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Jellyfish

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Jellyfish is an AI talent sourcer for staffing agencies. It turns client requirements into evidence-backed candidate searches, outreach, inbox handling, and recruiter-ready follow-up.

What is Jellyfish?

Jellyfish is an AI talent-sourcing system for staffing agencies, centered on an AI sourcer named Amy. Amy turns client briefs and hiring-manager tradeoffs into ranked search plans, researches candidates, explains matches with role-specific evidence, and carries the original client context through outreach, replies, and updates.

The product is designed to cover the operational path from intake to qualified candidate conversations. It searches sources such as GitHub, Google Scholar, open-source projects, technical communities, portfolios, talks, patents, and other open-web signals, then gives recruiters and hiring managers evidence to review rather than relying only on standard resume data.

Amy also supports the ongoing coordination work around a search: preparing personalized outreach, managing candidate inboxes, answering routine questions, routing strong replies, and preparing client or hiring-manager updates. Feedback and hiring-manager decisions can be applied to sharpen later searches.

What can Jellyfish do?

Client brief translation

Converts conversations, job requirements, and hiring-manager tradeoffs into a ranked search plan with must-have, strong-signal, and flexible criteria.

Evidence-based talent research

Searches GitHub, Google Scholar, open-source projects, technical communities, and other open-web sources to find technical work, research, and current career signals.

Role-specific candidate qualification

Explains why a candidate matches a brief by connecting their work, research, experience, or recent activity to the requirements recruiters and hiring managers need to assess.

Personalized outreach and inbox handling

Prepares outreach sequences, manages candidate replies, answers routine questions, and keeps next steps visible for recruiter follow-up.

Recruiter and client coordination

Routes qualified replies, prepares hiring-manager updates, and keeps client context attached to candidate decisions and ongoing search activity.

Feedback-driven search refinement

Uses hiring-manager decisions and recruiter notes to sharpen the search and improve the relevance of later candidate results.

Use Cases

“Turning an intake call into a sourcing plan”

An agency can give Amy a client brief, job description, or hiring-manager discussion and receive a structured plan that separates essential requirements from useful but flexible context.

“Finding technical talent outside common databases”

For engineering, research, and infrastructure searches, teams can investigate GitHub, Scholar, open-source work, communities, and other public evidence to identify people whose capability may not be obvious from a resume search.

“Preparing candidates for recruiter review”

Recruiters can use match explanations and supporting evidence to decide which prospects deserve outreach or handoff, instead of reviewing an undifferentiated list of names.

“Keeping candidate conversations moving”

Amy can prepare personalized messages, monitor replies, answer routine candidate questions, and surface interested candidates or questions that require human attention.

“Maintaining alignment with hiring managers”

Agency teams can use prepared updates and preserved client context to show search progress, communicate qualified replies, and incorporate changing priorities into the next search iteration.

Frequently Asked Questions

Who is Jellyfish designed for?

Jellyfish is positioned for staffing agencies and their recruiting teams. Its workflow supports agency sourcing, candidate outreach, recruiter handoff, and communication with hiring managers.

What information can Amy use to start a search?

The source describes client briefs, job requirements, calls, and hiring-manager tradeoffs as inputs. Amy turns these into a search strategy with clarified requirements and a ranked plan.

Where does Jellyfish look for candidates?

The product says it searches GitHub, Google Scholar, open-source projects, technical communities, portfolios, talks, patents, and other open-web sources. The available material does not provide a complete list of connected platforms or integrations.

Does Amy replace recruiter judgment?

The described workflow keeps recruiters and hiring managers involved for evidence review, judgment calls, handoffs, and next steps. Amy handles research and routine operational work while surfacing decisions and qualified replies for the team.

What happens after a candidate replies?

Amy can answer routine questions, summarize or surface the reply, route strong candidates to the appropriate recruiter, and prepare next steps or hiring-manager updates. Specific output formats and team permissions are not described.

Quick Facts

Product type
AI talent sourcing
Primary users
Staffing agencies and recruiting teams
Core workflow
Client brief to qualified candidate reply
Named AI sourcer
Amy
Research sources
GitHub, Google Scholar, open-source projects, communities, and the open web
Website
vibeonly.ai

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