# Sam (@bhnosam) on tiktok

- id: koinon:creator:tiktok_bhnosam
- url: https://koinonlink.com/kol/tiktok/bhnosam
- schema_version: 1.4

## Identity
- platform: tiktok
- handle: bhnosam
- platform_url: https://www.tiktok.com/@bhnosam
- website: https://bhno.net/bhno-link-tree/
- country: Canada
- entity_type: creator
- person_id: Cross-platform identity not resolved for this creator.

## Reach
- followers: 4182
- following: 64
- posts_observed: 9
- 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: devtools
- category_confidence: 0.8
- category_source: derived_from_recent_content
- topics: Coding for absolute beginners, Everyday tech tips and myths, Gaming hardware and communities, Cybersecurity and university major advice
- bio: Better Health. New Opportunities.
Tech • Life • Building BHNO
BHNO Apparel ↓

## Audience (inferred)
- status: present
- description: Tech-curious beginners, students, and entry-level gamers looking to learn coding, cybersecurity, and basic computer tips
- roles: none
- seniority: learner
- pain_points: Struggling to start learning coding with no prior experience, Confusion about basic computer functions like deleted files and hardware care, Uncertainty choosing a tech-related university major or career path, Wanting to optimize gaming setups without advanced knowledge
- posts_analysed: 21
- confidence: 0.6

## Commercial (inferred)
- audience_buyer_fit: 0.5
- promotion_intent: 0.6
- open_to_collaboration: false
- contact: Koinon does not publish creator contact details.

## Quality signals
- authenticity_score: 39
- authenticity_basis: profile_shape_only
- credibility_score: 39
- 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_bhnosam#7f24c172] Coding 101: Coding isn’t just for hackers. It’s just like Legos… but for your computer 💻🧱 You can make antything you set your mind to, just takes patience and practice.  #LearnToCode #CodingBasics #GenZTech #FYP #TechTok #Programming101 #DigitalSkills #TryThis (https://www.tiktok.com/@bhnosam)
- [tiktok_bhnosam#1d0f4da4] original sound - bhnosam
- [tiktok_bhnosam#4d7d78df] It is a becoming a big trend on TikTok now! Click here: learntocode
- [tiktok_bhnosam#9d80a5b6] Check out Sam’s video! #TikTok >
- [tiktok_bhnosam#6b7e645e] Search:
- [tiktok_bhnosam#03ec3f56] how to learn coding for beginners
- [tiktok_bhnosam#51638de3] Deleted Files: Where Do They REALLY Go? After emptying our recycle bin, files seem gone, but they linger. We explore how deleted files remain on your hard drive until overwritten, freeing up space but not truly vanishing. #DataRecovery #FileDeletion #HardDrive #ComputerSecurity #

## Provenance
Every inferred field below carries how it was produced. Facts stay facts; inferences stay inferences.

- audience.description: source_type=ai_inferred, confidence=0.6, freshness_days=54, method=llm_persona_from_recent_content
- audience.roles: source_type=ai_inferred, confidence=0.6, freshness_days=54, method=llm_persona_from_recent_content
- audience.seniority: source_type=ai_inferred, confidence=0.6, freshness_days=54, method=llm_persona_from_recent_content
- commercial.audience_buyer_fit: source_type=ai_inferred, confidence=0.6, freshness_days=54, 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=54, method=llm_scorer
- quality.anomaly_flags: source_type=heuristic, confidence=0.5, freshness_days=82, 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=54, 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=82, 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=82, method=platform_profile

## Freshness
- profile_checked_days_ago: 82
- content_analysed_days_ago: 54
- audience_updated_days_ago: 54

## AI retrieval
- indexing_requests: 7
- 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_bhnosam
- Request removal: https://koinonlink.com/claim?k=tiktok_bhnosam
- Terms: https://koinonlink.com/for-ai