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).
ContentHooks
Analyzes your videos, writes hooks based on what works.
Mino watches your TikToks and Reels frame-by-frame, tells you exactly why they hit (or didn't), and writes your next hook. Trained on 1,000 viral hooks and 300 hours of coaching.
Over the past year, working closely with creators, one problem kept coming up: they post a video, it flops, and they have no idea why. Was it the hook? The pacing? A weak cut three seconds in? Most people just guess and move on to the next post.
So we built ContentHooks.
It watches your TikToks and Reels frame by frame (not just the transcript) and tells you specifically what's working and what isn't: the strength of your hook, where retention is likely dropping, and where the pacing lags. It also writes hook scripts based on patterns pulled from thousands of viral videos, so you're not starting from a blank page every time.
A few things we're especially proud of:
Frame-by-frame video analysis, not just captions or transcripts
Pinpoints where in the video attention likely breaks — hook, cut, pacing
Generates hook scripts trained on patterns from viral content
Built from real trial and error running real accounts, not theory
This came out of a real, frustrating gap we wished this existed a year ago when we were guessing too.
Happy to answer anything about how the analysis works, what it's trained on, or what's next on the roadmap. Would love your feedback!
No comment highlights available yet. Please check back later!
About ContentHooks on Product Hunt
“Analyzes your videos, writes hooks based on what works.”
ContentHooks was submitted on Product Hunt and earned 0 upvotes and 1 comments, placing #158 on the daily leaderboard. Mino watches your TikToks and Reels frame-by-frame, tells you exactly why they hit (or didn't), and writes your next hook. Trained on 1,000 viral hooks and 300 hours of coaching.
ContentHooks was featured in Social Media (89.2k followers) and Marketing (467k followers) on Product Hunt. Together, these topics include over 102.7k products, making this a competitive space to launch in.
Who hunted ContentHooks?
ContentHooks was hunted by Zain Ahmed. 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 ContentHooks stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Zain Ahmed
Hey Product Hunt! 👋
Over the past year, working closely with creators, one problem kept coming up: they post a video, it flops, and they have no idea why. Was it the hook? The pacing? A weak cut three seconds in? Most people just guess and move on to the next post.
So we built ContentHooks.
It watches your TikToks and Reels frame by frame (not just the transcript) and tells you specifically what's working and what isn't: the strength of your hook, where retention is likely dropping, and where the pacing lags. It also writes hook scripts based on patterns pulled from thousands of viral videos, so you're not starting from a blank page every time.
A few things we're especially proud of:
Frame-by-frame video analysis, not just captions or transcripts
Pinpoints where in the video attention likely breaks — hook, cut, pacing
Generates hook scripts trained on patterns from viral content
Built from real trial and error running real accounts, not theory
This came out of a real, frustrating gap we wished this existed a year ago when we were guessing too.
Happy to answer anything about how the analysis works, what it's trained on, or what's next on the roadmap. Would love your feedback!