Find the developer conversations that matter

Reddit, GitHub (issues, discussions, READMEs), Hacker News, Stack Overflow, DEV, Twitter/X, YouTube, TikTok, Bluesky, Product Hunt, Medium, podcasts, newsletters, and news — 15+ platforms through one feed. LinkedIn is covered too, with an honest caveat: it's useful for brand-level visibility, but Reddit, GitHub, HN, and X are where technical conversations actually get discovered.

This is the core problem Octolens was built around. The AI learns your company context and scores every mention for relevance, and include/exclude rules, platform filters, and negative authors clean up whatever recurs. Prisma — a word used by health systems, art apps, and more — tracks 600+ relevant mentions a week this way.

Yes — that's the intended setup. Each signal type or product line gets its own feed with its own filters and destination: bug reports to a product team's Slack channel, reply-worthy threads to DevRel, negative sentiment to support, a weekly summary to leadership. Vercel runs 20+ product-team channels on this model. Unlimited seats on every plan means everyone sees their slice.

Wherever the work happens: Slack channels in real time, email digests on a schedule, webhooks for automations, and the REST API and MCP server for your own tools and agents — including an AI-generated daily shortlist or weekly summary. The app is there for triage and configuration, not a place you're forced to live.

Manual searching finds what you look for, when you remember to look. Octolens watches continuously across 15+ platforms, catches mentions that never tag you, scores each one for relevance and sentiment, and routes it while the thread is still live. Teams that switch typically go from response times measured in hours or days to minutes.

No. Keywords, feeds, and Slack or email routing are all no-code — most teams are running within minutes. The API, webhooks, and MCP server are there when you want mentions inside your own dashboards, ticketing, or agent workflows, but nothing requires them on day one.

No. Automated replies in developer communities read as spam and burn exactly the trust DevRel exists to build. Octolens surfaces the shortlist of conversations worth joining and the context to answer well — the reply is always written by a human on your team.

Community monitoring is tracking what developers say about your product across public channels — subreddits, Hacker News, GitHub, Stack Overflow, X, YouTube, and forums — beyond the Discord or forum you already control. Your owned community is the part you can see; the open web is where most developers form their first impression. Community monitoring closes that gap: it surfaces untagged threads, questions, bug reports, and praise so your team can show up while the conversation is still live.

Community intelligence platforms focus on identity resolution — merging a person's activity across channels into member profiles for community teams. Octolens focuses on the conversations themselves: finding relevant mentions fast, filtering them with AI, and routing them to the right team or workflow. It's also self-serve from $199/month with the API, webhooks, and MCP on every plan, rather than an enterprise sales motion. Many teams describe the difference as 'member CRM' versus 'developer signal.'