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).
Analyze URLs and PDFs for tone, claims, safety, and opinions. Unlike most AI moderation and detection tools, Vibecheck analyzes conversations in the context of the community they were posted in — helping you understand tone, escalation, spam, claims, disagreement, and what’s actually happening in the thread.
Hey Product Hunt, Mike and Ajay here 👋
We built Vibecheck because internet conversations are getting harder to understand.
Most AI moderation tools analyze content in isolation: toxicity scores, keyword matches, policy labels, risk categories, etc.
That’s useful…but online conversations don’t happen in isolation.
The meaning of a comment often depends on:
- the surrounding thread
- the community norms
- recurring dynamics between users
- whether the conversation is escalating or self-correcting
- and how other people are reacting to it
That’s the gap we built Vibecheck for.
What’s actually happening in the thread?
Is this harassment, or friends roasting each other?
Is misinformation spreading, or are users pushing back on it?
Is this one angry user, or part of a recurring conflict?
Is the conversation getting worse, or working itself out?
Vibecheck acts more like a weather report for online conversations: "Do I need to bring an umbrella to this thread?"
We analyze tone, escalation, disagreement, claims, spam, recurring conflict, and whether a conversation is likely getting healthier or worse over time.
Would especially love feedback from moderators, community builders, founders, researchers, and anyone trying to make sense of online conversations.
How do you define what “normal tone” looks like for a specific community without overflagging sarcasm and in jokes?
About Vibecheck by Open Notes on Product Hunt
“Like a weather report for online conversations”
Vibecheck by Open Notes was submitted on Product Hunt and earned 5 upvotes and 3 comments, placing #66 on the daily leaderboard. Analyze URLs and PDFs for tone, claims, safety, and opinions. Unlike most AI moderation and detection tools, Vibecheck analyzes conversations in the context of the community they were posted in — helping you understand tone, escalation, spam, claims, disagreement, and what’s actually happening in the thread.
Vibecheck by Open Notes was featured in Social Media (88.9k followers), SaaS (42k followers) and Community (3k followers) on Product Hunt. Together, these topics include over 68.3k products, making this a competitive space to launch in.
Who hunted Vibecheck by Open Notes?
Vibecheck by Open Notes was hunted by Mike K.. 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 Vibecheck by Open Notes stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Mike K.