UnitPay
Price, bill, and prove value for your AI product
248 followers
Price, bill, and prove value for your AI product
248 followers
UnitPay is the monetization OS for AI companies. Design pricing, run usage-based billing, track inference costs and margins in real time, and show every customer the value they're actually getting — all in one system. Built ground-up for AI-native products: credits, hybrid pricing, per-token metering, cost tracking. Free until you hit $500K ARR.
been through the stripe duct tape phase twice so this one hit home. the part i actually stopped scrolling on was value receipts. everyone builds the charging side, nobody builds the part where the customers finance person opens the invoice at renewal and decides if it was worth it. that alone probably saves more accounts than any dunning email ever will. qq, can the receipt show things like documents processed or jobs completed instead of raw token counts? tokens mean nothing to the person who signs the renewal. solid launch vijay, the 10 min lovable demo is a smart flex
Vijay, the margin-tracking pitch is what got me. WinBidIQ runs its AI summaries/scoring through a multi-provider LLM setup (primary provider with a fallback when quota gets hit), so the actual inference cost per request isn't fixed — it depends on which provider handled that specific call. Does UnitPay's margin tracking capture the real per-request cost when it varies like that, or is it built around a single expected/blended cost per action? That distinction is exactly the kind of thing I'd have gotten wrong building this myself.
"free until $500K ARR" raises a practical question - how is that ARR figure actually determined? is it self-reported, or does UnitPay verify it against the revenue flowing through its own metering, since that's the same system tracking your usage. and when a company does cross the line, is it a clean forward-billing switch on the next cycle, or can it reach back and true-up the months you were technically over the threshold but hadn't been flagged yet
The “prove value” part of the UnitPay tagline is the piece I’m most curious about. Is that meant to connect usage-based billing to customer-facing reports, or more for internal teams to understand which AI features are driving revenue? For AI agents and workflow automation tools, the unit of value can be pretty different from app to app, so I’d be interested in how flexible that model is.
UnitPay
UnitPay
What a day. 🚀
Seeing @UnitPay live on Product Hunt is something we've been working toward for a long time, and it's honestly exciting to finally share it with everyone.
A lot of the vision behind UnitPay comes from our founder, Vijay, who saw firsthand how AI teams were spending months building billing instead of building their products. That experience became the foundation for everything we've built.
Our goal is simple. We want to make monetisation feel effortless so builders can spend their time creating great products.
If you've checked us out today, thank you. Every upvote, comment, and bit of feedback means a lot to our team.
We'll be here all day answering questions and listening to your feedback. We'd genuinely love to hear what you think and what you'd like to see next. 💚
Congratulations on the launch! AI pricing is becoming increasingly complex as products combine multiple models and usage patterns. I like that you're tackling both billing and value measurement instead of treating them separately.
I'm curious whether teams can define custom pricing metrics beyond tokens, such as API calls, workflows, or business outcomes.
UnitPay
For the “prove value” part of UnitPay, how are you thinking about the actual proof layer? Is it more around usage and billing data, or do you help AI product teams connect outcomes back to customer-facing metrics too? Curious because pricing an AI agent or workflow tool can get messy fast when token costs, seats, and business value all point in different directions.