New on Product Hunt: Product Hunt now flags comments that are AI-generated.
Product Hunt now flags comments that are AI-generated. Honestly, I think this is a good thing.
I am attaching a screenshot below that shows how AI comments are marked.
AI comments tend to be loud, generic, and overly polished. Having that distinction visible could make communities more transparent and encourage people to leave genuine feedback.
It made me wonder today, what happens if platforms like LinkedIn, X and Reddit start following the same path. That would make social media real again.
For me, the best way I've found to write genuine comments is pretty simple: I dictate them using @Aqua Voice.
I turn on the AI diction app, say what I'm actually thinking, then make a few small edits for formatting or clarity. That's it. I have also started using tools that auto-complete my sentences in case I am typing them manually.
Over to you!
How do you feel about AI-generated comments on Product Hunt?
What's your productivity hack for writing genuine comments? Do you use diction apps, auto-complete tools or anything else?
P.S. In case you're looking for AI dictation apps, here's a list that @aaronoleary worked extensively on: Orbit Awards for AI Dictation Apps
Auto-complete tools are a great way to speed up your writing. You can try @Typeahead by @hnshah or @Cotypist by @daniel_a_a.
Replies
this is good move too
Mastra
Love it. The Product Hunt community isn't just the most curious, helpful, and supportive tech community on the internet. It's also the most authentic.
AISA (aisa.to) AI Fluency Assessment
the real problem isn't AI-written comments, it's low-effort comments. a human leaving 'congrats on the launch!' on 50 products is just as worthless as an AI doing it. the detector should flag empty praise regardless of who wrote it.
As a non-native English speaker... this is exactly the part that makes me a bit nervous
😭😭😭
I use AI all the time to clean up my English. Not to come up with the thought. The thought is mine. The experience is mine. I just want it to sound less awkward.
So if “too polished” starts looking suspicious... we may end up flagging the people who actually need language tools the most.
Maybe the better question isn’t “did AI touch this?” instead “did this person actually add something useful here?”
How are you thinking about that?
the part i would watch is not false positives in general, it is who they land on.
the tell you describe is a register, not an authorship signal. loud, generic, evenly polished, every sentence about the same length. that is also how a lot of people write when english is their second language and they were taught that correct means formal. they are being careful, and careful reads as machine.
so the label mostly selects for polish, and polish is not evidence. the people most likely to get marked are the ones who proofread hardest, which is close to the opposite of the group anyone wants to catch. meanwhile someone actually generating comments can turn the polish down in one instruction, so the cost lands almost entirely on the wrong side.
the version i would want is the label shown to the author first, privately, before it goes public, with a chance to edit. same detection, none of the cost of being wrong in front of everyone.