Stitch vs Jack & Jill

Jack & Jill and Stitch both use AI to take the grind out of hiring, but two things set them apart: the pool they draw from, and the intelligence that decides who is actually worth meeting. Jack & Jill is a two-sided marketplace: candidates sign up and work with Jack, an AI career agent, and companies work with Jill, who makes warm introductions from Jack's network. It has recently bolted on a search that looks beyond that network too, but it is a surface-level match, not a model of your company. Stitch is not a marketplace. It searches the live internet for the right person for your role, whether or not they have ever heard of Stitch, then scores everyone it finds with a custom model trained on your company.

Both differences compound. The pool decides who you can reach at all, and the people you most want are often the least likely to have signed up. The scoring decides who, out of the hundreds of thousands Stitch considers, actually lands on your calendar.

The short version

• The pool. Jill's warm introductions come only from candidates in Jack's network. Stitch can reach anyone on the internet, whether or not they have signed up to anything.
• Who is in it. A marketplace fills with people who chose to be found, which means people who are open to moving. The people you most want often are not.
• Reach. Jack & Jill leans heavily on its opt-in network, with a shallow search added on top. Stitch searches over a billion profiles live, with deep data gathered for every role.
• Outcome. Jill sends you matches from her network. Stitch finds, scores, and books candidates from the whole market on your calendar.

At a glance

How each one actually works

Jack & Jill is a marketplace: candidates sign up to Jack, and Jill introduces you to the ones already in the network, with a search bolted on to look beyond it. That search is a basic match over public profiles, not a model of your company. Stitch is not a marketplace. It trains a model of your company and keeps it at the center of the whole loop: learning who you are, searching the world live for the people who never signed up, and reaching out, with every result feeding back in.

The warm-intro pool is everyone who signed up

A marketplace's warm introductions have the same hard limit: they can only come from the people who joined it.

Jack gives candidates an AI career agent, and Jill makes warm introductions from that network, candidates who have already raised their hand. If the person you want is in Jack's network, that is a fast way to meet them.

But joining a career agent is an act of looking. Jack's network, by its nature, is made of people who are open to moving and chose to be found. The person you most want to hire, the one who is heads-down, shipping, and perfectly happy, did not sign up. They have probably never heard of Jack, or Jill, or any hiring platform, and a warm introduction can only happen with someone who is actually in the pool.

Jack & Jill has recently added a search that looks beyond its network. But it is a shallow search bolted onto a matching product: it ranks public profiles by a surface match, the same way for every company, with none of the depth of data gathered fresh for your role or a model trained on what great looks like at yours.

Reach: a bolt-on search vs deep live data

Stitch starts from the opposite place. There is no sign-up list. For each role, Stitch decides who it should be looking for, then deploys the Stitch Swarm: thousands of autonomous agents that go out across the live internet and gather candidate data in real time, wherever a person's footprint actually lives. It searches across more than a billion profiles, none of whom had to join anything.

That is how Stitch reaches the candidates who are not looking. It does not wait for them to show up. It finds them where they already are, and reaches out from your own accounts, as a real person at a company they will find compelling, because the people you actually want to hire ignore agency recruiters but reply to compelling people at compelling companies.

Scoring: matching a network vs a model of your company

Jack & Jill makes a surface-level match, off what a candidate said about themselves at sign-up or a thin public profile. Stitch scores every profile it finds against your company specifically, with a custom model trained on your roles and your decisions, and surfaces only the top 0.1% for your role. The scoring engine was built by our founding team, ML engineers from Microsoft and Google with 17 AI patents between them. You get reach across the whole market and a bar set to your company, not to whoever happened to sign up. And because it considers hundreds of thousands of people per role, far more than any team could review by hand, the quality of that scoring decides who you ever get to see.

Outreach: warm intros vs reaching the unreachable

Jill makes warm introductions inside the network when the match is there. Stitch reaches people who are not in any network. It writes the outreach from a messaging template you approve, sends it from your team's own accounts, and books the interview on your calendar. Because it comes from a real, senior person at your company, the kind of note a founder or department head would send, rather than a platform, the people Stitch reaches reply. And because each candidate is scored against your bar, the interviews it books are high quality: customers accept around 90% of them.

It gets better with every interaction

A marketplace adds candidates as they sign up, but the pool also goes stale: people stop using it, drift away, and let their profiles fall out of date. Your Stitch model gets sharper as you use it. Every scoring review, every declined meeting, every interview transcript, and every piece of post-interview feedback trains your custom model on what great looks like at your company. The model is sharper after your hundredth decision than it was after your first, and it is yours alone.

And it does not stop at the booking. Stitch helps your team prepare for each interview, supports you live as it happens, and helps with the decision afterward. Every interview signal then feeds back into your model, so the next role is sharper than the last.

So which should you choose?

If you want a fast way to hire from a pool of candidates who have opted in and are open to moving, Jack & Jill is built for both sides of that match.

If the people you want are not looking, and so were never going to sign up to a marketplace, you have to go and find them. That is what Stitch was built to do.

You can start a 14-day trial and see real candidates on your calendar before you decide. Most customers only pay on a successful hire.

FAQ

Isn't a curated marketplace higher quality than searching the whole internet? A curated pool sounds higher quality, but it is still built from the people who chose to sign up, and signing up is an act of looking. The candidates you actually want to hire are often not looking, so they are not in the pool at all, no matter how well curated it is. Stitch searches the whole market and then applies a custom model to surface only the top 0.1% for your role, so you get both reach and a high bar.

Doesn't Jack & Jill search the internet now too? It has added a search beyond its network, but it is a shallow match over public profiles, run the same way for every company. Stitch gathers data fresh for each role and scores it with a model trained on your company, so even where the two overlap, what Stitch surfaces is deeper and ranked to your bar.

Can Stitch reach passive candidates who have never heard of us? Yes, that is the point. The Stitch Swarm finds people wherever their data lives, and outreach goes out from your own accounts, so a candidate does not need to have joined anything or heard of Stitch to end up on your calendar.

Do candidates have to be on a platform for Stitch to contact them? No. Stitch reaches candidates through your team's own accounts, the same way a thoughtful person would, not through a marketplace they had to join.