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Dragonfly Launches $650M Fund IV as Co-Founder Reveals the Blueprint Behind Building a Crypto VC Firm

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Nexo Partners with Bakkt for US Crypto Exchange and Yield Programs

TLDR:

  • Dragonfly Capital launched a $650M Fund IV, bringing total assets under management to approximately $4 billion.
  • Co-founder Qureshi credits geographic arbitrage between Asia and the US as the firm’s earliest competitive edge.
  • Dragonfly avoided trending crypto deals like Terra and Axie, instead backing Ethena and Polymarket at low-interest periods.
  • Qureshi argues that non-consensus investments drive the majority of venture returns, making contrarian discipline essential.

Dragonfly Fund IV, a $650 million crypto venture capital fund, has officially launched amid widespread skepticism about the industry.

Dragonfly Capital now manages approximately $4 billion in assets across offices in New York, San Francisco, and Singapore, with around 45 staff members.

Co-founder Haseeb Qureshi recently shared a detailed account of the lessons behind building the firm, offering rare transparency into the mechanics of crypto venture capital.

Starting From Zero: Reputation and Finding a Niche

Dragonfly Fund IV’s story begins long before the launch announcement. Qureshi entered crypto in 2018, just as the ICO bubble collapsed and most participants were exiting the space.

He later partnered with Bo to launch Dragonfly Capital at a time when dominant players like Polychain, Pantera, and a16z controlled the market.

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According to Qureshi, first-time fund managers must stake their personal reputation to get started. He wrote that raising from friends, former bosses, and wealthy connections is non-negotiable for a debut fund. Without putting everything on the line, he argued, there is little to no chance of success.

The firm’s early edge was a geographic arbitrage strategy. Qureshi was based in the United States while his partner, Bo operated in Asia.

This east-meets-west positioning helped Dragonfly earn allocations in early rounds, even without leading deals. The approach was demanding, requiring long hours and constant coordination across time zones.

Talent Management and Brand Building as Competitive Advantages

As Dragonfly grew, Qureshi identified talent retention as a major differentiator. He noted that VC firms are notoriously poor at corporate management, including basic practices like mentorship, clear responsibilities, and open communication. Poor management often goes unaddressed because power law returns mask internal dysfunction.

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Dragonfly took a different path. The firm invested in giving junior team members stability, voice, and independence.

Qureshi credited this approach for helping retain people who could have joined larger platforms. Over time, those individuals became central to the firm’s performance.

Brand distribution was another focus area. Qureshi stressed that every team member should build a personal audience. He encouraged public writing, social media presence, and individual thought leadership.

Firms that discourage employees from engaging publicly, he wrote, are making a strategic error.

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Investment Philosophy: Non-Consensus Bets and Long-Term Discipline

On investment strategy, Qureshi outlined a clear framework. Most returns in venture come from a small number of deals, often just two or three per fund. He pointed out that consensus deals are usually overpriced, leaving little room for outsized returns.

Dragonfly’s biggest wins came from avoiding popular trends. The firm passed on Terra, Axie Infinity, and Yuga Labs during their peaks.

Instead, it backed Ethena shortly after the Terra collapse and invested in Polymarket before the 2024 election cycle drew mainstream attention.

Hsseeb wrote on X: “Every cycle has a narrative that feels irresistible…most of those themes turn out to be a waste of money.” He tied this discipline directly to portfolio construction, warning that trend-following produces a portfolio of “what was popular 18 months ago.”

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Qureshi also addressed fundraising timing, noting that the best window to raise capital rarely aligns with the best time to deploy it. Managing that tension, he concluded, is one of the defining skills in venture.

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Crypto World

Bitcoin Hovers Near $67K as Crypto Markets Consolidate

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BTC 24-hour price chart. Source: CoinGecko

Leading altcoins retraced some of their gains from Wednesday.

Crypto markets dipped slightly on Thursday, with the total market cap dropping by about 2% over the past day to around $2.39 trillion.

Bitcoin (BTC) is trading near $67,000, down 2% over the past day but up 1% for the week, slightly below Wednesday’s peak.

BTC 24-hour price chart. Source: CoinGecko
BTC 24-hour price chart. Source: CoinGecko

Ethereum (ETH) slipped to $1,992, posting a 3% daily loss. Among other Top 10 assets, Solana (SOL) dropped 3.5%, XRP plunged 5%, and BNB fell 1.5%.

‘Constructive Return of Liquidity’

Analysts at glassnode noted in an X post today that “profit-taking continues to absorb momentum at the $70K threshold,” implying that this is consistent with a thin liquidity regime where even modest realization events are sufficient to suppress recovery attempts.

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BTC realized profit/loss ratio. Source: glassnode
BTC realized profit/loss ratio. Source: glassnode

“Historically, breaks below 1 have persisted for 6+ months before reclaiming it, a recovery that typically signals a constructive return of liquidity to the market,” they added.

Paul Howard, senior director at crypto trading firm Wincent, said in commentary for The Defiant that stronger-than-expected earnings overnight had lifted tech stocks and risk assets more broadly.

He noted that “the short squeeze on Circle was notable, alongside the significant short interest in MSTR and the earnings beat from NVDA,” adding that these moves contributed to Bitcoin’s rally over the past 24 hours.

Howard added that the market is still looking for a clear catalyst that could push cryptocurrencies significantly higher, rather than just supporting them as a hedge trade.

Big Movers and Liquidations

Among the Top 100 assets by market cap, Pippin (PIPPIN) led gains with an 18.4% jump, followed by Internet Computer (ICP), which is up 8.5%.

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On the downside, Cosmos Hub (ATOM) fell 7.9%, and Morpho (MORPHO) declined 3.6%.

CoinGlass reports that more than 157,000 traders were liquidated over the past 24 hours for a total of $560 million.

Shorts dominated with around $420 million liquidated, compared with nearly $148 million in long positions.

ETFs and Macro Conditions

Spot Bitcoin ETFs saw inflows of $506 million on Wednesday, Feb. 25, the largest single-day inflow since Jan. 5, bringing total net assets to $87.6 billion. On that same day, spot Ethereum ETFs added $157 million, bringing cumulative net assets to $11.8 billion.

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On the macro front, U.S. Treasury yields were mostly flat. The 10-year note slipped slightly to 4.042%, the 30-year bond yield edged down to 4.687%, and the 2-year note ticked higher to 3.473%.

Thursday’s Labor Department report showed initial unemployment claims for the week ended Feb. 21 at 212,000, slightly above the prior week’s revised 208,000 but below the 215,000 forecast, CNBC reported.

On the geopolitical side, Iran’s foreign ministry said today’s nuclear talks in Geneva produced “very constructive” proposals, but didn’t give any details, according to the Associated Press. The U.S. and Iran are negotiating indirectly, with Oman’s foreign minister and the UN’s nuclear watchdog also present.

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AI, Bitcoin Mining Firms Tap High-Yield Bonds for Data Centers

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AI, Bitcoin Mining Firms Tap High-Yield Bonds for Data Centers

The AI and data center boom partly driven by Bitcoin miners is increasingly being financed through high-yield bond issuance, underscoring how lenders are pricing both risk and opportunity in the sector.

According to TheEnergyMag’s latest newsletter, companies tied to AI data center development have raised about $33 billion in long-term senior notes over the past 12 months, excluding convertible debt — bonds that can later be converted into equity and typically carry different risk dynamics.

The interest rate spread is notable: While regulated utilities and traditional energy companies generally borrow at 4% to 5%, AI- and crypto-linked issuers pay closer to 7% to 9%.

The average coupon on newly issued US dollar high-yield debt has was close to 7.2% in late 2025, from 8% to 9% in 2023, according to Janus Henderson Investors, citing BofA Global Research, average coupon, as of Nov. 30.

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Those at the higher end of the spectrum are largely current or former digital asset mining companies that have pivoted into AI infrastructure, suggesting capital remains comparatively expensive for the group. 

TheEnergyMag cited recent raises, including CoreWeave at 9.25% and 9% in May and July 2025, Applied Digital at 9.2% in November, TeraWulf at 7.75% and Cipher Mining at 7.125% and 6.125%.

Credit ratings and perceived risks drive interest rate spreads in AI infrastructure development. Source: TheEnergyMag

“The message from lenders is clear,” TheEnergyMag wrote. “Regulated load and contracted generation still get treated as infrastructure. AI and bitcoin, even when attached to long-term offtake agreements, are still treated as growth credit.”

Related: Canaan buys 49% stake in three Texas mining sites for $40M

AI infrastructure boom intensifies 

Despite concerns about overspending and potential overcapacity, the AI data center build-out remains one of the most visible trends in the economy, and a major driver of demand on Wall Street.

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The scale of that momentum was underscored on Wednesday when chipmaker Nvidia posted blockbuster fourth-quarter results, with profit rising 94% and revenue climbing 73% year-on- year. The chipmaker reported $43 billion in net income and $68.1 billion in revenue.

Meanwhile, Bitcoin mining companies are planning about 30 gigawatts of new power capacity aimed at AI workloads, nearly triple the capacity they currently operate. Much of it remains in development pipelines or early-stage planning, but the industry has made clear that AI infrastructure is a strategic priority.

Related: The real ‘supercycle’ isn’t crypto, it’s AI infrastructure: Analyst

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