Platform

Hiring that compounds.

Most hiring resets to zero with every role. Ours keeps what it learns — so every hire makes the next one sharper and faster.

Home Platform Hiring
Why we built it

Hiring is the only thing a company does that starts over every time.

Every other function compounds. Code gets refactored, customers get understood, processes get better. Hiring doesn’t. The last search taught you something and it left with the person who ran it. The bar lives in someone’s head. The candidate you passed on in March is gone by June, and nobody knows why you passed.

Most hiring tools don’t fix this. They’re filing cabinets — they store what someone typed in and hand it back. The knowledge still leaks out the sides.

So we built our own, around the four things that have to be true for hiring to get better instead of resetting.

01
Clarity

Everyone agrees what strong means, before anyone is sourced.

02
Coverage

You see the whole field, not whoever happened to apply.

03
Context

What we learn about a person survives the person who learned it.

04
Compounding

Every hire makes the next one better.

01 · Clarity

Everyone means something different by “strong.”

Most hiring goes wrong here, quietly, before a single résumé is read. Nobody writes the bar down, so everyone interviews against their own — and six weeks later a good candidate is stuck between two people who never agreed what they were looking for.

The bar, written down
What this person owns, what great looks like, and what’s failed here before — written down as a scorecard, not left as a vibe in someone’s head.
The role, defined properly
Title, description, and screening questions built from the real requirement — so the posting reflects this job, not the last one that looked like it.
Scored against this role, not roles in general
Ten dimensions, each one specific to what you’re hiring for — never a generic template stretched to cover every role.
Nothing skipped
The process is enforced by the system, not by discipline — stages can’t be jumped or quietly dropped when someone’s in a hurry.
HMHIRING MANAGER

“Need a senior Java dev — someone who just gets payments and moves fast.”

TLTEAM LEAD

“Honestly — someone the team will actually listen to.”

INCOMMON · READING INTENT
“fast”ships unsupervised
“senior”owns systems end-to-end
“listened to”earns the team’s trust
SCORECARDLOCKED
Owns systems end-to-endMUST
Ships to prod unsupervisedHIGH
Earns the team’s trustHIGH
02 · Coverage

The field, not the funnel.

Applications tell you who happened to be looking, in the fortnight your post was up. The person you actually want is busy, employed, and not reading job boards. We’ve spent years building a pool of people worth knowing, and we add to it every day — so a search doesn’t begin with a search.

Ranked before you ask
Open a role and the best matches from the pool are already ranked and waiting. The search runs before anyone types anything.
Asked for the way you’d say it
“Java developers with fintech experience, five to eight years, in Austin.” It reads for meaning, so someone whose résumé says “payments infrastructure” surfaces without the word ever appearing.
Every referral tracked and credited
Partners submit people, follow them through, and always get the credit. The best people still come from someone who knows them.
Nothing sits in an inbox
Applications are pulled in, read, and scored before a recruiter has opened their mail.
OUTREACH AGENTAUTONOMOUS
Finds who fits — then reaches out, personally, at scale.
IdentifyPersonaliseSendFollow up
128 contacted31 replied
9 in conversation · replies drafted in your voice
APPLICATION BOARDS
APP-22918.1
APP-22886.4
APP-22847.9
Parsed & scored on arrival · 0 in inbox
REFERRALS
VM
V. Mehta · 3 referred
CREDITED
+ P. Shah just referred a candidate
4.2× hire rate · best source
SOCIAL INBOUND
LinkedIn & community interest, auto-triaged as it lands.
18 pinged · 5 qualified
TALENT POOL · LIVE
1,240▲ 12 today
4 channels feeding · refreshed daily
03 · Context

What we learn about someone shouldn’t leave with whoever learned it.

In most processes, everything real about a candidate lives in one recruiter’s head and one interviewer’s memory. So the fourth interviewer asks what the first already answered, the good reason someone was passed over is lost by the next quarter, and the whole thing has to be reconstructed from scratch.

Every résumé read properly, and read sceptically
Not transcribed. Read — including the parts that don’t add up. Titles inflated a level, timelines that don’t reconcile, skills claimed with nothing behind them.
Judgment with its workings shown
Every score says where the evidence came from and how sure it is. There’s a difference between “this is a weak candidate” and “there isn’t enough here to judge.”
Weak spots don’t get averaged away
One serious gap can’t hide behind nine strong areas.
Nobody walks into an interview cold
Every interviewer gets the candidate, what earlier rounds flagged, and what to probe — before they sit down.
CANDIDATE CONTEXTR. KRISHNAN
Built from every touchpoint — and it only deepens.
Craft depthSTRONGrésumé · R1 · R2
OwnershipMIXEDR2 · R3
TrajectoryRISINGrésumé · ref
Peer trustSTRONGreferral
Authenticity1 FLAGrésumé
Will stayLIKELYR1 · ref
CONTEXT COMPLETENESS82% · deepening
RÉSUMÉ
Read sceptically — flags surfaced.
ROUND 1
Depth confirmed. Notes on record.
ROUND 2
Ownership probed — split verdict.
REFERRAL
Backchannel: peers rely on them.
04 · Compounding

The fifth hire is better than the first.

This is the part that doesn’t exist anywhere else. Every hire teaches the system something about how you hire — what you say yes to, what you pass on, and why — and none of it leaves when someone changes job.

It changes its mind
When interview evidence lands, earlier assessments get revised against what people actually observed — and it records that it changed its mind, so you can see where the first read was wrong.
It learns which sources actually work
Not which produced the most candidates. Which produced the people you hired and kept.
It grades its own homework
The system measures whether its own scoring predicted who got hired. If its judgment isn’t any good, that shows up as a number rather than an opinion.
Your context stays yours
Every hire deepens what we know about your bar, your team, and what works here. By the fifth role we’re not guessing.
WHAT PREDICTS STRONG + STAYSRE-WEIGHTING
Every hire teaches it which signals actually held up — so the weights shift toward what predicts a strong hire who stays.
Ownership0.94
Trajectory / slope0.88
Craft depth0.81
Peer trust0.76
Years of experience0.34
Pedigree / brand0.21
CALIBRATION
0.89predicts who got hired
Recalibrated for your account · role 5
3 earlier reads revised & logged
The line

It has an opinion. It never gets a vote.

Everything on this page is a machine reading, scoring, drafting, and flagging — and then stopping. It never moves a candidate, sends a message, or makes a call. That’s a line we drew on purpose, not a feature we haven’t built yet.

What it does

It proposes.

Reads and scores every résumé against the bar
Ranks the pool and surfaces the few worth your time
Drafts what was said in an interview, as plain notes
Flags inflated titles, gaps, and timelines that don’t add up
What only you do

You decide.

Write every rating, in your own words
Move every candidate between stages
Send every message that reaches a person
Make the call — every time
Overridable

When you know better than the filter, the filter loses. Nothing is written to the record until a person accepts it.

Your data is yours alone

Your pipeline can’t touch another client’s. Every change is logged — who, what, before, after — and audit records are never deleted.

Candidates are treated like people

Rejections come from a person, by email — never a messaging app. Everyone you don’t hire still speaks well of your company.

Let’s talk

See it on a real role.

The fastest way to understand any of this is to watch it work on a role you’re actually trying to fill. Tell us what you’re hiring for, and we’ll show you.

Tell us what you’re hiring for

Our team runs the platform. You’ll see everything it sees on your roles.