# productplaybook_ on IG 💎 (@productplaybook) on tiktok

- id: koinon:creator:tiktok_productplaybook
- url: https://koinonlink.com/kol/tiktok/productplaybook
- schema_version: 1.4

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

## Reach
- followers: 29320
- following: 139
- posts_observed: 1
- verified: false
- 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: software
- subcategory: saas
- category_confidence: 0.75
- category_source: derived_from_recent_content
- topics: PM interview preparation and resume projects, Big-tech PM apprenticeships and applications (Google APMM, P, Tech hiring trends and domain expertise, Standing out as a candidate without traditional experience, AI-related product and hackathon stories

## Audience (inferred)
- status: present
- description: Aspiring product managers and early-career tech job seekers, mainly students and junior candidates targeting big-tech PM roles and apprenticeships
- roles: none
- seniority: learner
- pain_points: Struggling to stand out in PM interviews without formal experience or internships, Navigating unpredictable tech hiring and limited headcount for product roles, Figuring out how to build portfolio projects that demonstrate product sense, Missing application deadlines or not knowing when big-tech PM internships open
- posts_analysed: 40
- confidence: 0.75

## Commercial (inferred)
- audience_buyer_fit: 0.9
- promotion_intent: 0.8
- open_to_collaboration: false
- contact: Koinon does not publish creator contact details.

## Quality signals
- authenticity_score: 50
- authenticity_basis: profile_shape_only
- credibility_score: 50
- 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
- [tiktok_productplaybook#87922b84] 😰a founder’s nightmare: your biggest customer wants to sign, but you’re stuck waiting on complex security reviews. but it doesn’t end there… as your company grows, compliance gets more complicated, and you’re responsible for staying on top of all the changes. → 💰your first ente (https://www.tiktok.com/@productplaybook)

## 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=96, 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=96, 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=96, method=platform_profile

## Freshness
- profile_checked_days_ago: 96
- content_analysed_days_ago: 61
- audience_updated_days_ago: 61

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