Octolens monitors the web for keyword mentions, assesses posts with AI, & notifies you so you can jump into a conversation. Designed for B2B SaaS Founders & Growth teams to find social posts related to their solved pain point, product features, or competitors.
This is the 3rd launch from Octolens. View more
Octolens
Launching today
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.
Free Options
Launch Team / Built With
Octolens
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
@octolens @charlotteschmitt With 15+ sources feeding into one endpoint, how much does the AI filtering actually trim down before it hits the agent? Curious whether context gets bloated fast if the agent is pulling raw mentions from Reddit, HN, and podcasts all at once. Does the API give you something like a relevance score per mention so you can set a threshold on what actually gets forwarded?
Octolens
Yes we do add relevance and filter out the majority of posts - there is so much noise in keyword based monitoring. We gather context on your business during onboarding and then add context to each keyword you add as well, that helps us score each post for relevance and filter out the ones you shouldn't be wasting your time on.
The "pipe it into your agents" framing is the part I'd want to slow down on before going all in. Once a mention gets picked up and scored as relevant, is there always a human-in-the-loop step before anything public happens (a reply, a DM, an outreach), or can teams wire it up so the agent responds directly? Getting flagged into a channel fast is great, an AI agent replying to a Reddit thread or angry customer post with the wrong tone is the kind of thing that turns into its own PR problem. Curious how you think about that boundary.
Octolens
@galdayan For sure! There is no auto posting or commenting on our end so you have full control over what you build. I 100% agree that you should have a human in the loop and have your original content - that's the only way social platforms and your own social strategy will be successful.
Octolens
@worksforme Thanks! We gather context on your business during onboarding and then add context to each keyword you add as well, that helps us score each post for relevance and filter out the ones you shouldn't be wasting your time on.
Congrats on launching a really great product! Wondering re sources - Reddit and X mentions can hit Slack in minutes, but podcasts presumably sit behind transcription? What's the realistic lag on a podcast mention, is it like hours or days?
Octolens
@artstavenka1 The lag in podcasts is only about 5 minutes! We have a great Podcast partner in @arvidkahl and Podscan.
Love the new data layer focus, congrats on the launch @Octolens qq. is the github source tracking just scanning public repo issues/prs or does it scan code comments too?
Octolens
@vikramp7470 Thanks!! We track mentions of keywords in GitHub issues :)
@charlotteschmitt Nice, thanks.
Setup was surprisingly quick and the AI scoring actually seemed to flag the relevant Reddit threads instead of just dumping everything. Wish the Slack alerts were a bit more customizable but overall it nailed finding competitor mentions.
Octolens
@kardelengk2rpc Thanks for the feedback! Noted on Slack customization - as a workaround right now you can use @Val Town from @stevekrouse to customize easily.
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.
Octolens
@jason_scott8 Thanks! We do have a releance filter as well as tags which help triage. We also have a quick summary of why we think the post is important to you / your business.
With our MCP you can also add your own layer of what you think is important + your goals. I think we can definitely also expand and create some more skills with value add next actions steps and suggestions.