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

marsbitPublished on 2026-01-20Last updated on 2026-01-20

Abstract

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.

Related Questions

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.

Related Reads

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.

marsbit3m ago

The First Case on AI Agents: What Was Adjudicated?

marsbit3m ago

Fired by Google Over a 14-Page Paper, Over 4,000 Rallied for Her. 6 Years Later: She Almost Predicted the Entire AI Era Back Then.

In late 2020, Google AI researcher Timnit Gebru was effectively dismissed following a conflict over a 14-page, unpublished research paper she co-authored titled "On the Dangers of Stochastic Parrots." The paper, which has since been cited over 14,000 times, raised critical early warnings about the risks of large language models (LLMs). It argued that these models, trained on vast, biased internet data, are essentially "stochastic parrots" that mimic language without true understanding, potentially amplifying societal biases, generating plausible but false information (later termed "AI hallucination"), consuming massive energy, and obscuring their training data contents. Gebru's stance led to a clash with Google management, who requested the paper's withdrawal. Her subsequent internal criticism of the company's diversity efforts and handling of the matter culminated in her termination, which sparked protests from over 4,000 Google employees and researchers. Six years later, the paper's predictions have proven remarkably prescient. Issues like AI hallucination, embedded bias (evident in resume screening and healthcare algorithms), soaring energy consumption from AI data centers, unvetted training data containing harmful content, and the risk of "model collapse" from AI-generated internet content have become central industry challenges. The incident also highlighted concerns about AI development being driven primarily by commercial competition within a handful of powerful tech companies, often at the expense of ethical considerations. After leaving Google, Gebru founded the Distributed AI Research Institute (DAIR) to explore these issues independently. The controversy underscores how her early, critical insights into the fundamental limitations and societal impacts of LLMs anticipated many of the most pressing dilemmas in today's AI era.

marsbit4m ago

Fired by Google Over a 14-Page Paper, Over 4,000 Rallied for Her. 6 Years Later: She Almost Predicted the Entire AI Era Back Then.

marsbit4m ago

Elderly Borrow Money to Trade Stocks, Entire Nation Adds Leverage: 'Ant Army' Panics as South Korean Stock Market Plunges

Titled "Panic Among 'Ant Army' as South Korean Stocks Plunge After Elders Borrow to Invest, Everyone Leverages Up," this article details a dramatic reversal in South Korea's red-hot stock market. After a sustained rally toward 9,000 points driven by AI semiconductor hype, the KOSPI index recently crashed, triggering circuit breakers. The sell-off was led by major chipmakers Samsung Electronics and SK Hynix, whose combined weight in the index is over 50%. The plunge exposed the extreme leverage and speculative behavior that fueled the boom. Individual investors, dubbed the "ant army," had borrowed heavily or used leverage ETFs to chase gains, with trading accounts outnumbering the population. A significant portion of this leveraged money came from older citizens, some of whom reportedly cashed out insurance policies to invest. ETF trading became dominated (over 90%) by high-risk leveraged and inverse products. The correction was triggered by a pullback in U.S. tech stocks, leading to a foreign capital exodus and a weakening Korean won, creating a vicious cycle. While President Lee Jae-myung attempted to reassure markets and NVIDIA's CEO signaled support during a visit, officials like Finance Minister Ju Yeong-geun expressed concern over the dangerous "herd mentality." The article highlights a pervasive, high-risk investment culture where everyone from office workers to retirees and even parents opening accounts for newborns sought quick profits, largely concentrated in a few tech stocks, setting the stage for a sharp and painful correction.

marsbit10m ago

Elderly Borrow Money to Trade Stocks, Entire Nation Adds Leverage: 'Ant Army' Panics as South Korean Stock Market Plunges

marsbit10m ago

From Hunyuan to WeChat AI: Tencent's Slow Paced Journey Reaches the Delivery Juncture

On June 8, 2026, WeChat's developer platform announced the internal testing of "WeChat AI," an AI assistant integrated into the WeChat ecosystem. It allows users to invoke, access, and operate Mini Programs through natural language conversation. The platform offers two access modes: an "Automatic Mode" where developers authorize platform access to their source code for zero-configuration AI operation, and a "Developer Mode" for building custom skills. While the name "WeChat AI" is provisional, this marks WeChat's first step in opening its vast Mini Program ecosystem—comprising over 400,000 developers and hundreds of millions of daily active users—to AI-driven conversational interaction. This move represents the latest step in Tencent's deliberate AI strategy, moving from technical R&D and standalone product validation to integration within its super-app. The underlying foundation is Tencent's self-developed Hunyuan large language model. Ranked first domestically in application-oriented capabilities like Agent task execution in 2025, Hunyuan's focus on stability and precision over raw parameter count aligns with WeChat AI's need for reliable, low-latency operations involving sensitive tasks like payments and bookings. Prior C-side validation came from "Yuanbao," a standalone AI app whose Monthly Active Users (MAU) surpassed 114 million during the 2026 Chinese New Year红包 campaign, though daily activity later subsided. This "pulse growth" highlighted the challenge of user retention for standalone apps, informing the decision to integrate AI natively into WeChat's high-frequency scenarios. However, WeChat AI's "Automatic Mode," which requires source code access, raises developer concerns about code security, data visibility, and liability for AI errors. A deeper, ecosystem-level tension exists between the efficiency of centralized AI task调度 and the potential "short-circuiting" of merchant pages, which could erode their branding, advertising revenue, and user engagement. As Tencent Chairman Pony Ma noted, balancing centralized AI调度 with the protection of decentralized merchant traffic is a core challenge. In summary, Tencent's AI path—comprising the stable Hunyuan base model, the user-validated Yuanbao app, and the newly testing WeChat AI integration—is logically coherent. The success of WeChat AI now hinges on resolving developer trust, establishing fair ecosystem rules for merchants, and ensuring operational reliability to gain user confidence for deep, transactional use.

marsbit10m ago

From Hunyuan to WeChat AI: Tencent's Slow Paced Journey Reaches the Delivery Juncture

marsbit10m ago

STRC Briefly Fell Below $91: Will Strategy Be Hunted by 'Market Fear'?

The article draws a parallel between FTX's 2022 collapse and the current situation facing MicroStrategy (Strategy), a major corporate holder of Bitcoin. The author argues that MicroStrategy's financial model, heavily reliant on issuing equity and convertible debt at a premium to its Bitcoin holdings, is under stress. The core issue is the compression of MSTR's stock premium over its Bitcoin holdings (NAV). This erodes the viability of its "flywheel" – using equity sales to buy more Bitcoin. The company has shifted towards preferred shares (like STRC) and debt to raise capital, incurring significant dividend and interest obligations (approximately $1.7 billion annually). With cash reserves dwindling and debt maturities looming, MicroStrategy faces mounting pressure to generate cash. The article outlines three problematic options: 1) cutting preferred dividends, damaging investor confidence; 2) issuing more MSTR stock at low premiums, diluting existing shareholders; or 3) selling Bitcoin, which founder Michael Saylor had vowed against but recently did in a small symbolic transaction. The author suggests that, like FTX, a crisis of confidence could trigger a rapid downward spiral as investors flee. While noting Saylor's actions are legal—unlike SBF's fraud at FTX—the article warns the structural risk born from financial engineering and over-leverage is significant. The preferred path out is a sharp rise in Bitcoin's price to restart the premium flywheel, but this would only create a larger, more complex system vulnerable to future failure. The author concludes by advocating for direct Bitcoin ownership over exposure through MicroStrategy's increasingly risky financial structure.

Foresight News25m ago

STRC Briefly Fell Below $91: Will Strategy Be Hunted by 'Market Fear'?

Foresight News25m ago

Trading

Spot
Futures
活动图片