Frequently asked questions

Plain answers for people, search systems, and AI crawlers trying to understand who TrySignalHire is for, what it is not, and why it exists.

What is TrySignalHire?

TrySignalHire is an early AI hiring signal product focused on candidate packets. Candidates tell their work story, add proof, and turn it into a public or unlisted packet that represents them better than a resume.

What is Signal OS?

Signal OS is the working system behind the TrySignalHire workflow. The first version turns story notes, resume context, projects, recommendations, discovery preferences, and proof into candidate-reviewed packet signal with sources visible.

Who is TrySignalHire for?

TrySignalHire is built first for software engineers, technical builders, and other candidates with real work to show. Reviewers can be hiring teams, founders, collaborators, advisors, or partners who want proof before another resume-shaped summary.

Why are you building this?

Jesse Peplinski is building it from lived job-search pain after roughly 40 applications, many repeated profiles, and the feeling that current AI-heavy hiring funnels are missing trust.

Is TrySignalHire available today?

TrySignalHire is in early access. The public site is live, candidate packets can be submitted, and the current MVP focus is the story-first candidate packet flow: tell the story, add proof, review, then submit public or unlisted.

Does TrySignalHire make hiring decisions?

No. TrySignalHire is not meant to make hiring decisions or replace human judgment. The goal is to make candidate evidence easier to review and harder to overlook.

How does TrySignalHire use AI?

AI helps organize, summarize, and draft candidate packet fields from user-provided story and proof context, but the product keeps claims tied to real sources instead of generating unsupported hiring theater. The candidate reviews before sharing.

What candidate evidence does it use?

The candidate packet can include one anchor work story, projects, writing, resume context, recommendations, role or collaboration targets, tradeoff notes, and proof that helps explain what someone can actually do.

How does auto-matching work?

Auto-matching is not the center of the current MVP. Public discovery starts with submitted candidate packets; matching can later compare reviewer needs against candidate-approved packet signal without replacing human review.

How does company review work?

The first reviewer experience is simple: read the packet, inspect the proof, and decide whether to talk. Heavier company dashboards and workflow machinery are intentionally not the first MVP center.

What is the 24-hour response window?

The MVP shows a 24-hour response tracker once a candidate match enters a company queue. That tracker is meant to respect candidate time first. Email and text follow-ups are planned later.

Is TrySignalHire free for candidates?

Not for the founding pilot I am testing publicly. Candidate access starts with a 7-day card-upfront trial. Founding users can lock in $10/month before the candidate rate moves to $15/month. It does not guarantee interviews, offers, or placement.

How will company pricing work?

Company pilots start with a 7-day card-upfront trial. Founding company pricing is $50/month while active before the company rate moves to $100/month, plus a 15% first-year salary success fee when TrySignalHire helps create a real hire.

What about privacy and early access?

The early-access form collects contact details and can include an optional phone number if you are open to a direct feedback call. There is no newsletter; the information is for TrySignalHire early-access follow-up.

Who is building TrySignalHire?

TrySignalHire is built by Jesse Peplinski in Syracuse, New York. You can join early access on the site or text or call the founder at (315) 565-6061.

Will personality assessment be part of the product?

Personality or working-style assessment is a future area being explored. It is not the current core product, and it would need to support context and trust rather than reduce people to a simplistic score.