Practice difficult conversations before they happen
Most managers learn to have hard conversations by having them badly. Peopling gives you a private space to practice.AI-powered voice roleplay for the conversations that actually matter: the feedback you've been avoiding, the alignment talk you keep rescheduling, the 1:1 that's quietly going sideways. Built by a coach who's worked with engineers and managers across Stripe, Netflix, Roblox, Headspace, and more. Less theory. More reps.
Coaching changed how I show up at work. I want that for everyone — not just the people lucky enough to have a great manager or mentor. That's Peopling.
Can you customize the AI persona to match a specific manager's communication style, or does it adapt based on the scenario you pick? Seems like a great way to build confidence before real conversations.
This is actually a brilliant idea, feels like something a lot of people should use but never will until it’s too late. Serious question though… can it handle “advanced difficulty” scenarios? Like preparing for a conversation with your mom where you have to explain… a bit of a spicy situation involving her best friend... Curious how realistic the roleplay gets when things go fully off-script.
The concept and use cases are excellent. How defencible is this to people simply feeding a good prompt into an LLM and get a similar result (albeit not as polished)? Is it packaging and UX, or do you have more complex app-level scaffolding?
Interesting idea. Can the service model communication styles? For example, I need to practice negotiations with a tough negotiator that I’m afraid of. I describe to the service who I’m going to negotiate with and what kind of person they are, and it adjusts its tone to match that profile?
The scores reflect launch-period engagement. Historical data is preserved and doesn't change retroactively. The build date at the bottom shows when the index was last refreshed.
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.