Churn is the #1 killer of SaaS. Up to 50% of SaaS struggle with high churn. Banyan AI is here to help. Our tool enables you to detect churn before it happens and prevent it. With Banyan AI, you can unify your most critical revenue data (CRM, billing, support, product usage) into a single interface. Based on this data, you can identify churn risks and expansion opportunities (customers ready to buy). Time to value: minutes. Results: measurable and quantifiable. Churn prevented, revenue saved.
I’m Davit, co-founder of Banyan AI, and we’re excited to launch here for the first time.
Did you know that a 5% monthly churn rate can reduce your annual revenue by nearly half? Or that many SaaS companies lose 2–5% of their revenue to leakage? New leads matter, but your existing customers are your real treasure.
If you're struggling with churn or finding it hard to expand revenue, we’ve got you covered. Welcome to Banyan AI 🌳🚀
Our platform unifies data across your tool stack (billing, CRM, product analytics, support) and detects signals that are scattered across those tools. Banyan AI automatically detects:
Customers likely to churn
Hidden revenue leaks
Expansion opportunities
Instead of digging through dashboards, you get clear AI insights about your revenue health and what needs attention. Check out our website or our blog.
I’ll be here in the comments all day. Thanks for checking out Banyan AI 🙏
How many customers must you have before you start valuing a tool like this? Congrats on the launch!
Great product that solves a real pain! Reducing churn is low-hanging fruit as long as you know how to detect it beforehand :)
The "text-to-API" approach for connecting data sources is clever – removing the integration bottleneck is probably the single biggest thing that determines whether a tool like this actually gets adopted or sits unused after the trial.
One question: at what point does Banyan become useful in terms of data volume? If I'm an early-stage SaaS with 50-100 customers, is there enough signal for meaningful churn predictions, or does this really shine once you hit a certain scale?
What signals do you look for to identify customers that are likely to churn?
As one who is building my first SaaS product, this is really interesting! Particularly intriguing is the ability to identify clients or customers who are ready to upgrade.
Well after checking out this product and seeing the potential churn behind our own, this one helped us save a decent amount of our churn by being able to assist our own customers.
Unifying billing, CRM, support and product usage into one view is the real value here. Most founders check these in 4 different dashboards. Congrats!
Being proactive as oppose to reactive is definitely the way to go. I'd love to see progress into remediating and taking actions to prevent churn. Congrats on the launch!
Clear and compelling spotting churn before it happens is an immediate pain point for SaaS teams. I’d punch it up with the main outcome first: “Prevent churn and capture expansion opportunities in minutes, all from one unified dashboard.
Hey, congrats on the launch! Churn is such an underrated problem in SaaS, and I like how you have combined all this data into one view. Makes a lot of sense. Curious to try it out! Do you get like instant notifications?
Strong problem, but the hook feels a bit textbook SaaS I’d cut the stats and lead with a sharper outcome like spot churn 30 days before it happens. Time to value: minutes is great though lean harder into that and may be show one concrete example to make it feel real.
That 5% churn stat you shared really hits me. I spent some time on your site. The comparison table with Gong, ChurnZero, and Clari caught my eye. That's bold. Most companies hide from comparisons. You put it right out there. I respect that.
One small thing I noticed. That table is tucked under a Comparison tab. A founder skimming the page might never click there. If it's one of your best trust builders, maybe give it more space.
Also the "2 Minutes from Sign-Up to Churn Detection" line is gold. That's exactly what busy founders want to hear.
Good luck with the launch. Excited to see where this goes.
In education, churn looks different than in typical SaaS — a student finishes a course and leaves, which is not churn, it is a natural end. But someone who stops halfway through is a completely different signal. How well does the detection handle that difference, where inactivity does not always mean risk?
Hey Product Hunt 👋,
I’m Davit, co-founder of Banyan AI, and we’re excited to launch here for the first time.
Did you know that a 5% monthly churn rate can reduce your annual revenue by nearly half? Or that many SaaS companies lose 2–5% of their revenue to leakage? New leads matter, but your existing customers are your real treasure.
If you're struggling with churn or finding it hard to expand revenue, we’ve got you covered. Welcome to Banyan AI 🌳🚀
Our platform unifies data across your tool stack (billing, CRM, product analytics, support) and detects signals that are scattered across those tools. Banyan AI automatically detects:
Customers likely to churn
Hidden revenue leaks
Expansion opportunities
Instead of digging through dashboards, you get clear AI insights about your revenue health and what needs attention. Check out our website or our blog.
I’ll be here in the comments all day. Thanks for checking out Banyan AI 🙏