Overview
SnitchFeed is an intent-based social listening platform built for go-to-market teams at startups and small to mid-sized businesses. Rather than forcing users to sift through noisy keyword feeds, the product monitors conversations across LinkedIn, X, Reddit, Bluesky, and Hacker News, then applies AI scoring to surface posts that carry genuine buying signals. Its stated audience is founders, sales leaders, and marketers who want warm conversations without spending hours on manual prospecting. Pricing starts at $47 per month on an annual Starter plan, with a seven-day free trial that requires no credit card.
Key Features
-
AI Scoring and Tagging: Every matched mention is evaluated for relevance, intent, and sentiment before it reaches the user's feed. Promotional posts and spam are filtered out automatically, and keyword hits that do not represent real buying signals are dropped. Sentiment tags are attached to each mention, which helps teams spot complaints and brand risks as well as positive conversations.
-
Natural Language ICP Definition: Instead of building complex filter sets, users describe their ideal customer in plain language, including job titles, industries, and profile characteristics. SnitchFeed then translates that description into listening criteria and automatically excludes job postings, promotions, and off-topic threads.
-
Boolean Search Targeting: For teams that prefer precision, the platform supports AND, OR, and NOT operators to define exactly which conversations qualify and which should be excluded. This gives marketing and sales teams surgical control over the topics that trigger a match.
-
Real-Time Alerts and Routing: Matches can be delivered through Slack, Discord, email, or webhooks, with the option of instant pings or digest summaries. On the Pro tier, webhook automations push leads into HubSpot, Salesforce, Notion, Zapier, Make, or any internal tool that accepts a webhook.
-
Instant Historical Results: SnitchFeed streams historical data in real time, so a new account can surface leads from past conversations rather than waiting for new posts to appear. The home page claims first matches within sixty seconds of signup.
-
Multi-Platform Coverage: Five networks are listed as live, namely LinkedIn, X, Reddit, Bluesky, and Hacker News. GitHub, dev.to, YouTube, and newsletters are marked as coming soon, indicating the coverage map is still expanding.
-
Noise Controls: Users can block domains, exclude specific authors, filter by engagement thresholds, and mute recurring false positives, essentially creating a custom signal-to-noise ratio per listener.
-
API and MCP Access: Both paid tiers include API access and MCP support, a notable inclusion given the platform's framing around the so-called agentic era of AI-driven workflows.
Use Cases
-
Pipeline Generation: Founders and sales teams can catch posts where someone asks for a tool that solves a specific problem, then reply before competitors notice the thread.
-
Competitive Displacement: The platform tracks complaints about rival products in real time, allowing teams to engage frustrated users while the conversation is still active.
-
Product Discovery: Product managers can listen for feature requests and pain points expressed in public discussions, reducing reliance on guesswork when prioritizing a roadmap.
-
Brand Monitoring: Negative mentions can be caught within minutes, giving communications teams a window to respond publicly and defuse escalating sentiment.
Differentiators
SnitchFeed draws a clear line between keyword monitoring and intent detection, arguing that most listening tools surface noise while its AI layer ranks conversations by purchase likelihood. The combination of historical backfill, an MCP endpoint, and bundled API access at both paid tiers separates it from simpler alerting tools. The trade-off is breadth: only five platforms are live today, and the cheapest plan omits webhooks and CSV exports, so heavier automation requires the $95 per month Pro tier.
