# type就活【公式】 (@typeshukatsu) on x

- id: koinon:creator:x_typeshukatsu
- url: https://koinonlink.com/kol/x/typeshukatsu
- schema_version: 1.4

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

## Reach
- followers: 8158
- following: 1553
- posts_total: 26947
- posts_observed: 2
- posts_per_day: 4.358
- account_age_days: 6183
- verified: true
- size_tier: nano

## Engagement
- status: not_collected
- status_note: Engagement has not been collected for this creator yet. This is a gap in our collection, NOT a statement that the creator has no engagement. Follower count is known, so it is measurable.
- 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
- category_confidence: 0.5
- category_source: derived_from_discovery_path
- topics: Corporate job hunting for STEM students, Real interview preparation for large companies, Understanding the actual work in trading companies, Career path insights from P&G and major trading houses

## Audience (inferred)
- status: present
- description: 2028届毕业生，主要为理系背景、目标进入大企业（尤其是综合商社、P&G等）的日本求职者
- roles: general_ai
- seniority: learner
- pain_points: Struggling to explain their research in simple terms during interviews, Unsure how to answer deep questions like 'Why are you switching from research to consulting/ trading?', Lacking understanding of real-world operations and practical skills needed in large corporations, Feeling overwhelmed by the gap between academic background and corporate expectations
- posts_analysed: 4
- confidence: 0.4

## Commercial (inferred)
- audience_buyer_fit: 0.3
- promotion_intent: 0.1
- open_to_collaboration: false
- contact: Koinon does not publish creator contact details.

## Quality signals
- authenticity_score: 73
- authenticity_basis: profile_shape_only
- credibility_score: 73
- 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_typeshukatsu#1d747caf] 【期間限定アーカイブ】 P&Gジャパン メーカー業界研究セミナー SalesやHRのプロとして、 若手から大きな裁量を持って働きたい方へ。 P&G社員が、職種別キャリアのリアルを解説します。 ・Sales・HRの仕事内容 ・職種ごとに専門性を磨く環境 ・若手から任される仕事と成長機会 ・社員へのQ&A 秋以降の選考に向けて、 P&Gでどんなプロになりたいかを具体化したい方におすすめです。 詳細はリプ欄👇 (https://twitter.com/typeshukatsu/status/2068490833981268319)
- [x_typeshukatsu#9a154228] 【9月24日(木)19:00～20:00開催】 ＼理系面接対策／大手内定者のリアル対策！研究内容の伝え方・噛み砕き方セミナー 「『研究内容をわかりやすく説明して』と言われたが、どこまで噛み砕いていいかわからない」 「『なぜ理系なのに商社・コンサルなの？』という深掘りに答えられない」 「教授から与えられた研究テーマなので、自分の主体的な試行錯誤は特にない…」 こんな悩みをもった理系学生の皆さんはいらっしゃいませんか⁈ このセミナーでは、独自の「人事アンケート結果」から、面接官が本当に見ている評価基準を大公開！✨ ◆ 商社やコンサル、大手メーカーなどの選考を
- [x_typeshukatsu#c74d4b7a] 総合商社の選考は「スケールの大きさ」や「グローバル」を語る学生から落ちていきます。 現場で求められるのは、泥臭い実務への理解と利害をまとめる調整力。 本記事では5大商社別の事業特徴はもちろん、OBOG訪問で現場のリアルを引き出す逆質問リストまで網羅しました。 忘れないように右上の保存を推奨✅ #28卒 #総合商社
- [x_typeshukatsu#9b547801] 【8月26日(水)18:00～1

## 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=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=123, 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=0.25, 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=123, 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=123, method=platform_profile

## Freshness
- profile_checked_days_ago: 123
- content_analysed_days_ago: 77
- audience_updated_days_ago: 21

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