How Y Combinator's Founder-Matching Service Enabled Medical Records AI Startup Hona to Secure $3M in Funding

Y Combinator is highly regarded in Silicon Valley for numerous reasons, but one service that has significantly impacted its success is the online founder-matching tool.

“I believe this is the most valuable digital product YC has created (even more so than Bookface). It’s incredible how many founders I meet who connected through the YC co-founder matching platform,” tweeted seed investor Nikhil Basu Trivedi, referencing YC’s renowned collection of startup advice.

A great example of this is recent Y Combinator graduate Hona, although its founders' story is more dynamic than a simple tool connection. Hona is an AI-driven medical records startup that seamlessly integrates with various electronic health record systems to streamline patient data summaries, assisting doctors in preparation for patient visits.

Founded by childhood friends Danielle Yoesep and Adam Steinle, Hona's inception story is compelling. After reconnecting post-college, where they began their respective careers in tech and biotech, the duo discussed their entrepreneurial aspirations during a Thanksgiving gathering with high school friends. With backgrounds in healthcare—both having family members in the field—they decided to develop a solution employing AI to aid doctors in summarizing patient data.

Recognizing the need for an AI specialist co-founder, they joined the Y Combinator Co-Founder Matching Platform. They found Shuying Zhang, who was also eager to pursue a health-focused AI startup. Zhang’s impressive background includes biomedical engineering and software development, with experience at Google and Amazon.

What unfolded next resembled a "Tinder for co-founders." Yoesep, Steinle, and Zhang browsed profiles on the platform, setting up several meetings with potential partners. The chemistry was immediate when Zhang met Yoesep and Steinle, leading to them offering her a significant equity stake in the venture just three weeks later. “We literally met each other, and within three weeks, we were jobless, trying to build this,” Steinle shared with tech media.

Equipped with their tech expertise, they promptly applied to Y Combinator for the Summer 2023 batch but faced rejection. Undeterred, they concentrated on developing a prototype, showcasing it to their network of healthcare professionals, receiving positive feedback, and successfully raising a small seed round.

About four months later, they reapplied to YC for the Winter 2024 batch and were accepted. Yoesep credits their success to the clarity of their vision and their strong team dynamics during the interview process, stating, “We never changed directions, which helped show our commitment.”

Following their acceptance, momentum began to build. Medical professionals from Duke and Harvard agreed to test their product and collaborate on a forthcoming white paper, to be published soon. Notable angel investors from the tech and biotech sectors joined their mission. By the time Hona showcased its venture during YC's renowned Demo Day, it had successfully secured a $3 million seed round from influential backers like General Catalyst, which has notably ventured into health tech, and others.

Despite the exciting progress, Hona faces challenges in a competitive landscape for AI-driven medical transcription solutions, dominated by major cloud providers like Google and Amazon, along with numerous startups.

However, Steinle believes Hona will distinguish itself with its "super customizable" approach, catering to the specific data needs of different medical specialists. For example, a cardiologist would receive a tailored summary compared to a nephrologist, as highlighted by their upcoming white paper on kidney stone referrals, which will include specific measurement data.

For those aspiring to launch a startup and considering Y Combinator’s matching tool, Zhang offers simple yet valuable advice: "Just go out and try. Once you start collaborating, you’ll quickly gauge your compatibility with others."

Most people like

Find AI tools in YBX