPT var, Building fullstack ecommerce and mobile apps with AI, Vibe coding techniques and prompt tips, Avoiding AI slop and improving output quality, Cheap AI subscriptions for coding
- bio: ngodingpakeai.com

## Audience (inferred)
- status: present
- description: Budget-conscious indie developers and hobbyists in Indonesia/Malaysia who build mobile/web apps using cheap AI coding tools
- roles: dev
- seniority: practitioner
- pain_points: Finding reliable cheap AI models under $5/month for real app development, Avoiding low-quality AI-generated code (slop) that breaks or looks bad, Comparing which AI model actually works best for fullstack or mobile apps, Building complete ecommerce or SaaS projects without strong traditional coding skills
- posts_analysed: 40
- confidence: 0.75

## Commercial (inferred)
- audience_buyer_fit: 0.8
- promotion_intent: 0.8
- open_to_collaboration: false
- contact: Koinon does not publish creator contact details.

## Quality signals
- authenticity_score: 41
- authenticity_basis: profile_shape_only
- credibility_score: 41
- 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_rafiul_m#37da5557] Claude Fable 5.1 vs GPT 5.6 Sol untuk app fullstack #ngodingpakeai #vibecoding #fyp #aicoding #chatgpt #claude #fable51 #gpt56 (https://www.tiktok.com/@rafiul_m)
- [tiktok_rafiul_m#b96a943f] original sound - rafiul_m
- [tiktok_rafiul_m#dcb5f748] It is a becoming a big trend on TikTok now! Click here: ngodingpakeai
- [tiktok_rafiul_m#23519742] Check out Raf Dev’s video! #TikTok >
- [tiktok_rafiul_m#65e4a916] Workflow AI coding terbaik #ngodingpakeai #vibecoding #fyp #opencode #aicoding #belajarngoding #chatgpt #claude
- [tiktok_rafiul_m#6a70db95] Cara mulai belajar vibe coding #ngodingpakeai #vibecoding #fyp #aicoding #belajarngoding
- [tiktok_rafiul_m#372a59d6] Claude Design GRATIS (Open Design) #ngodingpakeai #aidesign #chatgpt #vibecoding #fyp #aicoding #vibecoding #claudedesign #opendesign
- [tiktok_rafiul_m#0c82c6fc] GLM 5.3 Flash (OX ALPHA) untuk bikin app fullstack #ngodingpakeai #glm53 #oxalpha #fyp #aicoding #deepseek #vibecoding

## 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=18, method=llm_persona_from_recent_content
- audience.roles: source_type=ai_inferred, confidence=0.75, freshness_days=18, method=llm_persona_from_recent_content
- audience.seniority: source_type=ai_inferred, confidence=0.75, freshness_days=18, 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=12, 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=12, 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=12, method=platform_profile

## Freshness
- profile_checked_days_ago: 12
- content_analysed_days_ago: 0
- audience_updated_days_ago: 18

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