Kevin is a member of the investment team, where he focuses on enterprise software.
Prior to 8VC, Kevin worked on systems architecture research with Professor Dan Abadi at the University of Maryland to build new primitives for distributed databases. He worked on applied research in large-scale ML models at Airbnb AI Labs. He was an early engineer at Neeva, a search engine startup, where he worked on ranking and built their first indexing pipeline.
Kevin graduated from the University of Maryland, where he competed in ACM-ICPC and created a class on reinforcement learning.
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Announcing Our Investment in Outset
Ask anyone who’s ever begun a term paper the night before it’s due: there are stark tradeoffs between research time and research quality. This is especially true of primary user research, one of the fundamental ways large enterprises can ensure their products resonate with customers. Historically, this has required a choice between user interviews, which are high-fidelity but slow, manual, and expensive, and surveys, which are scalable, cheaper, and faster, but often result in unrefined, low-signal data. Although there have been some strong companies on the survey side, e.g. Qualtrics and Medallia, this uneasy compromise has always persisted—until now.
Announcing Our Investment in Outset
Ask anyone who’s ever begun a term paper the night before it’s due: there are stark tradeoffs between research time and research quality. This is especially true of primary user research, one of the fundamental ways large enterprises can ensure their products resonate with customers. Historically, this has required a choice between user interviews, which are high-fidelity but slow, manual, and expensive, and surveys, which are scalable, cheaper, and faster, but often result in unrefined, low-signal data. Although there have been some strong companies on the survey side, e.g. Qualtrics and Medallia, this uneasy compromise has always persisted—until now.
8VC Emerging Builders Spotlight: Jeffrey Yu (Outset)
At 8VC, we believe in backing companies who reimagine industries from scratch. When we led Outset's Series A, we saw the potential to completely transform user and market research with AI. Since then, their execution has been incredible. Outset scaled from seven to eight-digit revenue, closed a Series B less than six months later after the Series A, and has dominated the market on AI-moderated research.
8VC Emerging Builders Spotlight: Jeffrey Yu (Outset)
At 8VC, we believe in backing companies who reimagine industries from scratch. When we led Outset's Series A, we saw the potential to completely transform user and market research with AI. Since then, their execution has been incredible. Outset scaled from seven to eight-digit revenue, closed a Series B less than six months later after the Series A, and has dominated the market on AI-moderated research.
Ready, AI, Hire: Announcing Our Investment in Tezi
Recruiting is a founder’s most important job. The returns on top talent, and the network effect of smart people pulling in smart people, are the not-so-secret secrets to our work at 8VC - and building Palantir, Addepar, OpenGov, and Saronic, to name a few. Yet conventional hiring is slow and expensive. You need to ramp up in-house recruiters to overcome scaling bottlenecks (creating fixed costs for variable needs), or pay contract firms steep commissions (up to $20-40,000 for senior technical hires). $250 billion a year is spent on recruiting in the US, almost entirely on labor. Software only represents 2.6% of that spend, and is mostly mediocre. It’s also built for recruiters, not hiring managers, highlighting a bigger issue: recruiting outsources input away from a new hire’s future team, while steadily increasing overhead.
Ready, AI, Hire: Announcing Our Investment in Tezi
Recruiting is a founder’s most important job. The returns on top talent, and the network effect of smart people pulling in smart people, are the not-so-secret secrets to our work at 8VC - and building Palantir, Addepar, OpenGov, and Saronic, to name a few. Yet conventional hiring is slow and expensive. You need to ramp up in-house recruiters to overcome scaling bottlenecks (creating fixed costs for variable needs), or pay contract firms steep commissions (up to $20-40,000 for senior technical hires). $250 billion a year is spent on recruiting in the US, almost entirely on labor. Software only represents 2.6% of that spend, and is mostly mediocre. It’s also built for recruiters, not hiring managers, highlighting a bigger issue: recruiting outsources input away from a new hire’s future team, while steadily increasing overhead.
Scalable AI Architectures
Today, two neural architectures scale to the limits of available data and compute:
Scalable AI Architectures
Today, two neural architectures scale to the limits of available data and compute:
Announcing Our Investment in PeerDB
While models command the spotlight, the AI age ultimately depends on real-time, reliable data access - and this is true of countless traditional business processes. Today, Postgres is the de facto database for enterprises, SMBs, and developers, yet Change Data Capture (CDC) and data movement tools for Postgres represent a massive bottleneck. Picture the Ever Given wedged in the Suez Canal, with data as cargo.
Announcing Our Investment in PeerDB
While models command the spotlight, the AI age ultimately depends on real-time, reliable data access - and this is true of countless traditional business processes. Today, Postgres is the de facto database for enterprises, SMBs, and developers, yet Change Data Capture (CDC) and data movement tools for Postgres represent a massive bottleneck. Picture the Ever Given wedged in the Suez Canal, with data as cargo.
The Other 90%: Introducing the Aryn-8VC Partnership
Unstructured data is the undiscovered country of the enterprise, containing the institutional wisdom AI seeks to capture. Unlocking the value of that data has proved elusive, as both enterprise search and LLMs have fallen short individually. Aryn's mission is to help you answer questions from all of your data. To this end, Aryn is bringing generative AI to OpenSearch and data preparation - and bridging the gap from results to answers.
The Other 90%: Introducing the Aryn-8VC Partnership
Unstructured data is the undiscovered country of the enterprise, containing the institutional wisdom AI seeks to capture. Unlocking the value of that data has proved elusive, as both enterprise search and LLMs have fallen short individually. Aryn's mission is to help you answer questions from all of your data. To this end, Aryn is bringing generative AI to OpenSearch and data preparation - and bridging the gap from results to answers.
