Jonathan Lehr is a former Morgan Stanley IT insider who built Work-Bench's investment approach around systematically mining Fortune 500 leaders for problems first, then finding startups to solve them, rather than starting with founder pitches. He runs a highly concentrated portfolio of about 6 investments per year and has led multiple unicorns like Cockroach Labs from seed while founding and running the 10,000+ member New York Enterprise Technology Meetup for over a decade as both a community asset and deal sourcing engine.

• Focus on the gritty realities of enterprise sales and go-to-market strategies. This involves a deep appreciation for the complexities of selling to large institutions like Wall Street banks rather than chasing viral, consumer-style growth. For instance, the feed highlights a skepticism toward enterprise founders who expect rapid, viral adoption rates, noting that true enterprise sales involve navigating complex hurdles like compliance and validation rather than relying on hype.
• Interest in the practical application and infrastructure layer of artificial intelligence rather than just the models themselves. The emphasis is on tools that make AI useful in production for established industries. A clear example is the observation that value accrues to companies that build the utility layer around models, as well as skepticism regarding startups pitching cost savings in banking compliance without accounting for the human oversight regulators still demand.
• Championing the New York City tech ecosystem, particularly its density of potential enterprise customers and industry incumbents. There is a recurring theme of connecting founders with local decision-makers in sectors like finance. The tweets frequently highlight the specific advantage New York offers for applied AI companies, given the city's status as a hub for major industries looking to modernize.
• Investing in vertical-specific software that modernizes legacy industries currently running on outdated manual processes. This includes moving sectors like commercial real estate or legal teams away from spreadsheets and PDFs. He highlighted a specific investment in a company tackling the commercial real estate market, noting that despite being a massive asset class, it still relies heavily on archaic tools.
• Prioritizing honest metrics and genuine traction over narrative fluff during the diligence process. There is a strong distaste for inflating numbers or misrepresenting pilot programs as committed revenue. He shared a cautionary story about a founder who claimed to have dozens of customers in a pitch deck, only for diligence to reveal that none of them were actually paying clients.