Octolens

the pipe-it-into-tools-you-already-use angle makes a lot of sense over another dashboard nobody opens. curious how the AI filtering handles the gray area mentions though, the ones that are relevant but not obviously so. does it get stricter over time based on what people actually act on, or is the relevance bar fixed from day one

I like your philosophy of the best app is the one you don't have to open - instead of trying to change everyone over to your dashboard.

Wow wow wow! Congrats Octolens 🤩🚀

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?

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.

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?

Best product to track mentions of your business!

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.

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?

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.Charlotte