# Charly Wargnier (@DataChaz) on x

- id: koinon:creator:x_datachaz
- url: https://koinonlink.com/kol/x/DataChaz
- schema_version: 1.4

## Identity
- platform: x
- handle: DataChaz
- platform_url: https://twitter.com/DataChaz
- website: https://www.charlywargnier.com/
- country: United Kingdom
- entity_type: creator
- person_id: Cross-platform identity not resolved for this creator.

## Reach
- followers: 174090
- following: 48969
- posts_total: 32028
- posts_observed: 1
- posts_per_day: 4.945
- account_age_days: 6477
- verified: true
- size_tier: kol

## Engagement
- status: peak_post_only
- peak_post_engagement_rate: 0.00005
- best_post_interactions: 8
- 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 agents and LLMs, Software development best practices, Automation in engineering, Open source tools, Frontend responsiveness and design, Learning new programming languages
- bio: Ex @Streamlit @Snowflake Maestro • I write about AI agents, LLMs and automation • My ❤️ is open source • DM for collabs 📩

## Audience (inferred)
- status: present
- description: Software engineers and tech enthusiasts, primarily mid-career developers interested in AI, automation, and open source tools
- roles: dev
- seniority: practitioner
- pain_points: Struggling to keep up with rapid AI advancements and their integration into daily workflows, Frustrated by outdated or broken production systems that require urgent fixes, Overwhelmed by the constant need to learn new technologies like TypeScript and AI agents, Lacking clear guidance on how to apply AI and automation effectively in real-world development scenarios
- posts_analysed: 8
- confidence: 0.4

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

## Quality signals
- authenticity_score: 54
- authenticity_basis: engagement_observed
- credibility_score: 89
- 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_datachaz#7c9ff6d2] EU will do this soon https://t.co/p18to9nqe3 (https://twitter.com/DataChaz/status/2069897288995025245)
- [x_datachaz#1efc1b81] This AI generated video is only three. years. old. how far we’ve come https://t.co/SyhAF7LjaH
- [x_datachaz#df60728a] practicing LeetCode and learning TypeScript at 40: https://t.co/H8Gn9JmUSi
- [x_datachaz#2403adf3] F*CK YEAH I'M FRAMING THIS https://t.co/mfsDlaA3zu
- [x_datachaz#f3364d7f] tech companies right now: https://t.co/0LCrIoSw8S
- [x_datachaz#ea2f037b] a senior dev fixing bugs in production https://t.co/4R5MilDWBo
- [x_datachaz#c8fce270] when someone accidentally pays for WinRAR 😁 https://t.co/DarSUoGPy3
- [x_datachaz#ba27d45d] now THIS is what I call responsive design: https://t.co/FVo9z6RHyj

## 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=111, 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=111, method=llm_scorer
- quality.anomaly_flags: source_type=heuristic, confidence=0.5, freshness_days=120, 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=111, 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=120, 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=120, method=platform_profile

## Freshness
- profile_checked_days_ago: 120
- content_analysed_days_ago: 111
- audience_updated_days_ago: 21

## AI retrieval
- indexing_requests: 13
- 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_datachaz
- Request removal: https://koinonlink.com/claim?k=x_datachaz
- Terms: https://koinonlink.com/for-ai