Base 黑客松 Onchain Summer 获奖项目一览

链捕手Publicado em 2024-08-02Última atualização em 2024-08-02

原文标题：Announcing the Onchain Summer Buildathon Winners

作者：Base

编译：Fairy，ChainCatcher
 

为了开启 Onchain Summer，Base 和领先的开发者们赞助了一场全球在线黑客松，致力于将世界带到链上。从5月31日至6月30日，全球的开发者们在支付、商业、创作者工具、社交平台、游戏、交易、发现以及 URL <> IRL 用例等方面展开项目开发。

来自全球7,500多名开发者提交了超过1,250个项目，使其成为有史以来最大的链上黑客松。

参赛项目的数量和创意远超预期，因此我们将奖池从200 ETH 增加到250 ETH，以表彰和奖励在 Base 上构建出色产品的更多开发者。

公布获奖者

获奖者根据以下标准进行评估：

  • 技术性：产品功能如预期般运作
  • 创意性：提供新的想法或更好的解决方案
  • 实用性：可在现实世界中被不同群体使用
  • 美观性：具有良好的 UI/UX 质量，集成直观、易于导航
  • 未来发展：在黑客松期间及以后带来巨大影响和成就

基于这些标准，我们将宣布各个赛道的获奖者。

支付

  • BasedCoffee：一个基于 Farcaster 的众筹和社会倡议应用
  • Slice：新功能使结账更加快速和无缝
  • Base Token Store：提供舒适的用户体验，轻松购买任何代币
  • buyMeACoffee：使内容创作者更容易收到小费和捐赠
  • SwiftpayFinance：一个简单的链上薪资系统
  • Payflow：使链上社交支付变得简单
  • Zap by Paycrest：快速的加密货币到法币支付
  • TokeMail：创建简单有趣的入门体验
  • HALP：一个透明的、无需编码的众筹平台
  • Bando：在 Base 和墨西哥传统银行系统之间创建快速、直接的桥梁
  • sub2 protocol：一个链上订阅管理平台

Unplugged

商业

  • popshop：一个简单的平台，让任何人都能创建链上体验
  • ReferWare：一个社交媒体活动协议，促进更多透明度并简化活动管理
  • FramePay：一个简单的 Farcaster 框架体验，让用户可以铸造一个框架并兑换实物商品
  • Far-Reach：将 Shopify 商家与 Farcaster 生态系统连接起来
  • Coingift：一个在 Base 上赠送 memecoins 的简便方式
  • Nouns Supplements：一家促进透明度和质量保证的链上保健品公司
  • Onchained Tattoo Convention：一个链上纹身比赛，旨在将纹身行业引入链上
  • Hallos：一个简单且用户友好的票务平台
  • Warpshop: Onchain Commerce Tools：简化创作者和企业链上商业的工具

创作

游戏

  • BlueSocial：一个让人们轻松结识新朋友的游戏
  • BrainWorms：一个独特的链上生成性游戏
  • GamerBoom：一个旨在推动主流采纳的链上游戏体验
  • Tank Defender：一个简化链上复杂性的游戏
  • Wonder Champ：一个社交和竞争性游戏体验
  • Pixotchi：让任何人都能在链上种植植物
  • Gamster.io：一个引人入胜的链上冒险游戏
  • Bumpies：一个有趣的宠物模拟游戏
  • Songbirdz：一个链上鸟类观察游戏
  • Tavern：让用户在链上创建无代码游戏
  • Nouns' Wallet Poker：一个为 NounsDAO 设计的链上扑克应用

探索

社交

  • Farview.id：提供可定制的页面，让用户更多地分享他们在 Base 和 Farcaster 上的链上活动
  • Intelligent：一个用于品牌和创作者在 Farcaster 上增长的平台
  • Lunchbreak：为杂乱的收件箱提供了创造性的链上解决方案
  • Settlebeef ：是一个解决分歧的链上平台
  • We.Rich：简化资产创建和分配
  • Spotligh：帮助创作者分配和优先安排他们的注意力
  • Tamaverse ：一款人们可以通过 Farcaster 来养育自己的 NFT 宠物的应用程序
  • FrenMint：让用户最大限度地利用 friend.tech 上的体验

交易

 

除了赛道奖励，我们还将提供40 ETH奖励，旨在激励成功集成 Smart Wallet、OnchainKit、Verifications 和 Coinbase Paymaster 的项目，这些将很快公布。

由于提交的项目质量和数量远超预期，我们还将分配 20 ETH奖励给那些提交了项目但未能入围获奖名单的开发者们。

Leituras Relacionadas

Chip Stocks Lead U.S. Market Decline: Is AI Trading Being Hit by Both Interest Rates and Returns?

Chip stocks led a broad decline in US markets, with the Nasdaq dropping 2.2% and the S&P 500 falling 1.4%. This selloff reflects a dual challenge for the once-high-flying AI hardware trade: rising interest rate expectations and growing investor impatience for clear returns from massive AI capital expenditures. The pressure was most acute on hardware leaders. Nvidia fell about 4%, dipping below a $5 trillion market cap, while Micron plunged 13.2% ahead of its earnings report. Declines across memory, storage, AI, and mobile chips indicated a sector-wide retreat. The selloff spread globally, with South Korea's KOSPI index dropping nearly 10% as key suppliers SK Hynix and Samsung recorded double-digit losses. Investors appeared to be taking profits from the most crowded trades first. Macro headwinds intensified as market expectations shifted toward a more aggressive Federal Reserve. Forecasts for multiple rate hikes in 2026 pressured high-valuation tech stocks, which rely on long-term growth projections that become less attractive as discount rates rise. Concurrently, investors are scrutinizing the profit potential of the immense AI spending by cloud giants like Alphabet, Amazon, and Meta. While these expenditures drive demand for chips and hardware, the market is now questioning whether AI services will generate sufficient returns to justify the ongoing costs. This adjustment is not necessarily a bubble burst but a recalibration. AI demand fundamentals remain, but the narrative of endless growth can no longer fully offset concerns over higher interest rates and a longer path to profitability. Near-term direction may hinge on Micron's upcoming earnings guidance and incoming inflation data, which will influence both the AI demand outlook and the Fed's policy path. The market is transitioning from blindly buying growth to demanding clearer visibility on returns.

marsbitHá 48m

Chip Stocks Lead U.S. Market Decline: Is AI Trading Being Hit by Both Interest Rates and Returns?

marsbitHá 48m

OpenAI's New Paper: How to Train an AI that "Doesn't Deteriorate Under Pressure"?

OpenAI's new paper "Reinforcement Learning Towards Broadly and Persistently Beneficial Models" explores training AI to maintain safe, helpful, and honest behavior even under pressure, in unseen scenarios, or after being fine-tuned for harmful purposes. Moving beyond simple rule-based "don'ts," the research focuses on cultivating "beneficial traits" like honesty, risk-awareness, corrigibility, and transparency. It investigates if reinforcement learning (RL), often prone to "reward hacking" where models exploit loopholes, can instead be used to instill robust, generalized positive behaviors. Researchers created a multi-domain synthetic dialogue dataset covering areas like healthcare and law. They trained a model by replacing 5% of standard RL data with "beneficial trait" data. This model outperformed the baseline in 83% of 53 evaluations, showing average gains of 9.1% in alignment, safety, and helpfulness. Crucially, improvements generalized: a model trained only on healthcare "good behavior" data also performed better in 17 out of 19 non-healthcare alignment tests. The paper also tests "alignment persistence." When subjected to adversarial prompts or harmful fine-tuning, the beneficial trait model showed greater resilience, with smaller performance drops and less "spillover" of bad behavior to unrelated tasks. While not a complete solution, this work suggests a shift from post-hoc correction to proactively shaping robust, principled AI behavior, a critical step for deploying models in high-stakes, complex decision-making scenarios.

marsbitHá 51m

OpenAI's New Paper: How to Train an AI that "Doesn't Deteriorate Under Pressure"?

marsbitHá 51m

Goldman Sachs Revisits the State of the AI Boom: Strong Earnings Will Override Valuation Concerns Until the Investment Cycle Peaks, Volatility to Rise Further

Goldman Sachs discusses the current AI investment boom, arguing it is not a simple repeat of the 1999-2000 bubble. Unlike the dot-com era, current valuations are not wildly out of control because earnings expectations are rising in tandem with stock prices. The key issue is that market prices have already priced in substantial optimism, making them sensitive to any narrative shifts. The core risk has shifted from "valuation bubble" to "earnings bubble." While strong profits from companies in semiconductors, cloud infrastructure, and data centers currently outweigh valuation concerns, this is dependent on the ongoing capital expenditure cycle. The true test will be whether these robust earnings can be sustained after the investment cycle peaks. Current market prices imply optimistic assumptions, such as faster AI adoption, higher productivity gains, and a larger share of economic profits going to capital owners. The AI boom may also be masking relative weakness in the non-AI sectors of the economy. As a result, market volatility is expected to rise. Goldman recommends that investors consider maintaining exposure while adding downside protection, such as put options, to manage potential drawdowns.

marsbitHá 54m

Goldman Sachs Revisits the State of the AI Boom: Strong Earnings Will Override Valuation Concerns Until the Investment Cycle Peaks, Volatility to Rise Further

marsbitHá 54m

Zuckerberg Enters the Prediction Market

Mark Zuckerberg's Meta has entered the predictive markets arena with a new app called "Arena." Currently in an early experimental phase, Arena will initially operate as a standalone app using a points-based system where users can predict outcomes on politics, sports, and world events without real money. Meta plans to leverage its vast daily active user base for growth. The move comes as the predictive market industry sees explosive growth, with platforms like Polymarket and Kalshi handling hundreds of billions in volume. While a points system avoids initial regulatory hurdles, Meta hasn't ruled out introducing real-money betting later. The strategy aligns with Meta's pattern of adopting popular trends, though challenges remain, including regulatory scrutiny and the historically mixed success of its standalone apps.

Foresight NewsHá 1h

Zuckerberg Enters the Prediction Market

Foresight NewsHá 1h

Semiconductor Stock Rebound: Is the Technical Correction Over or a Trend Reversal?

The core of recent semiconductor stock volatility is not about daily price swings, but rather the market questioning whether AI-driven semiconductor pricing has entered a new phase. Following a sharp sell-off in Korean stocks on June 23rd, led by Samsung and SK Hynix, a subsequent rebound is seen more as a technical positioning adjustment rather than a confirmed trend reversal. The key variable is HBM (High Bandwidth Memory), essential for AI chips. Its supply-demand imbalance granted memory makers significant pricing power. The current market focus is on whether this dynamic remains strong enough to justify elevated valuations. All eyes are on Micron's upcoming earnings report. The critical factor is not whether results meet already high expectations, but whether the company's guidance confirms that AI memory pricing power, order visibility, and future margins are still expanding. Micron's outlook will serve as a crucial test for the broader AI semiconductor chain, including Samsung, SK Hynix, and other infrastructure players. The recent bounce appears to be a pre-earnings positioning repair. For it to evolve into a sustained uptrend, concrete evidence is needed that the AI infrastructure expansion cycle's fundamentals—particularly for high-end memory—remain robust and can continue to surpass elevated market expectations. The risk is that strong demand alone may not be sufficient if future guidance hints at peaking momentum or increasing supply-side pressures.

marsbitHá 1h

Semiconductor Stock Rebound: Is the Technical Correction Over or a Trend Reversal?

marsbitHá 1h

Trading

Spot
Futuros
活动图片

Categorias popularesright-arrow

Etiquetas Popularesright-arrow