I Launched My First Open-Source SaaS App

A new open-source SaaS, an AI recruiter named Yorby, has been launched to address the complexities of hiring. It aims to streamline the process for businesses by managing inbound job applications and for candidates by offering a way to stand out beyond traditional resumes.

The tool allows businesses to create job listings with optional AI-driven interview questions. Candidates can choose to participate in these interviews to showcase their skills, enthusiasm, and cultural fit, providing more data points for recruiters. Yorby provides detailed analysis of interview responses and allows for customizable candidate progression through hiring stages.

The business model offers a free Applicant Tracking System (ATS) and charges for AI-driven interviews, with pricing based on the number of interviews conducted per month. The open-source approach is monetized through enterprise features, like team offerings, which are behind a commercial license, allowing the core functionality to remain accessible.

• Launched a new open-source AI recruiter called Yorby.
• Yorby addresses hiring challenges for businesses and candidates by managing job listings and offering AI-powered screening.
• Candidates can opt-in to AI interviews to showcase skills beyond their resumes.
• The platform offers a free ATS with paid features for AI interviews, charging businesses $99/month for up to 200 candidate interviews.
• The business model for open-source relies on monetizing enterprise features, like team offerings, under a commercial license.

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Launching an Open-Source AI Recruiter: Yorby [00:00]

• The speaker has launched a brand-new open-source SaaS.
• The video will explain what was built and how money will be made with an open-source startup.
• The speaker is a serial app builder who has built over 14 apps in the past 5 years, primarily in the B2C space, and is now pivoting to B2B.
• The startup is not yet revenue-generating.
• Shipping fast is a key advantage in the current software landscape.
• AI app builders can be a faster way to get a product to market than writing code.

The fastest way to get a product out there isn't by writing code, but by using an AI app builder.

The Problem in Hiring [02:43]

• Businesses face difficulties in hiring, particularly in managing inbound job applications.
• The current hiring market is described as "up" and incredibly dehumanizing for candidates.
• Businesses receive hundreds or thousands of applicants for a single job posting, making it physically impossible to review every candidate objectively and fairly.
• This can lead to businesses overlooking potentially great fits due to initial application presentation.
• For candidates, the current system, where a single resume determines initial human interaction, is dehumanizing.

Hiring is a really difficult part and a really difficult problem that every single businesses face.

Yorby: The AI Recruiter Solution [03:50]

• Yorby allows businesses to create job listings and add interview questions to screen candidates beyond their resumes.
• This feature is positioned as optional for candidates to stand out.
• It allows candidates, especially those with less polished resumes, to showcase technical experience, enthusiasm, and culture fit.
• This provides recruiters with more data points per candidate, improving the hiring process.
• Yorby functions as an AI interviewer that asks questions and assesses candidates.

The fact that now it's positioned as a optional thing that you can opt into to stand out in your job application. I actually think this is like a net good for the candidate.

Yorby Demo: How it Works [05:03]

• The demo showcases the Yorby platform (yori.ai).
• Users can create a company and then create job listings within it.
• Yorby can be used purely as an ATS, or with AI screening and interviewing.
• Candidates fill out contact info, upload documents (resumes, cover letters), and can add links to portfolios or GitHub.
• Businesses can configure multiple rounds of interviews with various questions and answer guidelines.
• A coding interview feature is available, simulating a whiteboard interview where the focus is on thought process rather than code execution.
• Candidates can opt into an optional interview to stand out.
• The AI interviewer conducts interviews in real-time, natural language communication.
• After the interview, recruiters can access a portal to view candidate analysis, including hiring decisions, score justifications, and a transcript of the interview.
• Recruiters can move candidates through customizable hiring stages (interviewing, offer, rejected, etc.).

The interviewer would have to understand your thought process and just like a from a highle perspective understand that you get the answer right.

Business Model and Monetization [09:40]

• Yorby offers a 100% free Applicant Tracking Software (ATS) system.
• The pricing model (as of September 15th, 2025) charges businesses $99 a month for up to 200 candidate interviews.
• Each additional interview beyond 200 costs $0.50.
• The charging is specifically for AI agents, workflows, and automations that speed up hiring.
• The core ATS software will remain free.
• Monetization for open-source startups often involves making 99% of the product free with a permissive license.
• The remaining 1% of the codebase, typically enterprise features, is behind a commercial license, making it illegal to use for commercial purposes without a paid agreement.
• Yorby will place features like team offerings behind an enterprise license, as these are needed by more serious businesses with recruiting teams.
• The source code for enterprise features is visible, but a different commercial licensing agreement applies.

We're creating a 100% free application tracking software ATS system.

Future Plans and Vision [12:25]

• A follow-up video will discuss how to grow and market the app.
• The speaker believes hiring is broken in many ways and that there are opportunities to fix it.
• The goal is to make hiring faster and more efficient for businesses, while also making it fairer for candidates and improving their chances of getting hired.

I do think hiring is broken in so many different ways. And I think that there's actually a lot of ways we can fix this.