# HRog(フロッグ) / 人材業界の一歩先を照らすメディア (@HRognet) on x

- id: koinon:creator:x_hrognet
- url: https://koinonlink.com/kol/x/HRognet
- schema_version: 1.4

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

## Reach
- followers: 5997
- following: 664
- posts_total: 21594
- posts_observed: 1
- posts_per_day: 4.561
- account_age_days: 4734
- verified: true
- size_tier: nano

## Engagement
- status: peak_post_only
- peak_post_engagement_rate: 0.00083
- best_post_interactions: 5
- 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: 0.85
- category_source: derived_from_recent_content
- topics: 新卒・就活生向け企業SNS・動画活用調査, 人材不足解決のための企業アライアンス事例, 賃上げ限界と第三の賃上げ施策, AIネイティブ採用の利便性・体験設計, 求人データを活用したデータドリブン営業
- bio: 人材業界の一歩先を照らすメディア『HRog』を運営するHRog編集部が、人材業界の最新ニュースや気になることなどを毎日発信します🐸フォローお待ちしています！

株式会社フロッグ：https://t.co/Ya6gHZuYjx

## Audience (inferred)
- status: present
- description: HR and talent professionals in Japan (primarily hiring managers and HR managers)
- roles: hr
- seniority: practitioner
- pain_points: Chronic shortage of part-time and non-regular workers, driving the need for inter-company collaboration, Feeling limited by wage increases, seeking alternative talent strategies, Difficulty balancing fairness and user experience when implementing AI-powered hiring tools, Lack of clear methodology for leveraging job data and social media as sales and hiring signals
- posts_analysed: 5
- confidence: 0.4

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

## Quality signals
- authenticity_score: 63
- authenticity_basis: engagement_observed
- credibility_score: 78
- 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_hrognet#12352eab] 🐸人材ニュース🐸 【27卒就活生212名に調査】64.2%が企業SNSのフォロワー数は重要ではないと回答 企業選びは"数字"より"中身"。76.9%が動画をきっかけに選考へ 🔽記事はコチラ🔽 https://t.co/lizeahyUqI (https://twitter.com/HRognet/status/2072961700299747504)
- [x_hrognet#985cbbd0] 🐸人材ニュース🐸 JCBとシェアフルがJCB加盟店の人材不足解決のためのアライアンス契約を締結 ～バイト人材の課題解決に向けた企業間提携は初～ 🔽記事はコチラ🔽 https://t.co/LD2qlTbMyV
- [x_hrognet#6e91f612] 🐸人材ニュース🐸 ８割以上の企業が賃上げに限界、「第三の賃上げ」の動きが加速か 🔽記事はコチラ🔽 https://t.co/6y0glXGXWY
- [x_hrognet#afd80a54] 🐸人材ニュース🐸 ＜AIネイティブ採用調査2026＞候補者の約8割が採用AIの「利便性」「公平性」などを評価、AI活用の先に求めるのは、候補者を深く理解した「体験設計」 🔽記事はコチラ🔽 https://t.co/IPupLdJuPv
- [x_hrognet#06b8f9f7] 🐸📢8月25日登壇！ なぜ、その企業に今アプローチするのか ― 求人データを営業シグナルに変える、データドリブン営業の設計法 🔽お申込みはコチラ🔽 https://t.co/4ORVbpfF4U 8月25日(火)に開催される「SALES SCIENCE CONFERENCE 2026｜その受注の勝因を、科学できているか。」に、フロッグ水野が登壇いたします！ ------------------------------ 累計40億件超の求人ビッグデータを扱うフロッグが、求人情報を単なる採用情報ではなく「営業シグナル」として読み解く方法を解説します。

## 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=111, 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=111, 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=111, method=platform_profile

## Freshness
- profile_checked_days_ago: 111
- content_analysed_days_ago: 77
- audience_updated_days_ago: 77

## AI retrieval
- indexing_requests: 8
- 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_hrognet
- Request removal: https://koinonlink.com/claim?k=x_hrognet
- Terms: https://koinonlink.com/for-ai