# KenyonDevLabs (@kenyondevlabs) on tiktok

- id: koinon:creator:tiktok_kenyondevlabs
- url: https://koinonlink.com/kol/tiktok/kenyondevlabs
- schema_version: 1.4

## Identity
- platform: tiktok
- handle: kenyondevlabs
- platform_url: https://www.tiktok.com/@kenyondevlabs
- website: https://linktr.ee/kenyondevlabs
- country: United Kingdom
- entity_type: creator
- person_id: Cross-platform identity not resolved for this creator.

## Reach
- followers: 3029
- following: 114
- posts_observed: 1
- 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: gaming
- subcategory: indie
- category_confidence: 0.95
- category_source: derived_from_recent_content
- topics: Indie survival game development updates, Unity 2D pixel art environment overhauls, Biome and world-building improvements, Player movement and mechanics additions, Community feedback and Discord engagement
- bio: Solo indie developer working hard to make games and experiences people will enjoy!

## Audience (inferred)
- status: present
- description: Indie game developers and aspiring Unity 2D/pixel art creators building their own survival or exploration games
- roles: dev
- seniority: practitioner
- pain_points: Making environments feel less repetitive and more natural with asset variation, Improving static or flat visuals like water, clouds, and biomes, Implementing smooth player mechanics such as dashing and item collection, Incorporating community feedback while iterating on game features
- posts_analysed: 40
- confidence: 0.75

## Commercial (inferred)
- audience_buyer_fit: 0.8
- promotion_intent: 0.6
- open_to_collaboration: false
- contact: Koinon does not publish creator contact details.

## Quality signals
- authenticity_score: 37
- authenticity_basis: profile_shape_only
- credibility_score: 37
- 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_kenyondevlabs#8813bfdb] I added clouds back into the game and completely reworked them ☁️ It’s amazing how something as simple as clouds can transform the entire look of the world. The terrain feels more atmospheric, more dynamic, and so much more alive. #gamedev #indiedev #unity2d #pixelart #videogame (https://www.tiktok.com/@kenyondevlabs)
- [tiktok_kenyondevlabs#2317623e] original sound - delta.beat
- [tiktok_kenyondevlabs#7a63fd18] It is a becoming a big trend on TikTok now! Click here: gamedev
- [tiktok_kenyondevlabs#d3b77f92] Check out KenyonDevLabs’s video! #TikTok >
- [tiktok_kenyondevlabs#6b7e645e] Search:
- [tiktok_kenyondevlabs#1fa15aa8] sfb games
- [tiktok_kenyondevlabs#79034c16] The ability to collect items has now been added ✨ #gamedev #indiedev #unity2d #pixelart #videogame
- [tiktok_kenyondevlabs#ac6e4bea] Jetlag

## 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=61, method=llm_persona_from_recent_content
- audience.roles: source_type=ai_inferred, confidence=0.75, freshness_days=61, method=llm_persona_from_recent_content
- audience.seniority: source_type=ai_inferred, confidence=0.75, freshness_days=61, method=llm_persona_from_recent_content
- commercial.audience_buyer_fit: source_type=ai_inferred, confidence=0.6, freshness_days=61, 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=61, method=llm_scorer
- quality.anomaly_flags: source_type=heuristic, confidence=0.5, freshness_days=61, 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=61, 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=61, 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=61, method=platform_profile

## Freshness
- profile_checked_days_ago: 61
- content_analysed_days_ago: 61
- audience_updated_days_ago: 61

## AI retrieval
- indexing_requests: 11
- 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_kenyondevlabs
- Request removal: https://koinonlink.com/claim?k=tiktok_kenyondevlabs
- Terms: https://koinonlink.com/for-ai