# madeonmint (@madeonmint) on tiktok

- id: koinon:creator:tiktok_madeonmint
- url: https://koinonlink.com/kol/tiktok/madeonmint
- schema_version: 1.4

## Identity
- platform: tiktok
- handle: madeonmint
- platform_url: https://www.tiktok.com/@madeonmint
- website: https://mint.gg/
- country: United States
- entity_type: creator
- person_id: Cross-platform identity not resolved for this creator.

## Reach
- followers: 24953
- following: 5
- posts_observed: 1
- 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: gaming
- subcategory: indie
- category_confidence: 0.9
- category_source: derived_from_recent_content
- topics: AI generative 3D from prompts/images, game design and level creation, Blender + AI workflows, aesthetic trends like Frutiger Aero, Backrooms, dreamcore, quick asset and animation generation
- bio: The only all in one agent for generative 3D assets, worlds, materials, and animation

## Audience (inferred)
- status: present
- description: indie game devs, 3D hobbyists and AI tool users focused on fast generative 3D assets and level design
- roles: dev
- seniority: practitioner
- pain_points: traditional 3D modeling takes too long for quick prototypes, hard to turn single images or ideas into usable game-ready assets, integrating AI outputs into Blender or game engines smoothly, creating consistent worlds and animations without a full team
- posts_analysed: 100
- confidence: 0.9

## Commercial (inferred)
- audience_buyer_fit: 0.8
- promotion_intent: 0.9
- 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: B — 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_madeonmint#72b60c25] hard truth, but modern day tools are helping devs and 3D modelers way more than ever before #mintgg #game #dev #claude (https://www.tiktok.com/@madeonmint)
- [tiktok_madeonmint#a16c8e08] original sound - n_a.n.i1
- [tiktok_madeonmint#37d2f57c] It is a becoming a big trend on TikTok now! Click here: mintgg
- [tiktok_madeonmint#3e120906] Check out madeonmint’s video! #TikTok >
- [tiktok_madeonmint#3c656608] this show was so good i can’t wait for it to be back #mintgg #game #dev #claude
- [tiktok_madeonmint#56df9424] original sound - l_translator7
- [tiktok_madeonmint#5ff85087] Que Sera Sera
- [tiktok_madeonmint#1c9bb938] CORALLLLL #3dmodel #gamer #game #gamedesign #leveldesign  The Walking dead game 3D models and level design — how I built the world Lead Working on a Walking dead game — focused on 3D models and the world — presents a clear creative goal: recreate recognizable locations and playab

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

- audience.description: source_type=ai_inferred, confidence=0.9, freshness_days=67, method=llm_persona_from_recent_content
- audience.roles: source_type=ai_inferred, confidence=0.9, freshness_days=67, method=llm_persona_from_recent_content
- audience.seniority: source_type=ai_inferred, confidence=0.9, freshness_days=67, method=llm_persona_from_recent_content
- commercial.audience_buyer_fit: source_type=ai_inferred, confidence=0.6, freshness_days=67, 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=67, method=llm_scorer
- quality.anomaly_flags: source_type=heuristic, confidence=0.5, freshness_days=67, 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=67, 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=67, 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=67, method=platform_profile

## Freshness
- profile_checked_days_ago: 67
- content_analysed_days_ago: 67
- audience_updated_days_ago: 67

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