# PillNet AI (@Pillievers) on x

- id: koinon:creator:x_pillievers
- url: https://koinonlink.com/kol/x/Pillievers
- schema_version: 1.4

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

## Reach
- followers: 2466
- following: 133
- posts_total: 1206
- posts_observed: 1
- posts_per_day: 2.97
- account_age_days: 406
- verified: false
- size_tier: nano

## Engagement
- status: peak_post_only
- peak_post_engagement_rate: 0.015
- best_post_interactions: 37
- 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: finance
- subcategory: crypto
- category_confidence: 0.9
- category_source: derived_from_recent_content
- topics: Crypto market chaos and rugs, AI intelligence layer for Web3 clarity, Onboarding next billion users to crypto
- bio: The AI intelligence layer of Web3. Our goal is to onboard the next billion users into crypto. $PILL ca=5XqzzdodsNtAM8TtQyiqGVbD7GwLBBN7oVnRA3hLpump

## Audience (inferred)
- status: present
- description: Crypto/Web3 users frustrated with rugs, noise and risky trading, especially newer entrants
- roles: none
- seniority: consumer
- pain_points: Rug pulls executing in seconds, Market noise drowning real signals, Swaps feeling like gambling with high loss risk, New users entering blind and exiting broke
- posts_analysed: 2
- confidence: 0.4

## Commercial (inferred)
- audience_buyer_fit: 0.7
- promotion_intent: 0.9
- open_to_collaboration: false
- contact: Koinon does not publish creator contact details.

## Quality signals
- authenticity_score: 54
- authenticity_basis: engagement_observed
- credibility_score: 54
- 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_pillievers#b800b257] Crypto is sick. Rugs that hit in seconds. Noise that drowns every signal. Swaps that feel like Russian roulette. New users walking in blind and walking out broke. Most projects sell more symptoms. We built the antidote. PillNet isn’t another AI chatbot. It’s the immune system of  (https://twitter.com/Pillievers/status/2071723263525577096)
- [x_pillievers#6df3c4d6] Pillievers 💊☀️ Charts open, noise starts again… but we’re not here for the noise. We’re here for the intelligence layer that turns chaos into clarity and actually protects people. New week. Same f

## 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=67, method=llm_persona_from_recent_content
- audience.roles: source_type=ai_inferred, confidence=0.4, freshness_days=67, method=llm_persona_from_recent_content
- audience.seniority: source_type=ai_inferred, confidence=0.4, freshness_days=67, method=llm_persona_from_recent_content
- commercial.audience_buyer_fit: source_type=ai_inferred, confidence=0.6, freshness_days=80, 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=80, method=llm_scorer
- quality.anomaly_flags: source_type=heuristic, confidence=0.5, freshness_days=115, 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=80, 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=115, 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=115, method=platform_profile

## Freshness
- profile_checked_days_ago: 115
- content_analysed_days_ago: 80
- audience_updated_days_ago: 67

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