For the past month, a handful of users have been beta testing PricingSaaS Pulse. The feedback has completely reshaped how I think about the Pulse product. When @John Kotowski and I started PricingSaaS, the goal was to make pricing expertise accessible to the average product team. We'd both witnessed our own versions of pricing paralysis. As a consultant, I watched clients struggle to drive consensus. As a Chief Product Officer, John lived the pain firsthand. Often, when teams are staring down a new launch, they freeze. Not because the team isn't smart. Because there are just so many options, and its hard to cut through the noise and figure out what makes the most sense. Pulse is solving that. The clearest pattern from beta: Pulse works as a pricing intelligence layer that plugs in alongside a team's own internal context. The combination of internal context, and our structured market data is the unlock. On one side: Their documentation, their data, their customer transcripts. On the other: A clean, objective view of what companies are actually doing. The most interesting thing we're seeing: a handful of beta users have started using Pulse to build their own pricing agents. The recommendations those agents are producing are sharp. Specific. Grounded in what's actually shipping. It's the closest thing to a real pricing copilot I've seen. We soft launched last week. If you're a SaaS operator or pricing consultant and you want to take it for a spin, comment here or shoot me a DM and I'll get you squared away.

The pricing work coming across our desk is at a point where candidates to support are needed. Exciting opportunities like AI companies trying to figure out outcomes-based models, SaaS scale-ups rebuilding their packaging architecture, post-Series C companies that have outgrown their original pricing - the live conversations are good ones. I'm looking for a few senior independents to plug in. You'd work with me and the Northlane team (www.northlane.partners). Real pricing strategy, real client decisions, not staff-aug, you're still autonomous as a contractor. What I'm looking for: top-tier consulting background, with pricing or monetisation experience, preferably in software/tech, plus ideally operating experience e.g. at VC/PE value creation teams, product teams, pricing teams. If you're thinking about going or already are independent and want a way into better-fit projects and more consistency of deal flow, this is that. email me [email protected] with your resume and/or linkedin! #ProjectOpportunities #ProjectOpportunity

Hey pricing people! Next week, we're trying something new. We're hosting an Office Hours session with 3 of our own community members! All 3 have deep experience in monetizing AI at leading Enterprise companies. The panelists include: ▶ Mihir Wagle: Product Leader at Microsoft Fabric ▶ Kareem El Muslemany: Pricing Leader at Zoom ▶ Akshay Patel: Product Executive at AWS We'll start with questions submitted from attendees, then open the floor to Q&A and have an open conversation on the biggest topics in SaaS and AI monetization. Personally, I can't wait to learn from them (and all of you) 🫡 Grab your seat here: https://luma.com/slaqk955

Hi everyone — glad to be here. I'm Sowmya, a pricing systems PM and live in Austin. My background is in building the pricing logic and intelligence layer — building rules engines, ML-based rate models, and pricing APIs that sit between raw market data and what a customer actually gets charged. Recent work at Engine,Cox Automotive/vAuto and Dell. Mostly here to geek out on how we build pricing systems for the future. One question I'm actively thinking through: Agentic AI feels like it could pressure move to more dynamic pricing frameworks in SaaS context and I'm curious what that means for pricing decision and logic infrastructure. Would love to connect with others thinking about the same things.

Howdy pricing people! If you've been paying attention, you know credits have become the go-to model for monetizing AI. While structuring a credit model presents its own challenges, selling it is even harder. Case in point: The team from Paid ran three monetization workshops in SF with 30+ AI companies over the last couple weeks. The same question came up every single time: "How do we explain the value of a credit to a customer?" It's not a technical problem. It's a communication problem. There's a big difference between "1,000 credits are included in your plan" and "your plan includes enough credits to run 500 contract reviews a month — the equivalent of what a junior paralegal handles in a week." Same model. Completely different conversation. Next week, we're running a small, hands-on session with Manny Medina from Paid to answer all your questions about structuring and selling a credit model. Would love to see you there 🫡 📅 Thursday, March 19 | 11am–12pm EST Spots are limited and registration requires approval. Register for the session →