Turn conversations into insight; surfaced when you need them
In order to bridge the inconsistency gap across GTM teams, we're creating the intelligence layer for your customer lifecycle. Conversation summaries aren't good enough; we turn real conversations into insights and deliver them to the relevant stakeholders when they need them. Initial clients have increased conversion rates by 27% and ramped reps 3x quicker.
Hello Product Hunt! Thanks for checking out Doris 👋 👥 Who we are I’m Hayden, co-founder of Doris Labs. After 10 years in tech (including Vertice, the UK’s fastest-growing startup) I’ve seen the same pattern over and over: a handful of top reps drive most of the revenue. My co-founder Frazer, previously leading AI product at PatSnap (a B2B unicorn), saw the same thing. So, we built Doris Labs to close that performance gap. 🚀 What Doris does Doris analyzes your team’s customer conversations (email
This looks like an extremely useful tool! How deep do the customer insights go and how are they used in practice?
Sounds great! Are the playbooks/analyses updated on an ongoing basis to take into account progressing conversations/interactions?
Looks awesome! Are you able to generate custom playbooks within Doris?
Very exciting news. Would be keen to hear what you perceive the top differentiators between MeetDoris and other standardised or unpersonalised AI agents/ copilots to be?
Check the similar products section on this page, or browse the category pages linked in the tags above. Each category page shows all products for a given year, sorted by engagement.
A measure of community engagement at launch. Higher means more people noticed and interacted with the product. It's a traction signal, not a quality rating.
Discussion threads divided by interest score. Above 0.30 is strong. Below 0.15 suggests the product got clicks but not conversation.
Categories come from the product's launch tags. Most products appear in 2-3 categories. The primary category is listed first.