{"type":"rich","version":"1.0","provider_name":"Transistor","provider_url":"https://transistor.fm","author_name":"Very True by Verissimo ","title":"Zeta: The New Magic Number - Why SaaS metrics break on AI companies, and what to measure instead","html":"<iframe width=\"100%\" height=\"180\" frameborder=\"no\" scrolling=\"no\" seamless src=\"https://share.transistor.fm/e/80031177\"></iframe>","width":"100%","height":180,"duration":2511,"description":"In this solo episode of Very True, Alex makes the case that the biggest mistake an AI-powered business can make is treating itself like a SaaS business. It isn't one. This episode is the math behind why. \nEvery metric we learned to trust to tell us a company is healthy, net dollar retention, the magic number, LTV to CAC, was built on two assumptions: that revenue accumulates and stays, and that gross margins are high. SaaS had both, and they were load bearing. AI has neither. \nSwitching costs collapse to near zero when a customer can move every workload in an afternoon, and gross margin, the thing that was always solved in SaaS, is suddenly variable, not high, and moving underneath you every time a new frontier model ships. Take those two assumptions away and the inherited metrics aren't leading indicators. They're a house of cards.\n\nSo Alex went looking for what to measure instead, and found it somewhere he did not expect: a mechanical engineering class about what happens when a car hits a speed bump. A company absorbing a new model release is the same physics. Zeta, the damping ratio, is the number that says whether you glide over it or get thrown through the roof. The best part is you already have everything you need to calculate it. Two streams, revenue and cost, plotted against every model release. And unlike the SaaS benchmarks, bigger isn't better here. It's about finding consistency in a dynamic system, which comes down to one question every founder should be asking: Am I critically damped, or am I getting shaken apart?\nEpisode Highlights:\nSaaS was a business model, not a technology. Why talking about \"SaaS vs AI\" is a category error, and what actually made the SaaS gold mine work across all four DCF variables.\nThe calculus under SaaS. The 2014 realization that ARR is the derivative of recognized revenue, why revenue is an accumulation function, and why that accumulation quietly cured almost every problem a SaaS company had.\nThe two assumptions holding up...","thumbnail_url":"https://img.transistorcdn.com/57OvVMJPURacY2oSlK5Y2MLrhZTAZ_pp8q-BCnv84D8/rs:fill:0:0:1/w:400/h:400/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS80MzBk/N2QxOGUzMzA1ZjQz/MzhkNTg3NTQzYjE0/NjQ2NS5qcGc.webp","thumbnail_width":300,"thumbnail_height":300}