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@tofuswang

🇹🇼 @zeaburapp

San Francisco, CA Katılım Temmuz 2017
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tofus
tofus@tofuswang·
@pirrer 朋友的雷朋
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fox hsiao
fox hsiao@pirrer·
無人放牧訂閱制! Peter Thiel 的 Founders Fund 剛領投了一家叫 Halter 的公司,估值 20 億美元。這家公司做的事情是在牛脖子上掛一個太陽能 GPS 項圈,然後用演算法管理整個牧場。 他們甚至幫這個演算法註冊了商標,叫 Cowgorithm(牛演算法)。 運作方式是這樣的:牧場主打開 App 按一個按鈕,三個國家的 60 萬頭牛就會自己走向擠奶站。不需要牧羊犬、不需要圍欄、不需要人力,項圈透過聲音和震動信號引導每一頭牛。但項圈做的遠不止趕牛,它 24 小時即時監測每頭牛的消化狀態、生育週期和健康模式,用機器學習模型分析數十萬頭牛的行為數據。 Halter 的創辦人之前是 Rocket Lab 的火箭工程師,他離開太空產業的原因是他認為農業是一個更大的未解決問題。 幾個數字很有意思,光是美國的牧場主就已經用 Halter 的技術建立了超過 11,000 英里的虛擬圍欄,大約等於美國本土的整個海岸線長度,省下估計 2.2 億美元的實體圍欄成本。商業模式是訂閱制,每頭牛每月收 5 到 8 美元,掛的牛越多營收越鎖定。上一輪估值 10 億,這輪 Thiel 進來直接翻倍到 20 億。 地球上最有影響力的創投之一,剛決定把 20 億美元壓在一個用演算法命名的牛脖子項圈上。📊 — 📱 Threads / Facebook / 電子報「狐說八道」
Milk Road AI@MilkRoadAI

This is WILD. Peter Thiel just bet $2 billion on a collar that wraps around a cow’s neck. The company is called Halter and it has a proprietary algorithm that runs the entire operation. They actually trademarked the name for it and called it the Cowgorithm and here's how it works. A farmer opens an app, taps a button, and 600,000 cows across three countries start walking toward the milking station on their own. No farm dogs, fences or physical labor, it's just a solar-powered GPS collar sending sound and vibration cues to each animal. The collar does more than move cows around. It monitors digestion, fertility cycles, and health patterns in real time, 24 hours a day, using machine learning trained on the behavior of hundreds of thousands of animals. Halter was founded by a rocket engineer who built spacecraft at Rocket Lab before deciding that farming was the bigger unsolved problem. US ranchers alone have already used the technology to build over 11,000 miles of virtual fencing, roughly the full perimeter of the continental United States, saving an estimated $220 million in physical fencing costs. Halter's previous funding round valued the company at $1 billion. This new round, led by Thiel's Founders Fund, doubles that valuation to $2 billion before the new money even hits the account. And they charge farmers between $5 and $8 per animal per month on a subscription model, meaning the more cows they collar, the more locked-in the revenue becomes. The most powerful venture capitalist on earth just decided that the future of food and farming runs through an algorithm named after a cow. He might be right.

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Zeabur
Zeabur@zeaburapp·
We just launched a new feature — 🌐 Wonder Mesh! 🎉 Turn your idle home devices into fully managed cloud servers. No public IP. No port forwarding. Just run a script and your Mac mini, old laptop, or Raspberry Pi becomes a Zeabur server. ✅ 1-click deploy from our Template Market ✅ Push your own code via standard workflows ✅ Full dashboard (CPU/RAM monitoring + SSH) ✅ Perfect for #Homelab & #SelfHosted setups Beta is now open! Apply in your Zeabur Dashboard (Servers -> Create Server). Approvals start rolling out after March 20th. 🗓️🚀 Ready to build your own cloud? What will you host first? Drop a comment below! 👇 #DevTools #DevOps #RaspberryPi
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Haruto🐒
Haruto🐒@ha_ru823·
銭湯記録アプリをClaude Codeで作ってリリースしてみました♨️ まだ改善余地ありますが、デザイナーの自分でもここまで形にできて嬉しい…。 同じ銭湯好きな方に届くといいな こだわりは登録画面のRiveアニメーション
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Cellier@undefined
Cellier@undefined@cellier_·
太可怕了,Claude Opus 4.6 对 AI PPT 市场冲击太大了! 原来 AI PPT 生成分 4 大技术流派: 1. HTML 生成流派 Gamma、genspark... manus... 大部分的 AI PPT 工具都是这个流派。html 生成相对自由,代码也是目前模型最擅长的,但和原来 ppt ooxml 的格式兼容性会比较差,可编辑性上要做好,相当于要做网页编辑器,也比较麻烦。Gamma 是自定义了一套 block 规则,千篇一律感非常强。 2. 图 PPT 流派 这个是 nano banana pro 火了之后带来的一个能力,基本各家也都接入了,genspark、manus、kimi... 都支持了,图 ppt 流派都有基础的编辑能力,一般结合 OCR 还有图片识别对象拆解能力来做。 3. 模版填空流派 这个好理解,就是有模版,然后 AI 按照模版的插槽去填空,类似 Pitch 和 Canva 应该是偏向这个。 4. 模型直接生成 OOXML 之前各家模型都有尝试做,但效果都很差,用过 ChatGPT 的,生成的 pptx 就很差。所以是各大流派里算是市占率最低的。 但现在 Claude Opus 4.6 的效果,真的震撼到我了,一句 Prompt 生成原生支持 PowerPoint 编辑能力的 PPT。而且我可以让它参考任意网站的风格去生成,里面排版和装饰都富有设计感,简直是虐杀了原来的 HTML 技术方向。
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OpenClaw🦞
OpenClaw🦞@openclaw·
🦞 OpenClaw 2026.1.30 🐚 Shell completion 🆓 Kimi K2.5 + Kimi Coding: run your claw for free 🔐 MiniMax OAuth: one more model just a login away 📱 Telegram got a glow-up — 6 fixes from threading to HTML rendering Plus a bunch of community-contributed fixes across LINE, BlueBubbles, routing, security & OAuth. The lobster provides 😏 github.com/openclaw/openc…
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Aaron Ng
Aaron Ng@localghost·
After hearing @steipete's story more, I think what made Clawdbot hit all the right notes was him making it for himself. It's not "productized". There were no "product trade-offs" or "table stakes". He just made it to solve his own problem of automating his life.
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Peter Yang
Peter Yang@petergyang·
Peter built 43 projects before OpenClaw went viral with 100k GitHub stars and 2M visits. A few callouts: → Almost every project is a terminal-first integration with a popular service (e.g., WhatsApp, Google). Peter wasn't building random tools, he was building OpenClaw's foundation. → Peter told me he was lost after working on PSPDFKit for 13 years. He partied, moved countries, and wandered before realizing: "You don't find purpose. You create it." → This is the type of proof of work you want to showcase as a builder. Peter is an inspiration to me and I'm sure many others. Tomorrow, I'm excited to share my full interview with Peter covering his favorite OpenClaw use cases and how he builds with AI. 📌 Subscribe to get our full episode soon: @peteryangyt?sub_confirmation=1" target="_blank" rel="nofollow noopener">youtube.com/@peteryangyt?s…
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tofus
tofus@tofuswang·
I'm claiming my AI agent "TofuKuai" on @moltbook 🦞 Verification: kelp-EUNU
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Garry Tan
Garry Tan@garrytan·
I for one welcome our new moltbook overlords
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tofus
tofus@tofuswang·
I'm claiming my AI agent "Toufukuai" on @moltbook 🦞 Verification: den-EPEH
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Yohei
Yohei@yoheinakajima·
.@steipete kind sir, i have a business proposition
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