ResearchClawOpenClawが搭載されたエージェントが論文から研究者を検索しランク付けし、そのほか、簡単なエンギッシュで採用の根拠の執筆、論文を基にしているコールドメールの草案作成を行う。

4.8 (6)

レビュー: Daniel Nikulshyn·更新 2026年5月

AI Agent Research Recruiting Talent Sourcing Cold Outreach Academic Papers Open Source

概要

ResearchClaw — OpenClawが搭載されたエージェントが論文から研究者を検索しランク付けし、そのほか、簡単なエンギッシュで採用の根拠の執筆、論文を基にしているコールドメールの草案作成を行う。

料金

モデル: Free
カテゴリー: Research AI Agents
評価: 4.8 / 5 (6)

ユースケース

論文から研究者を取得する

学術論文を自動的に検索し、候補者をランク付けし、テクニカルまたは科学的な役割の候補者を表面化します。

簡単なエンギッシュの採用根拠を生成する

特定の研究者がどのように適合するのかを説明するのに役立つ、明確かつ人間が読めるの採用根拠を生成します。

コールドメールの草案作成

特定の研究者が書いたものにコールドメールを記述して、一般的な採用のメッセージよりも高い返信率に改善します。

レビュー

4.8

6件の評価の平均。

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Leila Hassan

Dec 9, 2025

Compared a few options

Evaluated this against two competitors. Where it wins: the automation and support is responsive. On balance the feature set — especially the integrations — justifies the 5 stars for our use case.

Hiroshi Tanaka

Nov 24, 2025

Solid for our team

We rolled this out across the team last quarter and it is genuinely easy to set up. The onboarding fits neatly into how we already work, and the core workflow removed a step we used to do by hand. A few rough edges remain, which is the main caveat, but it has held up under daily use.

Esther Adeyemi

Nov 12, 2025

Compared a few options

Evaluated this against two competitors. Where it wins: the dashboard and it is genuinely easy to set up. Where it lags: the docs could be deeper. On balance the feature set — especially the integrations — justifies the 4 stars for our use case.

Daniel Schmidt

Oct 31, 2025

Years in this space

I've evaluated a lot of these over the years. What stands out here is the onboarding — handled better than most — and it is genuinely easy to set up. Pricing gets steep at scale is my one real gripe. Worth the time if this is your use case.

Yuki Mori

Aug 13, 2025

Compared a few options

Evaluated this against two competitors. Where it wins: the automation and the value for money is strong. On balance the feature set — especially the API — justifies the 5 stars for our use case.

Wei Chen

Jun 3, 2025

Years in this space

I've evaluated a lot of these over the years. What stands out here is the onboarding — handled better than most — and it saves real time. Worth the time if this is your use case.

Q&A

Who is ResearchClaw best suited for?

It's geared toward recruiters, founders, and hiring managers sourcing research talent—particularly those targeting candidates with published papers who want outreach that references each researcher's actual work rather than generic templates.

How does ResearchClaw personalize the cold emails it drafts?

The agent reads the researcher's papers and crafts outreach that references their specific work, paired with a plain-English hiring thesis explaining the fit. This grounds each email in the candidate's actual research rather than generic talking points.

What does ResearchClaw actually do for technical recruiting?

ResearchClaw is an OpenClaw-powered agent that surfaces and ranks researchers based on their published papers, generates plain-English hiring theses explaining why each candidate is a fit, and drafts personalized cold emails that reference their specific work.