估值超越大部分DeFi蓝筹协议,Pump.fun值40亿美元吗?

Odaily星球日报Published on 2025-06-04Last updated on 2025-06-04

Abstract

关键在于,Pump.fun能否在获得巨额资本后,真正构建出可持续的商业护城河。

原文作者:Haotian(X:@tme l0 211 

看到 Pump.fun 要以 40 亿美元估值发币筹集 10 亿美元,五味杂陈。很难想象,一个 MEME 发射平台,估值竟然超越了大部分 DeFi 蓝筹协议。这种天价估值合理吗?以下谈几个观点:

1)虚高泡沫化的市场估值颇为不合理

从数据看,Pump.fun 确实是这轮 MEME 超级周期的最大受益者,月收入峰值曾达到数千万美元,这个造富效应放在传统互联网都是现象级的。

但,Pump.fun 的注意力经济生意经是依赖市场 MEME 币的短期高度 Fomo 的非理性产物。说白了就是靠「赌性」驱动的流量变现。这意味着,Pump.fun 的商业模式变现能力完全是短期市场聚光灯效应下的产物,而非可持续的常态化盈利逻辑。

基于此,再来看 4 B 的估值合理吗?这个定价远超大部分 DeFi 蓝筹协议的定价,很难想象一个被戏虐割韭菜平台的估值会碾压蓝筹创新协议。一旦 MEME 热潮退却,或者市场回归理性,Pump.fun 的收入模型会瞬间坍塌。那选择在此刻 MEME 潮遇冷之际发币的 http://Pump.fun 倾注给市场的到底是什么?

2)脆弱的商业护城河容易被反超

Pump.fun 的成功看似偶然实则必然,它抓住了 Solana 高性能 + 低成本的技术红利,以及 MEME 文化从小众走向大众的时代红利。

但这种「先发优势」有多深的护城河值得怀疑?技术上,类似的发币平台可以被快速复制;运营上,MEME 发射平台本质上是个流量生意,一旦热点转移或者监管收紧,用户迁移成本极低。

更关键的是,Pump.fun 对 Solana 生态的依赖度极高,一旦 Solana 生态出现重大变化,其商业模式的脆弱性会暴露无遗。这种建立在他人基础设施之上的商业模式,本质上就是「寄人篱下」的生意,何况又存在极大的不持续型,怎能撑起 4 B 美元的独立估值?

3)Launchpad 工具化属性很难自成生态

Pump.fun 目前再「赚钱」也只是个「发币工具」,而要撑起 4 B 的市场估值,至少需要一个庞大的 MEME 经济生态才行。明知不可为,而偏为之,很难想象融资 1 B 美元的融资规模所图为何?

殊不知,要想从纯 Launchpad 蜕变成一个复杂的 MEME 经济生态,本身就存在悖论:MEME 文化的核心恰恰是简单、直接、病毒式传播,过度的功能叠加只会让平台失去原有的「野性」。

事实上,MEME 的「短平快」特性和平台的长期价值积累之间取得平衡,那些试图从工具向平台进化的产品,往往在追求「大而全」的过程中迷失自我,最终沦为四不像。Pump.fun 拿着 10 亿美元,很可能正在走向这样的宿命。

4)超高估值会颠覆原本的价值创新体系

Pump.fun 的超高估值,正向整个行业发出危险信号:在当前的 Crypto 生态中,「流量聚合 + 投机变现」的价值可能超过了「技术创新 + 基础设施」。试问,当炮制赌博平台比推动技术创新更赚钱,谁还会去啃 infra 这根硬骨头,很难想象,这种新的价值导向会产生怎样的灾难式行业连锁反应。

一方面,会有更多资本和人才涌入 MEME 相关的基础设施建设;另一方面,也可能加剧行业的「娱乐化」趋势,让真正的技术创新被边缘化。

总的来说,Pump.fun 发币这件事,既是 MEME 经济走向成熟的标志,也可能是行业价值观沦陷的信号弹。

关键在于,它能否在获得巨额资本后,真正构建出可持续的商业护城河,要不然这种畸形的估值会给整个行业带来莫大的创新灾难,预示着一个更加功利、更加短视、更加远离技术极客本源的 Crypto 未来。

原文链接

Related Reads

Apple and the Power Rebalancing with 'The Microns': Dissecting the Profit Ledger Behind the iPhone

The article analyzes the shifting profit dynamics and power balance between Apple and memory suppliers like Micron within the iPhone supply chain. It highlights a social media post criticizing Apple for raising iPhone prices while blaming memory chip cost increases, despite historically paying suppliers like Micron very little. An estimated iPhone 18 cost breakdown is referenced. Historically, memory was a minor cost component. In 2017's iPhone X, memory accounted for only about 1.6-2.3% of the price, with Apple capturing nearly 50% net profit. Over time, memory's share of the Bill-of-Materials (BOM) cost has grown significantly, reaching an estimated 12-15% for the iPhone 17 series. The core driver of this change is soaring demand for memory from the AI industry, particularly for High Bandwidth Memory (HBM) and AI servers, which is diverting production capacity and squeezing supply for consumer electronics. Memory manufacturers, after enduring periods of low profits, now hold greater pricing power. This is reflected in their recent strong financials, like Micron's 84.6% gross margin. Apple CEO Tim Cook initially described the memory price pressure as unprecedented in his 40-year career, later calling it a "once-in-a-century flood," before Apple announced price hikes across several product lines, causing a significant stock drop. Elon Musk echoed Cook's sentiment about the dramatic cost surge. The article concludes that the era of memory suppliers being at the mercy of Apple's pricing power has temporarily reversed, thanks to AI-driven demand. It notes Apple is reportedly seeking to diversify its supply chain, including exploring chips from China's CXMT.

Odaily星球日报9m ago

Apple and the Power Rebalancing with 'The Microns': Dissecting the Profit Ledger Behind the iPhone

Odaily星球日报9m ago

Conversation with the Founder of 42 Macro: The Fed's 'Boiling the Frog Slowly' and the K-Shaped Economy

In a conversation with Anthony Pompliano, Darius Dale, founder of 42 Macro, discusses the Federal Reserve's monetary policy and the K-shaped U.S. economy. Dale characterizes new Fed Chair Kevin Warsh as a "dove in hawk's clothing," expecting the Fed to signal or enact policy tightening in the coming quarters to create room for later easing. He argues current economic signals, including high deficit spending, debt monetization, and credit growth, strongly indicate inflation is not on a credible path back to 2%, forcing the Fed to act. The discussion highlights the stark "K-shaped" economic reality. While top earners, buoyed by massive cash savings (up ~$8 trillion since pre-pandemic), continue robust spending, those at the bottom face severe financial strain, with delinquency rates on consumer loans reaching crisis-era highs. Dale attributes much of the current social and political anxiety to this divergence, driven by the "Cantillon effects" of monetary expansion, which disproportionately benefits asset owners. He emphasizes that in this environment of "financial repression," individuals must participate in asset markets to avoid being left behind. On equities, Dale notes a rotation from the "Magnificent Seven" tech giants into broader AI-exposed companies, while warning that the tech giants' massive capital expenditure cycles could eventually puncture over-optimistic cash flow projections. Dale concludes by stressing that the core desire across all economic strata is simply the dignity to provide for one's family, a goal currently undermined by systemic policies that act as a "wealth siphon" from the bottom to the top.

marsbit38m ago

Conversation with the Founder of 42 Macro: The Fed's 'Boiling the Frog Slowly' and the K-Shaped Economy

marsbit38m ago

The Domestic Answer to Space Computing Power: Photonics Are More Efficient, Musk and Huang's Approaches Are Too Roundabout

The Space Computing Race: A Photonic Advantage The competition for space-based computing has intensified, with figures like Elon Musk and NVIDIA's Jensen Huang highlighting its potential. Musk predicts solar-powered AI satellites could offer the most cost-effective computing by 2032. However, space presents extreme challenges for traditional electronic chips: radiation from cosmic particles can cause errors, the vacuum environment hinders heat dissipation, and limited solar power constrains energy-hungry systems. Photonic computing, using light instead of electrons, offers a promising solution. Its core advantages for space are threefold: 1) **Radiation Resistance**: Photons are charge-neutral, making them inherently immune to particle interference. 2) **Low Heat Generation**: Light propagation in waveguides generates minimal heat, bypassing critical thermal management issues. 3) **Low Power Consumption**: Photonic chips have near-zero static power draw, aligning perfectly with the energy constraints of satellites. Furthermore, for a given payload weight and volume, photonic systems can potentially deliver higher total compute density. Since they require less bulky cooling and power infrastructure, more space can be allocated to the compute units themselves. While photonic computing holds great promise, current industry approaches face hurdles like the memory-compute bottleneck (separate storage and processing) and challenges in large-scale integration. Engineering for space—withstanding launch vibrations and validating full system operation in orbit—remains a critical step. The path forward resembles the evolution from single GPUs to computing clusters, but via a photonic route. As electronic chips approach physical limits in miniaturization, photonic computing and optical interconnects (光算光联) may provide a key alternative to bypass these constraints and define the next generation of space-based computing capabilities.

marsbit1h ago

The Domestic Answer to Space Computing Power: Photonics Are More Efficient, Musk and Huang's Approaches Are Too Roundabout

marsbit1h ago

Trading

Spot
活动图片