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


Replies
Honestly
@sergiu_chiriac Thank you Sergiu! The vanity metrics are flashy but never drive real business value a the end of the day. That's we harp on using real customer conversations so much. What are the key metrics you always want to see when making informed decisions based of consumer data?
I think this is incredibly useful for customers and product builders. AI detection is incredibly hard. How are you able to filter out AI reviews from real customer opinions?
Honestly
@s_manas_kala Thanks for the kind words and the 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. It sounds like you have familiarity with AI detection space - what issues did you encounter with other methods used in the past?
SlimSnap
Reddit is the hardest of these sources to pull from cleanly. It's hostile to automated access, and half of what reads like a "real opinion" there is planted marketing. How are you handling both sides: getting the data reliably without tripping Reddit's defenses, and separating the astroturfed stuff from the genuinely useful threads?
Honestly
@bickov You bring up some great points - these are both very valid concerns when trying to find the right data. For the hostility to automated access, we have been able to crack the code so to speak using some of our proprietary algorithms and reliably pull Reddit data about specific products over and over. As for the planted marketing, this occurs all the time. Some of the biggest indicators of if the post is marketing trying to disguise itself as authentic revolve around the text itself, the upvote count, subreddit it is posted in, and other details specific to the account. However, this is an issue we have been able to address well based on variables relevant to the post like the one I mentioned.
Sounds like you had experience with this problem firsthand - I'm curious to know what methods you tried and how successful they were?
SlimSnap
@scott_davidson_jr Honestly mine's the other side of your problem, the posting side, not scraping. I've done genuine community marketing on Reddit and what surprised me is how often authentic activity trips the same defenses as spam. Real participation gets flagged or removed even with zero automation behind it.
On telling planted from real, my best heuristic lines up with what you said: genuine opinions tend to show up buried, an offhand line in an unrelated thread or an old comment nobody upvoted. The marketing is the suspiciously clean, on-topic, top-level post. The more a "review" looks purpose-built to be found, the less I trust it. Does your scoring weight how buried a comment is? That's been my strongest signal as a reader.
@scott_davidson_jr @bickov The “buried comment” signal is super real. The more polished and on-topic a review looks, the less I trust it. Do you factor in thread depth or context in your scoring?
Honestly
@scott_davidson_jr @bickov @jared_salois For sure! We have that as a variable, and actually showcase the reviews as part of the thread if they are a reply. To verify a product, the three primary variables we focus on are pattern matching, context analysis, and AI detection software.
SparrowDesk
this is another way of doing "social listening" - or entirely different?
Honestly
@georgejustin22 Hey Justin, great question I think it is important to differentiate. "Social listening" tools primarily restrict to bringing up mentions about a brand and do basic insights. Honestly, however, finds conversations about not your brand, but your specific product based on its naming convention. Once we discover these posts, we add in an extra layer to verify authenticity, so that you're left with pure signal on what your customers are saying rather than needing to filter through the data yourself like most current existing tools. On top of that, our insights include the basics of what attributes are liked/disliked, but the analysis can be taken a step further - catering to specific business needs and diving deep into specifics about to break into new markets or cater to customers with different demographics, and even creating an entire game plan for your next marketing campaign.
This is the stuff founders are too scared to look at and most need to. Reddit especially will say to your face what no focus group ever would. Does it show you threads as they happen, or is it more of a periodic thing?
Honestly
@suzychase The truth can be difficult sometimes but is very necessary! Because it is so anonymous Reddit is definitely a powerhouse when it comes to raw unfiltered opinions in the right subreddits and post. As for how often Honestly shows you insights, updates to the data can occur on whatever basis you require. So whether you want to see new data every week or every day, Honestly can do it. On what time basis are you usually looking to stay updated with discussions arising from social media data?
@scott_davidson_jr I'd say every morning I'd like to stay updated.
Honestly
@suzychase That's a very standard time for most of our clients. In this case we encourage you to make use of the free trial to test how it works your products/ those of interest!
ProdShort
Finding real customer feedback is getting harder!! Love the focus on helping teams separate real customer conversations from all the « noise »!! Congrats on the launch 🚀
which social platforms are currently the most valuable source of insights??
Honestly
@amraniyasser Thank you so much for the encouraging words! Real customer voices are becoming rare in an ever-changing AI world. The social platforms that are most valuable depend on the industry. For example, D2C baby product companies have goldmines on TikTok and Instagram, where as D2C consumer SaaS primarily have data on X & Reddit. In your experience does this line up with what you've seen? If not, what differences have you noticed?
Interesting product and the verification angle makes a lot of sense given how much AI generated content is flooding everything right now.
Quick question for you. When you say Honestly discover conversations across Reddit, TikTok and the others, are you covering all public posts or working from a selected set of accounts and communities? Asking because for niche products the most valuable feedback often lives in smaller subreddits or accounts that are not particularly large but are very relevant. Would love to know how deep the coverage goes.
Honestly
@andrej_gamser2 I definitely agree Andrej, and the need for verification will only grow as AI becomes more integrated with our work and society. Love the question - any public post is a post that we are able to find & verify, no matter how small of a forum or account it comes from. These niche products are very interesting though because they often have gold that most marketers or even founders have a difficult time digging for. Is this something you experienced previously? If so, what methods or tools did you use?
@scott_davidson_jrYeah definitely experienced this. When you are building something technical the most useful feedback is usually buried in a thread with 12 upvotes that nobody outside that community would ever find. We have mostly used combination of manual search and f5bot for Reddit keyword monitoring and Grok tasks for X but both have their limits and do not scale well. Thanks for the response.
Honestly
@andrej_gamser2 Thank you for the response as well! I know your pain as I used to be in the same boat (hence why we started Honestly). The time, effort, and resources that go into manual search & f5bot unfortunately don't cut it when you're trying to develop a legitimate workflow. Hopefully Honestly can be of help and appreciate your engagement with our launch!
Been doing this manually for months - searching Reddit threads for honest feedback on our tool is a real time sink. The verification layer to weed out AI-generated posts is what makes this interesting, because without it you'd just be surfacing more noise. One thing I'd love to know - how does coverage hold up for niche B2B products that don't have huge Reddit communities? That's usually where the signal breaks down for us.
Honestly
@galdayan It's such a pain and I have been there & done that with manual search for social media posts, which is a big reason why we started Honestly. Incredible question about the more niche products - currently any post that is publicly available is data we can find, so if it exists for smaller B2B SaaS it can be used as insights for that early stage company. However, when there is not sufficient data, many of our clients in these positions end up tracking the products of competitors or products in adjacent spaces to understand where the market gaps are as well as how content formatting actually receives engagement that converts to customers. Is this a strategy your business has used before when data specific to your product wasn't there? If so, how did it turn out?
@scott_davidson_jr Correct. we had internal CI tools that we built, and it was fine - but high maintenance
Honestly
@galdayan The high maintenance part is a big reason as to why we made Honestly. We didn't want to keep watching businesses burn their time over maintaining this sort of tooling just to get insights from online consumer conversations. Really appreciate your engagement in our launch and hope Honestly can be helpful for you!
Build Check
Yeah! Love this. Reddit and TikTok not only are trendy but one of the best way to get honest feedback. Love to see you helping on this! Wish you all the best team!
Honestly
@german_merlo1 Thanks so much Germán! Really means a lot! From all the products you have analyzed in the PH community, what category of product do you think benefits the most from honest feedback from these platforms? Would love your perspective!
Honestly
@german_merlo1 Thank you German!
Do you plan for predictive capabilities? For example, when launching new products.
Honestly
@jgilbertson47 Yes! This is a big part of our insights, but especially for our customized report generation capabilities. We are able to gather data on products that have launched in the past and analyze how they were received.
Honestly
@jgilbertson47 One of our primary use cases is in R&D using trend analysis. Which ingredients should you include in the next formulation, what the name of the product should be, what competitors are winning / missing on!