ResearchClaw

Rating:

Rate it!

Overview

OpenClaw-powered agent that finds and ranks researchers from papers, writes plain-English hiring theses, and drafts cold emails referencing their work.

Visit website

Best For Professions:

recruiters talent acquisition founders cto r&d leaders product managers

Free credibility widget

Show prospects that ResearchClaw has a public place where they can check product details, pricing, ratings, and reviews.

Build confidence

Give buyers a third-party profile to explore.

Reduce hesitation

Put validation beside your strongest CTA.

Earn discovery

Every badge links prospects to your listing.

Choose your style

Preview it, then copy the complete embed code.

Live previewReady to embed

Shows buyers where to validate your product, pricing, and reputation.

Plain HTML. No signup, script, or maintenance required.

ResearchClaw is an OpenClaw-powered research hiring agent that helps teams identify academics whose published work matches a specific product or AI use case. You describe your use case in plain English, and the system decomposes it into structured queries, pulls papers and author metadata from sources like Semantic Scholar, arXiv, and OpenAlex, and ranks candidates using embedding similarity combined with citation- and recency-weighted scoring. It then generates an LLM-written hiring thesis for each researcher (translating academic jargon into product-relevant reasoning) and drafts hyper-personalized cold emails that reference specific papers and contributions, with options like CSV export and outreach automation.

Autonomy level

62%

Reasoning: It takes a single high-level input (your use case) and runs a multi-step pipeline: query decomposition, multi-source retrieval, ranking, summarization, and outreach drafting. It produces structured outputs (ranked researchers, theses, emails, CSV export) with limited further user steering. It does not clearly indicate it can autonomously execute lo...

Comparisons

Custom Comparisons

Some of the use cases of ResearchClaw:

Finding researchers whose published work directly aligns with your technical product challenge.
Ranking candidates using embedding similarity with citation- and recency-weighted scoring.
Converting dense academic work into plain-English hiring theses tied to your use case.
Drafting personalized outreach emails that reference specific papers and contributions.

Loading Community Opinions...

Pricing model:

free

Code access:

open-source

Popularity level: 9%

Industries:

Research Recruiting Software Development Business Automation

Tags:

academic search researcher discovery semantic search embedding similarity cosine similarity citation-weighted scoring hiring thesis cold outreach arxiv search openalex

All AI Agents

Make it work for you

Describe the job. Get an AI worker you can actually message.

We create the setup, keep it running after your laptop closes, and save its memory. Test in the browser, then add Telegram, WhatsApp, or Slack.

Runs without your laptopBrowser + messaging appsBackups and clonesMemory survives restarts

Describe my agent See the launcher

Plans start at $29/month. Cancel anytime.

Hosted agent

OpenClaw or Hermes

saved state

Browser

Slack

“I checked the inbox, handled the routine messages, and sent you the one question that needs a decision.”

Create an AI worker that keeps running after this tab closes.

Open Agent Factory

Did you find this page useful?

Not useful

Could be better

Neutral

Useful

Loved it!