# Fadi Al-Aswadi (@f_aswadi) on x

- id: koinon:creator:x_f_aswadi
- url: https://koinonlink.com/kol/x/f_aswadi
- schema_version: 1.4

## Identity
- platform: x
- handle: f_aswadi
- platform_url: https://twitter.com/f_aswadi
- website: https://alaswadi.github.io/
- entity_type: creator
- person_id: Cross-platform identity not resolved for this creator.

## Reach
- followers: 71837
- following: 96
- posts_total: 12538
- posts_observed: 7
- posts_per_day: 2.1
- account_age_days: 5970
- verified: true
- size_tier: koc

## Engagement
- status: peak_post_only
- peak_post_engagement_rate: 0.0022
- best_post_interactions: 158
- 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: 0.8
- category_source: derived_from_recent_content
- topics: AI-powered data extraction from social platforms, Automation of content creation workflows, Tools for AI-generated slides and music
- bio: كاتب وصانع محتوى تقني
 مدرب تقني ودربت اكثر من 150 الف متدرب حول العالم.
مؤسس مساعد لعنب بودكاست
 @enabpodcast

## Audience (inferred)
- status: present
- description: Tech content creators and developers, mainly mid-level practitioners building AI-powered tools and automation workflows
- roles: dev
- seniority: practitioner
- pain_points: Struggling to extract and analyze large-scale social media data from multiple platforms, Finding it hard to automate repetitive content creation tasks like slide decks and music generation, Lacking efficient tools to turn raw data into actionable insights or creative outputs
- posts_analysed: 5
- confidence: 0.4

## Commercial (inferred)
- audience_buyer_fit: 0.8
- promotion_intent: 0.75
- open_to_collaboration: false
- contact: Koinon does not publish creator contact details.

## Quality signals
- authenticity_score: 97
- authenticity_basis: engagement_observed
- credibility_score: 97
- 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_f_aswadi#d3ac071d] قام أحد المطورين بعملية استخراج مؤتمتة للبيانات شملت 25 ألف تعليق عبر منصات يوتيوب، وفيسبوك، وإنستغرام، وتيك توك، وإكس، وريديت، للوقوف على أدوات الذكاء الاصطناعي التي تنجح فعلياً في توليد عوائد مالية للمستخدمين أو تساهم في توفير وقتهم التشغيلي. (https://twitter.com/f_aswadi)
- [x_f_aswadi#3a52ce78] .
- [x_f_aswadi#11c70444] المنشور تم تداوله في مجتمع ريادة الأعمال على منصة ريديت بواسطة أحد الحسابات النشطة.
- [x_f_aswadi#9f8e8fb0] ​
- [x_f_aswadi#8d27a3a6] وهذه بعض الادوات:
- [x_f_aswadi#77726c96] 1.  Beautiful AI → Slide decks
- [x_f_aswadi#2d774759] 2. Suno AI → Musi

## 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=21, method=llm_persona_from_recent_content
- audience.roles: source_type=ai_inferred, confidence=0.4, freshness_days=21, method=llm_persona_from_recent_content
- audience.seniority: source_type=ai_inferred, confidence=0.4, freshness_days=21, 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=117, 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=117, 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=117, method=platform_profile

## Freshness
- profile_checked_days_ago: 117
- content_analysed_days_ago: 79
- audience_updated_days_ago: 21

## AI retrieval
- indexing_requests: 12
- 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_f_aswadi
- Request removal: https://koinonlink.com/claim?k=x_f_aswadi
- Terms: https://koinonlink.com/for-ai