Founder Park

131 posts

Founder Park

Founder Park

@FounderPark

Gathering the most innovative AI minds. Showcasing tech innovations happening in China. Bringing fantastic AI products to the global stage.

Katılım Ocak 2026
267 Takip Edilen37 Takipçiler
Founder Park
Founder Park@FounderPark·
Great to attend the mushanghai & clawcon event yesterday hosted by @themu_xyz @sunbh_eth and @clawcon ! Really enjoyed meeting and talking with some of the core maintainers and contributors behind @openclaw — including @vincent_koc @davemorin @msg Josh and many others building at the frontier of personal AI and agent workflows. What’s especially exciting is seeing this kind of open, builder-driven AI community rapidly growing in China. The atmosphere throughout the event felt incredibly vibrant. Excited for more exchanges between global AI builder communities and China. @FounderPark
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Founder Park
Founder Park@FounderPark·
After 33 months of being completely free, China's biggest AI chatbot just put up a paywall. Doubao. 345M MAU. 100M+ DAU. Bigger than its #2 and #3 competitors combined. Three tiers, quietly listed on iOS this week: $9.50 / $28 / $70 per month. The same ladder as ChatGPT Plus / Pro / Max. Within hours: #1 trending on Weibo. The reaction was not "finally." One thing worth thinking about. The country that built the world's largest digital payment culture didn't build it on subscriptions. It built it on QQ avatars, livestream gifts, virtual roses thrown at streamers — paying to be seen by someone, not to be served by something. Doubao is selling utility into a market that pays for status. Worth watching.
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RadixArk
RadixArk@radixark·
Today, we are thrilled to officially launch RadixArk with $100M in Seed funding at a $400M valuation. The round was led by @Accel and co-led by @sparkcapital. RadixArk exists to make frontier AI infrastructure open and accessible to everyone. Today, the systems behind the most capable AI models are concentrated in a small number of companies. As a result, most AI teams are forced to rebuild training and inference stacks from scratch, duplicating the same infrastructure work instead of focusing on new models, products, and ideas. RadixArk was founded to change that. We are building an AI platform that makes it easier for teams to train and serve the best models at scale. RadixArk comes from the open-source community. We started with SGLang, where many of us are core developers and maintainers, and expanded our work to Miles for large-scale RL and post-training. We will continue contributing to both projects and working with the community to make them the strongest open-source infrastructure foundations for frontier AI. We would like to thank our long-term partners, contributors, and the broader SGLang community for believing in this mission. We're also grateful to @Accel and @sparkcapital, NVentures (Venture capital arm of @nvidia), Salience Capital, A&E Investment, @HOFCapital, @walden_catalyst, @AMD, LDVP, WTT Fubon Family, @MediaTek, Vocal Ventures, @Sky9Capital and our angel investors @ibab, @LipBuTan1, Hock Tan, @johnschulman2, @soumithchintala, @lilianweng, @oliveur, @Thom_Wolf, @LiamFedus, @robertnishihara, @ericzelikman, @OfficialLoganK, and @multiply_matrix among others. Thanks for the exclusive interview with @MeghanBobrowsky at @WSJ about our vision.
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Founder Park
Founder Park@FounderPark·
Everything will need to be redefined once agents mature. Payments, accounts, credit, identity, and market structure—systems historically built around humans—are shifting toward a dual-actor world of humans and agents.
Katie Haun@katie_haun

x.com/i/article/2050…

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Founder Park
Founder Park@FounderPark·
True, over the past few months in China, you can see how fast OpenClaw is taking off. Across Beijing, Shanghai, and Shenzhen, OpenClaw meetups have been packed — every event feels like standing room only. What’s more interesting is that it’s pulling in people who weren’t even that into AI before. From our conversations with founders and builders across both China and the US, one difference keeps coming up: in China, both regulatory constraints and individual sensitivity around security and permissions tend to be looser compared to the US. That combination is creating a very different adoption curve for agents.
Rohan Paul@rohanpaul_ai

OpenClaw creator Peter Steinberger talks about how China is going all-in for AI agents and OpenClaw. "In China, installing OpenClaw is called raising lobsters. Thousands of people were lining up at the Tencent office in Shenzhen to get their lobster installed. Shenzhen even gives out subsidies for people running businesses on OpenClaw. Now, if you install OpenAIClaw on your work machine (in many other parts of the world), at least with the default settings, you might get fired. And then I met an entrepreneur in China who showed me a spreadsheet. Every employee, every day, one task automated by OpenClaw. If you miss too many days, you're fired. So, fired for using it, fired for not using it." --- From official 'TED' YT channel (link in comment)

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GeekPark 极客公园
GeekPark 极客公园@GeekParkHQ·
Keep your mind clear, keep your load light.
Ethan (KJ) Li@ethan527

今天在参加极客公园（Founder Park）@GeekParkHQ 的创业活动时，会上抛出的一个讨论引发了我的深思： AI Agent 创业公司最核心的壁垒究竟是什么？ A. 数据和行业的 know-how B. 分发渠道和用户关系 作为一个连续创业者，面对这道题，我的内心其实是充满矛盾的。 情感上，我极度希望答案是 A。因为那意味着只要坚持深耕，我们过去积累的行业经验就能产生复利，成为护城河；但理性和野心又让我期盼答案是 B。因为只有在分发方式和用户关系的重构中，属于创业者的创新才得以被保护并蓬勃发展，而不是永远活在巨头的阴影与碾压之下。 但剥开情绪，从底层逻辑来看，现实可能比选择题更残酷：在全新的 AI/Agent 范式下，过去的 know-how 往往不是护城河，而是毒药。 当未来的核心受众和交互节点从“人类”变成“Agent”时，如果还死死抱着上一代产品的行业经验不放，这些所谓的 know-how 就会迅速沦为巨大的技术债。在这个转折点上，我们需要极其冷静地重新评估：手里紧握的旧数据，到底是战略资产，还是阻碍转型的战略包袱？这可能是当前创业者需要做出的最重要的判断。 商业史上，因为跨越范式而死掉的巨头比比皆是。当年雅虎在搜索大战中输给 Google，根本原因绝不是旧范式的领先者“不够努力”或者“看不清趋势”，而是他们被过去的 Best Practice 彻底绊住了。雅虎的“人工编辑导航”逻辑与 Google 的“爬虫算法”在产品 DNA 层面是绝对互斥的。 跨越范式，从来没有旧的成功经验可以持续复制。对于 AI 原生时代的创业者来说，真正的壁垒，或许是从敢于扔掉过去的战略包袱开始的。

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Founder Park
Founder Park@FounderPark·
AirJelly Team has been working on a core idea since last year — making AI agent systems that can deeply understand full screen context and user intent. This release brings together their work on OpenClaw and a series of new agent/harness/memory ideas into a more complete desktop context-aware agent: It continuously understands your screen context It remembers what you do and builds long-term user context It proactively helps complete tasks based on inferred intent
AirJelly@airjellyAI

🚨The world just started talking about AI Screen Context. We've been building something deeper — AirJelly can see your screen and remembers not just what you did, but who you are. No intent missed. No task overdue. 🪼Introducing AirJelly today, the world's first context-aware proactive agent, that lives on your desktop, grows with your context, and proactively get works done.

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Kimi.ai
Kimi.ai@Kimi_Moonshot·
Meet Kimi K2.6: Advancing Open-Source Coding 🔹Open-source SOTA on HLE w/ tools (54.0), SWE-Bench Pro (58.6), SWE-bench Multilingual (76.7), BrowseComp (83.2), Toolathlon (50.0), Charxiv w/ python(86.7), Math Vision w/ python (93.2) What's new: 🔹Long-horizon coding - 4,000+ tool calls, over 12 hours of continuous execution, with generalization across languages (Rust, Go, Python) and tasks (frontend, devops, perf optimization). 🔹Motion-rich frontend - Videos in hero sections, WebGL shaders, GSAP + Framer Motion, Three.js 3D. 🔹Agent Swarms, elevated - 300 parallel sub-agents × 4,000 steps per run (up from K2.5's 100 / 1,500). One prompt, 100+ files. 🔹Proactive Agents - K2.6 model powers OpenClaw, Hermes Agent, etc for 24/7 autonomous ops. 🔹Claw Groups (research preview) - bring your own agents, command your friends', bots & humans in the loop. - K2.6 is now live on kimi.com in chat mode and agent mode. For production-grade coding, pair K2.6 with Kimi Code: kimi.com/code - 🔗 API: platform.moonshot.ai 🔗 Tech blog: kimi.com/blog/kimi-k2-6 🔗 Weights & code: huggingface.co/moonshotai/Kim…
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Founder Park
Founder Park@FounderPark·
One of the more important infra-level breakthroughs in UI in a while. Text layout has always been a hidden constraint in UI. You don’t control it — the browser does. And everything from performance to interaction design is shaped by that limitation. This flips it. Layout moves from the browser → into application control. A early signal for AI: • AI output is dynamic, unpredictable, and constantly changing • Current interfaces are forced into “chat + scroll” partly because layout is fragile • Streaming content causes jumps, reflows, and broken reading experience With programmable layout: • Interfaces become stable even as content changes • UI can adapt to structure, not just text flow • Entirely new interaction patterns beyond chat become viable
Cheng Lou@_chenglou

My dear front-end developers (and anyone who’s interested in the future of interfaces): I have crawled through depths of hell to bring you, for the foreseeable years, one of the more important foundational pieces of UI engineering (if not in implementation then certainly at least in concept): Fast, accurate and comprehensive userland text measurement algorithm in pure TypeScript, usable for laying out entire web pages without CSS, bypassing DOM measurements and reflow

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Founder Park
Founder Park@FounderPark·
The sharpest insight: many dominant Chinese platforms are "agent-intolerant" — their business models break if agents flood in, so they block them. The opportunity? Don't compete. Build an agent-native alternative right next to the old castle. As one founder put it: "Moats are a last-era concept. Your castle isn't even built yet — why dig a moat?" The real defense is taste, speed, and seeing what's next. What you build this year gets replaced next year. The product is temporary. The muscle is permanent.
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Founder Park
Founder Park@FounderPark·
The hottest debate: agent infrastructure is completely broken. Agents can't pay for anything — no wallets, no task-based billing. One founder said if an agent gets your card + CVV, it could burn thousands in minutes. Chinese builders are already prototyping permission-scoped spending caps per task. Memory is even trickier. "Storage is easy. Retrieval is hard." One companionship startup built their entire moat on a proprietary memory system — not a Claude wrapper. A payments founder argued "work brain" and "life brain" should be completely separate systems. This alone could be a standalone company. Meanwhile, a sound-sensing startup is doing 24-hour ambient audio capture, translating every sound into AI-readable context. Cost dropped from ¥100/day to ¥5-10 in months. Users share relationship moments more than work meetings — life context beats productivity.
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Founder Park
Founder Park@FounderPark·
We gathered 30+ Chinese AI founders behind closed doors to discuss: after the agent hype, where are the real opportunities? The answers were surprisingly concrete.
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Founder Park
Founder Park@FounderPark·
Pretty wild numbers from Genspark.....
Eric Jing@ericjing_ai

Today, Genspark launched Genspark Claw, powered by Genspark Cloud Computer, and we surpassed $200M in run rate in just 11 months, doubling in the last two months alone. Genspark Claw introduces a new execution layer to the AI workspace: a dedicated cloud computer per user, enabling AI agents to operate software environments on your behalf with privacy by isolation and clear permissioning. We also closed our Series B extension round, led by Emergence Capital—making us the largest investment in Emergence Capital’s history. Investors in this round, alongside Emergence, include: Japan SBI, Korea Mirae Asset, HartBeat Ventures by Kevin Hart, Markham Valley Ventures by Simu Liu and Keisuke Honda. As part of this release, we’re rolling out updates across the AI Workspace 3.0 suite to support more hands-free execution and collaboration: - Genspark Workflows - Genspark Teams (a Slack rewrite and it is FREE!) - Genspark Meeting Bot - Speakly for iOS and Android - Genspark Chrome Extension - Genspark Realtime Voice

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Founder Park
Founder Park@FounderPark·
Building doesn't care about your exit. Building doesn't care about your funding round. Building doesn't care if the hype cycle is over. It only cares if you show up and ship. That's what we're about at Founder Park.
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Keşfet

@themu_xyz @sunbh_eth @clawcon @openclaw @vincent_koc @davemorin @msg @Accel