DeFi, NFT, blockchain games: Key takeaways from DappRadar’s 2022 review

CointelegraphPubblicato 2022-12-21Pubblicato ultima volta 2022-12-21

Introduzione

Despite a tumultuous year, DeFi, NFTs and blockchain games drove DApp usage across the industry, according to DappRadar’s 2022 report.

2022 will go down as a challenging year for the cryptocurrency and blockchain space, but the adversity faced has been strewn with plenty of positives for the decentralized application (DApp) ecosystem.

DappRadar has released its yearly report on the industry, focusing on challenges faced alongside notable technological achievements and an increasing number of active daily users.

Cointelegraph highlights the main takeaways from the DApp industry in 2022, which are pertinent, considering macro factors like inflationary concerns in major economies, the collapse of industry-specific projects like Terra/Luna and FTX, as well as market woes across the board.

Perhaps most telling is unique active wallet data (UAW) from 2021 and 2022, demonstrating a 50% increase in the average daily UAW year on year. This is up from 1.58 million daily users in 2021 to an average of 2.37 million daily active users in 2022.

It must be noted that there was a downtrend of DApp users from February 2022, which DappRadar associated with the escalating war in Ukraine as well as crypto-specific black swan events, including Terra/Luna and FTX’s collapse.

The decentralized finance (DeFi) industry was particularly affected in the wake of Terra’s TerraUSD (UST) depeg and the resulting cryptocurrency market decline, with a significant drop in total value locked (TVL) of around 73% to $55 billion as of December 2022.

Layer-1 DeFi protocols saw the biggest drop in TVL, with Ethereum experiencing a 74.5% reduction to $32.12 billion TVL, while the second biggest DeFi ecosystem, BNB Chain, recorded a 62.5% drop in TVL in 2022. Layer-2 protocols fared slightly better, with Arbitrum falling 12% to $1.74 billion. Optimism’s TVL increased by 127.60%, hitting $669 million.

On-chain data for nonfungible token (NFT) trading volume was in contrast to DeFi’s year-to-date. NFT trading volume increased by just 0.41% year on year, while the number of unique traders increased by a staggering 876% to reach 10.6 million users in 2022. NFT sales also trended positively, increasing by 10.6% to reach 68.35 million. OpenSea remains the most popular NFT marketplace, accounting for 73% of organic NFT trading volume.

Blockchain games played a significant role in the DApp space, accounting for 49% of activity in 2022, with an average of 1.15 million daily UAW. In total, the sector produced 7.4 billion transactions this year.

Blockchain-powered trading card game Splinterlands was the most popular platform, according to DappRadar, growing by 85% to reach 217,914 monthly unique active wallets in 2022.

Terra’s implosion accounts for $40 billion of funds lost, while DappRadar estimated the median loss per hack was around $283,000 and losses per month were pinned at $728 million.

DappRadar integrated 49 blockchains, tracked 13,000 DApps and 13,500 NFT collections and noted that the increased number of DApps reflects the resilience and potential of the sector, with projects continuing to build and innovate despite a challenging macro environment.

Hacks, thefts and rug pulls are also featured in DappRadar’s 2022 review. A total of 312 attacks resulted in total losses of $48.74 billion across the board, the highest amount on record since Bitcoin’s inception back in 2009.

Gareth Jenkinson for Cointelegraph.

Letture associate

EF's Epic Reorganization: 20% Layoffs, Budget Halved, Is Ethereum Gearing Up for a Leaner Future?

The Ethereum Foundation (EF) has announced a major organizational restructuring, involving a 20% staff reduction (approx. 54 employees) and a division into functional clusters like Protocol, Access, User, Community, and Institutional layers. Co-founder Vitalik Buterin further revealed plans to cut the EF's budget by around 40% over the coming years, aiming to reduce its annual spending rate from about 15% to roughly 5% by 2030, transitioning to an endowment-driven model. This overhaul is seen as a long-overdue correction to the EF's ambiguous role. As Ethereum grew, the foundation faced persistent criticism over ETH sales, perceived lack of execution, and unclear strategy, often becoming a focal point for community frustration amid ETH's price stagnation. The reform aims to redefine the EF's boundaries, narrowing its focus to core protocol research, public goods funding, and ecosystem coordination, while offloading more applied development work to the broader market. Concurrently, ecosystem forces like the newly formed Ethlabs (founded by ex-EF researchers) and other independent groups are stepping in to fill the space, signaling a shift from a centralized model to a more distributed, collaborative ecosystem structure. The move was notably praised by Solana co-founder toly, who viewed a "leaner" EF as potentially more decisive and agile.

Odaily星球日报15 min fa

EF's Epic Reorganization: 20% Layoffs, Budget Halved, Is Ethereum Gearing Up for a Leaner Future?

Odaily星球日报15 min fa

Dragonfly Partner Haseeb: The Fastest-Growing Companies of the Future May All Get Stuck at 149 Employees

Dragonfly partner Haseeb explores the distorted economics of AI model pricing, drawing parallels to tax policy. He notes that startups and small teams (under 150 users) enjoy heavily subsidized, fixed-price AI subscriptions (like Claude Code), where the marginal cost of an additional token is effectively zero. This creates a powerful incentive for them to maximize token usage ("token-maxxing") and innovate aggressively with AI automation. In contrast, large enterprises (over 150 users) are forced onto "Enterprise" plans, paying per-token API fees with high (~75%) markups. This acts like a steep "tax" on AI-powered labor, disincentivizing marginal automation and experimental use, and encouraging them to retain more human workers. Haseeb argues this pricing creates a "150-person cliff," a regulatory notch similar to labor laws in France that discourage firms from growing past 50 employees. He predicts the fastest-growing future companies may deliberately cap their headcount at 149 to avoid the punitive enterprise pricing. This would foster an "AI-first" management philosophy obsessed with automation and outsourcing to stay lean. While not intentionally designed, this bifurcated pricing could become one of the most influential de facto tax policies, shaping how AI replaces labor—not through mass layoffs at big firms, but through agile, AI-native startups outcompeting them.

marsbit27 min fa

Dragonfly Partner Haseeb: The Fastest-Growing Companies of the Future May All Get Stuck at 149 Employees

marsbit27 min fa

How xBubble Breaks Through in the VC-Heavily-Backed OPC Economy

xBubble: Addressing the Structural Gap in the VC-Backed OPC Economy The concept of OPC (One Person Company) is evolving from a buzzword to a significant AI-driven market. While AI coding tools like Replit and Lovable have validated demand from non-technical users wanting to build applications, a key gap remains: the leap from creating a demo to running a stable, evolving business. These tools still require users to manage the development process, including technical judgments for integrations, modifications, and deployments—a major hurdle for OPCs. xBubble, by DAPPOS, tackles this by shifting from "Prompt-to-Code" to "SOP-to-Business." Instead of generating code from instructions, its core is a system of pre-organized SOPs (Standard Operating Procedures) that translate business goals—like "sell World Cup merchandise"—into complete, executable workflows. This includes generating cohesive assets, pages, payment systems, and backend logic. The platform is augmented by a network of third-party service providers who handle infrastructure (hosting, domains, payment setup), acting like "on-site service engineers." Users can pay for these services directly with xBubble credits, simplifying onboarding. This ecosystem aims to deliver not just an app, but a complete, modifiable business launch path. xBubble targets a clear OPC segment: small commercial nodes (e.g., creators, merchants) with existing products, customers, or channels, but for whom a full tech team is unjustifiable. Its potential lies in SOPs accumulating expertise from real cases, improving reliability and reducing delivery costs over time. Additionally, its native support for crypto payments caters to global or digital-native OPCs. In summary, as AI democratizes software creation, xBubble's opportunity is to prove that "SOP-to-Business" provides more immediate value for launching a real, operational business than a powerful but unstructured AI coding tool.

链捕手29 min fa

How xBubble Breaks Through in the VC-Heavily-Backed OPC Economy

链捕手29 min fa

If It's Not a Clear Yes, It's a No: A Nine-Year Retrospective by a VC Who Survived Four Cycles

**"Invest Only When Certain": A Nine-Year Retrospective from a VC Across Four Cycles** IOSG founder Jocy shares hard-earned lessons from nine years and over a hundred investments in Web3. The core challenge isn't identifying successful founders, but understanding why talented founders with solid ideas still fail. Through building a "failed founder database," IOSG identified six recurring failure patterns. **Founder Trait Red Flags:** 1. **Emotionally Unstable:** Founders who react defensively to criticism or publicly lash out under pressure (e.g., 80% drawdowns) often fail. Resilience is key. 2. **Lacking Hunger / Having a Fallback:** Founders with significant safety nets (family wealth, cushy fallback jobs) may lack the "do-or-die" commitment needed to survive crypto's brutal cycles. 3. **Unchecked Ego:** Includes "polished execution machines" who excel in known frameworks but struggle when paradigms shift, and "professor-types" who are technically brilliant but resistant to commercial feedback or coaching. **Project Structure Red Flags:** 4. **Token-First, Not Product-First:** Treating the token solely as a fundraising tool with no real utility or connection to product value is a major warning sign. The project should have value even if the token goes to zero. 5. **No Day-1 Exit Thesis:** Founders must have a clear, staged capital strategy from the start, understanding what each funding round needs to prove to unlock the next. "Exit before entry" is crucial. 6. **No Full-Cycle Experience:** Founders who haven't lived through a complete crypto bull/bear cycle (e.g., 2018, 2022) often underestimate their vulnerability. IOSG limits initial checks for such teams to $250k, sizing for risk. **The Positive Flipside: Desirable Founder Traits** The ideal candidate exhibits: obsessive problem-depth, being a second-time founder with a non-consensus vision, strong communication skills with *controlled* ego, relentless perseverance, and a global perspective with agency and taste (increasingly vital in the AI era). **Three Survival Tips for Founders:** 1. **Cash Flow Over Narrative:** Real revenue is what sustains projects, not vanity metrics. 2. **Tokens Are a Liability:** Avoid issuing a token unless absolutely necessary. The hidden costs (market making, liquidity, compliance) are immense, often a multi-million-dollar burden. 3. **Respect Liquidity:** Sell during peaks to build treasury, buy back to support the protocol during troughs. Be realistic about valuations and your ability to deliver for the next round. The final principle is simple yet paramount: **"If it's a borderline 'yes' or 'no,' don't invest."** In an industry that reinvents itself every few years, the discipline to consistently say "no" is the ultimate secret to longevity.

Foresight News55 min fa

If It's Not a Clear Yes, It's a No: A Nine-Year Retrospective by a VC Who Survived Four Cycles

Foresight News55 min fa

Trading

Spot
Futures
活动图片