A job-search operating system. Seekers first.
Spray-and-pray is over. One strategic resume, direct outreach to the humans doing the hiring, and a record of what actually moves the needle.
01 — The market
Open LinkedIn on any given week. Recruiters and hiring managers say it plainly: the AI-tailored resume is a tell. The volume play is a trap. The candidates landing roles do something different.
“I can spot a ChatGPT cover letter in three sentences. It goes in the maybe-pile, which is a polite no-pile.”
“If you tailored your resume to fifty roles in a weekend, you tailored it to none of them. Pick three and write them like a letter.”
“The candidates I hire are the ones who reach me directly, not the ones who passed the keyword filter.”
02 — What worked instead
Written like a portfolio of evidence. Not tweaked per listing, not stuffed with keywords, not generated. The same resume goes everywhere because it’s honest.
Hiring managers, engineering leads, people on the team. A short, specific note that references the work, not the listing. Three a week beats three hundred applications.
Every letter sent, every reply, every interview. Not a spreadsheet of statuses but a record of conversations. The pattern of what gets a response becomes visible.
03 — Why this exists
I built this because the version of my search that worked was impossible to scale by hand.
I left my last role. The market had been brutal since 2021.
First, I did what everyone does. I let an AI tailor my resume to every listing. I submitted hundreds of applications. I got near-zero responses.
Months. Burnout. The feeling of shouting into a well.
Then I switched. One honest resume — eighty-plus technologies, specific contributions, measured outcomes. No tweaking per role.
I wrote to hiring managers directly. To engineering leaders at companies I actually wanted to work for. Three a week, tracked in markdown files and spreadsheets, slow on purpose.
The numbers shocked me.
12 applications · 5 interviews · multiple offers
Eight weeks. A relaxed pace. Compensation higher than staying put.
The slow version of the search wasn’t just less painful. It was strictly better.
I spent more time keeping my own notes organized than actually searching. So I started building the tool I wished I had used. I found a role before it was ready. Now I’m building it for the next person.
04 — Pages of the operating system
ToWhom is letterhead, not a tracker app. Each surface is a page you write on, not a dashboard you scan.
A timeline of every role you’ve written to. Status is one field, not the point. The point is the correspondence: what you sent, what came back, what happens next.
The humans you’re writing to. Hiring managers, engineering leads, second-degree contacts. A real history of the conversation, not a CRM of contact cards.
Cover letters, follow-ups, interview prep, thank-yous. You write them. ToWhom keeps the versions, the structure, the fragments worth reusing.
What actually works for you. Not generic benchmarks. The pattern in your own correspondence — which openings, which companies, which weeks, which letters got a reply.
05 — A note from the desk
Everyone is being told to send more applications, faster, with AI doing the writing. The data — and the recruiters — say the opposite gets results.
ToWhom is the operating system for the version of the search that actually works: fewer applications, real letters, written to humans, with a record you can learn from.
From the desk of the maker.
06 — Frequently asked
I did. I switched to markdown when the spreadsheet got unmanageable. I switched to a tool when the markdown got unmanageable. ToWhom is what I needed at that point.
No. ToWhom helps you track and organize your job search. You write the letters. That’s the part that works.
A resume builder makes one document. ToWhom captures the whole search — applications, conversations, letters, what comes back. Different tools, different jobs.
Your data is yours. Export anytime. Delete anytime. Never sold, never shared, never used to train a model.
No. The pattern — write to humans, keep a record, learn from it — works in any field. The first cohort happens to skew technical because that’s who’s closest at launch.
Soon. The product is being built in the open. Write to [email protected] if you want to follow along.