# AI Crave (@wecraveai) on x

- id: koinon:creator:x_wecraveai
- url: https://koinonlink.com/kol/x/wecraveai
- schema_version: 1.4

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

## Reach
- followers: 13826
- following: 9
- posts_total: 453
- posts_observed: 25
- posts_per_day: 0.487
- account_age_days: 930
- verified: true
- size_tier: koc

## Engagement
- status: peak_post_only
- peak_post_engagement_rate: 0.00304
- best_post_interactions: 42
- 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: 0.9
- category_source: derived_from_recent_content
- topics: AI-powered career tools, AI for job search and application optimization, Open-source AI projects, Developer-driven AI solutions, Career advancement with AI
- bio: Top source for AI and technology news.

## Audience (inferred)
- status: present
- description: AI and tech news followers, primarily early adopters and developers interested in practical AI tools for career advancement
- roles: dev
- seniority: practitioner
- pain_points: Struggling to stand out in competitive job markets with traditional resumes, Finding it hard to quickly evaluate job offers with limited time and data, Needing efficient, automated tools to tailor applications to specific roles, Lacking a systematic way to prepare for technical interviews
- posts_analysed: 5
- confidence: 0.4

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

## Quality signals
- authenticity_score: 79
- authenticity_basis: engagement_observed
- credibility_score: 79
- flagged_for_review: false
- koinon_bd_grade: A — 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_wecraveai#e7f8ae8f] Holy shit... (https://twitter.com/wecraveai)
- [x_wecraveai#ff4b50a0] A guy got laid off, built an AI job search system on Claude Code, evaluated 740+ job offers with it, and landed a Head of Applied AI role.
- [x_wecraveai#e5ddea97] Then he open-sourced the entire thing.
- [x_wecraveai#ead71c9d] It's called career-ops. One slash command. Full pipeline.
- [x_wecraveai#7d3edc95] Paste a job URL → get back a structured A-F evaluation, an ATS-optimized PDF tailored to that exact role, salary research, interview prep, and a tr

## 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=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=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=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: 79
- audience_updated_days_ago: 20

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