# All-In Pod clips (@allinpodcastclips) on tiktok

- id: koinon:creator:tiktok_allinpodcastclips
- url: https://koinonlink.com/kol/tiktok/allinpodcastclips
- schema_version: 1.2

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

## Reach
- followers: 133877
- following: 69
- posts_observed: 33
- verified: false
- size_tier: kol

## 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: entertainment
- subcategory: edu_science
- category_confidence: 0.85
- category_source: derived_from_recent_content
- topics: AI developments and implications, Tech industry and company news, US politics and elections, Economics and policy debates, Science topics

## Audience (inferred)
- status: present
- description: All-In Podcast fans interested in tech, AI, politics, and economics discussions
- roles: general_ai
- seniority: consumer
- pain_points: Keeping up with fast-moving AI and tech news, Understanding political and policy impacts on business/tech, Navigating economic debates like taxes, trade, and inequality
- posts_analysed: 40
- confidence: 0.75

## Commercial (inferred)
- audience_buyer_fit: 0.3
- promotion_intent: 0.1
- open_to_collaboration: false
- contact: Koinon does not publish creator contact details.

## Quality signals
- authenticity_score: 58
- authenticity_basis: profile_shape_only
- credibility_score: 58
- 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_allinpodcastclips#d27c6ba7] David Friedberg explains retatrutide #Science (https://www.tiktok.com/@allinpodcastclips)
- [tiktok_allinpodcastclips#8d655584] original sound - allinpodcastclips
- [tiktok_allinpodcastclips#ff90bc76] Thanks to all who joined the #Science Post Contest! Check out the winner showcase here: https://vt.tiktok.com/ZMAf3xVgr/
- [tiktok_allinpodcastclips#d60adfc2] It is a becoming a big trend on TikTok now! Click here: science
- [tiktok_allinpodcastclips#e36aa534] Check out All-In Pod clips’s video! #TikTok >
- [tiktok_allinpodcastclips#34ab6c9e] How google won in search
- [tiktok_allinpodcastclips#6179754d] Clair de lune/Debussy
- [tiktok_allinpodcastclips#32f0789e] I think we can all relate. You meet wacky characters of all sorts at these conferences. Jason Calacanis shares an interesting point of view from the 90s about this guy everyone seems to talk about

## 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=0, method=llm_persona_from_recent_content
- audience.roles: source_type=ai_inferred, confidence=0.75, freshness_days=0, method=llm_persona_from_recent_content
- audience.seniority: source_type=ai_inferred, confidence=0.75, freshness_days=0, method=llm_persona_from_recent_content
- commercial.audience_buyer_fit: source_type=ai_inferred, confidence=0.6, freshness_days=0, 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=0, method=llm_scorer
- quality.anomaly_flags: source_type=heuristic, confidence=0.5, freshness_days=2, 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=0, 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=2, 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=2, method=platform_profile

## Freshness
- profile_checked_days_ago: 2
- content_analysed_days_ago: 0
- audience_updated_days_ago: 0

## AI retrieval
- indexing_requests: 1
- 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_allinpodcastclips
- Request removal: https://koinonlink.com/claim?k=tiktok_allinpodcastclips
- Terms: https://koinonlink.com/for-ai