Pump.fun Launches Direct Investment, Spending $3 Million to Buy 12 New Memes

marsbitPublicado em 2026-01-20Última atualização em 2026-01-20

Resumo

Pump.fun, a leading Meme token launch platform, has announced the creation of its investment arm, Pump Fund. The fund will launch its first initiative, the Build in Public (BiP) hackathon, this month. With a total allocation of $3 million, it plans to invest $250,000 into each of 12 new tokens launched on its platform, valuing each project at $10 million. Beyond funding, selected projects will receive mentorship from Pump.fun’s founders and additional resources. This marks Pump.fun’s first direct financial endorsement of specific Meme tokens, signaling strong support for promising new projects. The platform, known for its substantial revenue—reportedly over $954.8 million historically—aims to reinvest in the ecosystem beyond token buybacks. The BiP hackathon encourages founders to publicly build products after launching a token on Pump.fun. Key requirements include retaining at least 10% of the token supply and maintaining active communication with supporters via social media and live streams. Project selection will prioritize organic user growth, genuine market appeal, and long-term sustainability over hype. Applications opened on January 19 and will run for 30 days. The first winning projects will be announced on February 18, though the program will continue indefinitely. For those tracking potential opportunities, new tokens on Pump.fun—especially those tagged with Pump Fund or BiP—are worth monitoring closely in the coming weeks.

Original | Odaily Planet Daily (@OdailyChina)

Author | Azuma (@azuma_eth)

On the morning of January 20, Pump.fun officially announced the launch of its investment division, Pump Fund. Pump Fund will initiate its first project, the Build in Public (BiP) hackathon, this month, investing $3 million in 12 new tokens issued through the platform, with $250,000 allocated to each token, corresponding to a valuation of $10 million. In addition to financial support, Pump.fun will also provide professional guidance from its founders and other substantial resources.

As the project with the strongest revenue-generating capability in the entire Meme sector, this is the first time Pump.fun has openly expressed its support for specific Meme tokens through official channels with real money (the attitude may be more important than the funding scale). Therefore, the selected tokens are highly likely to become the seed candidates in the Meme sector in the coming period.

Pump.fun's Revenue-Generating Capability

Pump.fun's staggering revenue capability is no secret. Data compiled by analyst Adam (@Adam_Tehc) on Dune shows that Pump.fun's historical total revenue has reached $954.8 million. Although daily revenue has significantly declined as the Meme hype cooled, it still amounts to hundreds of thousands of dollars per day.

Holding massive real funds, Pump.fun is exploring other paths for ecosystem feedback beyond PUMP token buybacks. Pump Fund and its affiliated BiP hackathon are Pump.fun's latest attempts.

BiP Hackathon Details

According to the description on the BiP hackathon's dedicated page, the project aims to support founders who issue tokens on Pump.fun and publicly build products. Unlike traditional hackathons where participants rely on VCs or judges for evaluation to compete for prizes, the BiP hackathon intends to introduce token performance as a variable, allowing the market to determine whether a project is worth advancing and enabling users to become the earliest investors.

When discussing this key difference, Pump.fun founder Alon stated in an X post: "Before Pump.fun, my co-founder and I tried many different ideas. Consumer finance, DeFi, SocialFi, NFTs—but all failed. One of the biggest problems we encountered was that we found it extremely difficult to get our products in front of users. Trying to reach the right user base was an incredibly tedious task..."

Specifically, the BiP hackathon requires:

  • Participants must issue a token on Pump.fun and then publicly build a product;
  • Participants must also hold at least 10% of the token supply to align interests;
  • Finally, the event strongly encourages founders to speak publicly on social media like X or livestream on Pump.fun to maintain effective communication with the community.

As for the types of participating projects, Pump.fun imposes no restrictions; they are not even limited to cryptocurrency-related products. Projects from different market stages and various verticals can participate.

Regarding how the 12 winning projects will ultimately be selected, Pump.fun did not provide specific rules but pointed out two main principles: First, organic user growth and genuine appeal are preferred over connections and flashy promotions; second, in addition to the appeal of the product itself/social media, the long-term sustainability of the project will also be evaluated.

Key Timelines to Note

According to the BiP hackathon's schedule, applications opened on January 19. Participants are required to launch their tokens at the time of application and begin public building (including livestreaming development progress, regularly sharing updates, and maintaining community interaction). The application window will be open for 30 days. On February 18, Pump.fun will announce the first batch of winning projects and provide funding (at least one will be announced). Considering that some projects may need more time to gain market attention and demonstrate appeal, the program will continue to run long-term.

So the timeline is clear: if you want to spot potential opportunities among this batch of Meme tokens, you need to start paying attention to newly issued tokens on Pump.fun from now on, especially those with the Pump Fund or BiP labels. Although the first batch of winning tokens won't be announced until 30 days later, tokens likely to be selected by Pump.fun will inevitably show competitiveness before then.

Overall, while Pump.fun's event may not drive a collective sentiment recovery in the Meme market, it can at least contribute some new tokens with clearer evaluation dimensions.

Perguntas relacionadas

QWhat is the purpose of Pump Fund's first project, the Build in Public (BiP) hackathon?

AThe BiP hackathon aims to support founders who launch tokens on Pump.fun and publicly build products. It will invest $3 million in 12 new tokens, with $250,000 per token at a $10 million valuation, and provide professional guidance and resources.

QHow much total revenue has Pump.fun generated historically according to data analyst Adam?

APump.fun's historical total revenue has reached $954.8 million.

QWhat are the key requirements for participants in the BiP hackathon?

AParticipants must issue a token on Pump.fun, publicly build a product, hold at least 10% of the token supply to align interests, and are strongly encouraged to communicate publicly on social media like X or via live streams on Pump.fun.

QWhen will Pump.fun announce the first batch of winning projects for the BiP hackathon?

APump.fun will announce the first batch of winning projects on February 18, after the 30-day application window that started on January 19.

QWhat principles will Pump.fun use to select the 12 winning projects in the BiP hackathon?

ASelection will prioritize organic growth and genuine user attraction over relationships and flashy marketing, and will evaluate projects based on long-term sustainability alongside product and social media appeal.

Leituras Relacionadas

Is AI Creating a New Class of 'Information Poor'?

AI is generating a new kind of "information poverty." The core issue isn't that AI denies answers to the poor; it's that it provides abundant, cheap, and plausible-sounding answers to everyone. This availability shifts the true scarcity from obtaining answers to possessing the **judgment to evaluate them** and the access to turn them into real-world opportunities. New information poverty thus describes those who have AI tools and outputs, but lack the complementary skills, authorization, and contextual experience to critically assess and act on them. Research reveals a multi-layered divide: access to AI is stratified by income and platform design (e.g., premium vs. free, embedded tools). In workplaces, usage heavily favors higher-paid, more experienced, or formally trained employees, with AI often automating entry-level tasks that were traditional stepping stones. Crucially, the heaviest users are often mid-career professionals whose existing expertise allows them to effectively judge and leverage AI outputs, while novices risk over-relying on them without building judgment. While controlled experiments show AI can significantly boost low-skilled workers' performance, real-world adoption and benefit are constrained by unequal social and organizational structures. Historically, general-purpose technologies first reward those with existing complementary capital. AI, by affecting judgment-based work, may accelerate and deepen this initial inequality gap, even if it narrows over decades. The danger lies in the illusion of competence it creates, potentially stunting the very critical thinking needed in an era where judgment is paramount.

marsbitHá 5m

Is AI Creating a New Class of 'Information Poor'?

marsbitHá 5m

Jensen Huang 'Saves' South Korean Stock Market: Locks In SK Hynix Memory, Chip Shortage to Continue

On June 5th, South Korea's stock market experienced a sharp decline, with major chipmakers like Samsung and SK Hynix dropping nearly 10%. Amidst the turmoil, NVIDIA CEO Jensen Huang's visit to Seoul played a dramatic role in boosting market sentiment. Following a dinner meeting with SK Group Chairman Chey Tae-won and SK Hynix CEO Kwak Noh-Jung, Huang confirmed that NVIDIA's new Vera CPU will utilize SK Hynix DRAM. The companies announced a multi-year technical partnership to co-develop next-generation memory for NVIDIA's AI infrastructure, covering products from data centers to personal AI and robotics. This collaboration extends beyond memory supply. SK Hynix is integrating NVIDIA's AI and Omniverse platform into its own semiconductor design and manufacturing processes, including computational lithography and creating digital twins of its fabrication plants for autonomous operation. While strengthening ties with SK Hynix, NVIDIA is diversifying its supply chain for the upcoming HBM4 memory, with Samsung, SK Hynix, and Micron all certified as suppliers for its Vera Rubin platform. Despite this, Huang warned that the global chip shortage, driven by relentless demand from AI factory construction, is expected to persist for several years across the entire supply chain. His visit underscores NVIDIA's systematic effort to deepen integration with South Korea's broader tech industry.

marsbitHá 58m

Jensen Huang 'Saves' South Korean Stock Market: Locks In SK Hynix Memory, Chip Shortage to Continue

marsbitHá 58m

Nasdaq Plunges 4.2% in a Single Day: Does "Black Friday" Burst the U.S. Stock Market Bubble?

The Nasdaq plunged 4.18% on June 5, 2026, its worst single-day drop in over a year, as a much stronger-than-expected US jobs report triggered fears of economic overheating and delayed Federal Reserve interest rate cuts. The selloff, centered on high-valuation tech and AI stocks like Nvidia and Broadcom, spread across major indices. The article examines whether this signals a market top. The strong May non-farm payrolls data, nearly double expectations, pushed bond yields higher, directly hurting rate-sensitive tech stocks. This exposed vulnerabilities in the crowded AI trade, where valuations had soared on narratives of infinite growth, despite emerging signs of slowing order momentum and corporate AI monetization challenges. Prior to the drop, market indicators flashed warning signs: historically high valuations (e.g., Shiller CAPE ratio near 39.5), extreme bullish sentiment, and high levels of leverage. Technical charts showed key support levels being breached. Wall Street is divided on the outlook. Bears, citing risks of "stagflation" and AI bubble comparisons to the dot-com era, warn of a potential significant correction. Bulls view the drop as a healthy correction within a bull market, underpinned by a strong economy and expected corporate earnings growth of around 7% in 2026. The immediate future hinges on upcoming key events: the May CPI inflation data and the mid-June FOMC meeting. Their outcomes will critically shape market expectations for the Fed's rate path. The article concludes that conditions for a major market top are aligning, marking a fragile transition from narrative-driven gains to a phase demanding validation from macroeconomic data and corporate fundamentals. Caution is advised.

marsbitHá 1h

Nasdaq Plunges 4.2% in a Single Day: Does "Black Friday" Burst the U.S. Stock Market Bubble?

marsbitHá 1h

Nasdaq Plunges 4.2% in a Single Day, Did 'Black Friday' Pop the U.S. Stock Bubble?

The Nasdaq Composite plummeted 4.18% on June 5, its biggest single-day drop since April 2025, triggering widespread debate over whether the U.S. stock market has peaked. The sell-off was sparked by a stronger-than-expected U.S. non-farm payrolls report, which fueled fears of economic overheating and pushed back market expectations for Federal Reserve rate cuts, leading to a sharp rise in Treasury yields. The AI sector, the primary driver of the recent bull market, suffered severe losses, with the Philadelphia Semiconductor Index crashing over 10%. Stocks like Nvidia, Broadcom, and Micron led the decline. Concerns are mounting about the sustainability of AI capital expenditures and high valuations, with signs of order cuts for next-generation chips emerging. Analyses point to several warning signs: historically high market valuations (e.g., elevated Shiller CAPE ratio, Buffett Indicator), extreme bullish sentiment indicators, and significant insider selling. The sell-off also caused a key technical breakdown, with the S&P 500 breaking below its short-term moving average and testing its 200-day moving average. Wall Street is divided on the outlook. Bears warn this could be the start of a bubble deflation or a "stagflation" scenario, while bulls view it as a healthy, overdue correction within a bull market driven by solid corporate earnings growth. A more moderate view suggests the easy liquidity-driven rally is over, and markets are entering a phase of fundamental stock-picking with potential for consolidation. The immediate future hinges on key upcoming events: the May CPI report and the mid-June FOMC meeting. Their outcomes will be critical in determining whether this is a temporary pullback or the beginning of a more significant trend reversal. The consensus is that the era of one-directional market gains may be ending, requiring increased investor caution.

Odaily星球日报Há 1h

Nasdaq Plunges 4.2% in a Single Day, Did 'Black Friday' Pop the U.S. Stock Bubble?

Odaily星球日报Há 1h

The First Case on AI Agents: What Was Adjudicated?

"The First 'Agent' Ruling: What Was Decided?" On April 30, the Guangzhou Internet Court issued a ruling—China's first behavior preservation order in the intelligent agent (AI agent) field. The defendant, an open-source AI agent software, was ordered to stop downloads, cease actions that bypassed a platform's technical protection measures, and delete related tutorials and data. The core issue: the software used the operating system's "accessibility service" permissions to automate user interactions within other apps without those platforms' authorization. This mirrors a recent US case where Amazon sued Perplexity for similar reasons—bypassing Amazon's API to directly scrape and interact with its pages—and won a preliminary injunction. Both rulings establish a crucial legal boundary for the AI agent era: agents cannot operate unchecked. The article argues the fundamental legal principle emerging is one of **dual authorization**. An AI agent requires both **user consent** AND **platform consent** to operate legitimately within that platform's ecosystem. Bypassing platform rules through system-level permissions, even with user permission, undermines platform responsibilities for content moderation, data security, and user privacy, creating liability issues. The piece uses the evolution of "Doubao Phone" (an AI-integrated smartphone) as a case study. Its initial, aggressive version that bypassed platform controls faced roadblocks. Its upcoming 2.0 version is reportedly pivoting to negotiate API access and authorization deals with major platforms (like Alibaba's ecosystem), seen as a strategic adaptation to the new regulatory reality. A global trend is identified: the era of unregulated, "wild west" growth for AI agents is ending, replaced by a **compliance race**. This raises barriers to entry, as securing platform authorizations becomes a new cost. Open-source status is also not a legal shield if the code facilitates bypassing technical protections. In conclusion, these first rulings target not the largest, but the most **aggressive and representative** cases. By setting precedent with them, regulators are efficiently steering the entire industry towards a new, more regulated operating paradigm defined by dual authorization and platform cooperation.

marsbitHá 1h

The First Case on AI Agents: What Was Adjudicated?

marsbitHá 1h

Trading

Spot
Futuros
活动图片

Categorias popularesright-arrow

Etiquetas Popularesright-arrow