What Happens to Ethereum Developer Tools After the Grants Run Out?

marsbitPublished on 2026-05-12Last updated on 2026-05-12

Abstract

On February 27th, the Ethereum Foundation (EF) announced Project Odin, a structured sustainability support program designed for a select group of strategic, previously grant-funded teams. Unlike a standard grant, Odin offers a long-term advisory mechanism focused on helping these teams establish credible, sustainable paths within a two-year framework, thereby reducing long-term dependence on single funding sources. The program addresses a critical post-grant challenge: how essential public goods, especially major developer tools, can achieve financial sustainability beyond initial funding. While grants from EF and programs like Gitcoin or RetroPGF remain vital for startups and research, they often fall short for mature, widely-used infrastructure. Tools like compilers, languages, and network stacks are deeply embedded but struggle with monetization, trapped between being too foundational to lose and too public to generate natural revenue. Project Odin provides teams with a dedicated Strategic Advisor to guide them through a three-phase process: 1) analyzing current funding and realistic options, 2) validating potential paths with stakeholders, and 3) executing plans, which may include crafting support contracts, service agreements, or other recurring revenue models. The first pilot participant is Vyper, a critical smart contract language for the EVM, highlighting the need for sustainable models for core infrastructure. The initiative reframes the public goods conversation ...

On February 27th, Raul Romanutti, a member of the Ethereum Foundation's funding coordination team, published an article titled "This Is Fine (Until the Grant Runs Out)." The article introduced Project Odin – a structured sustainability support program aimed at a select, strategic group of teams that have previously received substantial grants from the EF.

Viewed purely at the information level, Odin could easily be categorized as "the EF launching another public goods funding program." However, it differs from common grant programs: recipient projects are not given a new infusion of startup capital, nor is it an open application opportunity. Instead, it is a long-term accompaniment mechanism for existing grant-funded teams. The EF Blog outlines a goal set within a two-year timeframe: to help these teams establish credible, sustainable paths and reduce long-term reliance on a single funding source. The embedded strategic advisor will accompany and assist with execution for approximately 12 months.

Odin is concerned with the road *after* the grant.

The key point highlighted in 0xRahul's tweets also lies here. He did not frame the issue as "whether the EF should continue funding public goods," but rather focused on the sustainability of developer tool teams: large, complex, heavily used open-source tools cannot be sustained long-term on passion or short-term grants alone.

Past discussions in the Chinese community about public goods have often revolved around Gitcoin donations, RetroPGF distributions, EF grant lists, or whether a particular project deserves donations. Project Odin points to a later stage: after a public goods project has already proven its importance, how can it avoid being pulled along by the next grant?

Grants are still important, but the questions are starting to change

First, let's dispel a misinterpretation: Project Odin is not a signal that the EF is stopping public goods funding.

From recent public information, the EF continues to fund protocol research, clients, cryptography, ZK, developer tools, education, and public goods experiments. Projects listed in the EF Ecosystem Support Program's Q1 2026 Allocation Update still cover multiple infrastructure and tool directions, including EthereumJS maintenance, BuidlGuidl, WalletConnect clear signing library, L2BEAT 2026, DISC-NG Geth, Lighthouse, Vero, formal verification, and more. Similar quarterly grant lists have been appearing for several years.

Grants haven't disappeared; it's just that they alone cannot solve all problems.

For early-stage projects, grants can reduce startup costs; for research-oriented work, grants can cover exploratory efforts not easily commercialized; for community education and public infrastructure, grants remain a crucial funding source. However, if a tool team already heavily relied upon by numerous projects has only one primary funding source long-term, the risk becomes concentrated.

The EF Blog mentions that many teams are not lacking in technical ability; their shortfalls appear in non-technical capacities like fundraising, external communication, organizational design, and legal structure. Teams can write compilers, conduct research, and maintain network stacks, but may not have the bandwidth to answer questions like: Who depends on us the most? Which users are willing to sign long-term support contracts? Which tasks could be procured by enterprises? What revenue streams would not compromise the project's neutrality?

Odin aims to supplement these very capabilities.

Why developer tools most easily get stuck here

In his long thread, 0xRahul listed four traditional developer tool models: large corporate open-source, bundling with a larger product, commercial SaaS, and unpaid maintenance.

Applying these four models to Ethereum reveals clear limitations.

Tools open-sourced by large corporations are often powerful, but their longevity depends on corporate strategy. The ecosystem benefits while the company is willing to invest; when the company's direction shifts, maintenance priority often follows. For an ecosystem like Ethereum, which emphasizes credible neutrality, entrusting critical tools to the long-term interest of a single company is unstable.

Tools bundled with large products are similar. They can serve users of a specific product line or platform well but struggle to remain fully open. Ethereum developer tools need to work across wallets, clients, L2s, and protocols; walled gardens weaken their public good nature.

Commercial SaaS can solve some problems, but not all. Many crypto teams are still in their early stages with limited R&D budgets. More importantly, tools like compilers, languages, base libraries, network stacks, and transparency platforms often derive their value from the security and efficiency of the entire ecosystem, making direct per-user charging difficult.

Finally, there's unpaid maintenance. Small libraries or personal tools can progress in the short term based on interest, but not large-scale infrastructure. Compilers require long-term testing and security response; languages require roadmaps and community governance; P2P network stacks require cross-project coordination; risk monitoring platforms require continuous data maintenance. These are not one-time tasks.

Developer tools often fall into an awkward position: they are too foundational, and no one wants to lose them; yet they are too public, making it hard to naturally generate revenue.

Project Odin is not an "accelerator"

The EF Blog describes Odin as a structured support program, but it's not the same as a startup accelerator.

Accelerators typically serve growth-stage companies, with goals around product, market, fundraising, and scaling. Odin does not require public goods teams to pitch a venture-scale story; it cares about whether these teams can continue delivering across multiple funding cycles, gradually becoming more stable institutions.

Odin's basic mechanism is that each team gets an embedded strategic advisor. This advisor isn't there for a one-off training session but to participate long-term in the team's sustainability planning and execution. The process roughly includes three stages:

  • The first stage involves sorting realistic options. What is the team currently surviving on? What fundraising methods have been tried before? Who in the ecosystem benefits from it? What funding channels are available? What are the trade-offs of each channel?
  • The second stage involves validating paths. For example, initiating conversations with potential funders, partners, enterprise users, DAO delegates, or protocol teams to assess which directions are viable beyond paper plans.
  • The third stage is execution. This includes preparing fundraising or partnership materials, building a pipeline of collaborations, and, when necessary, designing support contracts, service agreements, or other repeatable forms of revenue.

This process might sound less inspiring than the "public goods" narrative, but it addresses a project's most immediate reality: a team cannot afford to start looking for its next funding source only when the runway is nearly depleted.

Why Vyper was selected

Vyper is the first pilot participant in Project Odin.

This choice is not surprising. Vyper is a Pythonic smart contract language for the EVM, emphasizing security, simplicity, and readability. The EF Blog mentions that Vyper has, at its historical peak, secured over $27 billion in on-chain value. Even today, it still underpins thousands of contracts and tens of billions in TVL.

Languages and compilers are classic public infrastructure. When they encounter issues, the impact isn't on a single application, but on all protocols and developers that depend on them. Yet, from a business model perspective, such projects are difficult: the core language should remain open, while security and formal verification capabilities require continuous investment. Relying solely on community donations can hardly support a long-term team.

The establishment of the Foundation for Verified Software (FVS) by the Vyper team precisely brings this problem to the forefront. The FVS website shows the institution focuses on formal verification research, open tools, and ecosystem support, with current projects including Vyper, Vyper-HOL, Verifereum, and HOL4. The EF Blog also discusses Vyper / FVS in its position as the first Odin pilot.

This is not yet a proven commercial model. More accurately, it's an experimental organizational form: a foundation undertakes long-term research and open-source tools, while the team explores whether stable revenue can be formed around formal verification, auditing, training, support contracts, or enterprise POCs.

In the context of the Chinese community, Vyper is more than just "a language project receiving EF support." As DeFi, L2s, and institutional funds place higher demands on contract security, capabilities like formal verification may gradually shift from research topics to procurable professional services.

libp2p and L2BEAT: Two contrasting cases

The EF Blog begins by mentioning libp2p. It's a P2P networking stack used by many Web3 systems, including Ethereum clients for node discovery, message propagation, and block and validator vote propagation. The EF Blog uses it as a recent case of funding pressure to illustrate that widely depended-upon open-source infrastructure can also reach a state of calling for help when resources are insufficient.

This case highlights the funding dilemma of foundational dependencies: the more foundational a tool is, the more users it has, yet direct payment relationships become less clear. Every project wants libp2p to be stable, but it's difficult to say which single project should bear the main maintenance cost.

L2BEAT provides another perspective.

L2BEAT is a transparency tool very familiar to the Chinese community, long-tracking L2, bridge, DA, ZK risks and data. It is not an Odin pilot, but its publicly disclosed funding sources make it suitable as a case study for funding portfolio diversification.

According to L2BEAT's donation page, its funding sources include a Partnership Fund, Ethereum Foundation grants, Optimism RPGF, Gitcoin, rewards and compensation for participating in L2 governance frameworks, specific grants, conference sponsorships, report and dashboard exploration, and direct community donations.

This list is interesting. It shows that public goods teams do not necessarily have only two paths: rely entirely on grants or become a SaaS. A team providing neutral data and professional judgment long-term can receive support from multiple ecosystem actors. But the prerequisite is that it needs to clearly articulate its funding sources, allowing the outside world to continuously examine its incentive structure.

Combining funding mechanisms, not betting on a single answer

In recent years, the Chinese community has become relatively familiar with public goods funding mechanisms like Gitcoin, Optimism Retro Funding, Protocol Guild, and Drips. They are often discussed in contexts like "diversification of funding sources" and "sustainable revenue streams."

However, these mechanisms address different problems: Gitcoin Grants is better suited for aggregating community signals and helping early-stage public goods gain exposure and seed funding; Optimism Retro Funding rewards work that has already had an impact, suitable for compensating past contributions; Protocol Guild targets Ethereum L1 core R&D contributors, establishing a longer-term on-chain funding mechanism; Drips focuses on dependency funding, aiming for funds to flow upstream to open-source projects along dependency lines.

For large developer tool teams, the key is not to pick the single best answer from these mechanisms, but to understand the applicable boundaries of each funding type. QF requires projects to repeatedly campaign for votes; Retro Funding results carry uncertainty; DAO grants are affected by governance cycles and token volatility; direct donations typically cannot cover stable team costs.

The focus of Project Odin is also not to invent a new funding mechanism, but to help teams combine existing mechanisms and potential revenue streams: grants can support research, retro funding can reward impact, DAOs or protocols can provide targeted support, enterprise users can purchase services or support contracts, partners can co-develop POCs.

These sound like ordinary business problems, but for many public goods teams, ordinary business capability is precisely the shortfall. What Odin truly supplements is the ability to translate "the project has value" into "who depends on it, who is willing to support it continuously, and what revenue would not harm its public good nature."

In other words, "beyond grants" is not a slogan, but a more concrete set of funding portfolios, cooperative relationships, and organizational capabilities.

How the Chinese community might understand this

The Chinese community has typically approached public goods from two entry points.

One entry point is donation. For example, when each Gitcoin round begins, there are project recommendations, donation tutorials, and interaction guides. Public goods here resemble an act of community participation.

The other entry point is news. For example, the EF announces its quarterly grant list, Optimism opens Retro Funding, or a project receives a grant. Public goods here resemble the flow of ecosystem capital.

Project Odin provides a third entry point: the long-term operation of public goods teams.

For the Chinese community, this angle is closer to developers and protocol teams. If a protocol relies long-term on a particular open-source library, risk data platform, compiler, verification tool, or security infrastructure, it should not merely retweet calls for help when funding is low. A more reasonable approach is to list these dependencies in its own ecosystem budget: Which tools are our critical dependencies? Should we provide long-term support? Do we need to purchase support contracts? Should we participate in dependency funding? Should we allocate public goods expenditure in our governance budget?

Framing it as a charity issue isn't accurate; it's closer to a supply chain issue. Public goods are important not because they are "worthy of donations," but because many teams already depend on them in their daily development, security, data, and governance judgments. Since this dependency is real, supporting them is not merely an expression of goodwill but also a form of ecosystem risk management.

If a protocol is willing to spend on market making, incentives, growth, and branding but unwilling to pay for the foundational tools it depends on, it isn't saving costs; it's shifting those costs onto the maintainers and the entire ecosystem. The reason Project Odin deserves attention is precisely because it pushes this issue one step beyond "who is willing to fund": whoever truly depends on these teams should participate earlier in designing their sustainability.

Project Odin will not solve all public goods funding problems. It is currently only a structured support program for a select, strategic group of previously funded teams. But it clarifies a long-deferred problem: public goods projects cannot only prove their value when applying for grants; they must also, in their daily operations, identify who truly depends on them, who is willing to support them continuously, and what kind of revenue will not compromise their public good nature.

This might be a signal of Ethereum's public goods discussion entering its next stage. The past question was "who should be funded"; the question now is beginning to become "how can teams that have already proven their importance avoid having their fate decided by the next grant."

Related Questions

QWhat is the main focus of Project Odin as described in the article?

AProject Odin focuses on providing structured, long-term sustainability support for select, strategically important developer tool teams that have previously received large Ethereum Foundation grants. It aims to help these teams build credible, long-term sustainability paths and reduce dependency on a single funding source over a two-year framework.

QAccording to the article, what is a key limitation of traditional grant funding for established developer tools?

AA key limitation is that while grants are crucial for initial funding and non-commercial work, they do not address the long-term sustainability challenge for large, complex, and heavily used tools. Relying solely on recurring grants creates centralized risk, as teams often lack the non-technical skills (like fundraising, communication, organizational design) needed to secure diverse, stable funding.

QWhy are Ethereum developer tools particularly vulnerable to funding challenges, as explained in the text?

AEthereum developer tools are vulnerable because they are often too foundational and public. They are critical for the entire ecosystem's security and efficiency, making them difficult to monetize directly per user. Traditional models like corporate open-source, bundled products, or pure SaaS are not always suitable for maintaining the neutrality and wide accessibility these public goods require.

QHow does Project Odin's approach differ from a typical startup accelerator?

AProject Odin differs from a startup accelerator by not focusing on venture-scale growth, product-market fit, or scaling. Instead, it provides long-term, hands-on strategic advisory support (for about 12 months) to help public goods teams develop sustainable operational and funding models, navigate partnership pipelines, and build institutional stability without compromising their public mission.

QWhat new perspective does the article suggest for the Chinese community regarding public goods funding?

AThe article suggests the Chinese community should view public goods funding less as a charitable act (donations) or just news about fund allocation, and more as an issue of ecosystem supply chain management. Protocols that depend on critical tools should proactively include support for them in their budgets—through long-term contracts, dependency funding, or service purchases—as a form of risk management, not just goodwill.

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What is AGENT S

Agent S: The Future of Autonomous Interaction in Web3 Introduction In the ever-evolving landscape of Web3 and cryptocurrency, innovations are constantly redefining how individuals interact with digital platforms. One such pioneering project, Agent S, promises to revolutionise human-computer interaction through its open agentic framework. By paving the way for autonomous interactions, Agent S aims to simplify complex tasks, offering transformative applications in artificial intelligence (AI). This detailed exploration will delve into the project's intricacies, its unique features, and the implications for the cryptocurrency domain. What is Agent S? Agent S stands as a groundbreaking open agentic framework, specifically designed to tackle three fundamental challenges in the automation of computer tasks: Acquiring Domain-Specific Knowledge: The framework intelligently learns from various external knowledge sources and internal experiences. This dual approach empowers it to build a rich repository of domain-specific knowledge, enhancing its performance in task execution. Planning Over Long Task Horizons: Agent S employs experience-augmented hierarchical planning, a strategic approach that facilitates efficient breakdown and execution of intricate tasks. This feature significantly enhances its ability to manage multiple subtasks efficiently and effectively. Handling Dynamic, Non-Uniform Interfaces: The project introduces the Agent-Computer Interface (ACI), an innovative solution that enhances the interaction between agents and users. Utilizing Multimodal Large Language Models (MLLMs), Agent S can navigate and manipulate diverse graphical user interfaces seamlessly. Through these pioneering features, Agent S provides a robust framework that addresses the complexities involved in automating human interaction with machines, setting the stage for myriad applications in AI and beyond. Who is the Creator of Agent S? While the concept of Agent S is fundamentally innovative, specific information about its creator remains elusive. The creator is currently unknown, which highlights either the nascent stage of the project or the strategic choice to keep founding members under wraps. Regardless of anonymity, the focus remains on the framework's capabilities and potential. Who are the Investors of Agent S? As Agent S is relatively new in the cryptographic ecosystem, detailed information regarding its investors and financial backers is not explicitly documented. The lack of publicly available insights into the investment foundations or organisations supporting the project raises questions about its funding structure and development roadmap. Understanding the backing is crucial for gauging the project's sustainability and potential market impact. How Does Agent S Work? At the core of Agent S lies cutting-edge technology that enables it to function effectively in diverse settings. Its operational model is built around several key features: Human-like Computer Interaction: The framework offers advanced AI planning, striving to make interactions with computers more intuitive. By mimicking human behaviour in tasks execution, it promises to elevate user experiences. Narrative Memory: Employed to leverage high-level experiences, Agent S utilises narrative memory to keep track of task histories, thereby enhancing its decision-making processes. Episodic Memory: This feature provides users with step-by-step guidance, allowing the framework to offer contextual support as tasks unfold. Support for OpenACI: With the ability to run locally, Agent S allows users to maintain control over their interactions and workflows, aligning with the decentralised ethos of Web3. Easy Integration with External APIs: Its versatility and compatibility with various AI platforms ensure that Agent S can fit seamlessly into existing technological ecosystems, making it an appealing choice for developers and organisations. These functionalities collectively contribute to Agent S's unique position within the crypto space, as it automates complex, multi-step tasks with minimal human intervention. As the project evolves, its potential applications in Web3 could redefine how digital interactions unfold. Timeline of Agent S The development and milestones of Agent S can be encapsulated in a timeline that highlights its significant events: September 27, 2024: The concept of Agent S was launched in a comprehensive research paper titled “An Open Agentic Framework that Uses Computers Like a Human,” showcasing the groundwork for the project. October 10, 2024: The research paper was made publicly available on arXiv, offering an in-depth exploration of the framework and its performance evaluation based on the OSWorld benchmark. October 12, 2024: A video presentation was released, providing a visual insight into the capabilities and features of Agent S, further engaging potential users and investors. These markers in the timeline not only illustrate the progress of Agent S but also indicate its commitment to transparency and community engagement. Key Points About Agent S As the Agent S framework continues to evolve, several key attributes stand out, underscoring its innovative nature and potential: Innovative Framework: Designed to provide an intuitive use of computers akin to human interaction, Agent S brings a novel approach to task automation. Autonomous Interaction: The ability to interact autonomously with computers through GUI signifies a leap towards more intelligent and efficient computing solutions. Complex Task Automation: With its robust methodology, it can automate complex, multi-step tasks, making processes faster and less error-prone. Continuous Improvement: The learning mechanisms enable Agent S to improve from past experiences, continually enhancing its performance and efficacy. Versatility: Its adaptability across different operating environments like OSWorld and WindowsAgentArena ensures that it can serve a broad range of applications. As Agent S positions itself in the Web3 and crypto landscape, its potential to enhance interaction capabilities and automate processes signifies a significant advancement in AI technologies. Through its innovative framework, Agent S exemplifies the future of digital interactions, promising a more seamless and efficient experience for users across various industries. Conclusion Agent S represents a bold leap forward in the marriage of AI and Web3, with the capacity to redefine how we interact with technology. While still in its early stages, the possibilities for its application are vast and compelling. Through its comprehensive framework addressing critical challenges, Agent S aims to bring autonomous interactions to the forefront of the digital experience. As we move deeper into the realms of cryptocurrency and decentralisation, projects like Agent S will undoubtedly play a crucial role in shaping the future of technology and human-computer collaboration.

677 Total ViewsPublished 2025.01.14Updated 2025.01.14

What is AGENT S

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