Socialprofiler is highly praised for its ability to provide clear and accurate insights into individuals based on their social media activity. Users appreciate its effectiveness in identifying shared interests and potential red flags, which boosts confidence in interactions. The app is described as incredibly useful and impactful, with many recommending it for its ease of use and reliability in various situations. Overall, Socialprofiler is valued for its clarity and the confidence it instills in users.
SnoopReport
Hi Product Hunt, I’m Tony 👋
Five years ago we launched @SnoopReport here—while controversial, generally it seemed to be appreciated by the community.
Today we’re back with a new take on this classic problem. Socialprofiler instantly generates detailed interest profiles from public Facebook, Instagram, X, and TikTok profiles.
To generate a report, you just need a person’s first/last name & state, or their username.
Features:
Detailed insights into personal interests, beliefs, and values
Identification of potentially controversial or risky interests
Profile summaries covering politics, work background, locations, financial status, family, and even unusual aspects
So — I can already hear your concerns... I take them seriously!
What we’re offering really isn’t any different than Mark Zuckerberg’s Facebook newsfeed. The information we use is already public — we’re just collecting it and presenting it in an easy-to-use format.
For example, say I meet this guy Ryan Hoover at a hackathon and we want to explore founding something together. Wouldn't it be cool if I could see whether we have shared interests and might vibe?
Still not convinced? Let’s go deeper into this topic:
On behalf of the team, I’m super excited to invite the Product Hunt to try Socialprofiler, and I genuinely would love your feedback!
To give you a taste of what Socialprofiler can do, we’re giving everyone a free report for this week only when you sign up and use promo code PH. Try it on yourself (or someone you're curious about) right here:
https://socialprofiler.com/?promo=PH
Thanks
– Tony and the Socialprofiler Team
FYI: Currently available to U.S. customers only; more markets coming soon. We fully support user opt-outs and provide an easy form for this (subject to jurisdictional regulations).
Definitely a bold one, but no denying the tech is powerful!! I feel like this is going to get a lot of attention...
The transparency around data use and the nod to ethics is appreciated, really feels like you’re tackling a complex space w/ eyes wide open.
Best of luck today!!
SnoopReport
@cranqnow Thanks so much! We spent nearly two years bringing this to life—lots of legal and ethical groundwork went into it as well. Appreciate the support!
Prit
Prejudging someone may sound like something unethical,
But we always need to find out more to make better decisions.
Congratulations :)
Socialprofiler
@pritraveler You’re absolutely right — it’s not about prejudging, but about being informed to make smarter, fairer decisions.
Socialprofiler
Hey Product Hunt — I’m Artem, co-founder and the one behind the data science. 🧠 Drop me a comment if you want to talk about graph-based clustering of public social activity, graph theory, interest modeling etc.
Raycast
@korolevart hey Artem — tell us more about how graph theory applies to Socialprofiler... how different are your techniques from modern advertising platforms?
Socialprofiler
@chrismessina Hey Chris - awesome question. You've hit on the fundamental difference between our approach and traditional adtech.
Where adtech graphs are static and designed to put users in predefined boxes, ours is a living system designed to discover what's happening between the boxes.
We flipped the model. Instead of starting with labels, we find the communities and then interpret them. Here’s how:
A Graph That Infers Latent Interests: We go far beyond direct content. Our graph builds a multi-dimensional map of a user's interests by analyzing their social connections and followings. Crucially, this allows us to propagate interest patterns across the network. Even if a user is passive, we can reconstruct their likely preferences based on the interests of users in their immediate social circle.
Emergent, Multi-Modal Clusters: Our communities emerge organically from a mix of signals (content, inferred interests, behavior, and time), not just by grouping similar keywords. This means they constantly evolve, capturing the true pulse of a conversation as it happens.
LLMs for Interpretation, Not Just Classification: This is our secret sauce. We use LLMs to interpret these dynamic clusters and generate adaptive, narrative labels. If a community's focus drifts or a new sub-topic emerges, our system can spot it, understand it, and even split the cluster to reflect that change.
The end goal isn't conversion; it's discoverability, contextual depth, and cross-platform coherence. It’s about seeing the social web for what it truly is - a living network of interests.
Happy to jam on this further. Thanks again for the killer question!
We recommend Socialprofiler to all our clients looking to improve their social profiles. It's user-friendly, insightful, and delivers real results.
Socialprofiler
@fredrick_james Thanks so much for the kind words! 🙌
We’re thrilled to hear Socialprofiler is helping your clients level up their online presence. That’s exactly what we built it for — making it easy to uncover insights and take action fast. Appreciate the support!
Presenting public data in an easy-to-understand profile can definitely help people make more informed decisions.
How do you handle false positives or incomplete data when generating profiles?
SnoopReport
@evgenii_zaitsev1 Thanks Evgenii! We agree - presenting public data in convenient form clearly can make a big difference. Thank you for your questions.
Re: false positives: they do happen, and we don’t expect to eliminate 100% of them. That’s why:
You can click any specific interest in the report to see which accounts contributed to it and decide if it feels relevant.
There's a "Report an issue" button on each specific interest page, we really appreciate it when users flag anything off.
For example, in Ryan Hoover’s report, “Indie hacking” was incorrectly flagged as controversial interest due to lack of context (understanding it as a computer hacking). We fixed that semi-manually, so anytime you see anything like that - please report it via "Repot an issue" button.
As for incomplete data—it does happen too. We re-scrape previously requested accounts regularly, so checking the report again in a month or so is a good idea, it might get populated with additional data.
You should give one free 50% sample report per account to show the value first.
Socialprofiler
Raycast
@mikestaub check out Ryan Hoover's report!