Sorce Is Tinder for Jobs, and 700K People Already Swiped Right

The Macro: Applying for Jobs Is the Worst User Experience on the Internet

I applied for a job last year. It took me 45 minutes. I uploaded my resume, then the system asked me to manually re-enter every single thing that was already on the resume. Name. Address. Work history. Education. References. Then it asked for a cover letter. Then it asked me to create an account. Then it emailed me a verification link that went to spam. By the time I finished, I had forgotten which job I was applying for.

This experience is universal. Every working adult has lived through it. And somehow it has gotten worse over the past decade, not better. Workday, Taleo, Greenhouse, Lever, iCIMS. These applicant tracking systems were built for HR departments, not for the people actually applying. The candidate experience is an afterthought. Always has been.

The numbers tell the story. The average job seeker applies to 100 to 200 jobs before landing an offer. Each application takes 20 to 40 minutes if you are doing it properly. That is 30 to 130 hours of unpaid labor just to get hired. For context, that is more time than most people spend learning a new skill. You could become conversational in Spanish in the time it takes to apply to enough jobs to get one offer.

Companies like LinkedIn, Indeed, and ZipRecruiter have tried to make this easier, but they have mostly optimized for the employer side. Easy Apply on LinkedIn is better than nothing, but it still requires manual effort for each application and the conversion rates are low because employers know those applications are low-effort. The fundamental problem remains: applying for jobs is tedious, repetitive, and soul-crushing. It is the single most automatable task that nobody has successfully automated at scale.

Until recently.

The Micro: Three Engineers Under 25 Who Already Have 20 Million Swipes

Sorce takes the job application process and reduces it to a swipe. You upload your resume once. The platform shows you jobs. You swipe right on the ones you like. Then an AI agent goes to the company’s actual application page and fills everything out for you, generating a personalized cover letter along the way. Swipe left to skip. Swipe right to apply. That is the entire interaction model.

The founding team is young and technical. Oluwapelumi Dada previously worked at Tesla and Dell. Daniel Ajayi is the CTO, 22 years old, MIT CS class of 2025, with time at Citadel Securities and Nvidia on his resume. David Alade rounds out the trio, Northeastern class of 2025, with stints at JPMC and the Network Science Institute. They are a five-person team out of San Francisco, backed by Y Combinator’s Fall 2025 batch.

The traction is hard to argue with. Over 700,000 registered users. More than 20 million swipes processed. Over a thousand users have landed jobs through the platform, with interviews and offers coming from places like Figma, Ramp, DoorDash, Instacart, and Coinbase. Those are not throwaway companies. Those are real offers from real employers who are notoriously selective.

The Tinder comparison is not just marketing. It is a deliberate product decision. Dating apps proved that the swipe mechanic can handle high-volume binary decisions better than any other interface pattern. You see a card. You make a fast judgment. You move on. That cognitive model maps perfectly onto job browsing, where you are scanning dozens of listings and making quick yes/no decisions based on title, company, location, and salary range.

The competitive landscape here is interesting. Lazyapply and Simplify have tried the auto-apply approach but tend to blast applications indiscriminately, which annoys recruiters and gets candidates flagged. Sonara focuses on matching but requires more user input. Massive platforms like LinkedIn and Indeed own distribution but have no incentive to make applying faster because their business model depends on keeping you on the platform longer. Sorce sits in a different spot entirely: fast decisions, automated execution, personalized output.

I am curious about the quality control question. When an AI generates a cover letter and fills out an application on your behalf, how good is it really? Does it capture the nuances that make applications stand out? Or does it produce competent but generic submissions that blend into the pile? The placement numbers suggest it works, but I would want to see data on application-to-interview conversion rates compared to manual applications.

The Verdict

I think Sorce is solving a real problem with an interface that actually fits the behavior. Job seekers want to browse fast and apply to many positions. The swipe mechanic enables that. The AI agent handles the drudgery. The 700K user number is not hype. People are using this because the alternative is genuinely terrible.

At 30 days, I want to see whether retention holds after the initial novelty wears off. Swipe-based apps tend to have strong first-session engagement and steep dropoff curves. At 60 days, the question is whether employers start recognizing Sorce applications and whether that recognition is positive or negative. If HR teams start flagging AI-generated applications, the entire model has a problem. At 90 days, I would want to know whether Sorce has built relationships with employers directly, because the long-term play here is not just automating the candidate side. It is becoming the interface that both sides prefer.

The team is young, but the traction is serious. Twenty million swipes is not an accident. That is product-market fit showing up in the data before anyone writes a trend piece about it.