Stitch · Blog
Ideas on the future of hiring
How recruiting is changing, what we are building, and the thinking behind it. From the team building the model that learns your company.
Stitch vs Jack & Jill
Jack & Jill is a two-sided marketplace: Jill recruits from Jack's limited network of candidates who signed up to be found. Stitch searches the live internet for the people you actually want, whether or not they have signed up anywhere, and books them on your calendar.
Cameron StowellJune 17, 20266 min readStitch vs Dex
Dex is an AI talent agent that engineers sign up to, then matches to companies. Stitch searches the live internet for the best people for any role, whether or not they have signed up anywhere, scores them to your bar, and books them on your calendar.
Alex WilsonMay 20, 20266 min readRecruiting outreach that actually gets replies
The best candidates get a flood of agency recruiter messages and delete them on sight. Getting replies from people who are not looking is less about wording and more about who the message comes from and why it is worth their time.
Sam LewisMay 6, 20265 min readHow to hire at scale-up speed without lowering the bar
Hiring fast usually means quality slips: inbound can't keep up and the bar drifts across recruiters and roles. You can hold the line by filling pipelines with outbound and scoring every role against one consistent model.
Alex WilsonApril 29, 20266 min readStitch vs Juicebox
Both use AI to find candidates, but they are built on opposite foundations. One queries a pre-built index shared across customers. The other deploys thousands of agents to search live, then trains a model that knows exactly what great looks like at your company.
Sam LewisApril 22, 20267 min readStitch vs Gem
Gem organizes and automates the recruiting your team already runs, now with AI sourcing and scheduling. Stitch is the recruiter: it finds candidates live, scores them with a model trained on your company, and books the interviews.
Sam LewisApril 15, 20266 min readHow to source passive candidates who aren't looking
The people you most want to hire are not applying anywhere. Sourcing passive candidates is the skill of finding them and getting them to take a call anyway. Here is how it works, and how to do it at scale.
Sam LewisApril 8, 20266 min readGive your recruiters their time back
Sourcing and outreach are the parts of recruiting easiest to automate, and they eat into the week. Automate the engine and your recruiters get back to the work only they can do: relationships, hard searches, and closing.
Alex WilsonMarch 25, 20265 min readStitch vs SeekOut
SeekOut built a database you search with filters. Stitch runs a fresh live search for every role, scores with a model trained on your company, and reaches out to book the interview. Different at the very first step.
Cameron StowellMarch 20, 20266 min readHow to hire your first engineer as a startup founder
The engineers you want are not applying to an early-stage startup they have never heard of. Hiring your first engineer is a founder-led, outbound job. Here is the approach that worked for us.
Alex WilsonMarch 13, 20266 min readStitch vs hireEZ
hireEZ pairs an aggregated database with outreach automation and a layer of agents. Stitch was built AI-native from the ground up: it searches live, scores with a custom model trained on your company, and books the interviews.
Alex WilsonMarch 11, 20266 min readHow to scale hiring without scaling your team
The usual way to hire more is to hire more recruiters. There is another way: automate the highest-volume parts of recruiting so each person, founder or recruiter, does far more. It works whether or not you have a team.
Alex WilsonFebruary 24, 20266 min readStitch vs Eightfold AI
Eightfold brings a shared talent model and an enterprise suite. Stitch trains a model from the ground up on your company, searches live for every role, and books the interviews. Built for speed, not a long rollout.
Romain ReyFebruary 10, 20267 min readWhy the best candidates don't apply (and what to do about it)
If you have ever posted a great role, gotten a pile of applications, and wanted none of them, you have hit the central problem of modern hiring: the best candidates don't apply. Understanding why points straight at the fix.
Alex WilsonOctober 28, 20255 min readHow Stitch's custom model learns your company
Stitch does not rely on generic filters. It trains a model on your company, surfaces the top 0.1% for your role, and gets sharper with every decision you make. Here is how that works.
Romain ReyOctober 14, 20256 min readIntroducing the Stitch Swarm
The Stitch Swarm is our data engine. Imagine one person searching the internet for candidates by hand, then multiply that by thousands. Here is what it is, where the data comes from, and why competitors can't match it.
Romain ReySeptember 30, 20255 min readWe built Stitch to hire our own team
Stitch was built by ML engineers to solve our own hiring. It got us five to ten qualified interviews a day and our first engineer, from AWS, in two weeks. Then we turned it into a product.
Alex WilsonSeptember 16, 20256 min read