# Ziadul Hasan (@alveejack1) on x

- id: koinon:creator:x_alveejack1
- url: https://koinonlink.com/kol/x/alveejack1
- schema_version: 1.4

## Identity
- platform: x
- handle: alveejack1
- platform_url: https://twitter.com/alveejack1
- website: https://verify.victusglobal.com/
- entity_type: creator
- person_id: Cross-platform identity not resolved for this creator.

## Reach
- followers: 25021
- following: 3392
- posts_total: 182863
- posts_observed: 2
- posts_per_day: 254.684
- account_age_days: 718
- verified: true
- size_tier: koc

## Engagement
- status: peak_post_only
- peak_post_engagement_rate: 0.01359
- best_post_interactions: 340
- 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: martech
- category_confidence: 0.8
- category_source: derived_from_recent_content
- topics: AI-powered ad optimization, Paid media management, Marketing automation, Data-driven decision making, Ad spend efficiency, Creative generation with AI
- bio: ✧ Personal brand, growth & marketing insights ✧
✍️  Opinions my own • Not financial advice •

## Audience (inferred)
- status: present
- description: Marketing and growth professionals, especially those managing paid media campaigns on Meta, Google, and TikTok
- roles: ads
- seniority: practitioner
- pain_points: Spending too much time manually checking dashboards without clear insights, Struggling to identify which ad elements are actually driving results, Wasting budget on underperforming ads due to lack of real-time optimization, Having to create new ads from scratch instead of leveraging proven winning creatives
- posts_analysed: 9
- confidence: 0.4

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

## Quality signals
- authenticity_score: 81
- authenticity_basis: engagement_observed
- credibility_score: 81
- 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_alveejack1#77b8b7df] Most advertisers spend hours checking dashboards and guessing what to do next. (https://twitter.com/alveejack1/status/2067671209710629130)
- [x_alveejack1#0efdd3c6] Now @Creatify_AI can handle a big part of that work.
- [x_alveejack1#350190c2] With AI Media Buyer from Creatify:
- [x_alveejack1#63cea0e9] ✅ Connect your Meta, Google, and TikTok accounts
- [x_alveejack1#85d51101] ✅ Spot what's actually driving results
- [x_alveejack1#181564ee] ✅ Cut wasted ad spend faster
- [x_alveejack1#fca8544e] ✅ Create new ads based on proven winners
- [x_alveejack1#9e1cd827] Less guessing. More data-backed decisions.

## 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=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=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=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: 79
- audience_updated_days_ago: 21

## 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=x_alveejack1
- Request removal: https://koinonlink.com/claim?k=x_alveejack1
- Terms: https://koinonlink.com/for-ai