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Metronome

@getmetronome

We help software companies launch, iterate, and scale their usage-based business models. Get in touch at https://t.co/OWwVHv2gxp

Beigetreten Şubat 2021
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Patrick Collison
Patrick Collison@patrickc·
We just announced a large raft of improvements at @Stripe Sessions. My meta reflections: • It feels that the entire economy is replatforming right now. • Many charts at Stripe are inflecting in quite dramatic ways. What GitHub recently reported for commits we are seeing in economic activity (such as new company formations). • It is increasingly clear that agents will be responsible for most transactions in the not overly distant future. • Stripe was always developer-centric, but AI is making developer-centricity strategic in a new way: agents are even hungrier for good DX than developers themselves are. • Things that we’re launching are increasingly network products at heart. (Instant transfers between Stripe businesses, new kinds of fraud prevention with Stripe Radar, stablecoin payouts to anyone with Link.) "How can we turn Stripe's economies of scale into user benefits?" is increasingly the relevant question. • Between Privy, Bridge, Tempo, and Stripe’s core capabilities, we’re now doing a lot in stablecoins/crypto, and companies like DoorDash, Ramp, Meta, and Klarna are using our crypto stack to deploy meaningful new functionality in production. “But where’s the production use?” is rapidly becoming stale when applied to crypto. • After more than a decade of building, we seem to have hit some kind of critical mass of core platform capabilities such that building new things now feels easier and faster than before. (AI also helps.) We announced Stripe Treasury last year (originally called Financial Accounts); since then, we’ve added multi-currency support, global payouts, card issuance and rewards, and a bunch of other sophisticated functionality. By the end of this year, Treasury will support 15 more currencies and be available to businesses in 160 countries. On the launches themselves, a small selection that I thought were cool, though this is really just a subset: • The @Link AI wallet. Point your agent to github.com/stripe/link-cli and ask it to make purchases on your behalf with secure single-use tokens. (To test it, I asked Claude Code to buy a small gift for me yesterday. It purchased HTTPZine on Gumroad.) • New payment methods for Link, including Pix (largest payment method in Brazil) and UPI (largest payment method in India). We’re also adding stablecoin support to Link (which I think will be huge if we execute well). • We’re adding a lot of new Machine Payments Protocol functionality, including micropayment and recurring payment support. • We announced Checkout studio: a sophisticated dashboard for managing your checkout flow, including things like transaction replays and A/B tests. Today this tends to require a lot of fussy edits to production code. • Adaptive Pricing (which automatically localizes the price and currency that customers see) now supports subscriptions. We’ve seen pretty huge (4–5%) conversion rate improvements after enabling it — customers really like paying in their home currency. • New Stripe Terminal reader (the T600) with a customer-facing screen that can run native apps, plus support for 15 new international markets for Stripe Terminal. • General availability for Stripe Managed Payments, our merchant of record solution. (Natively handles tax, disputes, fraud.) Maybe sounds a bit arcane, but it’s one of those iykyk products. It saves a lot of schlep. • Fraud is a *much* bigger priority for customers than it was 2 years ago (AI makes fraud easier + unlike software, tokens can be resold), so we’ve been extending Stripe Radar to support things beyond payments fraud: free trial abuse, multi-account abuse, pay-as-you-go abuse. Early results are extremely positive. We also announced Stripe Signals — new scoring APIs for customers, businesses, and other objects, not just payments on and off Stripe. • Usage-based billing is also becoming the de facto business model of the AI era, and we launched a bunch of new pricing models in @getMetronome and features like low-balance alerts, automatic credit top-ups, and multidimensional pricing structures. • We showed streaming payments built on @Tempo and Metronome — track usage and get paid the instant value is delivered. Hard to predict, but I think this could be big. (Why wouldn’t you want to get paid as costs are incurred?) • We added automatic US tax filing in Stripe Tax. • We announced Stripe Database -- a hosted PostgreSQL database with all of your Stripe data, updated in real time. Read-only to start but we’ll make it read-write. • Stripe Workflows are now GA. • We showed Stripe Console, a full agentic execution environment built directly into the Stripe Dashboard. It’ll happily write code and use tools to answer your questions. • We previewed custom objects: model your business data directly in Stripe, with custom objects, typed fields, and relationships. • As mentioned above, Stripe Treasury accounts will support storage in 15 currencies by the end of the year. And instant/free(!) transfers between US Stripe businesses. • You can use a Stripe card with your Treasury balance and get 2% cash back on purchases. • We’re massively expanding our Global Payouts coverage -- soon 100 countries with fiat rails and 160 with stablecoins. • Atlas companies can now raise money directly within Stripe. • We launched the platform growth studio, which uses Stripe’s network data to generate specific recommendations for optimization/growth. • We announced the Stripe Managed Risk API — platforms can outsource risk handling to Stripe while maintaining full UI/UX control. • Connected accounts now benefit from networked onboarding, which hugely increases conversion rates. • We’re launching Treasury for Platforms. Connected accounts can get spend cards with just a few lines of code. (Plus cash rewards, cash acceptance, check acceptance, real-time payments…) • We announced Issuing for agents: easily create cards for agents. But that’s really just a subset of a subset. (See stripe.com/roadmap for more.) The Stripe team is cooking! And if you’re interested in building the economic infrastructure for this new world, we’re hiring.
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Metronome
Metronome@getmetronome·
🥂 Hope you were able to join us at last night's Monetization Mixer! 😅 So much great stuff dropping yesterday—and more coming today. → 11 AM | Room 2006 Join Kunal Mahajan, product lead, for a usage-based billing town hall, an open discussion where we'll talk about how monetization shifts as pricing keeps getting more dynamic. 👋 You can also still catch our team: → Stop by the Startup Founders Lounge for continued product office hours. → Come to the expo booth to chat monetization and all the exciting things getting announced throughout the conference!
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Metronome@getmetronome·
🙌 Happy Sessions Day 1! We could not be more excited to be part of such a huge event. This morning, Scott Woody joined Anthropic's Shea Alagumuthu, talking about how Anthropic treats pricing as a product. Now, our team is just wrapping up a chat in the Startups Founders Lounge about how to get your AI pricing right. → All day Catch our team at our booth in the expo hall to talk monetizing AI products. Metronome and Stripe experts are there all day to dive deep on AI monetization. Hope to see you this week!
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Metronome@getmetronome·
🤔 Keynotes are great for the 'what.' 🛠️ Mixers are where we figure out the 'how.' This Wednesday, we’re hosting a monetization mixer with Stripe at Shelby’s Rooftop. Consider this the unofficial Day 1 debrief—your chance to talk through how the day's keynote ideas actually apply to building today's SaaS and AI companies. We’re keeping the group size human-scale so you can actually get into the weeds with the leaders who are solving the same billing and monetization puzzles you are. 🗓️ Wednesday, April 29 | 6:30 PM 📍 Shelby’s Rooftop (steps from Moscone) 📩 Spots are going fast, so rsvp here: luma.com/monetization-m…. Hope to see you there!
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Metronome@getmetronome·
💰📈 Modernizing billing is an investment that pays for itself. Our newest whitepaper breaks down the operational costs of legacy approaches—engineer hours on reconciliation work, RevOps time managing SKU variants, finance time issuing credit memos—and contrasts that with all the benefits of a runtime billing system: → Reduced manual work and error rates → Faster launches and experiments that increase ARR → Lower cost-to-serve for high-usage customers Want a rough ROI framework to share with your exec team? Here's the whitepaper: bit.ly/3NuvvEf
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Metronome@getmetronome·
🌶️ Hot take: 🤝 Sometimes the best conference insights actually happen over a meal or drink after keynotes are over. We’re teaming up with Stripe to host a rooftop mixer for SaaS and AI leaders. This is a chance to swap notes with others who are in the trenches of modern monetization. If you want to talk shop and enjoy the city views, join us at Shelby’s Rooftop. 🗓️ Wednesday, April 29 | 6:30 PM 📍 Shelby’s Rooftop (steps from Moscone) This event will be kept to a small group of leaders, ensuring conversations are high-signal and worth your while. Grab a spot while they're still open! 📩 RSVP here: luma.com/monetization-m…
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Metronome@getmetronome·
💸 If you’re still relying purely on seat-based pricing for an agentic product, you’re probably leaving money on the table, or even subsidizing your power users. Hybrid pricing is the most practical way to align revenue with how value is created in the AI era, but doing it right requires a shift in architecture—moving from subscription plans to a centralized pricing engine. Our latest blog post covers the architecture, the patterns, and the AI monetization checklist you need before you launch. Read the post at the link in the comments.
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Metronome@getmetronome·
🤝 Solving for modern monetization is a team sport, so surrounding yourself with good company is always a good move. We’re excited to be hosting an exclusive mixer on the first night of Stripe Sessions—with Stripe 🙌 This is a space for SaaS and AI leaders to share what’s actually working, and what's not, when it comes to billing and growth strategies. Take a breather from the stages and slides for great drinks and even better conversations. → Wednesday, April 29 | 6:30 PM 📍 Shelby’s Rooftop (just a few steps from the conference) 📩 Spots are limited, so rsvp at the link below. Hope to see you there!
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Metronome@getmetronome·
Last month, we gathered leaders from Anthropic, NVIDIA, HubSpot, and Confluent for our most recent customer advisory board. The consensus was that the most sophisticated companies are moving past simple "billing" and into monetization engineering. If you’re still treating monetization as a back-office utility, you’re missing the shift. Here’s what the front lines look like right now, according to those who live there: → Machine-actionable pricing: Agents don't log into UI dashboards. They need sub-second, API-exposed primitives to make autonomous tradeoffs between cost, latency, and performance. →  Margin as a weapon: With GPU overhead at an all-time high, "revenue at any cost" is dead. Real-time margin visibility is now the ultimate competitive advantage. → The logic layer: Top-tier stacks are moving away from fragmented tools toward a unified orchestration layer that bridges product usage and financial recognition in one click. → Complexity may become a moat: Forget simple pricing. It's looking like multivariable models—differentiating between async vs. real-time reasoning—may be how you align price to value. 📖 Read the full takeaways from our 2026 customer advisory board: bit.ly/4ciCU1C
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Metronome@getmetronome·
Scaling AI products about more than just models and infra. *Actually* scaling AI requires monetization that can keep up. Our latest whitepaper shows why legacy CPQ + ERP approaches break under high-volume, multidimensional usage, and how a pricing engine + invoice-compute engine unlocks: → Seamless scaling for millions of events per day → Automated mid-cycle rate changes without manual reconciliations → Faster product-to-revenue loops for PLG and SLG motions If your billing architecture slows growth, this is where to start. Read the full whitepaper at the link in the comments.
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WorkOS
WorkOS@WorkOS·
Ten years ago you could build a billion-dollar business without ever changing your pricing. Now companies are relaunching their model four or five times in the first two years. We talked with @templaedhel, CTO of @getmetronome at HumanX about it.
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Metronome@getmetronome·
For Finance and RevOps teams in AI, the simplicity of the "one seat, one price, once a year" days is gone. As we’ve cataloged 50+ companies in our new Pricing Index, we've seen a big shift toward pricing velocity—companies' ability to rapidly recalibrate models as inference costs and capabilities change. For the teams behind the scenes, this introduces some major operational challenges: 1️⃣ Dual-track architecture: Managing separate billing logic for high-volume, real-time API metering vs. seat-based subscription lifecycles 2️⃣ The credit reconciliation puzzle: Tracking credits that function as compute proxies, value bundles, or access gates, all within the same ecosystem 3️⃣ The infrastructure gap: Legacy billing systems that weren't built for real-time metering or capacity-based packaging Beyond picking the 'right' price, the most resilient AI companies are building the infrastructure to change prices safely, at speed. 📖 Dive into the trends we're seeing across the industry at the link in the comments.
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Metronome@getmetronome·
⏳🪽 Time flies when you're having fun and talking AI monetization. We've had such a great time meeting everyone at HumanX and chatting about monetization in the AI era—and big thanks to @GaeaLGM and Graeme Scott for the great conversation with our CTO Cosmo Wolfe today. If you haven't had the chance to stop by yet, it's not too late! We're here at booth #530 and hope to see you.
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Metronome@getmetronome·
Day 1 of HumanX on the books—it was great to connect with so many of you at last night's AI After Dark event. 🌙 🤝 Our team be on the ground all week to chat! Whether you're grappling with usage-based models, credit systems, or just trying to get your AI products to market faster, we hope you'll stop by. ☕️ Catch us at Booth #530, and make sure to grab a coffee.
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