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Itamar Novick has spent 15 years investing in startups, backing more than 150 companies, including early bets connected to unicorns, decacorns, and public companies.
But this conversation is not about the glamour of venture capital.
It is about the traps.
The mistakes that repeat. The patterns that quietly kill startups. The “good ideas” that look smart on the outside but drain years of time, money, and founder energy.
In this episode of Aggaeus, Haggai Klorman Eraqi sits down with Itamar Novick, Founder & General Partner of Recursive Ventures, for a conversation about VC, founder psychology, AI, startup anti-patterns, and what it really takes to build a venture-backed company.
Itamar has seen the startup journey from multiple sides: operator, angel investor, VC, board observer, and early supporter of companies from seed to IPO and beyond.
That experience taught him something most founders learn too late:
Success is hard to copy.
Failure patterns repeat.
From elephant hunting to “if we build it, they will come,” Itamar explains why many founders don’t fail because they are lazy or unintelligent. They fail because they follow patterns that feel logical in the moment — but destroy the company over time.
He also explains why early-stage investing is still mostly about the team, why great founders can pivot through broken markets, and why AI has changed the minimum bar for starting a company.
Today, showing up with only an idea is no longer enough.
If a demo can be built over a weekend, founders need to prove something deeper: judgment, speed, customer insight, resilience, and a real reason why they can win.
In this episode, we cover:
• Why venture capital carries more negative energy than outsiders realize
• Why startup success is unique, but failure patterns repeat
• The anti-patterns that quietly kill early-stage companies
• Why Itamar still bets heavily on founders at pre-seed
• What changed now that vibe coding makes demos cheap
• Why AI companies need real data moats, not just clever wrappers
• Why Itamar believes AI may be the biggest tech wave yet — and still a bubble
This is a conversation about founders, VCs, anti-patterns, AI, risk, resilience, and how to avoid building the kind of startup that looks promising right until it falls apart.
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Aggaeus content is for informational and educational purposes only and should not be considered legal, business, investment, or tax advice. You should conduct your own research and consult qualified professionals before making any decisions.
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