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Product Hunt Honestly

See what Reddit and TikTok honestly think about your product

423
Traction Score
112
Discussions
Jun 18, 2026
Launch Date
View Origin Link

Product Positioning & Context

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.
Social Media Marketing Data & Analytics

Related Ecosystem & Alternatives

Discover adjacent products, open-source repositories, and developer tools sharing similar technical architecture.

Deep-Dive FAQs

What is Honestly?
Honestly is a digital product or tool described as: See what Reddit and TikTok honestly think about your product
Where did Honestly originate?
Data for Honestly was aggregated directly from the Product Hunt community ecosystem, representing raw developer and early-adopter sentiment.
When was Honestly publicly launched?
The initial public indexing or launch date for Honestly within our tracked developer communities was recorded on June 18, 2026.
How popular is Honestly?
Honestly has achieved measurable traction, logging over 423 traction score and facilitating 112 recorded discussions or engagements.
Which technical categories define Honestly?
Based on metadata extraction, Honestly is categorized under topics such as: Social Media, Marketing, Data & Analytics.
Is Honestly recognized by media or academic researchers?
Yes. It has been covered by media outlets like The Verge. This indicates the concept has reached a level of mainstream or scientific viability beyond just developer forums.
What are some commercial alternatives to Honestly?
Our semantic intelligence engine identifies potential commercial alternatives in the SaaS space, such as Osaurus, which offers overlapping value propositions.
How does the creator describe Honestly?
The original author or development team describes the product as follows: "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 Re..."

Community Voice & Feedback

[Redacted] • Jun 18, 2026
Surveys give you sanitized feedback. Reddit threads give you unfiltered reality. The gap between those two is usually where the real product work is. Congrats on the launch!
[Redacted] • Jun 18, 2026
Very good idea, Reddit is one of the best apps to get honest feedback
But you can replace TikTok with X I think it’s more better
[Redacted] • Jun 18, 2026
Great launch video - congradulations!! Was clear & engaging - not an easy task to pull off!! In the video, you mentioned "no more noisy, outdated social listening tools" - how does Honestly specifically differentiate itself from other social listening tools out there that seem to be doing something similar?
[Redacted] • Jun 18, 2026
the bot/fake review problem on social is so bad right now that "verified authentic" is doing a lot of heavy lifting here. curious how you handle edge cases where someone posts about your product without naming it directly (like describing a feature or a bug). does Honestly still pick those up?
[Redacted] • Jun 18, 2026
Hey @scott_davidson_jr ,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
[Redacted] • Jun 18, 2026
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?
[Redacted] • Jun 18, 2026
The gap between what consumers say in a formal research setting and what they actually think is one of the most underrated problems in brand strategy. Reddit and TikTok are genuinely where unfiltered consumer truth lives - this is an interesting angle on that. Curious how you handle conflicting signals when Reddit and TikTok audiences have very different takes on the same product?
[Redacted] • Jun 18, 2026
This is useful because the raw mentions are usually less important than the repeated language behind them. The real value is spotting the phrases customers keep using before they turn into positioning, product, or campaign decisions.
[Redacted] • Jun 18, 2026
Do you plan for predictive capabilities? For example, when launching new products.
[Redacted] • Jun 18, 2026
This is really interesting — the AI detection angle is what stands out to me. How accurate is the verification layer when it comes to short-form content like TikTok comments where tone is really hard to read even for humans?
[Redacted] • Jun 18, 2026
How do you decide what counts as verified, account signals or matching to actual customers ?
[Redacted] • Jun 18, 2026
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!
[Redacted] • Jun 18, 2026
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.
[Redacted] • Jun 18, 2026
This looks useful, especially now that it's getting harder to separate real customer feedback from AI-generated noise. How do you verify that a conversation is authentic, and what signals do you use to filter out fake engagement? Congrats on the launch!
[Redacted] • Jun 18, 2026
this is another way of doing "social listening" - or entirely different?

Discovery Source

Product Hunt Product Hunt

Aggregated via automated community intelligence tracking.

Tech Stack Dependencies

No direct open-source NPM package mentions detected in the product documentation.

Media Tractions & Mentions

Deep Research & Science

No direct peer-reviewed scientific literature matched with this product's architecture.