SnitchFeed vs Octolens

Both tools find conversations about your product, expose them over an API, and score them with AI. Where they part company is control. Octolens filters with AI alone and says so plainly: no syntax to learn, no manual tuning. SnitchFeed gives you a boolean query language and then scores the results, so you decide what gets matched and the AI decides what matters. If your keywords are generic enough that a wrong relevance call costs you a real conversation, that difference is the whole comparison.

Octolens headlines its annual-billed rate, so both axes are shown. Their mention caps and our credits meter different things and are explained separately below, not compared in this table.

All of this is true. If any of it is a requirement rather than a preference, buy Octolens.

• Far more sources, and it is not close

  GitHub, Stack Overflow, DEV.to, YouTube, TikTok, podcasts, newsletters and 150k news outlets, none of which we cover at any price. If you are a DevRel team who needs GitHub and Stack Overflow, Octolens is simply the right tool and you should buy it. We cover five platforms: Reddit, X, LinkedIn, Bluesky and Hacker News.

• Years of history against our months

  Two years of data on their Pro tier, unlimited on Scale. We keep three months on Starter and six on Pro. If your work depends on historical trend analysis or long lookbacks, we are the wrong choice and this is not a gap we intend to close.

• Unlimited seats on every tier

  Ours is one seat on Starter and five on Pro. Past roughly eight people who all want their own login, their $159 annual tier genuinely costs less than our $119 Pro. That is a real threshold and worth doing the arithmetic on before you choose us.

• A clearer answer at high volume

  15,000 mentions on the entry tier with defined overage at $0.013 is easier to reason about than a credit budget, and it scales predictably if you are tracking a very noisy brand.

The cases where we would tell you to pick us.

• You can say what counts as a match

  Octolens positions AI filtering as a replacement for query syntax: their words are no syntax to learn, no manual tuning. That is genuinely simpler, and it also means when the AI decides a mention is irrelevant you have no lever to pull. SnitchFeed gives you AND, OR, NOT, grouping and exact phrases, plus Hacker News qualifiers like author: and points>, and then scores what matches. Control first, AI second.

• Relevance scoring that teams tell us holds up better

  Teams who have moved from Octolens tell us our intent classification is more reliable and that they see fewer false positives on relevance. Both tools score every mention; the difference shows on generic terms, where a wrong relevance call is the difference between a queue you work and a queue you stop opening.

• Reddit and Bluesky are real-time, and they do not consume credits

  Both run on continuous ingestion rather than per-keyword polling, so mentions surface in seconds and watching them costs nothing against your plan. Track as many Reddit and Bluesky terms as your keyword count allows without watching a meter. Octolens Pro refreshes hourly and reserves real-time for Scale at $599 a month.

• A programmable layer on every plan, not just a mention feed

  Our REST API covers mentions, listeners, feeds and usage, and it also exposes on-demand search across X, LinkedIn and Hacker News, plus LinkedIn post comments and reactions. Scoped API keys, rate limiting and a published OpenAPI spec. The MCP server does the same work from Claude or Cursor, including creating listeners and testing queries before you save them. All of it is on the entry plan.

• And it costs less, though that is not the argument

  $199 a month against $59, or $159 against $47 on annual billing, and our Pro at $119 still sits below their entry tier with 30 keywords against their 10. Worth knowing, but if the coverage or the control were not right we would not expect you to buy on price.