Author: fiyalkin, Crypto KOL
Compiled by: Felix, PANews
Original Title: 9 Perp DEX Projects Poised for Airdrops in 2026
Recently, crypto KOL fiyalkin compiled a list of Perp DEX projects that might conduct token launches in 2026, including brief introductions and key data. These projects are all in the early stages of development and have not yet issued tokens. Details are as follows.
1. Variational
Variational is a decentralized peer-to-peer (P2P) derivatives trading protocol built on Arbitrum, focusing on the on-chain trading, settlement, and clearing of generalized derivatives such as perpetual contracts, options, and futures.
Multiple applications have been developed based on the Variational protocol, including Omni for simple perpetual contract trading and Pro for advanced traders and institutions.
Unique tech stack:
-
Zero fees on all position trades, only $0.1 fee for deposits and withdrawals
-
Loss Rebate: When users close losing trades on the Omni platform, there is a 2-4% chance of an immediate full rebate of the loss.
-
Extensive market coverage: Omni supports emerging markets like RWA, volatility (485 markets total)
-
Ample liquidity: Omni's liquidity management system aggregates liquidity from CEXs, DEXs, DeFi, and OTC channels.
The project's points program has been live for less than a month. Early traders have already shared 3 million points, with an additional 150,000 points distributed weekly. The current circulating points are about 3.3 million. Considering points programs typically last about six months, this is still a very early stage.
Currently, the Variational protocol's Open Interest (OI) is $670 million; daily trading volume is $1.5 billion; weekly traders number 12,000.
Additionally, Variational raised $11.8 million from institutions including Coinbase, Dragonfly, and Bain Capital Ventures between 2024-2025.
2. Ethereal
Perp DEX platform Ethereal is deeply integrated with Ethena Labs' synthetic dollar USDe, aiming to build a "one-stop DeFi application" centered around USDe.
Furthermore, Ethereal is the first DEX where margin earns daily yield, meaning users' margin earns yield even while holding open positions, thus compounding returns on every trade.
Ethereal is deployed as an EVM appchain with the following configuration:
-
Settlement via Arbitrum One
-
Arbitrum execution environment
-
Celestia data availability
Current Ethereal Open Interest is $45 million, daily trading volume is approximately $80 million, and the total number of traders is 8,000.
3. Hibachi
Hibachi is a privacy-focused trading platform. Raised a $5 million seed round in March 2025 from Dragonfly, Electric Capital, and Echo. Team members are from Citadel, Tower Research, IMC, Meta, Google, Hashflow, etc.
Hibachi has now launched social features and upgraded chart annotation functions, among others. Since the beta release last June, cumulative trading volume has exceeded $6.7 billion, daily trading volume is $7 million, Open Interest (OI) is approximately $1.5 million, and daily active traders exceed 2,000. It has launched a new points system and has not yet issued a token.
4. Cascade
Cascade is a 24/7 neo-broker offering perpetual markets covering cryptocurrencies, US stocks, and private assets, with zero trading fees. Currently, access is available to some invited depositors, with a public launch expected in early 2026. Initially, the platform will offer over 10 perpetual markets, with the product lineup to be expanded gradually.
The project has raised $15 million from investors including Polychain Capital, Variant, Coinbase Ventures, and Archetype, and has established partnerships with Arbitrum, Base, Chainlink, and Pyth Network.
5. Pacifica
Perp DEX platform Pacifica is built on Solana, aiming to combine CEX speed with DeFi transparency and non-custodial security. Pacifica was founded in January last year, is completely self-funded, and has no venture capital. Team members are from companies like Binance, FTX, Coinbase, NFTperp, as well as financial institutions like Jane Street, Fidelity, and AI companies like OpenAI, DeepMind, ByteDance.
Current Pacifica Open Interest is approximately $71 million, daily trading volume is $600 million, and the total number of traders is 33,000.
6. Extended
Extended is a Perp DEX built by the former Revolut team, aiming to integrate cross-asset collateral, unified margin, Perps, spot, and lending into one application. Besides cryptocurrencies, Extended also offers RWA/TradFi markets like EUR, S&P 500, using USDC as collateral.
Extended is already live on the Ethereum L2 network Starknet mainnet, supports over 50 trading pairs and leverage up to 100x. Open Interest (OI) is approximately $200 million, daily trading volume is about $1.5 billion, and daily active users number 4,200.
Extended has completed a $6.5 million funding round, with investors including Tioga Capital, Semantic Ventures, StarkWare, etc.
7. Nado
Nado is a high-performance central limit order book (CLOB) DEX platform built on Ink L2 (an EVM-compatible L2 network launched by Kraken), developed by the former Kraken team. It combines CEX-level speed with DeFi non-custodial security, offering a unified trading experience for spot, perpetual contracts, and money markets.
Nado's main features:
-
Trade spot and perpetual contract markets: Supports major currencies like BTC and ETH, with perpetual contracts offering up to 20x leverage.
-
Nado Engine: Nado's core is a high-performance off-chain sequencer and on-chain risk engine, settled via Ink L2. New trades enter the order book instantly with 5-15 ms latency and are batched for on-chain settlement.
-
Unified Margin: Use your entire portfolio in one unified margin account as collateral for spot, perpetuals, and money markets.
-
Money Markets: Deposits automatically earn yield, borrow for margin using flexible collateral like wETH or USDT0, and easily achieve quick looped positions with spot margin trading.
-
Low Fees: Taker fees as low as 1.5 basis points, maker rebates up to -0.8 basis points, with tiered increases based on volume. The more you trade, the lower the fees.
Current Nado Open Interest is approximately $90 million, daily trading volume is $500 million, and daily traders number about 2,000.
8. TradeXYZ
TradeXYZ is a Perp trading platform focused on RWA and traditional financial assets, built on Hyperliquid L1's HIP-3 protocol. Developed by the Unit.xyz team, it aims to realize a 24/7 global capital market for "trading any asset, anywhere, anytime".
Its maximum supported leverage is as follows:
İlgili Sorular
QWhat is the key feature of Variational that allows users to potentially get a full refund on losing trades?
AVariational's Omni platform has a 'Loss Refund' feature where users have a 2-4% chance of receiving a full refund on their losses immediately when closing a losing trade.
QWhich Perp DEX project is built as an EVM appchain and integrates Ethena Labs' synthetic dollar USDe to offer yield on margin?
AEthereal is the Perp DEX that is built as an EVM appchain and deeply integrates Ethena Labs' USDe, allowing users to earn yield on their margin even while holding open positions.
QName the Solana-based Perp DEX that was self-funded and has a team with backgrounds from major CEXs and AI companies.
APacifica is the Solana-based Perp DEX that is completely self-funded, with a team from Binance, FTX, Coinbase, Jane Street, Fidelity, OpenAI, DeepMind, and ByteDance.
QWhat type of assets does the crypto market does the Perp DEX TradeXYZ primarily focus on trading?
ATradeXYZ primarily focuses on trading Real World Assets (RWA) and traditional finance (TradFi) assets, such as silver, Nasdaq-tracking futures (XYZ100), and forex pairs like EUR/USD and USD/JPY.
QWhich project on the list is built on the Hyperliquid L1's HIP-3 protocol and aims to create a 24/7 global capital market?
ATradeXYZ is the project built on Hyperliquid L1's HIP-3 protocol, developed by the Unit.xyz team, with the goal of enabling a 24/7 global capital market for trading any asset.
İlgili Okumalar
Intel CEO Liwu Chen's First Podcast Interview: Our Goal is '10x in 5-10 Years', Betting on Advanced Packaging, Glass Substrate, and Synthetic Diamond
Intel CEO Chen Liwu outlines a bold vision for the company's transformation in a podcast interview, targeting a "10x return in 5-10 years." He emphasizes a strategic shift beyond traditional process node scaling, focusing on advanced packaging (like EMIB), new materials (glass substrates, GaN, SiC, InP, synthetic diamond), and system-level integration. Key to this is Intel's foundry business, where he prioritizes building trust through superior yield, defect density, and cycle times. Chen sees strong CPU demand resurgence driven by agent AI and inference workloads. He details the Terafab collaboration with Elon Musk to address semiconductor infrastructure gaps and stresses the strategic importance of U.S.-based advanced manufacturing. Acknowledging Intel is still in the "crawl" phase of his crawl-walk-run framework, Chen believes the company's full potential—extending from its PC base into edge computing and physical AI—will become apparent by 2030-2032.
marsbit7 dk önce

marsbit7 dk önce
He Just Raised 2.7 Billion, and Li Fei-Fei Also Invested
Pete Florence, a former senior research scientist at Google DeepMind and a key contributor to the Vision-Language-Action (VLA) model architecture, is deliberately distancing his startup, Generalist AI, from the trendy "world model" label. He argues that the industry should prioritize concrete goals over buzzwords. His goal is to create robots that can perform a vast range of unseen tasks with high speed and success rates, without needing task-specific training data.
Recently, his company raised $400 million (¥2.7 billion) at a $2 billion valuation. Notable investors include NVIDIA's NVentures, Bezos Expeditions, NFDG, as well as Xiaomi co-founder Lin Bin, Zoom founder Eric Yuan, and renowned AI scientist Fei-Fei Li.
Florence's approach stems from his academic background at MIT under Professor Russ Tedrake, focusing on understanding the physical world. After joining DeepMind, he developed models like Transporter Network and co-created the VLA framework. He left in 2025 to found Generalist AI.
The company has launched two models: GEN-0, which demonstrated that scaling laws apply to physical motion, and GEN-1. GEN-1 was trained on over 500,000 hours of physical interaction data collected via a specialized wearable device. It achieves a 99% success rate on precise mechanical tasks like folding boxes and maintains performance three times faster than its predecessor. Florence believes GEN-1 is reaching a commercial utility threshold similar to the GPT-3 inflection point.
The substantial funding round, following GEN-1's release, signifies strong investor confidence in Generalist AI's practical, goal-driven path to creating versatile, useful robots, regardless of the "world model" terminology.
marsbit8 dk önce

marsbit8 dk önce
Two Legends Lost in Three Days: Is Google's AI Talent Dam Cracking?
In three days, Google lost two AI legends. On June 18, Noam Shazeer, co-author of the seminal "Attention is All You Need" paper and Gemini co-lead, left for OpenAI. Just 48 hours later, John Jumper, 2024 Nobel laureate and AlphaFold lead, departed DeepMind for Anthropic. This follows Andrej Karpathy joining Anthropic in May. These moves highlight a structural trend: top AI talent is concentrating at mission-driven, pre-IPO firms like OpenAI and Anthropic, while Google becomes a primary source.
The exodus stems from a core mission mismatch. Google's ad-centric model often subordinates AI research to product and revenue goals, creating friction for pioneers like Shazeer, who returned in 2024 only to leave again. In contrast, OpenAI and Anthropic offer singular focus on pushing AI boundaries, whether towards AGI or safety-aligned models, which deeply appeals to top researchers like Jumper.
Financial incentives amplify the pull. With both OpenAI and Anthropic nearing IPO, employees stand to gain immensely from equity, an upside Google's mature stock cannot match. Furthermore, the 2023 merger of Google Brain and DeepMind, intended to consolidate strength, has instead created cultural tension and slowed the path from research to product, as evidenced by Gemini's pace.
This talent redistribution is reshaping the AI landscape. While Google retains vast data and compute resources, its true crisis is the quiet, continuous loss of the people who define the field's future. The real moat in AI is not infrastructure, but the concentration of brilliant minds—a battle Google is currently losing.
marsbit2 saat önce

marsbit2 saat önce
Behind the AI Report Card, Lies a Chinese 'Exam Setter'
Beyond the familiar performance charts like MMLU-Pro and MMMU, which major AI models strive to ace, stands a key "examiner": Chinese-Canadian researcher Wenhu Chen. An assistant professor at the University of Waterloo and founder of TIGERLab, Chen addresses the crucial need for more rigorous AI evaluation. As models like GPT-4 began scoring near-perfect results on older benchmarks like MMLU, it became difficult to distinguish their true capabilities. In response, Chen introduced MMLU-Pro in 2024, featuring harder, more reasoning-focused questions with more answer choices, successfully reintroducing meaningful performance gaps.
His work extends to multi-modal evaluation with MMMU and its enhanced version, MMMU-Pro. These benchmarks test a model's ability to understand and reason with complex information from images, charts, and text across diverse academic subjects, exposing the significant challenges even top models face in genuine comprehension.
Chen's background in complex QA, table reasoning, and his experience at Google DeepMind on projects like Gemini inform his approach. He understands that effective benchmarks must anticipate how models might "cheat" by memorizing data or avoiding visual analysis. His lab also actively researches video understanding and generation models (e.g., UniVideo, Vamba), ensuring his evaluation work is grounded in practical model-building challenges. Now at Meta's Super Intelligence Lab, Chen continues his focus on multi-modal data and evaluation, representing the deep yet often unseen contributions of Chinese talent in shaping the fundamental tools of the AI industry.
marsbit2 saat önce

marsbit2 saat önce
Alliance Co-founder's Letter to Entrepreneurs: Written at the Moment Cursor Sold for $600 Billion
Alliance Co-founder's Letter to Entrepreneurs: On Cursor's $60 Billion Sale
Many aspiring founders see massive exits like Cursor's $60B sale and wonder why they can't achieve the same, often concluding opportunities are exhausted. But great companies aren't built in obvious, crowded spaces.
Cursor, like Stripe, Figma, and Shopify before it, started with a non-consensus belief about the future. Before ChatGPT, they believed AI would transform knowledge work. They focused on a genuinely exciting domain, became their own customer, and obsessed over power users. Their journey involved years of "glass-chewing" effort before the market was ready. The pattern is consistent: identify a long-term technological shift, find a missed entry point, and execute for years before the trend becomes obvious.
First-generation products (PayPal, Adobe, Amazon) prove a market exists. Second-generation winners (Stripe, Figma, Shopify) rebuild that market around new insights, technology, or changing customer behaviors. Founders must identify their phase in the cycle. Early entrants like Coinbase or Cursor focus on making new technology usable for power users. Later entrants find the "yin" to the established "yang"—the blind spots incumbents miss as they grow distant from individual users.
The key is deep market immersion. Use every product in your space. Talk to users. Build an audience. Stop looking for ideas and start *seeing* them everywhere. Then, choose one. The idea must offer a 10x improvement or solve a "hair-on-fire" pain point—something severe enough that users are already crafting workarounds.
When building, avoid feature bloat. Ask: why would someone switch? Great startups rarely force new behaviors; they improve familiar workflows with drastically lower friction (e.g., Cursor forked VS Code instead of creating a new editor). Distribution is the underestimated moat. Before product-market fit, achieve distribution-market fit. How do customers discover new tools? Founders like those at Airbnb, Stripe, and Cursor did unscalable, manual work to recruit early users.
The final, unteachable ingredient is resilience. Cursor built for years pre-market, faced rejection, and persisted. So did Airbnb, Nvidia, and Rain (which launched post-FTX collapse). The lesson isn't that these founders were smarter, but that they stayed in the game long enough for their insights to compound.
Framework: Spot technological cycles. Cultivate unique insight. Obsess over your market. Talk to customers. Find a hair-on-fire problem. Build the simplest wedge. Win your distribution channel. Above all, don't quit when it gets hard. Most people won't do these things consistently. The few who do build the next generation of great companies. Go build.
marsbit2 saat önce

marsbit2 saat önce