Maya Okafor
Platform Lead · 40-person Series A fintech
Built K8s from scratch at a 40-person Series A. On-call owner for 18 months. PagerDuty at 2am, not just in the job title.
Halloway · Recruiting intelligence platform
Halloway isn't. It understands careers, not just profiles. It learns from every hire your team has ever made. And it tells you why someone fits, not just that they do.
Describe who you want. Get a match label with a plain-English reason. Watch the results get sharper every time a hiring manager says yes or no.
< 5 min
Found to messaged
London
market mapped entirely
4s
ICP from JD via AI
Compounds
with every yes, no, and reply
What you're used to
What Halloway does differently
What you're used to
Keyword search over a profile index
What Halloway does differently
Search that understands what someone actually built and when
Keyword search over a profile index
Search that understands what someone actually built and when
What you're used to
A score with no explanation
What Halloway does differently
A match label with a plain-English reason attached
A score with no explanation
A match label with a plain-English reason attached
What you're used to
A snapshot of who someone is today
What Halloway does differently
A career modelled over time, queryable at any point
A snapshot of who someone is today
A career modelled over time, queryable at any point
What you're used to
Filters you configure and maintain
What Halloway does differently
A model that learns from every real hire your team has made
Filters you configure and maintain
A model that learns from every real hire your team has made
What you're used to
Email blast to a shortlist
What Halloway does differently
Outreach written around what the platform actually knows about that specific person
Email blast to a shortlist
Outreach written around what the platform actually knows about that specific person
In-house recruiters
The brief lands Monday. You need the shortlist by Thursday. Halloway truly understands your org and gets you there without the tab-switching.
Agency consultants
All of your roles, all of your clients, one dashboard. Per-client signal that compounds the longer you work with them.
01 · Search, rebuilt
The difference is concrete: “has Kubernetes on their profile” versus “built Kubernetes from scratch at a 40-person Series A, owned on-call for 18 months, never worked at an enterprise.” Same search. Completely different result.
halloway · Head of Platform — Q3
ICP active
Prompt
Platform engineer who has owned on-call at a Series A → B fintech in London, Kubernetes from scratch, no enterprise-only backgrounds.
Results · 34 candidates
graph traversal · 412 ms
Platform Lead · 40-person Series A fintech
Built K8s from scratch at a 40-person Series A. On-call owner for 18 months. PagerDuty at 2am, not just in the job title.
Staff SRE · Series B payments
Reliability obsessive archetype. Go expert, on-call at scale. No enterprise-only background.
02 · Reinforcement
Every time a hiring manager clicks yes or no, Halloway updates what it knows about what works for your team. Not rules you write. Signal from real decisions.
We map your current team. The graph models who you have, who thrives, who left, who you promoted.
We map your client's team. RL is calibrated per-client — Stripe's signal is not WeWork's signal.
Every project carries its own ICP and its own RL state. The signal compounds.
'RL using Stripe placement history (2 prior + 4 this project).' You see exactly what's calibrating.
ICP · Head of Platform — Q3
RL active · 7 signals
Kubernetes (demonstrated)
0→1 builder archetype
On-call ownership
AWS certifications
Enterprise-only background
● CTO clicked Yes on Maya Okafor → Kubernetes demonstrated confidence rose to 94%. 0→1 builder weight up. Two new candidates entered the top 5.
03 · Talent graph
Not just where someone works today. What stage the company was at when they joined. Who they reported to. What they actually built. How that changed over three years. Halloway can find who someone was becoming, not just who they are right now.
Career view · Maya Okafor
Maya Okafor
Person
Monzo
Series A · 32 people
CTO
Reports to
On-call lead
Within 8 months
Platform & K8s
What she shipped
Series C
When she left
2021
Joined · Series A
2022
On-call lead
2024
Left · Series C
Maya joined Monzo at Series A (32 people). Became on-call lead within 8 months. Reported to the CTO. Left at Series C. Confidence: 0.94.
That's a different candidate than “Senior Platform Engineer at Monzo.”
04 · Platform
Search, projects, dynamic ICP, extension, outreach, email unlock, and ATS sync. The entire path from brief to message in one workflow. No tab-switching.
Projects
Every hire is a project: ICP, pipeline, outreach, RL. Re-open it months later and the platform remembers.
ICP · Pipeline · Outreach · RL
Dynamic ICP
Paste a JD or describe the role. Halloway extracts the profile, exclusions included, in seconds.
JD upload · Free text · Kickoff notes
Chrome extension
Browse LinkedIn. Know instantly if they're in the graph, which projects they match, and their label. No new tab required.
MV3 · Sidebar · One-click sync
Outreach
Sequences from Gmail and Outlook. Every draft references what the platform knows about that candidate, not a mail-merge.
Email unlock
Find verified email addresses for the candidates you've already shortlisted. No wasted lookups on people who don't fit.
ATS sync
Match label and explanation travel with every candidate to Greenhouse, Ashby, Bullhorn, and 30+ more.
05 · Agency mode
You already know who your clients hire. Halloway just makes that knowledge computable.
Retained for Stripe again? The project opens with your prior placements already mapped, Stripe's team already understood, and the model tuned to what actually placed there. You're not starting from zero. You're starting from 80% done.
Project · Head of Engineering — Stripe
Stripe-calibrated RL
Client signal
RL using Stripe team graph · 2 previous placements found in your history. ICP weights pre-tuned to Stripe's known engineering profile.
Sourced
52
Contacted
30
Replied
11
Exclusions honoured
Hiring lead: “No one who needs a lot of process to do great work.” → 8 candidates suppressed before surfacing.
06 · Pricing
The founding cohort shapes the roadmap directly. We ship weekly and every member gets a direct line to the team building it.
Founding pricing is annual, billed up front, and locked for as long as you stay.
Seed
£1,250
per month, billed annually + VAT
0–25 employee startups and boutique tech agencies. The founder seat.
12–18 month tier · auto-graduates to Base at renewal
Base
£2,500
per month, billed annually + VAT
Series A, 26–100 employees. The default tier for in-house talent teams.
Most popular · everything Seed has, more headroom
Enterprise
Custom
Series C+, multi-region, regulated
Multi-team, multi-region. Data residency. Dedicated support.
EU/UK + US residency · SAML SSO · custom DPA
GDPR and CCPA compliant · UK and US data residency
Get early access
Founding members get locked pricing, founder-level onboarding, and a direct line to the team building it. Book a demo. We ship weekly.
Opens our scheduler in a new tab. No newsletter, no spam.