The venture capital landscape is shifting fast — and few people have had a better vantage point than Damir Ibrahimagić Kopinić, co-founder and CEO of G Plus Quant. With decades of experience spanning asset management, trading, blockchain, and now early-stage venture, Damir has seen how markets evolve and how capital allocators think.
In a recent Ignite Podcast episode, Damir sat down with Brian Bell to discuss how startups can better connect with investors, why AI is transforming the venture industry, and what founders and fund managers alike should know about LP dynamics. Here are the highlights.
From Asset Management to Startups
Damir began his career in traditional finance — trading, asset management, and brokerage. But after meeting founders seeking institutional capital, he was hooked by their energy and vision. That experience inspired him to help startups secure funding and eventually co-found G Plus Quant, a consultancy that connects promising startups with venture funds, LPs, and family offices.
Why Founders Struggle to Connect with Investors
One of Damir’s central messages is that founders often underestimate how much preparation is required to raise capital. Investors expect:
- A clear, well-structured pitch deck
- Professional data rooms
- Demonstrated traction or a proven team with prior exits
Too often, technical founders can talk endlessly about their product but fail to “sell” themselves and their vision in a way investors find compelling.
The AI Obsession — and the Overlooked Opportunities
In 2025, AI dominates venture capital conversations. According to Damir, without an AI angle, many investors won’t even look at a pitch deck. But this creates a distortion: solid, non-AI businesses are being overlooked — and may now be available at attractive valuations.
Still, he believes AI is a true game-changer, especially in fintech, legal tech, and agent-based automation where teams of ten can be reduced to one. This creates new dynamics: startups need less capital to scale, which in turn pressures venture funds to rethink fee structures and fund sizes.
LPs vs. Family Offices: Different Worlds
Damir draws a sharp distinction between capital sources:
- Family offices often bring emotion and personality into decision-making. Each is unique, making the process highly relationship-driven.
- Institutional LPs are more rigid, requiring formal presentations, proven track records, and a long trust-building process.
Both, however, are increasingly cautious given macroeconomic uncertainty, interest rate volatility, and geopolitical risks.
Niche vs. Generalist Funds: Why Focus Wins
For emerging fund managers, Damir stresses the importance of having an edge. Generalist strategies are nearly impossible to execute at small scale when competing with giants like Sequoia or Andreessen Horowitz. Instead, being niche — whether by sector, stage, or geography — offers credibility and differentiation.
He also highlights that funds in the $50–150 million AUM range, typically around fund three, are currently the most attractive to LPs. They’re large enough to participate meaningfully in deals but nimble enough to adapt.
The Rise of AI-Driven Venture Capital
One of the most fascinating parts of the conversation is Damir’s vision for algorithmic venture capital. He believes most due diligence, deal screening, and even investment processes will be automated within a few years.
- AI can now outperform MBAs in screening pitch decks and data rooms.
- Founders can use AI to create stronger decks, reach customers faster, and accelerate product-market fit.
- The bottleneck is shifting from analysis to relationships and trust — areas where human investors still matter most.
Damir envisions funds run with just a handful of people, supported by AI agents that work 24/7. The competitive advantage will no longer be in analysis, but in network access and the personal touch.
Europe vs. U.S. Venture
Damir also contrasts the two ecosystems:
- U.S. startups benefit from abundant capital, especially at later stages.
- Europe is more fragmented, risk-averse, and conservative, though often able to invest at lower valuations.
- Israeli startups continue to look to the U.S. for growth capital, bypassing European hubs altogether.
Looking Ahead: Liquidity, Secondaries, and AI-Driven Efficiency
Damir believes secondaries will become an increasingly important tool to create liquidity in a world where IPO markets remain frozen. For fund managers, returning even partial capital early can strengthen LP relationships and improve chances of raising subsequent funds.
He also predicts AI will continue to reshape both startups and venture firms — creating a leaner, faster, more efficient ecosystem where speed and execution are the ultimate moats.
Key Takeaways
- Founders must do their homework before pitching: clear decks, data, and traction are non-negotiable.
- AI is transforming both startups and venture capital, enabling leaner operations and more efficient scaling.
- LPs and family offices approach investing differently — relationships and trust are critical for both.
- Niche funds with $50–150M AUM are in a sweet spot for LP attention.
- The future of venture may be AI-powered, but human relationships still matter.
Chapters:
- 00:01From asset management to early-stage venture: Damir’s journey
- 02:20ICOs, blockchain, and lessons from the early crypto wave
- 03:06The #1 mistake founders make when pitching investors
- 05:14Why AI dominates investor attention in 2025
- 07:17How AI is making startups leaner and more capital efficient
- 08:04The overlooked value in non-AI deals
- 09:56The risk of AI startups becoming obsolete overnight
- 11:19Vertical vs. sub-vertical AI opportunities (e.g., legal tech)
- 11:59Startups scaling to $100M ARR with tiny teams
- 13:19Family offices vs. institutional LPs: how they differ
- 15:54Why warm intros matter and cold outreach fails
- 17:33Niche vs. generalist funds: which strategy works for emerging managers
- 22:22How LPs evaluate fund decks, deal flow, and GP presentation
- 24:41Why raising a $30–50M fund can be harder than $100M+
- 31:27The “sweet spot” for funds: $50–150M at fund three
- 34:40Shifts in management fees, carry, and LP negotiations
- 39:51The rise of algorithmic VC funds and AI-powered due diligence
- 43:42Are large VC teams obsolete in the age of AI?
- 46:18Automating deal screening and data rooms with AI agents
- 50:19Back-testing with AI: learning from startup successes and failures
- 53:47How AI accelerates both VCs and founders
- 54:47Fees vs. carry: what LPs really want
- 57:48Strategies for liquidity, secondaries, and returning capital to LPs
- 01:01:05Europe vs. U.S. venture ecosystems post-2023 reset