The design roles I wanted were spread across 133 company job boards, on four different systems.
The design roles I wanted were spread across 133 company job boards, on four different systems.
The design roles I wanted were spread across 133 company job boards, on four different systems.
The design roles I wanted were spread across 133 company job boards, on four different systems.
The design roles I wanted were spread across 133 company job boards, on four different systems.
The design roles I wanted were spread across 133 company job boards, on four different systems.
Checking them by hand meant a role could sit open for days before I saw it.
Checking them by hand meant a role could sit open for days before I saw it.
Checking them by hand meant a role could sit open for days before I saw it.
Checking them by hand meant a role could sit open for days before I saw it.
Checking them by hand meant a role could sit open for days before I saw it.
Checking them by hand meant a role could sit open for days before I saw it.
I built a workflow of agents that check every board each morning and hand me what's new.
I built a workflow of agents that check every board each morning and hand me what's new.
I built a workflow of agents that check every board each morning and hand me what's new.
I built a workflow of agents that check every board each morning and hand me what's new.
I built a workflow of agents that check every board each morning and hand me what's new.
I built a workflow of agents that check every board each morning and hand me what's new.
I wanted to know about a role the morning it opened, without opening a single board myself.
I wanted to know about a role the morning it opened, without opening a single board myself.
I wanted to know about a role the morning it opened, without opening a single board myself.
I wanted to know about a role the morning it opened, without opening a single board myself.
I wanted to know about a role the morning it opened, without opening a single board myself.
I wanted to know about a role the morning it opened, without opening a single board myself.
I built it in Gumloop: one agent finds boards, one watches them, one sorts the roles, one packages them.
I built it in Gumloop: one agent finds boards, one watches them, one sorts the roles, one packages them.
I built it in Gumloop: one agent finds boards, one watches them, one sorts the roles, one packages them.
I built it in Gumloop: one agent finds boards, one watches them, one sorts the roles, one packages them.
I built it in Gumloop: one agent finds boards, one watches them, one sorts the roles, one packages them.
I built it in Gumloop: one agent finds boards, one watches them, one sorts the roles, one packages them.
Three run as a daily chain (starting with board watch). When I have new companies I want to keep an eye on, I manually trigger Discovery.
Three run as a daily chain (starting with board watch). When I have new companies I want to keep an eye on, I manually trigger Discovery.
Three run as a daily chain (starting with board watch). When I have new companies I want to keep an eye on, I manually trigger Discovery.
Three run as a daily chain (starting with board watch). When I have new companies I want to keep an eye on, I manually trigger Discovery.
Three run as a daily chain (starting with board watch). When I have new companies I want to keep an eye on, I manually trigger Discovery.
Every morning I get a list of what changed: new jobs, and ones that have closed.
Every morning I get a list of what changed: new jobs, and ones that have closed.
Every morning I get a list of what changed: new jobs, and ones that have closed.
Every morning I get a list of what changed: new jobs, and ones that have closed.
Every morning I get a list of what changed: new jobs, and ones that have closed.
Every morning I get a list of what changed: new jobs, and ones that have closed.
Each role that passes screening comes with a .job file holding everything I need to review it.
Each role that passes screening comes with a .job file holding everything I need to review it.
Each role that passes screening comes with a .job file holding everything I need to review it.
Each role that passes screening comes with a .job file holding everything I need to review it.
Each role that passes screening comes with a .job file holding everything I need to review it.
The zip goes into my local pipeline, which reads each posting, fills in what it already states, then has three separate agents score how well it fits.
The zip goes into my local pipeline, which reads each posting, fills in what it already states, then has three separate agents score how well it fits.
The zip goes into my local pipeline, which reads each posting, fills in what it already states, then has three separate agents score how well it fits.
The zip goes into my local pipeline, which reads each posting, fills in what it already states, then has three separate agents score how well it fits.
The zip goes into my local pipeline, which reads each posting, fills in what it already states, then has three separate agents score how well it fits.
The zip goes into my local pipeline, which reads each posting, fills in what it already states, then has three separate agents score how well it fits.
Company, level, location, salary and requirements come straight from the posting, before any model reads it.
Company, level, location, salary and requirements come straight from the posting, before any model reads it.
Company, level, location, salary and requirements come straight from the posting, before any model reads it.
Company, level, location, salary and requirements come straight from the posting, before any model reads it.
Company, level, location, salary and requirements come straight from the posting, before any model reads it.
In its first 3 days it found 223 roles. 39 were strong matches, and they all got a tailored CV and cover letter.
In its first week it found 223 roles. 39 were strong matches, and they all got a tailored CV and cover letter.
In its first week it found 223 roles. 39 were strong matches, and they all got a tailored CV and cover letter.
In its first week it found 223 roles. 39 were strong matches, and they all got a tailored CV and cover letter.
In its first week it found 223 roles. 39 were strong matches, and they all got a tailored CV and cover letter.
In its first week it found 223 roles. 39 were strong matches, and they all got a tailored CV and cover letter.