# Ainul Md Razib | Cybersec Eng (@ainlovescode) on tiktok

- id: koinon:creator:tiktok_ainlovescode
- url: https://koinonlink.com/kol/tiktok/ainlovescode
- schema_version: 1.4

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

## Reach
- followers: 80691
- following: 5009
- posts_total: 944
- posts_observed: 6
- 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: AI tools and industry news, Singapore/Asia tech salaries, Halal investing and finance, Cybersecurity and STEM careers, AI ethics and local policy

## Audience (inferred)
- status: present
- description: Singapore and Southeast Asia tech practitioners interested in AI, cybersecurity careers, regional salaries, and halal investing
- roles: dev
- seniority: practitioner
- pain_points: Keeping up with weekly new AI models and tools, Negotiating fair tech salaries in a slowing economy, Finding halal-compliant ways to invest and grow savings, Understanding regional AI adoption and responsible use
- posts_analysed: 40
- confidence: 0.75

## Commercial (inferred)
- audience_buyer_fit: 0.9
- promotion_intent: 0.6
- open_to_collaboration: false
- contact: Koinon does not publish creator contact details.

## Quality signals
- authenticity_score: 64
- authenticity_basis: profile_shape_only
- credibility_score: 64
- flagged_for_review: false
- koinon_bd_grade: A — 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_ainlovescode#3bf16b83] Why a third-party booking system crash might be better than building your own system 👀 #STEMTok #TechNews #Rembayung #RembayungByKhairulAming (https://www.tiktok.com/@ainlovescode)
- [tiktok_ainlovescode#d8586eff] original sound - ainlovescode
- [tiktok_ainlovescode#6974689b] Explore a wide range of inspiring and entertaining videos related to science, technology, engineering, and mathematics
- [tiktok_ainlovescode#8517050b] It is a becoming a big trend on TikTok now! Click here: stemtok
- [tiktok_ainlovescode#a7c396d1] Check out Ainul Md Razib | Cybersec Eng’s video! #TikTok >
- [tiktok_ainlovescode#6b7e645e] Search:
- [tiktok_ainlovescode#c120ea85] umai khairul aming
- [tiktok_ainlovescode#17ae945a] Indonesia 🇮🇩 and Malaysia 🇲🇾 are the first to ban Grok - here’s why! #STEMTok #TechNews #LearnOnTikTok #GrokAI

## 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=55, method=llm_persona_from_recent_content
- audience.roles: source_type=ai_inferred, confidence=0.75, freshness_days=55, method=llm_persona_from_recent_content
- audience.seniority: source_type=ai_inferred, confidence=0.75, freshness_days=55, method=llm_persona_from_recent_content
- commercial.audience_buyer_fit: source_type=ai_inferred, confidence=0.6, freshness_days=55, 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=55, method=llm_scorer
- quality.anomaly_flags: source_type=heuristic, confidence=0.5, freshness_days=93, 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=55, 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=93, 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=93, method=platform_profile

## Freshness
- profile_checked_days_ago: 93
- content_analysed_days_ago: 55
- audience_updated_days_ago: 55

## AI retrieval
- indexing_requests: 10
- user_triggered_requests: 1
- last_user_triggered_day: 2026-09-10
- 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_ainlovescode
- Request removal: https://koinonlink.com/claim?k=tiktok_ainlovescode
- Terms: https://koinonlink.com/for-ai