# TUNK (@_TUNK) on x

- id: koinon:creator:x__tunk
- url: https://koinonlink.com/kol/x/_TUNK
- schema_version: 1.4

## Identity
- platform: x
- handle: _TUNK
- platform_url: https://twitter.com/_TUNK
- website: https://drive.google.com/file/d/1yorYaNKDjNLsMRiPeQuUYLHMaoQ5iJ8p/view?usp=sharing
- entity_type: creator
- person_id: Cross-platform identity not resolved for this creator.

## Reach
- followers: 3762
- following: 110
- posts_total: 512
- posts_observed: 3
- posts_per_day: 0.073
- account_age_days: 7023
- verified: true
- size_tier: nano

## Engagement
- status: peak_post_only
- peak_post_engagement_rate: 0.00399
- best_post_interactions: 15
- measurement_source: x_post_interactions
- measurement_formula: interactions on one post — likes, or likes + reposts + replies depending on the discovery path (the two are not distinguishable in the stored data)
- comparable_pool: peak_interactions
- status_note: We have only the single best observed post, so no mean exists. peak_post_engagement_rate is an UPPER BOUND, systematically higher than an average — never compare it against an average rate.
- 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: martech
- category_confidence: 0.9
- category_source: derived_from_recent_content
- topics: demand generation campaign structure, creative testing strategy, scaling from 0 to 5k/day, ad set and campaign organization, placement optimization for early-stage ads, short-form video creatives
- bio: funnel builder, media buyer

## Audience (inferred)
- status: present
- description: Media buyers and demand generation specialists scaling from 0 to 5k/day in performance campaigns
- roles: ads
- seniority: practitioner
- pain_points: Struggling to structure initial demand gen campaigns effectively when starting from zero, Having difficulty deciding how many creative concepts to test per ad set, Not knowing the optimal placement strategy for early-stage scaling, Wasting time on creative formats that aren't scalable or easy to produce
- posts_analysed: 11
- confidence: 0.4

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

## Quality signals
- authenticity_score: 77
- authenticity_basis: engagement_observed
- credibility_score: 77
- flagged_for_review: false
- koinon_bd_grade: A — 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
- [x__tunk#776ac6f1] demand gen campaign structure that allowed me to scale from 0 - 5k/day in 35 days (https://twitter.com/_TUNK/status/2073001269073985703)
- [x__tunk#c5886807] campaign 1:
- [x__tunk#4be77c05] starting at 0 you need to test creatives
- [x__tunk#24150ee0] batch them to 1 campaign
- [x__tunk#91978f98] 1 concept per ad set
- [x__tunk#2e303e85] no more than 3-5 concepts per campaign
- [x__tunk#bbd03313] shorts only creative as this is the easiest to access
- [x__tunk#bd23e161] (you can make them landscape after they win)

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

- audience.description: source_type=ai_inferred, confidence=0.4, freshness_days=21, method=llm_persona_from_recent_content
- audience.roles: source_type=ai_inferred, confidence=0.4, freshness_days=21, method=llm_persona_from_recent_content
- audience.seniority: source_type=ai_inferred, confidence=0.4, freshness_days=21, method=llm_persona_from_recent_content
- commercial.audience_buyer_fit: source_type=ai_inferred, confidence=0.6, freshness_days=79, 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=79, 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=0.5, freshness_days=79, 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: 79
- audience_updated_days_ago: 21

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