
IvyLeanIn
2.7K posts

IvyLeanIn
@IvyLeanIn
intern @anyway_sh|主持播客《支无不言》 🎧 @PodOur2Cents Ask me any thing about payment
Katılım Aralık 2012
2K Takip Edilen5.5K Takipçiler


在过去的一年中,闪援 @FlashRescue 作为链上私人侦探,一直在为 安全公司,律所,政府做链上追溯
期间我们发现了一个重要的问题,一份完美的追溯报告,是资产追回案件推进的重要材料,但是能否成功把资金成功追回,更取决于链下的协调能力,如何与交易所,稳定币发行商,执法部门沟通将会直接影响到资产追回的成功率
在与多家合作伙伴的长期交流下, 我们很认可 Salus @salus_sec 的执行逻辑与推进的速度,Miorror @mirrorzk 老师是少数真正对工作有使命感的好 Founder ,会真正的衡量一个案件的可行性,再去定夺是否承接,可以为客户感同身受,会因为黑客的行为而感到愤怒
事最终还是要落在人身上,在资产救援行业,我们看了太多公司,为了赚调查费用,对受害者实施二次侵害,我们相信一家有使命感的公司才会对得起受害人的信任
经过我们讨论,决定接受 Salus 的收购,Darcy 将担任 Salus 的 Pre CMO,我们将同心协力,共同守护行业的安全

中文

The winner of our Moltbook AI hackthon dives into ClawRouter, an x402 USDC payments enabled alternative to OpenRouter for using dozens of AI models with your OpenClaw agents.
Circle Developer@BuildOnCircle
USDC OpenClaw Spotlight: ClawRouter by BlockRunAl x.com/i/broadcasts/1…
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IvyLeanIn retweetledi

Kickstart your agent with Anyway’s Credit Package! ⚡️
Apply for the Anyway waitlist at waitlist.anyway.sh and sign in to instantly claim $10 in Anyway Credits!
Ship more & earn even better prizes along the way. 🚢
Trace → earn → scale! Only with Anyway Rewards 🪙

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当Token 2049的派对在迪拜推迟时,波斯湾两岸正上演着更真实的加密革命和政治冲突
本文以一场价值9000万美元的链上定点清除为切口,掀开了全球最隐秘的加密往事…
Hazel Hu@withhazelhu
中文
IvyLeanIn retweetledi

We're always willing to help ambitious developers & builders around the world, and bring them prizes they actually need! 💛
Check out ICL Agentic Hackathon winner Erdem Arslan's recap on the event, and his Mac Mini prize 🤩
linkedin.com/posts/erdem-ar…
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@donatelli2026 Start-up founders should handle their own fundraising
You can vibe coding and you can vibe marketing, but you can't just 'vibe' fundraising XDD
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一开始 vibe coding 的时候,我感到兴奋,它不断刺激着大脑的奖励回路,每次敲下 prompt 之后,就会立马看到 AI 吐出大段的代码,多巴胺就会迅速飙升。
然而时间久了之后,我感觉我的脑子每天被塞得很满,但对于记忆又是一片空白,连昨天发生了什么都想不起来了。
补了一些脑神经科学的知识之后,这才发现 vibe coding 真的对我们大脑的前额叶很不友好,每时每刻都在做大量密集的决策,最后就会陷入严重的“决策疲劳”。
并且高度 vibe coding,让我们失去了日常 offline time 的时间,短期记忆无法被巩固,以至于我无法想起昨天发生了什么、上个星期发生了什么。
这真的需要警惕 ⚠️

中文

Had an amazing time working alongside passionate hackathon builders
Getting real, thoughtful user feedback and concrete product tips was incredibly rewarding
Congrats to all the winners! Congrats on getting a new home for your Claw🦞
Special thanks to our host @imperialaisoc (Imperial AI Society) and the amazing hackathon organizers @iamxxhe and @mingthemerxiles for being so responsive and reliable! 🙌
Stay creative 💛

Anyway@anyway_sh
Over the past busy week, builders gathered at @imperialcollege for the UK AI Agent Hackathon, pushing agents beyond simple demos. ⚙️ We had an amazing time hosting events and workshops with all participants! Some updates this week: - An opening keynote by founder @JimsYoung_ - A workshop by Anyway ops lead, @IvyLeanIn - AND a big product update: Anyway's SDK now supports OpenClaw agentic traces! 🦞 With that being said... the winners are announced! Take a look at the winning builds featured below! 👇
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@chilumbamachona @anyway_sh @openclaw @OpenAIDevs @Cloudflare Thanks for the build-in-public session! Really liked your OpenCTO in the hackathon.
Hope @anyway_sh can help you even more.
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Session 1 of Building in Public with @anyway_sh @openclaw @OpenAIDevs @Cloudflare
Repo -> github.com/Hey-Salad/Open…
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I think @stripe just mass produced a business model for every AI startup on earth and increased their TAM exponentially.
Customer buys a shirt for $40, Stripe takes 2.9% + 30 cents. It's a simple formula, but token billing is completely different.
AI costs are variable. They shift by model, by provider, by week. A startup using Claude for 40% of inference and GPT-4o for 60% has a blended cost structure that changes every time Anthropic or OpenAI adjusts pricing... which is constantly.
Stripe is now ingesting those real-time model prices, applying the startup's target markup, metering per-customer usage, and generating the invoice automatically.
That's constructing unit economics at a scale and complexity far beyond anything in traditional payments.
And the data asset being created by them is a massive moat.
OpenAI knows what OpenAI charges, and Anthropic knows what Anthropic charges. But Stripe will know what every model charges, what every startup pays, what every startup marks up, and what every end customer actually consumes.
But the gateway is where this gets really interesting.
Stripe's AI gateway routes inference, returns the response, and attributes tokens to the customer in one API call.
Today it's "pick the best model."
Tomorrow it's "Stripe recommends the model that optimizes your target margin across 12 providers in real time."
The moment that recommendation engine turns on, model providers start competing on Stripe's terms. Pricing power inverts from provider to platform.
This is AWS turned sideways (or i guess diagonally).
Amazon didn't build apps... they built the infrastructure every app depended on, then used the data to optimize the infrastructure itself.
Stripe is running the same playbook on AI economics instead of AI compute.
I truly believe that token billing will make Stripe the most strategically important company in tech that doesn't train a model.

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