The Problem: As a B2B SaaS marketer, I was frustrated spending weeks trying to get customer interviews, only to get 2-3 responses. I needed quick feedback on brand positioning, messaging, landing pages, campaign ideas or sometimes asking questions about their buyer journey.
The Solution: resonaX creates digital twins of your ideal customers using their LinkedIn profiles or CRM data and behavioral data. You can validate marketing ideas instantly - no scheduling, no waiting.
How it works: Paste a LinkedIn URL → Get an AI twin in 30 seconds → Ask anything ("Would this headline make you click?" "What's your biggest objection?")
Early Results: 70 beta users, helping SaaS founders & marketers test everything from homepage copy to pricing pages to email subject lines.
What I'd love feedback on: - Does this solve a real problem you face? - Would you use something like this? - What concerns would you have about AI customer twins? - What are the use cases you would use it for mostly?
Currently in beta - happy to give HN folks free access in exchange for honest feedback!
Thanks for taking a look!
tene80i•1h ago
I am skeptical of the accuracy of a detailed AI-generated response, but as a broad guide to what a type of user I don't know well might be thinking, this is clever.
It's useful beyond B2B, but you'd want to pitch it in terms of generating living personas rather than focusing on linkedin profiles.
From a product / CRO background more than marketing, I'd be thinking of it in terms of identifying any issues different types of users might find with a page.
It's a clever idea. I think maybe it's so novel it would be easy to miss the value. Consider making the landing copy more concretely value-related. "Drive business growth" is very broad. "Drive more inquiries" or whatever makes sense in your area.
resonaX•57m ago
- thanks a tonne for your ideas on positioning and the copy, I will tighten it further.
- Quick question - did you get a chance to try creating a twin yourself? I'm curious about your experience with the actual responses and whether they felt accurate/useful from a CRO standpoint.
- Also, when you mention "identifying issues different user types might find with a page" - that's exactly what I'm seeing users do. They'll create twins of different customer segments and ask the same question to see how responses vary. So its like a quick A/B testing hypothesis.