Over 80% of New Tokens Peak at TGE: The Root Cause and Cure for Web3's False Prosperity

marsbitPublished on 2025-12-23Last updated on 2025-12-23

Abstract

Nearly 85% of tokens launched in 2025 have seen their fully diluted valuation (FDV) fall below their initial TGE valuation, with a median decline of 71%. Only 15% of new tokens outperformed their TGE price. This trend reveals systemic issues in the Web3 space, where high fundraising, large communities, and major exchange listings—often considered markers of quality—show no statistical correlation with token performance. Key findings include: - Projects raising $1 million performed similarly to those raising $10 million. Excessive funding often leads to faster token failure due to investor unlocks and market pressure. - Community size (e.g., 50k vs. 500k followers) has no predictive value for token success. Most "communities" are speculative and disappear when prices drop. - Token pricing is critical: tokens priced between $0.01–$0.05 at launch showed the best survival rates, while those outside this range often failed. - AI tokens outperformed others in both peak and sustainability, while Gaming and DeFi sectors struggled severely. - IDO/IEO platforms provided no reliable protection; most launches resulted in significant losses. The root causes include flawed tokenomics, over-reliance on speculative metrics, poor timing, and a market that prioritizes narrative over substance. The article urges builders in 2026 to focus on sustainable fundraising, realistic token pricing, product-market fit, and genuine metrics like user retention and revenue—rather than vanity indicators. T...

Original Author:Solus Group, Crypto Researcher

Compiled by: CryptoLeo(@LeoAndCrypto)

Editor's Note: Recently, analyst Ash stated in a popular post that among over 100 new tokens TGE'd in 2025, 84.7% had an FDV lower than at TGE. The median FDV of these tokens fell by 71% (median market cap fell by 67%) from issuance. Only 15% of tokens saw an increase in FDV compared to TGE. Overall, for new tokens issued in 2025, most tokens fall into the category of "peaking at TGE price".

Following these data points, I found a more interesting article (from Solus Group), which also starts from the project token TGE, analyzing the correlation between the post-TGE performance of 113 tokens in 2025 and their funding situation, community activity, and exchange listings. The research found that high funding, active communities, and exchange listings—common screening criteria for project quality—have little impact on token performance. We often used to combine these conditions to filter good projects, but in 2025, this project evaluation model has "failed". One set of data is particularly thought-provoking:

- Projects trading below their IDO price had an average revenue of $1.36 million.

- Projects trading above their IDO issuance price had an average revenue of $790,000.

But these projects all received venture capital support, indicating to some extent that the market values hype over actual performance, stories over data, and promises over the product itself. Web3 can no longer pretend "everything is fine," nor call bot traffic "growth." Of course, this article only draws some statistical conclusions and is not a standard suitable for all projects. Good projects and large funding rounds still represent the direction of the crypto industry's development. Odaily Planet Daily compiles it as follows:

$2 million in funding, top-tier VC participation, 500,000 community followers, listed on a major exchange, a spectacular first day, jubilation on Discord, and celebratory atmosphere all over social media.

In a previous article, we revealed the reality of the 0.96x ROI: By 2025, the average token effectively died on day one, we proved the system is broken. Now, we analyzed 113 token issuance cases since 2025, proving this with hard data—data most founders dare not face.

The findings are shocking: large funding doesn't help, massive communities are irrelevant, every variable you optimize is statistically insignificant.

But something more twisted lies beneath the surface, still haunting many founders:

Currently, a project's revenue status is a bearish signal; tokens of profitable projects trade lower than those of non-profitable ones. This dynamic is a matter of life and death. If we continue to punish the profitable and reward the hype-driven, the entire industry cannot survive.

Odaily Planet Daily Note: Solus Group previously disclosed relevant data, showing the average ROI for new project tokens TGE'd in 2025 calculated from the day after issuance was 0.96, meaning their product launch was losing money from day one.

Founder Data Trap: The Funding Paradox, High Funding ≠ Token Advantage

Correlation between funding and token performance: 0.04, statistically considered zero.

Tokens from projects that raised $10 million performed identically to those that raised $1 million. The chart above proves this—the distribution of token ROI is random regardless of funding amount. The best performers: Myshell, B2 Network, Bubblemaps, Mind Network, Particle Network, Creator.Bid (10x to 30x valuation at ATH) raised $300k to $3 million. Meanwhile, projects like Boundless and Analog that raised over $10 million only saw valuation multiples of around 1x.

Current token performance is even worse; most tokens have an ROI below 1x, regardless of funding size. For example, tokens with $5M to $100M funding have ROIs of 0.1x to 0.7x (e.g., Fleek, Pipe Network, Sahara AI), the same as tokens with little funding.

The truth is: Large funding accelerates token death.

Projects with the least funding ($300k to $5M) have a higher ROI per dollar raised. They execute faster, pivot cheaper, and aren't drowned in quarterly VC token unlock schedules, where massive unlocks destroy project gains.

If you chase $10 million for "competitiveness," you are preparing for failure.

The Myth of Followers: Massive Project Communities Are Also "Paper Tigers"

500,000 social media followers vs. 50,000 followers, the statistical result is exactly the same.

Correlation coefficient: 0.08 (Token ATH) and -0.06 (Token status quo)

The data shows audience size has no predictive value for token performance. Projects with huge follower bases had mixed performances—some soared, some crashed, just like projects with small audiences. No trend, no pattern, no correlation.

Your Discord group is not a community; it's a speculative audience waiting to leave.

Reality: Price determines community growth, not the other way around.

When the price crashes, followers disappear. The chart proves this—the bottom-left quadrant (decreasing followers + falling price) is very dense. When the price soars, followers sometimes grow, but it's unstable.

This means:

Your "active community" never really cared about the product—they cared about the token price action. Once the token underperforms, they vanish. Community growth is a lagging indicator, not a leading one.

This isn't just theory; it's the openly stated view of @belizardd (Researcher & Trader/KOL):

Most people are here purely for speculation, not the product itself. We see very few protocols performing well post-TGE, mainly those with low initial token FDV, not high fundraising, and generous airdrops. Honestly, I won't blindly ape into anything right now. The risk/reward isn't worth it; I'm just waiting for the market to improve.

Speculators know the game is broken. They are waiting on the sidelines. Meanwhile, founders keep burning 60% of their budgets on Discord bots, Twitter giveaways, and KOL promotions—burning money on statistically irrelevant metrics.

The real question is: "If the token dropped 50% tomorrow, how many would stay?"

The answer: Almost none.

Token Price Trap: Beware of Overpricing/Underpricing

Median ROI by token listing price:

Below $0.01: 0.1x (90% loss)

$0.01 to $0.05: 0.8x (Survivable zone)

$0.05 to $0.50: 0.5x (50% loss)

Above $0.50: 0.09x (91% loss)

Let me repeat:

A listing price below $0.01 doesn't make your token "more accessible"; it makes you a low-priced coin attracting mercenary capital that pumps fast and dumps faster.

Pricing above $0.50 doesn't make your token a "premium token"; it just signals overvaluation. Excessively high token prices kill retail markets, and whales won't bite either.

The $0.01 to $0.05 token price range is the only viable pricing zone. This price is high enough to signal legitimacy and low enough to leave room for upside. Within this range, only 42 out of 97 tokens had a median positive performance.

If your tokenomics place your valuation at $0.003 or $1.20, stop rebuilding the model; the data suggests the project has already failed.

Industry Status Quo: Stop Building Like It's 2021

Loser: Gaming

Average ATH ROI: 4.46x (Lowest)

Median Current ROI: 0.52x

GameFi tokens are like lottery tickets; play once, forgotten forever.

Trap: DeFi

Average ATH ROI: 5.09x (Looks good)

Median Current ROI: 0.2x (Disastrous)

DeFi sees early price spikes followed by crashes sharper than any other sector. The gap between hype and reality is brutally stark.

Winner: AI

Average ATH ROI: 5.99x (Highest peak)

Median Current ROI: 0.70x (Best retention)

AI tokens spike and hold their ground. This trend has staying power, and capital follows.

If you're building GameFi, your execution needs to be 10x better than average to achieve average results. If you're in DeFi, prepare for rapid rises and sharp falls. If you're in AI, the market gives you a chance, but only if you deliver. Infrastructure is even tougher: you burn more time and resources compared to standard dApps (like AI agents), yet your median current ROI is slightly lower than the universally frowned-upon GameFi sector.

Data doesn't care which project interests you.

IDO/IEO Data Overview: Good Platforms Can't Save Projects

You spend months networking just to get a spot on Binance Launchpad or an allocation from a tier-1 IDO, thinking platform screening means protection. The data shows otherwise.

IDO Platforms: Almost all projects are in the red

Only one project across 5 IDO platforms had a return of +14.6%, that's it. All others ranged from -70% to -93%.

So-called "premium Launchpads" don't protect buyers; they just offer a way to lose money.

IEO Platforms: The epitome of survivorship bias

Binance Wallet shows an 11x return. Looks amazing, but it's only 3 launches, a tiny sample. MEXC shows +122.8% across 14 launches—a larger sample, but still an outlier. Everyone else? Underperformance. Bybit IEO tokens lost 38%, others lost even more.

This proves:

Platform choice is a lottery with better branding. A few outlier wins skew the average, while the vast majority of launches trend downward. The "curation service" you pay for—whether through connections, listing fees, or token allocations—does not reliably protect token ROI.

Platforms can't save garbage tokens, nor can they help good ones.

Reflecting on 2025, Looking Ahead to 2026

Project development in 2025 failed at every level.

Layer Zero: Foundation

Problem: "Speculation-based tokenomics." Indiscriminate token dumping into illiquid markets without organic revenue models to absorb the shock.

Layer One: Funding

Problem: "Fake it in the PDF, fix it later."

Layer Two: Marketing

Problem: The KOL model, paid shills, rented users who vanish the moment payments stop.

Layer Three: Liquidity

Problem: Assuming liquidity follows hype; it doesn't. Institutional investors wait for proof.

Layer Four: User Retention

Problem: Zero-retention infrastructure. The "project community" is 10,000 Telegram users who will abandon you within 90 days.

2026 shouldn't be about playing the old game. There's a deeper issue behind all this: infrastructure matters, but timing dictates everything, even with perfect infrastructure. As Ivan Paskar (Growth Lead at Altius Labs) said:

Tokens don't fix broken things—they amplify reality. Right timing = amplified momentum. Wrong timing = years of effort vaporized instantly. Most teams don't fail on token design; they fail by misjudging their stage and the macro environment. Timing isn't a detail; it's everything.

What Should Projects Do in 2026

Survival isn't about following the old playbook; it's about building a new one.

1. Raise Wisely

Target $300k to $5 million. The highest ROI per dollar is here. More money = more problems.

2. Price for Survival

List between $0.01 and $0.05. Other prices struggle to survive. If your tokenomics don't fit this range, they are broken.

3. Product First, Token Second

If you can't explain in one sentence why your token exists, it doesn't. Revenue must precede speculation.

4. Ignore Vanity Metrics

Follower count is a distraction. Wallet activity, retention rate, and revenue per user are key metrics.

5. Industry Realism

Understand your sector's failure rate before writing code. GameFi needs 2x the execution just to break even. AI has tailwinds—if you can deliver.

6. Integrate or Die

The era of M&A is coming. If you can't scale alone, find an acquirer. Acquisition isn't failure; it's wisdom.

These six principles matter. But the truth is: the standard playbook is obsolete. There is no longer a one-size-fits-all model.

Trending Cryptos

Related Questions

QAccording to the article, what percentage of new tokens launched in 2025 have an FDV lower than their TGE FDV?

A84.7% of new tokens launched in 2025 have an FDV lower than their TGE FDV.

QWhat does the data reveal about the correlation between high fundraising amounts and token performance?

AThe data shows a correlation coefficient of 0.04 between fundraising amount and token performance, which is statistically zero. This means high fundraising amounts do not lead to better token performance.

QWhat is the only viable token price range for survival at TGE, as identified in the research?

AThe only viable token price range for survival at TGE is between $0.01 and $0.05.

QWhich sector's tokens had the highest median ROI at All-Time High (ATH) according to the analysis?

AAI sector tokens had the highest median ROI at All-Time High (ATH), with a multiple of 5.99x.

QWhat is one of the key recommendations for projects in 2026 regarding their community metrics?

AOne key recommendation is to ignore vanity metrics like follower count and instead focus on key metrics such as wallet activity, user retention, and revenue per user.

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What is $S$

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.

824 Total ViewsPublished 2025.01.14Updated 2025.01.14

What is AGENT S

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