# Dizzy (My Tech Guy) (@tokenlearnr) on tiktok

- id: koinon:creator:tiktok_tokenlearnr
- url: https://koinonlink.com/kol/tiktok/tokenlearnr
- schema_version: 1.4

## Identity
- platform: tiktok
- handle: tokenlearnr
- platform_url: https://www.tiktok.com/@tokenlearnr
- website: https://youtube.com/@tokenlearn?si=i4jWjo90f65Pw2hR
- entity_type: creator
- person_id: Cross-platform identity not resolved for this creator.

## Reach
- followers: 9158
- following: 29
- posts_total: 1
- 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: finance
- subcategory: crypto
- category_confidence: 0.9
- category_source: derived_from_recent_content
- topics: Binance trading tutorials, Crypto withdrawals to bank accounts, Stablecoins and wallets, Smart contracts, Crypto vs forex trading, Top cryptos and exchange comparisons
- bio: learn everything crypto and fintech

## Audience (inferred)
- status: present
- description: Crypto beginners and new traders seeking practical tutorials on Binance trading, withdrawals, wallets, and basic concepts like stablecoins
- roles: consumer
- seniority: learner
- pain_points: Unclear on step-by-step Binance trading and withdrawal processes, Confusion about crypto basics such as stablecoins, wallets, and smart contracts, Difficulty comparing exchanges like Binance, Kraken, and OKX, Uncertainty around crypto trading risks versus traditional forex
- posts_analysed: 36
- confidence: 0.75

## Commercial (inferred)
- audience_buyer_fit: 0.7
- promotion_intent: 0.9
- open_to_collaboration: false
- contact: Koinon does not publish creator contact details.

## Quality signals
- authenticity_score: 44
- authenticity_basis: profile_shape_only
- credibility_score: 44
- 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_tokenlearnr#764ceec7] How to place a Trade on Binance Part 1  #binance #trade #trading #cryptotrading (https://www.tiktok.com/@tokenlearnr)
- [tiktok_tokenlearnr#56046707] Warriyo Mortals
- [tiktok_tokenlearnr#4728ee2a] It is a becoming a big trend on TikTok now! Click here: binance
- [tiktok_tokenlearnr#68795770] Check out TokenLearn’s video! #TikTok >
- [tiktok_tokenlearnr#6b7e645e] Search:
- [tiktok_tokenlearnr#b9278773] how to trade in binance
- [tiktok_tokenlearnr#c967ce0b] Lux Pulse Vibe
- [tiktok_tokenlearnr#5c271924] How to Withdraw Money on Binance (Step-by-Step Tutorial 2026) | Crypto Withdrawal Guide) #Binance #Crypto #BinanceTutorial #withdrawcrypto

## 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=65, method=llm_persona_from_recent_content
- audience.roles: source_type=ai_inferred, confidence=0.75, freshness_days=65, method=llm_persona_from_recent_content
- audience.seniority: source_type=ai_inferred, confidence=0.75, freshness_days=65, method=llm_persona_from_recent_content
- commercial.audience_buyer_fit: source_type=ai_inferred, confidence=0.6, freshness_days=65, 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=65, 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=65, 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: 65
- audience_updated_days_ago: 65

## AI retrieval
- indexing_requests: 9
- 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_tokenlearnr
- Request removal: https://koinonlink.com/claim?k=tiktok_tokenlearnr
- Terms: https://koinonlink.com/for-ai