Your AI agents read your code, docs, and CRM but can't see Reddit, Hacker News, podcasts, or the news. Octolens is one API for every mention across the internet. AI-filtered JSON via API, webhooks & MCP. Pipe it into Slack, your CRM, your warehouse, or your agents.
Hey Product Hunt 👋 Charlotte here, co-founder of Octolens.
Two years ago we set out to build a great social listening dashboard. The app you'd open with your morning coffee and check again before lunch. Then we looked at our happiest customers and realized almost none of them open Octolens at all.
Vercel pipes mentions into 20+ Slack channels for their product teams. PostHog forwards every mention into a custom Val Town dashboard as events. Tally reads them inside Missive, next to the rest of their inbox. Prisma's DevRel team gets pinged in Slack and replies in under five minutes. Our app's DAUs went down while revenue grew 5x year over year.
So we stopped selling a dashboard and rebuilt Octolens as a data layer. The big shift: API, webhooks, and our MCP v2 are now on every plan. If you pay us anything, you own your data from day one and can pipe it anywhere. No enterprise gate.
One endpoint covers 15+ sources: Reddit, X, LinkedIn, YouTube, Hacker News, GitHub, podcasts, newsletters, news, and more. One auth, one schema, AI-filtered JSON.
Here's why it matters now: your AI agents can already read your code, docs, and CRM, but they're blind to the world outside. They don't know people are arguing about your pricing on Reddit, or that a competitor is getting roasted in this week's podcasts. Connect Octolens via API or MCP and your agents get ears. A few workflows customers run in production today:
Mentions to Linear issues: webhook the post to an agent, it classifies it and files a ticket with the right team.
Catch churn signals early: a negative tweet or a "looking for an alternative" post flagged in real time, with a draft for outreach.
Pipeline from public conversations: surface intent, enrich via our new Attio partnership, drop it in your CRM.
🎁 Show us what you build and get 12 months of free mentions. Ship a workflow on the Octolens API or MCP, post it on X or LinkedIn and tag @octolens, and we'll add 10,000 mentions/month to your account for the next 12 months. We genuinely don't know everything people will build on this yet. That's half the reason we're launching.
Start a free trial and ask us anything in the comments. We'll be here all day.
I tried to explore this but it is throwing an error. I can't use it with my Gmail account. I used various mails of mine but it's still not working.
Amazing product, most of all I love how it filters our non relevant mentions with AI, most competitor tools do it much worse
Cool product, I like that there are multiple ways to get data our (MCP, Slack, API, etc), this makes it really versatile. Congrats on the launch!
The "your agents can't see Reddit/HN/podcasts" framing is sharp — that blind spot is real. Question for the makers: how do you keep signal-to-noise high on broad keyword mentions? In my own outreach the hardest part was always filtering the 90% of matches that mention the keyword but have zero real intent. Congrats on the launch 🚀
Love the MCP support. Have you seen developers build autonomous workflows where an agent not only detects a relevant mention but also drafts a response or creates a GitHub/Linear issue automatically?
the insight that your happiest customers never opened the dashboard is one of those things that sounds obvious in hindsight — rebuilding as a pure data layer is the right call. how does the MCP path handle latency, is it synchronous per-mention or batched?
Congrats on the launch, really cool product! Wondering which functionality is available via MCP?
Congrats on the launch! I came across a similar product recently that was upfront about not collecting data from X and LinkedIn due to platform restrictions - and I thought that transparency was actually a smart trust-building move. Curious how Octolens handles those two sources, and whether you're open about the limitations when they exist?
Very cool! We've tried several similar tools because we specifically need to monitor LinkedIn, but we weren't happy with any of them. When monitoring was based only on keywords rather than semantic understanding, we ended up with thousands of post links, of which only about 0.1% were relevant at best. Does your system analyze posts based on their meaning rather than just keywords? If it processes several thousand posts per day, how much would that cost?
We're ready to become your customer if the pricing is reasonable and the analysis is based on semantic understanding rather than just keywords. We also only need support for a single platform - Linkedin
Congrats Charlotte! The “our DAUs went down while revenue 5x’d” story is the most honest pivot explanation I’ve read on PH in a while. I build internal AI agents for work, so the MCP route is what I’d use. One question: when I add a new keyword, do I get historical mentions backfilled or only new ones from that point? Matters a lot for competitor tracking where the old threads are half the value.
This is cool! How do you get around rate-limits, shaddow bans, and SoMe being generally inaccessible for automation, and geting stricter every day?
Reddit is one of the most useful apps if you want valuable feedback, how close is the data to real time ?
Been using Octolens for a few weeks to track competitor mentions on Reddit and HN. Setup took maybe 3 minutes – just plugged in my website and it suggested keywords. Now I get Slack alerts when someone's complaining about a problem my tool solves. AI filtering actually works, not getting spammed with junk. One thing though – it's great for existing products, but if you're still in pre-launch validation, this isn't really the right tool. Solid for what it does though.
Love how clean the alert feed is, the AI sentiment tags next to each mention save me from opening every post to figure out if it's worth jumping into.
Good call on changing the product to meet the customer where they are without changing the product. Really difficult to change user behavior. Really like this for our team
@Octolens is an amazing product! It used to be very hard to keep track of all the signals coming from all the different socials, octolens does this out of the box!
I see strong value in connecting mentions with Slack and CRM workflows. how do you measure whether a mention deserves immdeiate attention. A simple priority score with clear reasons could help teams respond faster and avoid wasting time.
About Octolens on Product Hunt
“Social listening for the agent era”
Octolens launched on Product Hunt on July 6th, 2026 and earned 298 upvotes and 60 comments, earning #2 Product of the Day. Your AI agents read your code, docs, and CRM but can't see Reddit, Hacker News, podcasts, or the news. Octolens is one API for every mention across the internet. AI-filtered JSON via API, webhooks & MCP. Pipe it into Slack, your CRM, your warehouse, or your agents.
Octolens was featured in Marketing (465.6k followers), Developer Tools (515.2k followers) and Artificial Intelligence (472.8k followers) on Product Hunt. Together, these topics include over 255k products, making this a competitive space to launch in.
Who hunted Octolens?
Octolens was hunted by fmerian. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
Want to see how Octolens stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
fmerian
Hey Product Hunt 👋 Charlotte here, co-founder of Octolens.
Two years ago we set out to build a great social listening dashboard. The app you'd open with your morning coffee and check again before lunch. Then we looked at our happiest customers and realized almost none of them open Octolens at all.
Vercel pipes mentions into 20+ Slack channels for their product teams. PostHog forwards every mention into a custom Val Town dashboard as events. Tally reads them inside Missive, next to the rest of their inbox. Prisma's DevRel team gets pinged in Slack and replies in under five minutes. Our app's DAUs went down while revenue grew 5x year over year.
So we stopped selling a dashboard and rebuilt Octolens as a data layer. The big shift: API, webhooks, and our MCP v2 are now on every plan. If you pay us anything, you own your data from day one and can pipe it anywhere. No enterprise gate.
One endpoint covers 15+ sources: Reddit, X, LinkedIn, YouTube, Hacker News, GitHub, podcasts, newsletters, news, and more. One auth, one schema, AI-filtered JSON.
Here's why it matters now: your AI agents can already read your code, docs, and CRM, but they're blind to the world outside. They don't know people are arguing about your pricing on Reddit, or that a competitor is getting roasted in this week's podcasts. Connect Octolens via API or MCP and your agents get ears. A few workflows customers run in production today:
Mentions to Linear issues: webhook the post to an agent, it classifies it and files a ticket with the right team.
Catch churn signals early: a negative tweet or a "looking for an alternative" post flagged in real time, with a draft for outreach.
Pipeline from public conversations: surface intent, enrich via our new Attio partnership, drop it in your CRM.
Start a free trial and ask us anything in the comments. We'll be here all day.
Charlotte