Paid is the all-in-one, drop-in Revenue Engine for AI Agents that handles your pricing, subscriptions, margins, billing, and renewals with just 5 lines of code. With Paid, you can instantly spin up your “business back office” without having to hire more people, build your own revenue system from scratch or try to force-fit solutions that were designed for a different generation of software. Paid is purpose-built for AI Agents. Get Paid.
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Paid reposted this
Our next roundtable is next week on Wednesday We've been thinking a lot about how SaaS teams are trying to price AI agents. This time, the topic is the SaaS-to-Agent transition playbook, and how to move from “vibe pricing” to real value capture. As usual, relaxed, off-the-record chat with founders and revenue leaders figuring this out in real time. DM for an invite, limited spots as usual ;)
AI agents just made boring businesses interesting again. These small businesses don't need a customer success team scaling with revenue. No support queue. No SDR team. The agent handles it. This changes who can build wealth - as some of the best outcomes are businesses that work quietly and pay out consistently. The opportunity is real. And it's available to more people than ever before.
What if the next wave of wealth creation has nothing to do with unicorns? AI agents are unlocking something we haven't seen since the birth of the internet - small profitable businesses in boring markets that can generate serious cash flow without needing VC scale a car wash membership business in a constrained market - maybe you never thought about it if you're building in Silicon Valley, but put an AI agent in there to handle scheduling, reminders, upsells and that business starts spitting out a few hundred thousand dollars a month in profit this excites me because opportunities are available to everyone again, you don't need to raise a hundred million dollars. you don't need to go work at a big tech company for ten years to learn the game. You can find a constrained market you understand, build an agent for it, and create real wealth. not every company needs to be a unicorn, some of the best lives are built on businesses that just work
Paid reposted this
Excited to announce that we’re partnering with the Eurasian Startup Hub for an upcoming hackathon in London! Nurdaulet Bazylbekov is organizing what’s shaping up to be a great event, a perfect place to hack, connect, and enjoy some plov while building exciting projects. I’ll be there hacking alongside other folks from Paid, as well as mentoring and judging projects. If you’re around, I’d love to meet, collaborate, and build together. Check out the event details and register via the Luma link in the comments.
Just dropped our latest episode Manny and Raj about building Paid. 5 lessons worth your time: 1/ Choose valuations based on conviction, not ego - Manny turned down higher offers because he knows exactly what he can sell 2/ Ship AI products at 60% complete - The technology will catch up in months, not years 3/ Forward deploy every engineer - Remove the translation layer between your team and customers 4/ Fear-based motivation is dead - Focus on massive goals people want to chase, not failure they want to avoid 5/ AI unlocks profitable boring businesses - Not everything needs to be a unicorn to create real wealth This is the conversation most founders won't have publicly - but we're doing it... Link in comments.
Add it to your weekend listening: This weekend, we've got a special insider view at how Paid is being built, as Raj Dosanjh, Manny Medina and even Manoj Ganapathy get together to talk about how decisions are made, and what our latest funding round looked like. https://lnkd.in/dM4pYm3e
Paid reposted this
"Code is cheap. Code is replaceable. Customers are not." Manny Medina dropped this gem on Enterpret's latest Customer-Led Growth episode, and it's probably the most important shift product leaders need to understand right now. If you're still treating engineering capacity as your scarcest resource, you're optimizing for the wrong constraint. Here's what's actually happening: Junior engineers can't find jobs. AI writes increasingly complex code. Your engineering team can ship faster than ever. But you're still building features nobody wants because you're not close enough to your customers. At Outreach, Manny learned this the hard way. They had a beautiful roadmap and efficient processes, but every customer request became a negotiation. "The customer was always beholden to our roadmap." Fast forward to Paid. No sacred roadmaps. When customers need something, they deploy engineers directly into customer environments. Fork the code, build what's needed, push it back. Not scalable? Build it anyway. You learn, the customer wins, and you figure out scale later. If you can't immediately answer basic questions about why customers churn, which features drive retention, or what problems your best customers are trying to solve, your constraint isn't engineering velocity. It's customer intelligence. The companies winning in the age of AI won't be the ones with the cleanest code or the most efficient sprints. They'll be the ones who understand their customers deeply enough to build exactly what matters. Full conversation with Manny Medina and Varun Sharma here: https://lnkd.in/gyqh542k
Paid reposted this
Paid founder Manny Medina is focussing on two very different customers: "SaaS companies that have seen stalled growth because seats aren't going up. They have to lean in on agents to get back to growth" "Startups: Y Combinator, Entrepreneurs First, Techstars startups that are building agents" ... " for them we're launching a self-serve product that is free"
Paid reposted this
“If customers are sending invoices and we’ve captured a high variety of data from their code, we know they’re realizing measurable value – they’re billing for it." – Manny Medina, CEO of Paid At Paid.ai, this insight anchors a two-metric model that connects product activity directly to revenue. (1) Input metrics measure completeness — the breadth and density of instrumented events. When those events reach sufficient variety, the AI has full visibility into the customer’s operations. (2) Outcome metrics measure realization — whether that activity translates into billable results. When both metrics advance together, adoption converts into monetization. Every instrumented event becomes traceable to an invoiceable unit of work. Full recording: https://lnkd.in/d2RmchmU #agenticdistribution #agenticmonetization #agenticbilling
Paid reposted this
"That came from an experience that we had at Outreach that we were building agents but the whole stack behind it to monetise and track costs and be able to show the value wasn't there" Manny Medina on the infrastructure of the business part of the agent not keeping up and how that started the idea for Paid
Should you build your own billing system? The answer is typically no. Read why → https://lnkd.in/dgDaDt6v