Launched this week
Limitr
Pricing infrastructure for AI/SaaS products
178 followers
Pricing infrastructure for AI/SaaS products
178 followers
Limitr is the AI monetization platform for AI and SaaS companies. Meter, price, and bill for usage in real-time, combining seats, usage, and AI model tokens in a single policy. Seamless Stripe integration and a first-class developer experience make it easy to setup - and vibe code friendly.
Hey Product Hunt! š
I'm Amelia, co-founder of Limitr. Quick story about why we built this:
Last year, we were building an AI product and spent precious time implementing our pricing policy, roughly estimating/predicting token spend, usage limits and margins so we could go to market. We tried other platforms but decided to built it ourselves.
We launched our pricing with a DIY solution but were still blind to customer usage patterns. Were people hitting limits? Ready to upgrade? We had no idea until they churned or reached out to ask for more credits.
So, we created Limitr. First, as an open-source monetization policy that anyone can use as an embedded policy engine for enforcing plans, limits, and usage in your application.
Then, we built Limitr Cloud as a hosted solution to make monetization and usage data more accessible for GTM teams, vibe coders, and early stage founders.
Here's what Limitr does:
- Ship pricing in minutes ā One line of code handles metering, limits, and enforcement
- Change without deploys ā GTM teams update pricing models instantly (with rollback)
- See who's ready to upsell ā Real-time visibility into usage patterns and limit proximity
- See margin and usage data for orgs and specific users ā Know exactly when customers hit or exceed limits, and how to change pricing policies based on real data.
It's built for two types of teams:
1. Early-stage founders monetizing for the first time (this is overwhelming and we want to make it quick and easy)
2. Scale-up GTM teams where pricing changes take weeks in engineering cycles, and when having margin visibility and pricing control is critical.
We're live with a few design partners and launching our free tier today for the PH community to try and give us feedback. Only takes a few minutes to setup.
What's the hardest part of your pricing strategy? Is it building the infrastructure, deciding what to charge, or getting engineering time?
Try it out and let me know what you'd build ā https://cloud.limitr.dev
Thanks for checking us out! š Use code PRODUCTHUNT for 50% your first month of our Starter tier.
We're around all day to answer questions about pricing, usage-based models, or how we built this!
@amelia_wamplerĀ one question I have: are there best-practices you've learned and applied for AI-native software companies? I am curious around insights here and would love to hear about what all you've discovered.
@amelia_wamplerĀ @nseldeib Such an exciting question, thank you! Lots to unpack! One common thread is that the companies that are positioned to move quickly on pricing are the first to adopt new models, ship new features, and capture emerging agentic revenue streams. 18 months ago, SaaS was changing pricing quarterly, today it's more like monthly.
Pricing has never been more important as a growth lever, usage-based & hybrid models are the new norm for AI (even if you offer flat-fee subscriptions, it's a large consideration with AI/infra), and there's a lot of room for new ideas around outcome-based strategies amongst consumers.
Happy to discuss individually and help ideate around what policy/strategy best suits your business model. We're keeping track of best practice as it evolves, alongside many experts in the pricing community. Definitely not a one-size-fits-all situation right now.
@amelia_wamplerĀ @cj_cummingsĀ thank you! Very interesting, appreciate your sharing these learnings.
Selix AI
Congrats on the launch š Pricing infrastructure is one of those painful problems every AI/SaaS team hits eventually, and it's great to see a clean solution for it!
How are you thinking about helping teams decide what to charge, not just the infrastructure for how. Are there any plans to surface insights or recommendations based on the usage data you help aggregate?
@aakashadesaraĀ Thank you!! Simplicity matters a lot to us, and although pricing usually starts simple, it often gets complex quickly, slowing teams and growth.
Limitr is entirely event-driven (even locally), so every customer interaction is tracked and logged to provide signals and comprehensive usage analytics. The idea is to always have the data needed to make informed & confident pricing policy changes.
In Limitr Cloud, each customer has usage tracked and graphed live, per entitlement. If a customer is projected to hit limits, you'll know and can proactively adjust your policy, create an override, and/or reach out for upsell.
Limitr also makes it easy to set "observe" resources for pure tracking and data analysis, then later switch to an enforced limit with optional overage charges, like flipping a light switch.
The what to charge question is a primary focus for us, in addition to a simple how, so we have lots of exciting features coming soon to help!
Hey Product Hunt!!
Thanks for checking out Limitr!
What started as a pricing engine for myself led to the Limitr open-source library, which has led to a full SaaS pricing solution, complete with Stripe billing and drop-in UI.
Our aim with Limitr is to reduce complexity, have the best-in-class dev experience, and provide a foundation for revenue growth. This means changing pricing in minutes without redeployments, and having the usage data at your fingertips to inform those changes (and rollback immediately if needed).
A single Limitr YAML policy defines all of your pricing rules & resource limits, so integration is a simple local policy check. No latency, always versioned, auditable, and easy to reason about.
I'm excited to hear what you think! Schedule a call with us in-app or email us directly to get in touch.
Time to turn pricing into an advantage instead of a dreaded engineering task!
Congrats on the launch! Feeling this pain quite often recently. I think any sort of applied AI stack is going to move towards metered billing and current infra doesn't handle it as flexibly as we need at least. Excited to try this out!
@logan_whitehouseĀ Thanks Logan! excited to hear what you think once you try
@logan_whitehouseĀ Thanks, Logan!! Always a pleasure to work with you and your team, excited for you to check it out!
Fireside
This is exciting. I'm literally tackling this problem right now for my agentic book-keeping product. I could see this making a lot easier both to calculate my unit costs and price my product.
Currently using Langfuse to calculate my costs and stripe to price but I'll have to give this a shot.
@ravi_bhankhariaĀ Thanks Ravi! Are you currently limiting usage for your agentic product as well?
let us know what you think when you try the free version
Awesome product to do quick and easy a/b test and dynamic pricing based on usage. Would love to try.
@robert_dong2Ā thanks Robert! let us know what you think when you try it
@robert_dong2Ā Thank you, Robert!!
This product is š„š„ canāt believe we lived without it for so long
@annelieseĀ thank you! so happy you love it