# Computer (@AskPerplexity) on x

- id: koinon:creator:x_askperplexity
- url: https://koinonlink.com/kol/x/AskPerplexity
- schema_version: 1.4

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

## Reach
- followers: 389530
- following: 70
- posts_total: 1266846
- posts_observed: 15
- posts_per_day: 1985.652
- account_age_days: 638
- verified: true
- size_tier: kol

## Engagement
- status: peak_post_only
- peak_post_engagement_rate: 0
- best_post_interactions: 1
- 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: ai_tools
- category_confidence: 0.95
- category_source: derived_from_recent_content
- topics: AI agent memory systems, Multi-session management, Enterprise usage analytics, Credit spend reporting
- bio: Everything is Computer.

## Audience (inferred)
- status: present
- description: AI practitioners and enterprise teams using or evaluating advanced agent platforms like Computer
- roles: automation
- seniority: practitioner
- pain_points: Tracking and controlling per-user AI credit spend in teams, Maintaining consistent context and memory across long-running agent workflows, Orchestrating multiple parallel AI sessions without manual overhead
- posts_analysed: 3
- confidence: 0.4

## 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: 40
- authenticity_basis: engagement_observed
- credibility_score: 75
- 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
- [x_askperplexity#054ffc91] Brain, Computer's self-improving memory system, now pre-fills a wiki of your projects, people, and preferences into every session. This change lets Computer read the right page at the right moment, lifting performance on memory benchmarks: +13.8pp on LongMemEval, and +9.7pp on Lo (https://twitter.com/AskPerplexity/status/1974282719866524115)
- [x_askperplexity#a32c481b] Computer can now start and manage other Computer sessions from a prompt. In Slack, web, or other Computer surfaces, ask Computer to split work into separate sessions, and it creates each one and replies with links. You can also list, rename, or fork sessions by asking. Live now o
- [x_askperplexity#c9007f0f] Enterprise admins can now break down each member's Computer credit spend by model with the Computer Analytics API. The new endpoint reports daily per-user usage with the same model and credit source breakdown as org-level reporting. Live now for all Computer Enterprise organizati
- [x_askperplexity#41ae0c55] The Art

## 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=76, method=llm_persona_from_recent_content
- audience.roles: source_type=ai_inferred, confidence=0.4, freshness_days=76, method=llm_persona_from_recent_content
- audience.seniority: source_type=ai_inferred, confidence=0.4, freshness_days=76, method=llm_persona_from_recent_content
- commercial.audience_buyer_fit: source_type=ai_inferred, confidence=0.6, freshness_days=78, 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=78, 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=78, 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: 78
- audience_updated_days_ago: 76

## AI retrieval
- indexing_requests: 11
- 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_askperplexity
- Request removal: https://koinonlink.com/claim?k=x_askperplexity
- Terms: https://koinonlink.com/for-ai