Julian Counihan started his career as a hands-on software developer building warehouse control and automation systems before becoming a venture capital investor, giving him unusually deep technical understanding of logistics and industrial automation. He was selected to the "Seed 100: Best Early-Stage Investors of 2025" list and is recognized as a leading early-stage investor specifically in freight and supply chain technology, frequently sought out by industry operators to translate between startups and traditional supply chain executives.

• Deep interest in the practical application of coding LLMs and their integration into developer workflows. He frequently experiments with tools like Claude Code, Gemini, and Cursor, sharing specific "vibe coding" tactics such as keeping high-level architecture discussions in a chatbot while restricting the coding implementation to an IDE to prevent errors in established repositories.
• Skeptical perspective on the current hype surrounding humanoid robotics, preferring to ground expectations in historical reality. He compares the current excitement around humanoids to the VR bubble of 2014 where users ignored limited experiences to believe in the future, and he closely monitors practical hardware performance, such as how autonomous vacuums perform in navigation tests.
• Critical view of inflated valuations and the misalignment between founder success and fund deployment pressures. He highlights the dangers of taking too much capital at high prices, illustrating this with a dialogue where a VC pushes a 200 million dollar round just to deploy a large fund, leaving the founder to worry about the pressure it creates.
• Strong distaste for automated outreach and manipulative marketing trends. He notes that the influx of AI-generated pitch emails has made it nearly impossible to review cold inbound messages and suggests that strategies like rage-bait marketing have lost their edge, leaving companies vulnerable to public backlash if they slip up.
• Observation of shifting timelines and definitions within the deep tech sector. He points out that while the term deep tech used to refer to robotics companies with a four-year path to commercialization, it has now morphed into a proxy for space and defense startups with timelines extending to eight or twelve years.
• Focus on the health of the venture ecosystem and the risks of bubble behavior. He flags warning signs such as multi-stage firms marking up mediocre portfolio companies to boost paper returns and notes that high-production value for funding announcements often signals a market peak.