Hyring
Hire more Humans with AI
About
Hyring is an AI-native recruitment platform built to help companies automate and streamline modern hiring through intelligent AI agents. Designed for startups, enterprises, staffing firms, and HR teams, Hyring simplifies the entire recruitment workflow — from resume screening and phone interviews to AI-powered video interviews, coding assessments, and candidate evaluation. The platform combines conversational AI, automation, and data-driven hiring intelligence to help organizations reduce hiring time, improve candidate quality, and scale recruitment efficiently.
Hyring’s core strength lies in its human-like AI interviewer technology. Recruiters can configure hiring workflows within minutes by uploading job descriptions, selecting AI avatars or voice assistants, and defining role-specific competencies. Once configured, Hyring automatically manages candidate screening and assessments through AI-powered workflows that simulate structured recruiter interactions. The platform evaluates candidates based on communication skills, technical knowledge, behavioral indicators, integrity signals, and overall job fit, delivering detailed reports and hiring recommendations to employers.
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FounderPlaybooks.
What other founders did to grow.
2722 dispatches from hundreds of founders, pulled from the week's best podcasts.
I asked some of the people that were mowing they said well it's easy you get a piece of paper you write all of your jobs down on one side that's week one you flip it over and you write all of your jobs down down on the other side that's week two and I said why why don't you use an app for that and one guy said to me well no app exists and someone should look at making it and I thought to myself I could be that someone.
His First App Idea Came From A Lawn-Mowing Customer Saying No App Exists
While mowing lawns to pay off debt, Adam discovered his first app idea from a customer's offhand comment that no scheduling app existed for lawn mowers. The audience surfaced the need directly, not market research.
I posted the cursor directory on X at the initial release. I mean we're building public on X, we share everything we do all the way to the code right, we are fully open source. So I think we had like 1 million impressions on one of the posts and of course we had several posts so we have a developer following from the beginning.
Stack Months Of Build-In-Public On X So One Launch Post Hits A Million Impressions
The launch wasn't a cold drop, it was the payoff of an existing build-in-public habit on X with an open-source developer audience. One post hit 1M impressions, then Hacker News front page, then YouTuber coverage compounded on top. The pre-built distribution is what made a 3-hour weekend project flip to $35K/month inside weeks.
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