# Tim O'Shea (@timosheahq) on x

- id: koinon:creator:x_timosheahq
- url: https://koinonlink.com/kol/x/timosheahq
- schema_version: 1.4

## Identity
- platform: x
- handle: timosheahq
- platform_url: https://twitter.com/timosheahq
- website: https://newsletter.theboost.ai/
- entity_type: creator
- person_id: Cross-platform identity not resolved for this creator.

## Reach
- followers: 11332
- following: 1108
- posts_total: 1058
- posts_observed: 1
- posts_per_day: 0.788
- account_age_days: 1342
- verified: true
- 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: ecommerce
- subcategory: ecom_ads
- category_confidence: 0.9
- category_source: derived_from_recent_content
- topics: Ad creative effectiveness, Funnel optimization, Return on ad spend (ROAS), Post-click user experience, Ad funnel leaks, Mobile app onboarding flows
- bio: Previous Founder with 2 exits with zero funding. Now making high performing ads for brands. DM if you want higher return on your ad spend.

## Audience (inferred)
- status: present
- description: Ad performance specialists and brand marketers focused on scaling paid ads, especially those struggling with conversion despite good creative
- roles: ads
- seniority: practitioner
- pain_points: Struggling to convert high-quality ad creative into actual sales, Facing high ad spend with poor return on ad spend (ROAS), Not understanding why their funnels are leaking despite good creative, Lack of insight into post-click user experience and funnel optimization
- posts_analysed: 8
- confidence: 0.4

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

## Quality signals
- authenticity_score: 76
- authenticity_basis: profile_shape_only
- credibility_score: 76
- 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
- [x_timosheahq#1fefb879] I sell ad creative for a living. (https://twitter.com/timosheahq/status/2072202070896099719)
- [x_timosheahq#8c650b60] But sometimes a brand spends money on good creative and it still fails.
- [x_timosheahq#5a99c4b7] When that happens, I do not blame the Meta algorithm.
- [x_timosheahq#840224de] I look at the website.
- [x_timosheahq#736a06e4] Because good creative only gets people to the door.
- [x_timosheahq#f44ac6a6] If the funnel leaks, even great ads just burn cash.
- [x_timosheahq#944c7cb9] Mobile app developers understand this.
- [x_timosheahq#bf068954] They build long onboarding flows with page after page of tiny commit

## 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=20, method=llm_persona_from_recent_content
- audience.roles: source_type=ai_inferred, confidence=0.4, freshness_days=20, method=llm_persona_from_recent_content
- audience.seniority: source_type=ai_inferred, confidence=0.4, freshness_days=20, 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=112, 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=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=112, 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=112, method=platform_profile

## Freshness
- profile_checked_days_ago: 112
- content_analysed_days_ago: 79
- audience_updated_days_ago: 20

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