Honestly
See what Reddit and TikTok honestly think about your product
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Honestly - See what Reddit and TikTok honestly think about your product

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As bots and AI agents overrun the internet, finding real customer opinions is only getting harder. Honestly cuts through the chaos by discovering verified conversations about your product across Reddit, TikTok, X, YouTube, Instagram, & Facebook then turning them into insights your team can act on.

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Maker
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Hey Product Hunt 👋 I'm Scott, part of the founding team at Honestly.

Why we built it:

Bots and AI agents now generate more internet traffic than humans.

Your customers talk about your products every day across social media. But as AI-generated content, sponsored posts, and fake reviews become more common, finding authentic customer feedback is getting harder by the minute.

Today teams either spend hours scrolling social feeds themselves or rely on expensive tools that surface more noise than insight - but this felt wrong to us.

What Honestly is:

Honestly finds & verifies all customer conversations about your products, so you get honest insights built on data you can trust.

Simply enter a product by its name on our platform, and Honestly will help you:

  • Build better products by understanding exactly what customers love and dislike

  • Improve marketing by uncovering trends and high-performing content

  • Identify competitor weaknesses and market opportunities

  • Generate custom reports tailored to your business needs

What we believe:

As AI-generated content continues to flood the internet, authentic customer conversations will only become more valuable.

The companies that win will be the ones that can find real consumer data online, understand it quickly, and convert it into informed product and marketing decisions.

That's what we're building with Honestly.

Product Hunt offer (first 500 signups only!):

As a thank you to the Product Hunt community, we're offering a special deal to the first 500 signups that use code HonestlyPH26 when signing up for early access on our website:

🎉 7-day free trial
🎉 25% off for LIFE

We'd love to hear about:

  • How you currently gather customer feedback from social media

  • What’s most frustrating about finding real customer opinions today

  • How AI-generated content is impacting your customer research process

Thanks for checking out Honestly 🙏

 Hey , good hunt! Scott, congratulations on the launch! Honestly looks like a really interesting product. :)

I was wondering how you filter AI-generated content. Users might sometimes write their feedback and then rewrite it with AI into a polished version. Does your system detect whether a real opinion was AI-polished, or do you have a specific method for identifying and filtering AI content?

Also, is there a sample report available to view? When I visited the website, I only saw the waitlist and couldn’t find much beyond that. But I saw a glimpse of the report in the launch video.

Happy launch day! :)

Maker

   Hi Rohan, great question! For detecting whether or not a post is AI generated, we have internal tooling combined with partnerships with leading AI detection models for image, video, audio, and text detection i.e. CheckReality.ai. This way we ensure with high confidence that the social media content we are providing our clients consists of authentic opinions.

As for the sample report, I believe you were referring to the customizable reports generated on a case-by-case basis. Because those are highly tailored, we'll provide a personalized report to everyone who books a demo for early access to the Honestly product by visiting our website :)

Appreciate the comment, questions, and support once again Rohan!

     I was going to ask the same question about identifying/filtering the AI content. With AI tools becoming more sophisticated by the minute, how can you stay ahead and verify authenticity?

Maker

     Our partnerships with lead AI detection partners and internal tooling that ingest variables about social media posts like text type/structure, account history, and other factors ensure high confidence in classifying posts as authentic or not. Thanks for the question!

     Congrats on the launch! Very cool product and I can see it's usefulness across a variety of applications. My question was around filtering the content for authenticity and AI fingerprint but you've touched on that in some of the replies already.

Maker

 Looks great. Will try out today

Maker

 Thanks so much Kabandi! What do you think your biggest use case might be?

Maker
Maker

 thanks so much! Would love to what specifically you like most (or maybe have most to say about) for Honestly?

 Congrats! How does Honestly verify that a conversation is genuinely from a real customer, and can teams tune the confidence threshold or sources you check to match their product category?

Maker

   thanks! The organic vs sponsored vs AI scoring is universal using a set of custom algorithms on the sponsorship detection along with AI detection partnerships (I.e. checkreality.ai). We then tailor the filtering and data ingestion based off of your use case. (Affiliate detection, product development etc..)

Hunter

Excited to hunt Honestly today.

helps brands, retailers, and growth teams understand what people are really saying about their products across Reddit, TikTok, X, YouTube, & Instagram.

Instead of relying on broken 5-star ratings, synthetic surveys, or dashboards full of vanity metrics, Honestly turns real internet conversations into product, creator, affiliate, and competitor intelligence. Teams can see which products are getting organic traction, what customers actually mention, which creators are already driving demand, and where competitors are winning attention. No more manual scrolling through social media or filtering noise using decades-old tools that promise perfect data but can’t deliver.

What stands out here:

• Find real product opinions from Reddit, YouTube, X, TikTok, Instagram, and other social platforms

• See customer language, sentiment, attributes, and recurring themes by product

• Instantly detect creators, affiliate mentions, sponsorship gaps, and partnership opportunities

•Get detailed reports about questions you have on popular product features, important customer preferences, popular social trends, and more

If you work on product, growth, ecommerce, affiliate, or competitive intelligence, Honestly is worth checking out. It helps teams replace guesswork with evidence from the real internet.

Maker

 Thanks Alex! Couldn't be more happy and grateful to be Hunted by Alex for this launch of Honestly's newest version of our platform. When we first met, we shared the vision of how finding real signal about products on the internet, and especially on social media, was a problem space that was only going to be more valuable in the AI driven world that continues to evolve around us.

Look forward to answering any and all questions you all might have for our launch as work to make sure founders and brands alike are able to make informed decisions on marketing, strategy, product development, and more based on the honest insights built on the real product-level conversations Honestly provides!

Hunter

 I’m more than happy to be the Hunter for Honestly and support this launch.

It was really fun when we first met.

What surprised me in a very positive way is how quickly you and the team have moved. Especially with the key partnerships in South Korea and integrations you’ve already built.

And yes, I completely agree. There is so much AI slop online right now that real human conversations are becoming more valuable than ever.

Especially in tech, there is almost nothing more valuable than honest customer reviews and product-level conversations. That’s why I think Honestly can be extremely useful for tech brands that want to understand what people actually think, not just what dashboards or synthetic surveys show.

Maker

 100% agree! And speed is always key - speed that will continue to be part of the services we provide for any new customer, especially those coming from Product Hunt!

Maker

 Thank you Alex for being our earliest supporter! Excited to be launching with you.

Hunter

 likewise Paolo! Great to work with you guys!

As a founder, I care a lot about what people actually say when they are not filling out a feedback form or answering a survey. Reddit threads, TikToks, comments, and random posts often contain much more honest product feedback than the “official” channels.

The hard part is separating real signals from noise, especially now that so much of the internet is either AI-generated, sponsored, or just recycled takes. So I like the idea of focusing on verified conversations and turning them into something a team can actually use.

Curious how Honestly decides what counts as authentic or trustworthy feedback. Do you show the original source and context behind each insight, or mostly the summarized findings?

Also, how well does it work for early-stage products that don’t have a huge amount of mentions yet?

Maker

 Thank you for the detailed comment and questions Andras! Besides the partnerships with leading AI detection models mentioned in Rohan Chaubey's comment to detect AI content, we separate organic vs. sponsored posts by analyzing the account, tags, mentions, script, and video/image of the post itself. There are various signals that determine whether or not a post is an underlying advertisement across the aforementioned modalities, and we developed an algorithm internally to differentiate the two.

As for how Honestly works with early-stage products, many of our smaller teams have used competitive analysis of products with a more established social media presence to not only analyze competitors but better understand what content topics and formats attract engagement.

What sort of methods have you seen earlier-stage startups use to find these mentions so far? And where do you think the bottlenecks lie?

 Thanks for the detailed answer, Scott, that makes sense! :)

From what I’ve seen, earlier-stage startups usually do this in a very manual way. They search Reddit, X, TikTok comments, YouTube comments, Google, sometimes even Discord communities, then try to save interesting mentions in Notion, Slack, or a spreadsheet. It works when there are only a few mentions, but it breaks pretty quickly.

For me, the bottleneck is not only finding mentions. It’s understanding which ones actually matter. A random comment, a repeated complaint, a competitor comparison, or a TikTok with strong engagement can all mean very different things.

For early-stage teams, I think competitive analysis is probably the strongest entry point. Even if people are not talking about your product yet, they are already talking about the problem, the category, and your competitors. Being able to turn that into product and marketing insights could be very useful.

   The competitive analysis angle makes a lot of sense for early-stage. If nobody’s talking about your product yet, they’re already talking about the problem and competitors - still valuable signal. Do you see teams successfully converting that into insights early on?

Maker

 Love where your mind is at - focusing on understanding which ones matter rather than just finding mentions. This is the biggest challenge for most founders & earlier stage teams. I couldn't agree more with your approach and this focus on the problem, category, and competitors are the exact services many of our smaller teams request. Thank you for your detailed thoughts and engagement with our launch!

Interesting idea. How do you determine whether a comment is actually authentic versus just engagement bait or bot activity?

Maker

 Great question! It is the core what makes our company - we not only partner with leading AI detection models such as CheckReality that specialize in imaging, video, & text modalities but our internal algorithms also ingest variables like text content, account history & activity, etc. to classify a post with high confidence. What do you think the biggest use for telling the difference between the two is for your company?

 Probably product research. I'd rather build based on genuine user opinions than AI-generated comments that all sound convincing but don't represent real users.

Maker

   100%, just another reason why we're working hard to build out the world's largest authentic opinion dataset!

Maker

 We have our own algorithms and models to determine whether posts are sponsored or organic, and we partner with leading AI detection models (such as checkreality.ai) for image, audio, and video authenticity. This way we ensure with high confidence that the social media content we're providing our clients consists of authentic opinions.

 That's interesting. The sponsored vs. organic distinction is probably just as important as AI detection. I'd be curious to know how accurate those classifications are in practice.

Maker

   In practice the classifications are done with very high accuracy. To determine that for yourself, I encourage you to test it out for yourself with our free demo offering!

Finding out real customer opinion is really hard these days. By the time teams find these opinions customers already reach to it
Curious, can Honestly help me pick up on complaints across niche communities. for example developers flagging same issue across multiple forums. (something of that pattern). It would be a real game changer.

Maker

 Definitely agree! And 100% we can. We run sentiment analysis on all posts about the product or product keyword you're interested in. So anytime there is a specific issue that repeatedly pops up, our insights engine will let you know about it.

Are complaints the only area of interest or are you also curious about the product attributes customers enjoy the most/ are most popular?

Complaints help me find the market gaps. But yes finding out product attributes which customers find useful are also what we look at on regular basis.
Maker

 Definitely, customers that complain show the opportunities you can capitalize on. Product attributes are interesting as well since they are a form of playbook for growth - you see what already is popular, receive views/engagement, then capitalize on it.

Speaking of market gaps, how do you currently go about finding them & what challenges do you face when doing so?

Personally, I spend a lot of time in niche subreddits and on twitter looking for honest customer conversations.
The hard part is the scraping. Going thread by thread, trying to figure out whether a complaint you keep seeing is a widespread pain point or just one frustrated person having a bad day.
If its a common complain then i would do my research and find out if it is a gap that we could build on.
That distinction between opportunity and noise is everything.

Maker

 Scraping is much more difficult than most believe, and you're correct in saying that many of the real customer conversational gold lies in these niche forums/ communities. Cracking the code here is key and is why we have been able to get as far as we have! Thank you for your thoughtful comments and for engaging so much with our launch!

Can't help but hear the beats of a ; now my whole brain is dancing. 😂

Anyway, like the idea because it's kind of a way to find collaborators and create some affiliates for them.

Maker

 Same here! Have to credit my CTO with making that suggestion. Thanks so much for the kinds words and yes finding collaborators and affiliates has been a big ask of many of our clients. From your perspective, what bottleneck do you see with finding collaborators/affiliates that makes you think Honestly is best for solving it? Since you have familiarized yourself with so many great products in the PH community, would love to get your thoughts!

Hunter

 hahah true right?

You should jump on a call with Scott. He will do the best demo. It's amazing to see the reports. He did several reports for me and really impressed on the final output.

Congratulations on the launch!
Being able to pull data from so many sources that are scraping protected is very impressive!

Later would you guys also consider getting information from Facebook, maybe Facebook groups?

Maker

 Thank you very much, George! We really appreciate that and we actually can pull from Facebook at the moment! Facebook groups are their own beast though and that is a problem we have yet to crack since they are private and we focus on public data. Do you ask because you've noticed many valuable insights coming from Facebook groups? If so, how have they differed from public customer discussions?

Maker

 Thanks George!

There are a lot of trolls though. Are you guys able to get serious feedback?
Maker

 Thanks for the comment. Just for clarity, what do you mean by trolls? Because if you are talking about about individuals that create fake reviews, promotion disguised as organic content, etc. then yes our internal algorithms can flag these posts and remove them from the data that actually matters for your product.

Maker

 Getting real opinions is what we do best ;) Our whole foundation is on verified authentic opinions!

Hey ,qq like a fake reviews are an absolute nightmare on marketplaces right now. does this track conversations happening inside closed loops like reddit threads and discord, or is it strictly pulling from public apis like twitter/x? great to see launch

Maker

 My cofounders ran a marketplace in their previous company so we all know the horror stories of fake reviews on marketplaces too well unfortunately! For specific data tracked, anything that is public data is data that Honestly can access, so yes to both of your questions.

 Appreciate the response, marketplace review problem definitely needs better tools like this. love it

Maker

 Of course! Appreciate your thoughtful questions.

How are insights looking? Does it also come with recommended actions? Seems very interesting tho

Congrats for your launch

Maker

 Thanks Florent! Every insight in Honestly includes a specific action rather than just a sentiment score.

For example, if a marketer is tracking the Samsung Galaxy S26, instead of seeing "Display sentiment is 72%," they would see: "103 TikTok videos in the last 30 days highlighted the Vision Booster feature. Lead with Vision Booster instead of the 120Hz Display in TikTok marketing using outdoor brightness demos."
We would switch the insights and actions depending on the use-case: Affiliates, marketing, ads, competitor tracking.

Maker

   Thanks for the great questions and the congratulatory note. Paolo took the words right out of my mouth, especially with the example he gave. If you have any other questions, feel free to ask!

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