SnitchFeed

Overview

SnitchFeed is an intent-based social listening platform aimed at go-to-market teams at startups and small to midsize businesses. Rather than searching static contact databases, the tool monitors public conversations across LinkedIn, X, Reddit, Bluesky, and Hacker News and surfaces posts where a buying signal, a competitor complaint, or a brand mention appears. Listeners are described in plain language, and each match is scored by AI for relevance, buying intent, and sentiment before it reaches the team. The vendor positions the product as an antidote to keyword monitoring that generates noise instead of pipeline, and sells it to founders, sales leaders, and marketing teams that want conversations rather than contact lists.

Key Features

• Natural-language ICP listeners. Teams describe an ideal customer in ordinary prose and SnitchFeed converts that description into tracking rules across platforms. Job titles, industries, and profile attributes can all be part of the definition, and the system automatically drops hiring posts, promotions, and other low-value content.
• AI relevance, intent, and sentiment scoring. Every match passes through a scoring layer before delivery. Purchasing intent is evaluated separately from raw keyword frequency, so posts that merely repeat a term without expressing a need get filtered out. Sentiment tagging marks negative mentions quickly enough for a public response.
• Boolean search with automatic exclusions. Keywords combine through AND, OR, and NOT operators, allowing teams to define exact conversation shapes and exclude everything else, including spam, off-topic threads, and recruitment posts.
• Multi-channel alerts and webhook routing. Matches arrive through email, Slack, Discord, or a webhook. Webhook automations, available on the Pro tier, push leads into HubSpot, Salesforce, Notion, Zapier, Make, or a custom internal service.
• Historical backfill at setup. SnitchFeed streams historical data in real time during onboarding, so a first session returns leads that already exist rather than waiting for new posts to trickle in after account creation.
• Noise controls. Domain blocking, author exclusions, engagement thresholds, and muted recurring false positives keep a feed readable as tracking terms scale up.

How It Works

A user states an ideal customer profile in natural language. SnitchFeed scans the connected platforms continuously and applies relevance, intent, and sentiment scoring to every candidate post. Qualified matches are routed to email, Slack, Discord, or a webhook, where a CRM or outreach tool takes over. Listeners can be tuned over time, and alerts can be delivered as instant pings or digest summaries depending on team preference. Enterprise buyers can request custom data pipelines and multiple workspaces.

Who It's For

SnitchFeed targets go-to-market functions at B2B SaaS companies and early-stage startups. Sales leaders use it to reach prospects who publicly ask for a solution; marketing and content teams mine the same feed for positioning angles and competitive intelligence; and support or brand teams watch sentiment to catch negative mentions early. The Starter plan at one seat suits solo founders, while the Pro plan at five seats fits small revenue teams. Pre-launch companies are explicitly addressed in the FAQ, which suggests the tool is positioned for validation research as well as outbound prospecting.