This product was not featured by Product Hunt yet. It will not be visible on their landing page and won't be ranked (cannot win product of the day regardless of upvotes).
Undertone is a macOS app that listens along to your calls. When a code name, acronym or internal project comes up, a small panel beside the call explains it from your team's own Slack, Notion and Jira. When someone asks you a question, it brings up the facts you need. Afterwards you get the recap, your tasks and a follow-up draft. Calls are transcribed on your Mac and no bot joins the meeting.
Hey Product Hunt 👋 I'm Slaven, and I built Undertone.
Every company has its own language: project code names, acronyms, internal tools and half-explained decisions. New joiners, people working in a second language and anyone switching teams spend calls quietly guessing. I was one of them.
Undertone runs on your Mac and transcribes the call on-device, with no bot in the meeting. When a term comes up that you probably don't know, a small panel explains it from your team's own Slack, Notion and Jira, with a link to where the answer came from. When someone asks you something, it shows the context so you can answer in your own words. Afterwards you get the recap, your tasks and a follow-up draft.
It works with Zoom, Google Meet, Teams, Webex, Slack huddles and FaceTime, and with the AI you already have (OpenAI, Anthropic, Gemini or a local model), or free credits to start. A made-up sample meeting plays through the real panel before your first call, so you can see it working in a minute.
I'd love your feedback on two things: which terms or moments it missed in your calls, and what you'd want in the recap.
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About Undertone on Product Hunt
“Explains your company's jargon during calls”
Undertone was submitted on Product Hunt and earned 3 upvotes and 1 comments, placing #65 on the daily leaderboard. Undertone is a macOS app that listens along to your calls. When a code name, acronym or internal project comes up, a small panel beside the call explains it from your team's own Slack, Notion and Jira. When someone asks you a question, it brings up the facts you need. Afterwards you get the recap, your tasks and a follow-up draft. Calls are transcribed on your Mac and no bot joins the meeting.
Undertone was featured in Productivity (665.3k followers), Meetings (6.5k followers) and Artificial Intelligence (483.4k followers) on Product Hunt. Together, these topics include over 319.2k products, making this a competitive space to launch in.
Who hunted Undertone?
Undertone was hunted by Slaven S. 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 Undertone stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Slaven S
Hey Product Hunt 👋 I'm Slaven, and I built Undertone.
Every company has its own language: project code names, acronyms, internal tools and half-explained decisions. New joiners, people working in a second language and anyone switching teams spend calls quietly guessing. I was one of them.
Undertone runs on your Mac and transcribes the call on-device, with no bot in the meeting. When a term comes up that you probably don't know, a small panel explains it from your team's own Slack, Notion and Jira, with a link to where the answer came from. When someone asks you something, it shows the context so you can answer in your own words. Afterwards you get the recap, your tasks and a follow-up draft.
It works with Zoom, Google Meet, Teams, Webex, Slack huddles and FaceTime, and with the AI you already have (OpenAI, Anthropic, Gemini or a local model), or free credits to start. A made-up sample meeting plays through the real panel before your first call, so you can see it working in a minute.
I'd love your feedback on two things: which terms or moments it missed in your calls, and what you'd want in the recap.