As I start my 6th year at @stripe, I’m headed back to my startup roots by joining our Experimental Projects team! This is our skunkworks, our google x, etc. – the lab where we build those crazy ideas at the cutting edge of what Stripe can do for our users. 🔬🚀

Been trying out the @tonal for the past month and have really enjoyed it! The pros: * not having to plan workouts * getting technique reminders during lifts * Apple Watch and AirPods integrations * background music Cons: * took an hour to learn

“Lead with movement, the brain will follow”

This went from conception to shipped with a handful of people in a few weeks. Stripe's big, yet still able to act nimble. Wanna come help us?

the FASTEST hackathon sprint you've ever seen is happening in 2 weeks in sf join us @stripe + @greptileai for a 6 hr hack on ai agents using usage-based billing giving away lots of credits and best yet: the new nintendo switch ;) apply below, apps close in 4 days

Relatedly, if you're a founder and too much of your time is being eaten by prepping data & decks for investors, I'd love to chat! DM or milesm at stripe 😃

To: founders@ Subject: SAFEs You can now send, sign, and track SAFEs in a few clicks, right from the @atlas dashboard. Sincerely, The Stripe team

SF founders/builders - i'm excited to bring you my very first event at @stripe 🥹 join me for✨Build Day✨ at our office on 11/4! choose-your-own-adventure with coworking, demos, 1:1 integration support, stripe press, lunch + coffee, and flow state dj! rsvp below

A quick @stripe MCP check-in. TLDR: real usage. Since June, we’ve seen 32% week-over-week growth in # users and 24% w/w in tool calls. Top MCP use cases: - Searching product catalog - Creating or retrieving prices - Reading the docs - Looking up customer or payment details =>

We’ve been shipping a lot to help developers build new AI products and make money doing it. Here’s a recap of what @stripe launched last week: A new API to track model pricing changes and protect your margins:

Here’s the full demo we showed at Stripe Tour NY this morning:

New for AI app devs: Billing for LLM tokens with @stripe - Charge users for token usage (+X% margin) - Call LLMs with our proxy API or via partners: @OpenRouterAI, @cloudflare, @vercel, @helicone_ai - Update prices as models change costs Get access here: https://t.co/5IMEWCRepx

Test payment flows in v0 without having to open a @stripe account first 🚀

Introducing Open Issuance from Bridge (@stablecoin). Launch and manage your own stablecoin—with just a few lines of code. https://t.co/lX1VYHmuER

Interested in trying this? We’re in an experimental private preview and looking for motivated users to push the edges and give honest feedback. If that’s you, learn more and sign up:

Already integrated with a proxy? We’re grateful to have fantastic partners: @OpenRouterAI @cloudflare @vercel @helicone_ai If you’re using one of these, we can automatically record usage so we can bill your customers for you. No extra API calls necessary.

We handle the LLM connections to get your prompt response, and we automatically record your customer’s usage so they’ll get billed correctly.

Connect an LLM without the glue work. Instead of integrating with providers and separately logging usage to bill, use our LLM proxy. Pass your prompt, chosen model, and Customer ID:

Set up billing in seconds: enter your token markup (e.g., 30%), submit, and we'll configure everything for usage-based billing with your business model. No math, no deciphering pricing plans vs rate cards vs meters—just give us a % and keep shipping.

First things first – token prices in one place. We can now give you a single page within the Stripe Dashboard to see token prices across all of the popular model providers. We’ll keep it up to date, so you don’t need to chase.

Say you're building an AI app: you want a consistent 30% margin on LLM costs. How do you stay focused on your product when model prices change constantly and you use many models across providers?