Download every comment from any YouTube video, channel, or playlist, then turn them into an AI report — audience signals, sentiment, and content ideas. Every insight links back to a real public comment you can verify. Free to start.
Hi Product Hunt, I'm Yana Li, maker of AudienceCue.
I built AudienceCue because YouTube comments often contain the most useful audience research: repeated questions, objections, praise, pain points, content ideas, and competitor clues. But once a video has hundreds or thousands of comments, reading them by hand breaks down.
AudienceCue lets you paste a public YouTube link, download comments, and turn them into a cited AI report. The part I care about most: important insights link back to the real public comments behind them, so you can verify the evidence instead of trusting a generic AI summary.
You can inspect a real public sample report here:
https://audiencecue.com/en/sampl...
What it does today:
- download public YouTube comments from videos, channels, and playlists
- generate cited audience reports
- surface audience signals, sentiment, objections, praise, and content ideas
- export comments and reports
It does not auto-reply, moderate, delete, pin, heart, or write to your YouTube channel.
PH launch offer: PRODUCTHUNT gives 50% off the first month on eligible Starter and Pro monthly plans:
https://audiencecue.com/en/produ...
I'm also opening a Discord for deeper feedback and launch follow-up:
https://discord.gg/nhjaBFSpDk
I'd love honest feedback here on Product Hunt: what would make an AI report about audience comments trustworthy enough for your workflow?
No comment highlights available yet. Please check back later!
About AudienceCue on Product Hunt
“Turn YouTube comments into cited insights and a report”
AudienceCue launched on Product Hunt on June 17th, 2026 and earned 85 upvotes and 1 comments, placing #23 on the daily leaderboard. Download every comment from any YouTube video, channel, or playlist, then turn them into an AI report — audience signals, sentiment, and content ideas. Every insight links back to a real public comment you can verify. Free to start.
AudienceCue was featured in Marketing (465.8k followers), Artificial Intelligence (473.1k followers) and YouTube (16.9k followers) on Product Hunt. Together, these topics include over 185.8k products, making this a competitive space to launch in.
Who hunted AudienceCue?
AudienceCue was hunted by Rohan Chaubey and Yana Li. 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 AudienceCue stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Rohan Chaubey,
Yana Li