Greenhouse Strawberry

Automate your Greenhouse screening with an AI agent

Get 214 weekend applications read by 9:04 on Monday and shortlisted 20 per role, with the reason under every name. Greenhouse is a native integration, so nothing is scraped.

214 applications landed since Friday across six open roles. At four minutes each that is two days of reading before you speak to anybody.

A companion reads all 214 in one pass. It opens each profile, opens the attached resume, opens the portfolio link, pulls the scorecards interviewers already filed, and comes back with 20 per role and a reason under each name. It moves nobody between stages and emails no candidate.

Read 214 applications by 9:04 on Monday

The companion lists applications across the six live jobs for the weekend window, then pulls each candidate record. Greenhouse returns applications and attachments inline, so the resume arrives with the profile.

It opens the resume, the repository and the portfolio in a real browser session rather than a parser that gives up on a two-column PDF. Then it posts what it found as a note on the activity feed, at the visibility you pick. Pulling structured fields out of unstructured files is the data extraction pattern.

What can a companion touch in Greenhouse?

Seven reads and two writes. The reads cover the whole pipeline. The writes wait for you.

  • Reads: jobs, the individual openings on a job and their close reasons, candidates, applications, scheduled interviews, interview scorecards, and the user directory.
  • Writes: create a candidate with an initial application on a named job, and post a note to a candidate’s activity feed. Both wait for your approval.
  • Absent on purpose: stage moves, rejections, scheduling, and anything that emails a candidate. Those stay in Greenhouse with a human clicking.
  • Both writes are performed as a real Greenhouse user id, so every note that lands carries a recruiter’s name.

How do I summarise four interview scorecards?

Ask for the scorecards on one application. A companion reads all four before the debrief opens.

It lays out where the panel genuinely disagreed: the two interviewers who flagged the same shaky system design answer, the one who scored communication two points above everyone else. It quotes them rather than paraphrasing, so you argue with the source.

That saves ten minutes of four people reading attribute tables off a shared screen while a candidate waits in a Zoom room. The hire decision stays in the room.

Get the evidence that lives outside the ATS

The resume whose real proof is a linked repository. The candidate whose last two years are only legible from public work. The hiring-manager brief that needs three sources and forty minutes. A companion goes and gets all of it, alongside the recruiting workflows you already run.

Greenhouse stays the record. Approvals, offer workflow, EEOC and audit reporting, and scheduling all run on data the platform owns, and this integration feeds those reports better inputs.

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Frequently asked questions

Yes. A companion reads applications, candidate records and attachments natively, opens the linked portfolios in the browser, and posts what it concluded as a note on the candidate. It rejects nobody and moves nothing between stages, because no tool in the integration does either.

Strawberry is free to download and includes AI credits to start. Paid plans begin at $20/month. See pricing. · Reviewed · Canonical facts for AI agents

Experience Strawberry for free

Download

Trusted by fast-growing companies worldwide