Limitr
Pricing infrastructure for AI/SaaS products
150 followers
Pricing infrastructure for AI/SaaS products
150 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! 👋
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 → One line of code handles metering, limits, and enforcement
- Change without deploys → GTM teams update pricing models instantly (with rollback)
- See who's ready to upsell → Real-time visibility into usage patterns and limit proximity
- See margin and usage data for orgs and specific users → 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 → https://cloud.limitr.dev
Thanks for checking us out! 🚀 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_wampler 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_wampler @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_wampler @cj_cummings thank you! Very interesting, appreciate your sharing these learnings.
Selix AI
Congrats on the launch 🚀 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?
@aakashadesara 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!
What a perfectly-timed idea!
How do you see AI monetization changing in the future? I've heard a lot about seat based pricing vs. outcome based pricing.
@madeline_wordware It's definitely a quickly evolving landscape! Pricing has never been more important as a strategy for growth, and there's a lot of room for newer ideas, like creative outcome-based pricing.
I am a fan of outcome-based pricing where it makes sense, and so are consumers! There's clear alignment when success is tied together for both parties.
@madeline_wordware thank you! things are definitely shifting towards consumption based, especially with agentic products and vertical SaaS adding AI features into their products. Having flat-fee tiers is still common for predictability, but now companies need to better understand margins and customer's usage patterns.
Congrats @amelia_wampler & @cj_cummings ! Does Limitr support automated responses when usage or credit thresholds are reached — for example, triggering alerts, rate limits, or other playbook-driven actions?
@amelia_wampler @dylan_conway Thanks, Dylan!! Limitr is an event-driven system, and automation is absolutely a part of our roadmap! We'll be launching more features around this soon, so stay tuned.
That being said, extending Limitr event handlers with your own is straightforward, so creating custom behaviors for altering, downgrading, progressive/dynamic limits, etc., is a core capability that is baked in.
This is really cool! I'm curious - how have you seen the learning curve for using Limitr vary been non-technical and technical teams? I'm often trying to find ways to enable other teams without needing to sidetrack the product roadmap for the engineering team.
@mary_m_s Thank you, Mary!! Enabling other teams & non-technical leadership to own pricing without engineering overhead is a main priority for us.
Pricing rules & limits are often hardcoded or only accessible to the engineering team, requiring tradeoffs per dev cycle, and it ultimately slows everyone down (including overall growth). What starts simple quickly becomes dreadful as offerings grow & complexity along with them.
Our policy-based approach drastically simplifies eng integration (one policy check to meter/enforce/bill), and means pricing strategy & implementation can evolve independently from your codebase.
For non-technical users, the policy is presented as a much more intuitive table-like UI that maps to live usage & customer analytics. Any changes to the policy in Limitr Cloud are immediately enforced/reflected live without any redeploys or engineering time. Plus, it's versioned and can be rolled back just as fast if needed.
I expected a steeper learning curve for our non-technical users, to be honest. But the idea of a policy document as a spreadsheet of limits & offerings is familiar, and feels obvious.
Super interesting product, congrats on the launch! Curious - how do you handle edge cases like pricing experiments or migrating customers between plans without breaking historical usage data? That’s usually where things get messy :)
@oleksii_liaskovskyi Thank you! And great question! Customer state is preserved across plan changes, so meters are always accurate & independently evaluated for resets, etc. Limitr is entirely event-driven (even locally), so adding custom handlers for edge cases is straightforward in cases where you may want specific behaviors (model downgrading, forced state changes, etc.). Each customer in Limitr Cloud can be overridden for pricing experiments, and we have a lot of exciting features coming soon to help our users test their pricing ideas!
Congrats on the launch! The demo video was great, seeing that 5k to 10k token limit update in real-time without hardcoding is a huge win for developing speed. I also happen to notice the Stripe integration in your FAQ; would like to understand, do you also support (or have plans for) local payment gateways like Razorpay or Adyen for teams scaling in different regions?
@everton_abreu Thank you! And absolutely, we're keeping track of every idea to prioritize within our roadmap, and multi-region support is a priority. Razorpay and Adyen have been added to the list!