HireRoom
00/06
The instrument, up close

The instrument, up close.

Six parts of one workflow: find the role, prove the fit, tailor from evidence, prepare for the room, read the sponsorship context, and submit with your own review. Each one shows its work and its limits.

01/06
Discovery

Search the market with the evidence attached.

Every match card shows the sentence of your history it was computed from.

You
Search by title, company, keywords, or place.
HireRoom
Ranks the pool by evidence fit and shows the citation.
Result
A shortlist you can audit, not a score you have to trust.

A match score is decision support, not a hiring prediction.

Search + cardDemo workspace
KeywordsJob titleCompanyCityStateCountry
Senior Software Engineer, Data Platform
Databricks · San Francisco / Remote (US)
EVIDENCE › “Scaled Spark pipelines to 40 TB/day across 300 nodes”: your resume, line 12
◆ H-1B · 214 LCAsASHBY · 2H AGO$184k–$232k

FIT PENDING LABELS STAY HONEST UNTIL A SCORE IS COMPUTED · DEMO WORKSPACE

02/06
Job Room

One room per role, with the next action visible.

Fit sub-scores, the evidence panel, and the stage your application is actually in.

You
Open a saved job.
HireRoom
Breaks the fit into sub-scores and keeps status and next action in one place.
Result
You always know what the room knows, and what happens next.

Public employer history does not guarantee future sponsorship.

Job RoomDemo workspace
Experience96
Skills90
Industry88
Evidence panel: 3 strong matches, 1 gap flagged in plain language.
Status: AppliedNext: follow up Friday →

EVERY SCORE DECOMPOSED · DEMO WORKSPACE

03/06
Resume Studio

A diff, not a black box.

Every tailored change is reviewable, reversible, and traced to your proof bank.

You
Tailor a master resume against one role.
HireRoom
Rewrites only against your verified history and shows the diff.
Result
A sharper resume you can defend line by line, then export.

It must not invent experience: if a claim is not in your proof bank, it does not appear.

Resume diffDemo workspace
BASE · LINE 12

Worked on data pipelines using Spark and some scheduling tools

TAILORED

Scaled Spark pipelines to 40 TB/day across 300 nodes, cutting job latency 38%

EVERY EDIT BOUND TO YOUR REAL HISTORY | NOTHING INVENTEDExport ↓

MASTER → TAILORED, LINE BY LINE · DEMO WORKSPACE

04/06
Interview Lab

Practice the loop before it counts.

Prompts, timed answers, a rubric, and your own story bank to answer from.

You
Pick a question and answer out loud, on the clock.
HireRoom
Scores the answer against the rubric and points at the gap.
Result
Rehearsed stories with structure, not memorized scripts.

Coaching guidance, not a hiring forecast.

Practice sessionDemo workspace

“Tell me about a time you changed a technical direction mid-project.”

01:32
Structure
strong
Specifics
strong
Close
work on it

Answer from your story bank, not from a script.

RUBRIC-SCORED · DEMO WORKSPACE

05/06
Sponsorship

Work-authorization context, from public data.

Employer filing history and your own OPT or STEM-OPT countdown in one place.

You
Check an employer, or sign in with your dates.
HireRoom
Shows public DOL LCA history and computes your remaining days from your dates.
Result
Decisions made with evidence instead of hope.

Historical filings do not guarantee future sponsorship; this is not legal advice.

Visa intelligenceDemo workspace
OPT days remaining (computed from your dates)247
SourceDOL LCA filings · 2024 Q4 – 2026 Q2

PUBLIC DOL LCA FILINGS · SAMPLE FIGURES

06/06
Extension

Autofill that stops at your review.

Greenhouse, Lever, and Ashby forms filled from your profile, then handed back to you.

You
Open a supported application form.
HireRoom
Fills the supported fields and marks anything it cannot verify.
Result
You read it, you fix what needs fixing, you submit.

It prepares supported fields; you review and submit.

AutofillDemo workspace
Full namefilled from profile
Work historyfilled from proof bank
Sponsorship questionmarked for your review

SmartRecruiters, Workable, and BambooHR ship only when they pass QA. Workday is deferred until it works properly.

GREENHOUSE · LEVER · ASHBY | ONE CLICK · EVERYTHING ELSE DEFERRED UNTIL IT PASSES QA

07/07
Recap

Built like an instrument, not a feed.

Resume Studio

A diff, not a black box.

BASE · LINE 12

Worked on data pipelines using Spark and some scheduling tools

TAILORED

Scaled Spark pipelines to 40 TB/day across 300 nodes, cutting job latency 38%

EVERY EDIT BOUND TO YOUR REAL HISTORY | NOTHING INVENTED

Free while you try it. Pro and Premium when you need the heavier machinery.

See pricing Or start free