We help software companies launch, iterate, and scale their usage-based business models. Get in touch at metronome.com

Joined February 2021
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Live tomorrow at 9:30 AM PT, join Ville Lehto (VP of Strategy, Aiven) and Scott Woody (CEO, Metronome) to unpack the new commercial playbook for data infrastructure. Grab your seat: bit.ly/4vrCcqK If you haven't registered yet, there’s still time to save your seat and prep your questions for the live Q&A following the main session. 📺 Webinar: The New Monetization Playbook for Data Infrastructure  Tomorrow, June 24th, 9:30 AM PT 📩 Save your spot: bit.ly/4vrCcqK Hope to see you tomorrow!
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Metronome reposted
"Bad ideas that turn good is where the alpha is." Nearly every investor told @l3amm usage-based billing was a terrible idea, and he built @getmetronome anyway. They saw what others couldn’t at exactly the right time. Metronome became the billing system behind some of the biggest names in AI, and @stripe acquired it earlier this year. Watch GC's @quentinclark in conversation with Scott. Chapters 00:00 — Meeting Scott at Dropbox 01:36 — Why Speed and Correctness Go Together 04:18 — Billing Was the Intern Project 06:09 — Betting Half of Software Goes Usage-Based 10:51 — Rejection Road Trip 12:24 — The Only Term Sheet They Got 16:44 — Refusing to Ship a Wrong Invoice 22:24 — Becoming CEO Overnight 27:06 — When Usage Went Exponential 31:45 — Choosing Customers Who Set the Bar 36:50 — Answering the Stripe Call
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At @getmetronome we got a few things right, but one that I'm particularly proud of was aligning our core product development principles to the problem domain that we were tackling. In billing, correctness is a P0 problem, so we oriented every product decision, every process, and every workflow around 'how do you make sure that everything we do is provably correct by construction?' You don't get infinite principles, so picking them correctly and following through is actually incredible alpha. Fun talk about this and more with @quentinclark
"Bad ideas that turn good is where the alpha is." Nearly every investor told @l3amm usage-based billing was a terrible idea, and he built @getmetronome anyway. They saw what others couldn’t at exactly the right time. Metronome became the billing system behind some of the biggest names in AI, and @stripe acquired it earlier this year. Watch GC's @quentinclark in conversation with Scott. Chapters 00:00 — Meeting Scott at Dropbox 01:36 — Why Speed and Correctness Go Together 04:18 — Billing Was the Intern Project 06:09 — Betting Half of Software Goes Usage-Based 10:51 — Rejection Road Trip 12:24 — The Only Term Sheet They Got 16:44 — Refusing to Ship a Wrong Invoice 22:24 — Becoming CEO Overnight 27:06 — When Usage Went Exponential 31:45 — Choosing Customers Who Set the Bar 36:50 — Answering the Stripe Call
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🙅 Don't let a vibe-coded billing engine turn into a multi-thousand-dollar disaster. On July 1, Andrew Garvin, Metronome co-founder and COO, will talk through what it takes to create an agent-operable billing engine at AI Engineer World's Fair. While it's true that a single runaway agent can rack up massive cloud bills in seconds, it's also true that AI agents are actually phenomenal at billing strategy. They can iterate on pricing models and packaging faster than any human team. The key to using agents to build billing infra is creating the right sandbox for them to play in. Get the full download on how to avoid disaster when vibe-coding a billing engine on July 1 at AI Engineer World's Fair: bit.ly/4fT3odN
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Join Metronome and Aiven live next week to master token economics, usage contracts, and continuous monetization iteration. RSVP: bit.ly/4vrCcqK In just one week, Scott Woody will sit down with Aiven’s VP of Strategy, Ville Lehto, to dive into one of the most critical challenges facing infrastructure companies today: treating pricing as a product, not a one-off project. The companies winning right now are the ones who can change pricing repeatedly without breaking the business. Ville and Scott will map out real-world strategies for shifting your infrastructure monetization, including: → Redesigning billing engines for continuous monetization iteration → Navigating token economics and unpredictable usage → Designing usage-based controls that buyers actually trust 📩 Join the live session and Q&A next week: bit.ly/4vrCcqK
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🌶️ Hot take: Don't start a billing RFP until your CFO writes the first paragraph. Here’s why: bit.ly/3Szh4Ri In the AI era, monetization infrastructure is actually a risk management tool. If your system can't answer these 5 questions, your architecture is already behind: 1️⃣ Can you see unit economics and margin gap in real time? 2️⃣ Can an invoice line item be tracked back to a single, immutable usage event? 3️⃣ Can finance launch a hybrid contract without an engineering sprint? 4️⃣ Do you have automated kill-switches to prevent revenue leakage from rogue agents? 5️⃣ Are finance and engineering using the same raw data stream? The center of gravity keeps shifting as AI continues to evolve, and now CFOs are no longer inheriting the monetization stack—they’re heavily influencing its structure. If you’re a finance leader evaluating your infrastructure today, this post has a checklist that can help clarify whether your current setup is slowing or speeding your growth. Read the full post: bit.ly/3Szh4Ri
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Metronome is bringing usage-based billing to Stripe Projects. With Metronome as a @stripe Projects provider, you and your AI agents can provision a Metronome instance, receive an API key, and start implementing your billing engine with a single command. Try it yourself by running this command in your terminal: ` 𝚜𝚝𝚛𝚒𝚙𝚎 𝚙𝚛𝚘𝚓𝚎𝚌𝚝𝚜 𝚊𝚍𝚍 𝚖𝚎𝚝𝚛𝚘𝚗𝚘𝚖𝚎 `
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On June 24, learn how to meter across deployment models, use packaging as a growth lever, and price when your users are AI agents on. Save your seat: bit.ly/4vrCcqK Three big changes are influencing the economics of data infrastructure, one of which is that AI agents are starting to generate usage patterns that traditional pricing models weren't built to handle. Join Ville Lehto (VP of Strategy at Aiven) and Scott Woody (Product Lead, Revenue Suite at Stripe) for a live session exploring how leading infrastructure companies are navigating this commercial shift. 📩 Save your spot: bit.ly/4vrCcqK
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If you missed our last webinar on How Agents Are Changing Monetization with Scott Woody and Kyle Poyar, catch the replay here: bit.ly/4u2KQLk They talked through what might be the most pressing question for SaaS founders and product leaders today: How do you price software when the user isn’t a human, but an agent? They covered: → Why the shift to outcome-based pricing is more critical than ever → Strategies to maintain margins in an automated landscape → How you can prepare your product roadmap for the agentic era If you can't watch now, this is one you might want to save for later: bit.ly/4u2KQLk
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AI killed the user seat. Join us at Stripe Tour London (here: bit.ly/4adMyCv) to learn how to rethink monetization from the ground up, and what AI’s increasing speed means for value metrics, customer profiles, and pricing ops. Alexandra Demopoulos, head of monetisation at Aiven, will be in conversation with Andrew Garvin, cofounder of Metronome, a Stripe product, to share real-world lessons from transitioning legacy models into AI-native monetization strategies. This session is part of Monetise, a dedicated track built for founders and monetization leaders at Stripe Tour London. Across the day, we’ll unpack the future of pricing, usage-based billing, and monetization strategies. Save your seat: bit.ly/4adMyCv Hope to see you there!
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Stripe Tour London features Monetise, a special track for founders and leaders navigating monetization and pricing in the AI era: bit.ly/4adMyCv Hear from leaders like: →Aisling O'Reilly, head of pricing at Fin →Alexandra Demopoulos, head of monetization at Aiven →Scott Woody, CEO and cofounder of Metronome, a Stripe product The day’s sessions will take you through the current challenges AI agents are bringing to monetization infrastructure as they reshape software consumption and shine a light on where we go from here to win in the AI era. Save your seat: bit.ly/4adMyCv
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🫩 CFOs are hitting an AI-fatigue wall—tired of flat-rate subscriptions or abstract token fees for mixed ROI. HubSpot’s answer: "Only pay when it works." Up now in the Pricing Model Spotlight series: bit.ly/4u9FL3Q By shifting its AI agents to an outcome-based credit model, HubSpot is making the bet we’re seeing more leading companies make within modern monetization. What’s tricky is that outcome-based pricing is a bit of a tightrope walk when it comes to maintaining your margins. So what can offer some protection? This latest Pricing Model Spotlight deconstructs the HubSpot’s new framework: 1️⃣ The data moat How they’ve shipped outcome pricing with the protection of deep contextual data 2️⃣ The logic The automated 72-hour evaluation window that allows them to track and bill micro-outcomes 3️⃣ The playbook Why the per-seat metric is fading to make room for automated work Read the full post: bit.ly/4u9FL3Q
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Traditional checkouts can’t handle non-human buyers. Learn to build monetization infrastructure for autonomous AI agents, machine-to-machine wallets, and high-velocity micropayments. Join us at Stripe Tour London: bit.ly/4adMyCv James Brown, former chief product officer at Metronome, a Stripe product, will dive deep into what agent-led growth means for your pricing, billing, and monetization strategy. This session is part of Monetise, a dedicated track built for founders and monetization leaders at Stripe Tour London. Across the day, we’ll unpack the future of pricing, usage-based billing, and monetization strategies. Join us: bit.ly/4adMyCv Hope to see you there!
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Kyle Poyar (Growth Unhinged) and Scott Woody Woody (Metronome, a Stripe product) say the B2B SaaS playbook is breaking. Find out how they're thinking about the agentic shift: bit.ly/4u2KQLk Autonomous AI agents are upending the status quo of the traditional pricing strategies that focus on human psychology and rely on simplified tiers to reduce a person's cognitive load. One of Scott's takes is that we're moving away from visual interfaces toward a completely headless future driven by raw, programmatic data. If you're curious about the context of the latest shift we're under and want to hear from two leaders in the monetization space, this is a post that can ground you in the context of the agentic shift and shine some light on how to re-engineer your billing for machine speed: bit.ly/4u2KQLk
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In just over an hour (10 AM PT), Scott Woody and Kyle Poyar are going live for today’s webinar: 📺 How Agents are Changing Monetization There’s still time to join us! Grab your coffee, bring your questions, and get ready for a deep dive into the next era of monetization. 📩 Snag a seat here bit.ly/4tgGK1X See you in a bit!
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Tomorrow, Scott Woody Woody and Kyle Poyar are going live to discuss the future of monetization in the age of AI agents. If you haven't registered yet, you’ve still got time to join the live Q&A and get your questions answered. 📺 Webinar: How agents are changing monetization → Tomorrow, May 14 → 10 AM PT 📩 Save your spot: bit.ly/4tgGK1X Hope to see you tomorrow!
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🤖💳 No matter your pricing  model, today’s monetization can feel messy, especially when you're trying to keep pace with the move toward agentic commerce. Hoping to bring some order to the chaos, we put together a readiness checklist to help you audit your infrastructure before things get complicated. Some essentials we're discussing: → High-cardinality telemetry: Handling machine-speed usage bursts → Granular visibility: Ending those "What’s going on with my credit balance?" support tickets → Entitlement enforcement: Syncing billing and product to help prevent revenue leakage If you’re currently in the middle of this shift, we hope this AI monetization checklist helps you find any readiness gaps. Read “AI Monetization Readiness: What’s Required”: bit.ly/3QW3dUD
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In just one week, Scott Woody will be sitting down with Kyle Poyar to discuss what might be the most pressing question for SaaS founders and product leaders today: How do you price software when the user isn’t a human, but an agent? They’ll cover: → Why the shift to outcome-based pricing is more critical than ever → Strategies to maintain margins in an automated landscape → How you can prepare your product roadmap for the agentic era 📩 Register now to join the conversation live next week: bit.ly/4tgGK1X
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📉 Intentionally planning for a 10% revenue dip might sound like insanity to some, but Clay is playing to win. The changes they made in overhauling their pricing model this March all made sense—including the part about the expected double-digit revenue decrease. By splitting their pricing into a dual-currency model (Data Credits and Actions), Clay is making a massive bet: → Commoditize the inputs (data) → Price the value (logic and orchestration) → Lower the floor on product stickiness We're kicking off a new Pricing Model Spotlight series, and in this first post we’re going under the hood of Clay’s overhaul to see what it signals for the future of agentic SaaS. 📖 Read the full breakdown: bit.ly/48MkNQZ
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