A voice-first job application agent. Neither side moves until both prove who they are.
Say “find me backend internships.”
Voice-first applications
Verified employers, or we refuse
Matched on skills and coursework
Agent-to-agent apply
Auto-tailored resume and cover letter
Domain-anchored identity
Screen-reader and keyboard native
Human approval before anything sends
Live application analytics
Skill-gap insight
Voice mock interviews
Every handshake audit-logged
Voice-first applications
Verified employers, or we refuse
Matched on skills and coursework
Agent-to-agent apply
Auto-tailored resume and cover letter
Domain-anchored identity
Screen-reader and keyboard native
Human approval before anything sends
Live application analytics
Skill-gap insight
Voice mock interviews
Every handshake audit-logged
Scroll
How it worksstudent speaks or types → agents act → verified apply, or an out-loud refusal
Profile agent
Gemini · Databricks
01Understand you
Upload your resume. It reads it properly.
Understands the real PDF — columns, tables and all
Remembers every fact, and where it came from
Tells you what is still missing
Gemini
reads the PDF itself, not scraped text
Databricks
stores your profile — nothing overwritten
Voice agent
ElevenLabs Agents
02Understand you
Just talk. It handles the rest.
Interrupt it mid-sentence, like a real conversation
Two voices — an assistant, and an interviewer for practice
Anything you can say, you can also type
ElevenLabs Agents
the whole conversation, voice in and voice out
Job sourcing
Databricks · career-ops (MIT)
03Find the work
Real openings, straight from the source.
Reads Greenhouse, Lever and Ashby directly — no scraping
Drops closed roles before they waste your time
Keeps the intern and entry-level jobs students want
Databricks
every posting stored once, never rewritten
career-ops (MIT)
99 job-board readers
Match agent
Databricks
04Find the work
Ranked against your skills and your coursework.
Tells you why a job fits, not just a score
Shows exactly which skills you are missing
Flags postings that are not real
Databricks
embeddings and fit scoring in SQL
Tailor agent
Databricks
05Find the work
A resume, cover letter and email for each job.
Written for that one posting, not from a template
Every claim checked against your real profile
Nothing invented, ever
Databricks
the whole packet in a single call
Applicant agent
GoDaddy ANS
06Prove who is real
Checks the employer is real before sending anything.
Confirms the company owns the domain it claims
Scores them on five things, each with a reason
You approve before a single detail leaves
GoDaddy ANS
verified, domain-anchored agent identity
Employer agent
GoDaddy ANS · Vultr
07Prove who is real
Employers meet people, not bots.
The checks run in both directions
Fake applicants stop at the door
GoDaddy ANS
identity verified both ways
Vultr
hosts the employer agent
Audit console
MongoDB Atlas
08Prove who is real
A record of everything, including what we refused.
Every decision logged, permanently
Exactly which details went where
Watch live attacks get blocked
MongoDB Atlas
the permanent audit log
Funnel analytics
TigerData
09See what works
The first honest look at your job search.
Where every application stands, live
Which roles reply, and which never do
Apply sooner, hear back more
TigerData
real-time application tracking
The guarantees
Always
10Always
Four rules we do not break.
Nothing sends until the employer is verified
A refusal sends zero information
Every score comes with a reason
You click apply — not us
Why HireWire?
Applying to forty jobs costs a sighted student twelve hours of clicking. On a screen reader it is closer to impossible. And a share of the postings that reach either of you are not real at all.
Both sides of a hire should have to prove who they are before anything private changes hands. Here, both sides do.
FOR STUDENTS
Apply with your voice.
Your agent reads your resume and your coursework, finds the roles that actually fit, and writes the materials for each one. Then it checks the employer is real — and refuses out loud if they cannot prove it. Start to finish without touching a mouse.
Publish a role once and let your agent answer for it. Every application arrives from an agent with a domain-anchored, certificate-backed identity, so the fake-applicant flood stops at the door and your day goes back to reading real candidates.