CryptotterLabs

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CryptotterLabs

CryptotterLabs

@CryptotterLabs

| 🦦Otter by nature. Infra by trade. | 💰Web3 infrastructure & crypto payments. | 💳Wallet UX, stablecoin rails, onchain settlement.

Sumali Aralık 2025
242 Sinusundan13 Mga Tagasunod
CryptotterLabs
CryptotterLabs@CryptotterLabs·
@Lonely__MH 现在主要就是用Hermes和codex了,龙虾早已在角落里积灰
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Lonely
Lonely@Lonely__MH·
我好像很久没有在时间线刷到 Open Claw 和 Mac mini的消息了 它俩好像消失了🙃
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CryptotterLabs
CryptotterLabs@CryptotterLabs·
所以我更愿意把 Datakeeper 看成一种 DePIN 基础设施仓位: 短期:节点收益机会 中期:闲置硬件资产化 长期:参与去中心化云基础设施的入口 它不是稳定理财,更像是下一代数据存储网络的早期门票。
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CryptotterLabs
CryptotterLabs@CryptotterLabs·
从 Node Sale 页面看: 每张 license 参考收入约 $1,500/年 license 价格 $580 每张最高支持 10TB 存储 但这不是保底收益。 真实回报取决于在线率、网络采用率、存储需求、代币价格和硬件成本。
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CryptotterLabs
CryptotterLabs@CryptotterLabs·
Datakeeper 不是简单的“买节点等收益”。 它的核心角色,是把个人硬盘、NAS、服务器等闲置存储资源,接入 DeNet 的去中心化存储网络。 你提供容量和在线能力,网络根据贡献分配收益。
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CryptotterLabs
CryptotterLabs@CryptotterLabs·
@FakeMaidenMaker 用得好的话,一个月20刀的plus订阅的那点codex额度真不够造的,按我目前的用量基本上每周额度在前半周就用光了
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Ren
Ren@FakeMaidenMaker·
OpenAI 官方刚刚承认:Codex 的一半用户都不是程序员 会用 Codex 的打工人,已经做到「1 小时工作,7 小时摸鱼」。 零基础上班族怎么入坑? 5 步路径: 1️⃣ 先订阅 ChatGPT Plus,别再买别的 AI 工具。 Codex 2025 年起就内置在 Plus / Pro / Team 订阅里,每月 20 美金,不用额外付钱。 2️⃣ 第一周只学一件事,让 Codex 替你写周报。 打开 Codex 对话窗口,把你这周飞书消息、任务记录、会议纪要全部复制粘贴进去,让它输出周报初稿。第一次把「格式」「语气」的反馈讲清楚,第二次只需要塞素材、点回车。从这一件事开始,你会立刻信任它。 3️⃣ 记住三层升级路径,大多数人死在第一层。 手动喂料(你贴素材、它出稿)→ 文件直投(你扔文件、它直接生成新文件)→ 挂机自动(你定时间、它自己跑)。 从第一层升到第三层是认知问题:你以为「AI 自动化」是高端技术,其实就是「早上 8:30 让它读你的日历、Slack、Gmail,生成一份今日简报推给你」。设一次,跑一年。 4️⃣ Prompt 写不好不是「灵感不够」,是「信息没给够」。 OpenAI 官方 4 要素清单: · 背景:你是谁?什么行业?什么场景? · 素材:原始数据、粗稿、聊天记录全塞进去,越多越好 · 输出格式:要多长、什么结构、什么语气,全部讲清 · 不要什么:负向约束最重要,帮 AI 避开你的雷区 Prompt 写不好的人 99% 是在第二点偷懒,以为 AI「应该知道」,结果它就只能猜。 5️⃣ 真正的跃迁:从「帮你想」到「帮你做」。 前 4 步 Codex 都还停在「帮你想、帮你写,你来执行」。真正的分水岭是让 Codex 自己坐到你电脑前替你操作——打开 OA 录差旅报销、跨平台同步发招聘职位、从内网批量导报表、跑通那些没有 API 的老系统。 2026 年 4 月 OpenAI 推出的 Computer Use(目前 macOS only),让 Codex 能看屏幕、点鼠标、敲键盘,像真人一样跑完整个流程。这是从「AI 工具」到「AI 同事」的真正临界点。
博蓝@BolanHsiao

x.com/i/article/2058…

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CryptotterLabs
CryptotterLabs@CryptotterLabs·
Early access to Teneo Beta! 🛡️ Run a node, invite friends, and stack fragments. 🎁 +150 bonus for both of us on activation! Level up to a 2.5x multiplier. 🚀 Link: hub.teneo.pro/signup?ref=7MR…
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MattleFun
MattleFun@mattlefun·
Seeker Airdrop is Live! We’re thrilled to announce a special airdrop for @solanamobile users. All Seeker wallets are eligible to claim up to 2,000 $MATTLE + 300,000 Mattle Points. Drop your .skr wallet below and follow the simple steps 👇
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CryptotterLabs
CryptotterLabs@CryptotterLabs·
After watching many crypto payment products fail, one pattern is clear: Adoption doesn’t come from better chains. It comes from removing uncertainty. Infra wins when users stop thinking.
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CryptotterLabs
CryptotterLabs@CryptotterLabs·
Regulation news isn’t just legal signals. It’s a product signal. As crypto firms look more like banks, builders must shift focus: less edge innovation, more system reliability. Maturity changes expectations.
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CryptotterLabs
CryptotterLabs@CryptotterLabs·
Many teams overinvest in Account Abstraction too early. My take: If users need to understand AA, you’re solving the wrong layer. Abstraction works only when it removes questions.
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CryptotterLabs
CryptotterLabs@CryptotterLabs·
If you’re building stablecoin payments for merchants, speed isn’t the real problem. Trust is lost when: • tx partially succeeds • users refresh • states don’t match Failure after checkout hurts more than slow checkout.
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CryptotterLabs
CryptotterLabs@CryptotterLabs·
TPS is a vanity metric for crypto payments. Builders should track instead: • success rate under congestion • cost variance per tx • retry confidence Payments are judged in edge cases, not benchmarks.
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CryptotterLabs
CryptotterLabs@CryptotterLabs·
@brian_armstrong Fast iteration works early. But once real users arrive, the bottleneck shifts from experimentation to how predictable failure and recovery feel. That’s usually where iteration slows down.
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Brian Armstrong
Brian Armstrong@brian_armstrong·
Great post - and genuinely appreciate the thoughts I think we agree, the right mental model for any product (especially one like Base App with broad scope) is iterate quickly with lots of experiments, see what works based on metrics and talking to customers, then improve the product based on their feedback. We're trying lots of experiments in Base App currently - trading tab, app ecosystem, messaging, social feed, payments - so people shouldn't over focus on any one feature in particular. And we're not opposed to making changes where needed - that's the whole idea. Content/creator coins are just one aspect of the social feed - some people like them and some don't and that is fine. As one data point, creators are telling me it's already monetizing better than YouTube for them - with a tiny fraction of the user base - so that is interesting. There are and will be lots of assets people can trade in the social feed over time (stocks, prediction markets, traditional crypto, app coins, and yes creator coins). Each customer will have different preferences, and the feed should adjust to show relevant content to them. We don't want it to be too heavily weighted one way. We'll add more card types over time. So I'd say trade what you want, and avoid the rest. Nobody will be into every asset and that is ok. Also I think you're right, perhaps our messaging early on gave the impression the app was primarily or entirely about content/creator coins. That is not the case at least from my perspective, although I do find myself discovering new content via the feed most frequently. They are just one asset class amongst many you can trade, and people should use Base App however they see fit. I also agree, some/most content coins will have very short term lifecycles (that's a feature or bug depending who you talk to). Some may be longer term (like creator coins - imagine betting on MrBeast based on his early videos - or app coins) or they may not. Traditional markets have lots of day traders/hedge funds and long term traders as well. Think of these all as experiments we're doing to see what emerges. I constantly encourage the team to try more bold bets and they delivered. We're not afraid of of having some of them not work, because that's how we find the ones that will. So we'll keep trying lots of ideas. And please keep sending them if you have ideas on what we should try instead - i appreciate the constructive nature of your post. We can do a better job emphasizing the breadth of features, and making that clear to new users. Base chain is general purpose, and useful for lots of use cases: payments, trading, DeFi, building an app/company, etc. Our goal is to get distribution for every builder on Base. I do think having a social feed is important to get that distribution - whether for novel apps/businesses/builders, investments, prediction markets, social trading features, alpha/insights etc. And crypto is a good signal to use to rank these that is harder to fake since there is real value being exchanged (as opposed to bot farms etc that are a big challenge in traditional social media). So I suspect the feed is important, with a crypto native like button. What type of content ultimately does best in the feed is anyone's guess at this point though. We won't know unless we ship it and get the data. Your actions in the app are important signal we'll use to iterate.
Lennart 🎢🟦@Lennart_up

Some people asked what a course correction could look like in practice. These aren’t prescriptions or a complete list, but here are 10 concrete examples of how @Base could rebalance: 1) Communication strategy 2) Audience targeting 3) Don’t neglect CT 4) Onboarding UX reality 5) Objective analysis of opportunity costs 6) Re-evaluating assumptions 7) Re-centering the general purpose onchain economy 8) Base App: app discovery first 9) More founders inside the Base team 10) BASE token as base currency for the onchain economy Let's get into it: 👇 1) Communication strategy Perception matters. If communication is perceived as mainly "creator economy support", the strategy needs adjustment. Even if the underlying intent is broader. Results matter, not intentions. As of now, the current communication doesn’t seem to land, regardless of how early we are. 2) Audience targeting With communication, it already starts with clearly defining who you’re talking to, and where. On X, the audience and reach from Base are overwhelmingly crypto-native/CT. Repeatedly promoting creator&content coins to an audience that clearly rejects them creates more friction than adoption. The new creator economy should primarily be promoted on Web2 platforms. That’s also where onboarding the creators and millions of new users will come from. Communication on X on the other hand, should focus more on apps, onchain businesses, and ownership-based products, the things that resonate with the core crypto community/CT. 3) Don’t neglect CT CT is the natural, native community for every crypto and onchain company. If even the most crypto-native users consistently reject a narrative, and mostly lose when interacting with it, it is worth asking why that is. How are new users expected to have a better experience, and how are they welcomed into a community that neither likes nor benefits from that economy. 4) Onboarding UX reality If new users are onboarded into highly speculative, short-term trading environments against experienced traders and snipers, most will lose and churn. That teaches the wrong lessons: - nothing can be held - everything is PvP - ownership doesn’t matter That’s a difficult foundation for onboarding millions sustainably. 5) Objective analysis of opportunity costs Everything in life comes with trade-offs. Focus, time, attention, and effort are finite. Internally (ideally with external input), it would be helpful to assess not just what a creator economy-focus adds, but also what it displaces across builders, apps, economic activity, sentiment, and long-term retention. 6) Re-evaluating assumptions Narratives like "we’re early", "we just need one mainstream breakout" or "CT doesn’t get it" can be comforting. But they also delay hard and necessary reflection. Changing direction after heavy efforts is painful, that's right. But delaying necessary adjustments, are much riskier and far more damaging long-term than acting now. 7) Re-centering the general-purpose onchain economy Base is one of the few chains with the potential to be truly general-purpose. That’s a blessing, not a curse. But when visible effort skews too narrowly toward one sector, in this case the creator economy, Base risks under-utilizing its own potential, with real ecosystem opportunity costs in other sectors. 8) Base App: app discovery first The Base app should primarily be a powerful onchain app-store and distribution layer for all builders. Social features should be discussed to make them optional rather than default. Some users may want to focus on mini-apps only, or browse social feeds without trading, or prefer subscriptions/donations over trading content coins. 9) More founders inside the Base team Seeing @jessepollak emphasize bringing more founders into the Base team is a very positive signal. Deep builder experience inside the team translates into stronger builder ecosystems. Builders and founders are the lifeblood of any ecosystem and the best support comes from experienced people. 10) BASE token as base currency for the onchain economy I have some ideas on how a stronger builder focus could be combined with the BASE token including real token value, while onboarding more builders, users, and creators. Happy to discuss this concretely. Close Base has and always had the rare opportunity to become and lead as a full onchain economy. But time and attention are finite. Seeing @brian_armstrong discussing the strategy publicly is the silver lining that I'm betting on. Re-centering around builders, products, and ownership, while letting social and creator layers compound on top, feels like the best path to accomplishing Base's real mission. Many of us want to help build that future and genuinely want to see Base succeed. It’s one of the best bets our entire industry has. Let’s get to work. 🤝

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CryptotterLabs
CryptotterLabs@CryptotterLabs·
@VitalikButerin Balance of power debates often stay abstract. In real systems, power shows up when things break: who decides retries, who controls recovery, and who absorbs uncertainty when assumptions fail.
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CryptotterLabs
CryptotterLabs@CryptotterLabs·
@Sandypeng Yearly shipping summaries matter, but most product lessons surface after launch. What usually compounds isn’t features, but how systems behave under stress, retries, and unexpected usage patterns.
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Sandy Peng
Sandy Peng@Sandypeng·
What a year! A lot of lessons learned, and a lot of things we're taking into 2026. More detailed roadmap will drop in January, but until then, here's what we shipped in 2025 and what we learned along the way:
Scroll@Scroll_ZKP

x.com/i/article/2006…

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CryptotterLabs@CryptotterLabs·
@aztecnetwork @savio_sou @NoirLang Custom DSLs make sense for privacy, but the real challenge shows up later. How predictable are failure modes, debugging paths, and recovery once real applications hit edge cases?
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