# akyun (@akyun_snow) on x

- id: koinon:creator:x_akyun_snow
- url: https://koinonlink.com/kol/x/akyun_snow
- schema_version: 1.4

## Identity
- platform: x
- handle: akyun_snow
- platform_url: https://twitter.com/akyun_snow
- website: https://note.com/akyun
- country: Japan
- entity_type: creator
- person_id: Cross-platform identity not resolved for this creator.

## Reach
- followers: 977
- following: 680
- posts_total: 5090
- posts_observed: 3
- posts_per_day: 1.271
- account_age_days: 4005
- verified: false
- size_tier: nano

## Engagement
- status: peak_post_only
- peak_post_engagement_rate: 0.00921
- best_post_interactions: 9
- 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: devtools
- category_confidence: 0.85
- category_source: derived_from_recent_content
- topics: AI工具在企业中的应用与局限, 工程师市场调查报告, 产品开发中的功能决策与工程实践, 法律科技与Harvey类AI工具, 科技招聘与组织构建案例
- bio: Tech Recruiter @LayerXcom / Previously @LINECorp_jp / a snowboard freak

## Audience (inferred)
- status: present
- description: Japanese tech industry recruiters, HR leaders, and engineers/product managers interested in AI/engineering market trends
- roles: hr
- seniority: practitioner
- pain_points: Tight competition for scarce AI talent makes precise candidate matching difficult, Need to continuously track engineering market reports and salary trends to shape hiring strategies, Assessing the impact of AI tools on product development and legal compliance, Managing and organizing large volumes of industry information and note materials
- posts_analysed: 8
- confidence: 0.4

## Commercial (inferred)
- audience_buyer_fit: 0.95
- promotion_intent: 0.9
- open_to_collaboration: false
- contact: Koinon does not publish creator contact details.

## Quality signals
- authenticity_score: 44
- authenticity_basis: engagement_observed
- credibility_score: 44
- flagged_for_review: false
- koinon_bd_grade: C — 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_akyun_snow#a1a28a0b] Lunaが最強コスパでこのまま市場を寡占してしまうのかと思えるほど (https://twitter.com/akyun_snow/status/2070338432111616160)
- [x_akyun_snow#e7cea1e2] 好評いただいたmosa-sanの「機能を作るな」イベントのYouTubeがでました。プロダクトエンジニア、PdMの方ぜひご視聴ください:) 【機能を作るな】使いやすいプロダクトに必要な要素とは？バクラク事業CPOが語る"作らない意思決定" https://t.co/aPqe6zMZ4m
- [x_akyun_snow#123e6414] AI-Native、想像されるトークン消費量的にもほとんどの企業がたどり着けない遥か高みにある設定だった
- [x_akyun_snow#652e3f05] とても良い素材 https://t.co/guq9TWBNxT
- [x_akyun_snow#d3025067] - 25%が弁護士(!) - FDEと元弁護士のリーガルエンジニアが導入支援 すごい組織構成と採用力 「モデルが20％良くなったら、Harveyは60％」 その成長の裏には弁護士集団「リーガルエンジニア」がいた ──Harvey COO Katie Burke https://t.co/bz2V9R9bKy #allstarsaas
- [x_akyun_snow#acaf416f] 7月版でた、みてる エンジニア調査レポート 2026年7月版 https://t.co/2z1yV60Fmz #Findyマーケットレポート
- [x_akyun_snow#a1bb91b7] 大量の積ん読消化と貯めてるnote案を書く合宿したい
- [x_akyun_snow#48d8d84e] しゃりっと食感のコーティング系グミ、これならドライフルーツ食べるほうが美味しくない？

## 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=77, method=llm_persona_from_recent_content
- audience.roles: source_type=ai_inferred, confidence=0.4, freshness_days=77, method=llm_persona_from_recent_content
- audience.seniority: source_type=ai_inferred, confidence=0.4, freshness_days=77, method=llm_persona_from_recent_content
- commercial.audience_buyer_fit: source_type=ai_inferred, confidence=0.6, freshness_days=77, 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=77, 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=77, 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: 77
- audience_updated_days_ago: 77

## AI retrieval
- indexing_requests: 5
- 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_akyun_snow
- Request removal: https://koinonlink.com/claim?k=x_akyun_snow
- Terms: https://koinonlink.com/for-ai