# Alec Keski (@aleckeski) on tiktok

- id: koinon:creator:tiktok_aleckeski
- url: https://koinonlink.com/kol/tiktok/aleckeski
- schema_version: 1.4

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

## Reach
- followers: 6612
- following: 195
- posts_observed: 2
- 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: 0.9
- category_source: derived_from_recent_content
- topics: After Effects tips and workflows, Free Premiere Pro plugins and tools, Short-form video editing techniques, How to improve as a video editor, Software comparisons and recommendations
- bio: 🎥 Video Editing that grows businesses
⚡ Worked with creators 1M+ subs
📩 DM if you’re ready to scale

## Audience (inferred)
- status: present
- description: Aspiring and practicing short-form video editors, especially freelancers or in-house editors working with TikTok/YouTube creators and small businesses
- roles: content
- seniority: practitioner
- pain_points: Struggling with After Effects crashes and performance issues on complex projects, Finding reliable free Premiere Pro plugins instead of paying for expensive packs or courses, Deciding which software to commit to (AE vs Premiere vs DaVinci) without wasting time, Learning advanced editing techniques and sound design hacks through trial and error
- posts_analysed: 40
- confidence: 0.75

## Commercial (inferred)
- audience_buyer_fit: 0.2
- promotion_intent: 0.1
- open_to_collaboration: false
- contact: Koinon does not publish creator contact details.

## Quality signals
- authenticity_score: 42
- authenticity_basis: profile_shape_only
- credibility_score: 42
- 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_aleckeski#21bd7093] Pov: you get a second dog #lab #dog #blacklab (https://www.tiktok.com/@aleckeski)
- [tiktok_aleckeski#374b5ac5] original sound - vlcondones
- [tiktok_aleckeski#068c136a] It is a becoming a big trend on TikTok now! Click here: lab
- [tiktok_aleckeski#e0832a7b] Check out Alec Keski’s video! #TikTok >
- [tiktok_aleckeski#0301fbe1] My After effects exploded😭 #ae #aftereffects
- [tiktok_aleckeski#70449e70] Saxophones getting louder - Sped Up
- [tiktok_aleckeski#75141f66] This is a crazy sound design hack
- [tiktok_aleckeski#9cb1e785] original sound - aleckeski

## 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=56, method=llm_persona_from_recent_content
- audience.roles: source_type=ai_inferred, confidence=0.75, freshness_days=56, method=llm_persona_from_recent_content
- audience.seniority: source_type=ai_inferred, confidence=0.75, freshness_days=56, method=llm_persona_from_recent_content
- commercial.audience_buyer_fit: source_type=ai_inferred, confidence=0.6, freshness_days=56, 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=56, method=llm_scorer
- quality.anomaly_flags: source_type=heuristic, confidence=0.5, freshness_days=108, 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=56, 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=108, 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=108, method=platform_profile

## Freshness
- profile_checked_days_ago: 108
- content_analysed_days_ago: 56
- audience_updated_days_ago: 56

## AI retrieval
- indexing_requests: 10
- 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_aleckeski
- Request removal: https://koinonlink.com/claim?k=tiktok_aleckeski
- Terms: https://koinonlink.com/for-ai