Most people walk out of an important call thinking "I should have asked that." Ruby makes sure you don't. She listens in real time and slides you the question worth asking — through a small pill only you can see, live as the conversation unfolds. → Before: she helps you think through your goal and what to listen for. → During: she nudges you with the sharper question, at exactly the right moment. → After: she writes the recap, so you don't have to.
Hey PH 👋
We've launched a lot of products here. Behind every one is the part nobody posts about: tens of hours on calls with users, trying to understand their actual problems.
Those calls are deceptively hard. You're talking to someone with real domain expertise, it's moving fast; and you miss the moment to ask the obvious follow-up, or you hang up and realize you never got to half your objectives.
We kept wishing for the same thing on every call: an AI sitting in with us that knew what we were trying to learn, and handed us the right question at the right moment.
So we built her. Meet Ruby.
You tell her your objective before the call. She listens live and slides you the question worth asking, through a small pill only you can see. Not a note-taker, not a summarizer: a second mind in the room, thinking about what to ask next while you stay in the conversation.
We run it on every user interview, sales call, and investor meeting now. Free for the whole beta — try it and tell us what you'd want it to catch. We read every reply ⬇️
Congrats guys! I really clean, friendly and simple design of this app. Ruby logo revived) Onboarding is super fast and simple.
The only thing that it works only with Claude subscription, which I don't have. So would be nice to have possibility to choose from different lllm vendors: claude, gemini, chatgpt, local ones in LM studio, etc.
Incredible app. Man such a great concept and when I fed it a good prompt it gave me great questions for me meetings. I was shocked. My one flaw is that I prompted it but did click start and it didn’t auto detect a meeting so no help on that one but I’m sure it’s coming. Amazing app.
Cool idea to be more productive, love the ui. Great Reimagination of Ruby programming language branding :D congrats on the launch guys
Running customer discovery calls as a first-time CTO, I know that post-call feeling of "I should have dug deeper on that." The in-call nudge approach is smart - it's the difference between coaching before the game vs. yelling from the sideline after. Curious how Ruby handles long tangents - does she still queue the question or re-adapt context? Either way, trying this on my next user interview.
The interesting part here is the narrowness of the wedge. There are already plenty of tools trying to capture everything after the call, though staying present while still noticing the thread you should probably pull on is sometimes the hardest part.
Curious how Ruby handles that in real time. If the conversation goes off-script but starts revealing something useful, does it follow that thread and suggest deeper questions, or does it mostly anchor back to the objective you set before the call?
This is such a good idea. As a neurodivergent person, I always remember the important question after the call is over. A small real-time nudge would help a lot. How subtle are the prompts during the conversation?
Ruby looks like the kind of tool that’s useful because it stays simple. I like products that solve one clear problem without making you learn a whole new workflow first.
Does Ruby run its real-time transcription and suggestions locally, or is call audio sent to the cloud? Curious how that works for calls under NDA or with privacy-sensitive interviewees.
The invisible pill UI is the right call, the moment it becomes visible to others it turns into a crutch and kills authenticity. What I'm curious about: does Ruby learn from the calls that went well? Like, if I closed a deal after asking a specific sequence of questions, does it start surfacing similar patterns in future calls?
One thing worth flagging for anyone getting an error on first launch 👇
You'll need Claude Code installed in your terminal for Ruby to work, not just the Claude desktop app. They're two separate things, and the app alone won't connect.
If you've hit an error during your first prep chat, that's almost always why. Install Claude Code in your terminal and you'll be set.
Happy to help if anyone's still stuck 🙌
This resonates a lot. The hardest part of user interviews is often knowing what to ask next, not taking notes. Has Ruby ever surfaced a question that completely changed the direction of a conversation?
About Ruby on Product Hunt
“Ask better questions, live on every call”
Ruby launched on Product Hunt on June 24th, 2026 and earned 133 upvotes and 22 comments, placing #9 on the daily leaderboard. Most people walk out of an important call thinking "I should have asked that." Ruby makes sure you don't. She listens in real time and slides you the question worth asking — through a small pill only you can see, live as the conversation unfolds. → Before: she helps you think through your goal and what to listen for. → During: she nudges you with the sharper question, at exactly the right moment. → After: she writes the recap, so you don't have to.
Ruby was featured in Productivity (654.8k followers), Sales (21.9k followers) and Artificial Intelligence (472k followers) on Product Hunt. Together, these topics include over 254.7k products, making this a competitive space to launch in.
Who hunted Ruby?
Ruby was hunted by Sunny ☀️. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
Want to see how Ruby stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.