# Dalton Coleman (@dcstandard_) on tiktok

- id: koinon:creator:tiktok_dcstandard_
- url: https://koinonlink.com/kol/tiktok/dcstandard_
- schema_version: 1.4

## Identity
- platform: tiktok
- handle: dcstandard_
- platform_url: https://www.tiktok.com/@dcstandard_
- website: https://dcstandard.base44.app
- country: United States
- entity_type: creator
- person_id: Cross-platform identity not resolved for this creator.

## Reach
- followers: 5670
- following: 11
- posts_total: 79
- posts_observed: 3
- 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: lifestyle
- subcategory: fitness
- category_confidence: 0.95
- category_source: derived_from_recent_content
- topics: cutting and bulking strategies, workout routines (shoulders, legs, rear delts), daily high-protein meal examples, recovery tools like magnesium and mobility, natural bodybuilding lifestyle
- bio: Classic Physique | Natural
Knowingly imperfect, relentlessly becoming

## Audience (inferred)
- status: present
- description: Fitness enthusiasts and amateur bodybuilders focused on natural training, bulking/cutting, and whole-food nutrition
- roles: consumer
- seniority: practitioner
- pain_points: High cost of quality whole foods for high-protein diets, Balancing intense training with recovery and stress, Staying consistent with progressive overload and avoiding plateaus, Incorporating effective mobility and forearm work without wasting time
- posts_analysed: 40
- confidence: 0.75

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

## Quality signals
- authenticity_score: 49
- authenticity_basis: profile_shape_only
- credibility_score: 49
- 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_dcstandard_#9ff52d67] #reconnectwithnature (https://www.tiktok.com/@dcstandard_)
- [tiktok_dcstandard_#9e4f1b38] original sound - dcstandard_
- [tiktok_dcstandard_#7667c646] It is a becoming a big trend on TikTok now! Click here: reconnectwithnature
- [tiktok_dcstandard_#f2f264dd] Check out Dalton Coleman’s video! #TikTok >
- [tiktok_dcstandard_#8a9d8a24] Low-volume cutting strategy Sorry for the hiatus, back to it. Full video on my cutting strategies on YouTube this week, so drop any specifics you want me to cover in the comments.
- [tiktok_dcstandard_#6b7e645e] Search:
- [tiktok_dcstandard_#5467f3b8] dalton coleman
- [tiktok_dcstandard_#c0e38b32] Hard in Da Paint

## 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=72, method=llm_persona_from_recent_content
- audience.roles: source_type=ai_inferred, confidence=0.75, freshness_days=72, method=llm_persona_from_recent_content
- audience.seniority: source_type=ai_inferred, confidence=0.75, freshness_days=72, method=llm_persona_from_recent_content
- commercial.audience_buyer_fit: source_type=ai_inferred, confidence=0.6, freshness_days=72, 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=72, method=llm_scorer
- quality.anomaly_flags: source_type=heuristic, confidence=0.5, freshness_days=99, 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=72, 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=99, 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=99, method=platform_profile

## Freshness
- profile_checked_days_ago: 99
- content_analysed_days_ago: 72
- audience_updated_days_ago: 72

## AI retrieval
- indexing_requests: 8
- 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_dcstandard_
- Request removal: https://koinonlink.com/claim?k=tiktok_dcstandard_
- Terms: https://koinonlink.com/for-ai