# Solomon Rotimi (@graphlinkz) on x

- id: koinon:creator:x_graphlinkz
- url: https://koinonlink.com/kol/x/graphlinkz
- schema_version: 1.4

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

## Reach
- followers: 1779
- following: 1356
- posts_total: 6496
- posts_observed: 3
- posts_per_day: 2.312
- account_age_days: 2810
- verified: true
- size_tier: nano

## Engagement
- status: peak_post_only
- peak_post_engagement_rate: 0.00169
- best_post_interactions: 3
- 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: 0.85
- category_source: derived_from_recent_content
- topics: AI integration in design workflows, Design system quality control, User onboarding design, AI tool behavior and side effects, Technical creativity in product design
- bio: DESIGN ENGINEER

## Audience (inferred)
- status: present
- description: Design engineers and technical creatives interested in AI tools, design systems, and workflow automation
- roles: design
- seniority: practitioner
- pain_points: Struggling with unexpected file generation from AI tools like OpenClaw, Frustrated by design details breaking down under close inspection, Confused about how to effectively gather user requirements for onboarding flows, Overwhelmed by the lack of control when AI starts interacting with local development environments
- posts_analysed: 8
- confidence: 0.4

## Commercial (inferred)
- audience_buyer_fit: 0.9
- promotion_intent: 0.7
- open_to_collaboration: false
- contact: Koinon does not publish creator contact details.

## Quality signals
- authenticity_score: 55
- authenticity_basis: engagement_observed
- credibility_score: 55
- 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_graphlinkz#e3394c98] Planning the second edition of the workshop and master class https://t.co/6SrBljEkcf (https://twitter.com/graphlinkz/status/2072383926597734777)
- [x_graphlinkz#b4477f11] Patiently waiting for when we will be able to prompt hardware 🤌🏾🤌🏾
- [x_graphlinkz#f13bdcea] The people that we want to make Children of blood and bones
- [x_graphlinkz#bb845652] Tanjiro inspired fit?
- [x_graphlinkz#e6cc7e6e] Some designs look really fine until you zoom into it 🥲
- [x_graphlinkz#0427f04a] ChatGPT added options to Record a skill too. Interesting https://t.co/y4wtWfiHHo
- [x_graphlinkz#8812c98d] I just saw something scary in my root folder, some .md files that I didn't put there. I think it's from OpenClaw https://t.co/sNHxxOuc5W
- [x_graphlinkz#ea426f6e] Why questioning requirements matter. Trying to work on Onboarding improvements, and the power users have the most completed onboarding overall. It’s interesting to see how the dynamic or an initial requirement change. https://t.co/ijSm8MbGhu

## 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=80, 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=80, 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=80, 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: 80
- audience_updated_days_ago: 20

## AI retrieval
- indexing_requests: 6
- 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_graphlinkz
- Request removal: https://koinonlink.com/claim?k=x_graphlinkz
- Terms: https://koinonlink.com/for-ai