# SnitchFeed — Full Site Content This is the full-detail companion to https://snitchfeed.com/llms.txt. It contains the complete real copy from SnitchFeed's core marketing pages, plus every `/monitor/*` platform page (generated from the same data that powers the live pages, so it can't drift out of sync). For a short index instead, see https://snitchfeed.com/llms.txt. For docs, see https://snitchfeed.com/docs/llms.txt and https://snitchfeed.com/docs/llms-full.txt. ## Homepage (https://snitchfeed.com) **Hero**: "Intelligent GTM for the agentic era." Subhead: "Describe your ideal customer, we'll put you in the right conversations with the right leads. At the right time." Trust bar: no credit card required, first leads within 60 seconds. **How SnitchFeed works** — "Let the leads come to you." No need to search stale databases or fiddle with filters; SnitchFeed listens and tells you who to respond to, in real time. 1. **Describe your ICP**: Describe your ideal lead in plain language; SnitchFeed finds the posts and comments that matter across LinkedIn, X, Reddit, and more. Auto-excludes job postings, promotions, and noise. 2. **We'll scan for intent 24/7**: Posts, comments, and threads across LinkedIn, X, Reddit, Bluesky, Hacker News, and more. Each lead is AI-scored for fit, intent, and sentiment, around the clock. 3. **Get notified about opportunities**: Instant alerts in Slack, Discord, or email so you can jump in before competitors even see it. 4. **Plug into your GTM tech stack**: Push every lead where it needs to go — enrich with Apollo or Clay, enroll in outreach via Instantly, or drop straight into HubSpot, Zendesk, or Linear. **Why monitor** — "We search the internet, not the same databases everybody uses." SnitchFeed surfaces the moments that matter, you close them: - **Pipeline**: Find buyers the moment they raise their hand — someone posting "anyone know a tool that does X?" is further down-funnel than cold outreach. - **Competitive**: See every competitor complaint in real time and jump in before anyone else. - **Product**: Build what customers actually want by listening to real conversations about their needs. - **Brand**: Turn brand crises into PR wins by catching negative mentions within minutes, not days. **Built to find buyers, not vaguely related contacts** — "Keyword monitoring finds noise. SnitchFeed finds intent." Six core capabilities highlighted on the homepage: AI Scoring & Tagging (filters promo/spam, scores buying intent, tags sentiment), Boolean Search (surgical AND/OR/NOT targeting), Real-Time Alerts (Slack, Discord, email, or webhook), Instant Results (streams historical data from day one), Integrations (webhook fires on match; routes to HubSpot, Salesforce, Notion, Zapier, Make), Noise Controls (block domains, exclude authors, engagement thresholds). **Platform coverage** — "Monitor every platform where your buyers talk." Live now: LinkedIn, X (Twitter), Reddit, Bluesky, Hacker News. Coming soon: GitHub, dev.to, YouTube, Newsletters. **Mid-page CTA**: "Start finding buyers who are already looking." First matches in 60 seconds, set up in 5 minutes, no credit card required. ## Features hub (https://snitchfeed.com/features) **Hero**: "Built to find buyers, not just mentions." — "Keyword monitoring finds noise. SnitchFeed finds intent. Every feature is designed to narrow your feed to the conversations worth responding to, and route them to the right person, automatically." Stat strip: 4 platforms monitored in real time, first mention within 60 seconds, under 5 minutes to set up, webhook-ready to connect any tool. Seven features grouped in four stages of one pipeline: - *Listen everywhere*: Boolean Search - *Catch only what matters*: AI Scoring & Tagging, Sentiment Analysis, Noise Controls - *Act on it*: Real-Time Alerts, AI Reply Drafts - *Connect your stack*: Webhooks, MCP Server Pipeline described in six steps: you describe the signal → SnitchFeed scans every platform → AI filters the noise → your team is alerted → a reply is drafted → the lead goes where it belongs. FAQ topics covered on this page: What is SnitchFeed? How is SnitchFeed different from Google Alerts? What platforms does SnitchFeed monitor? How does AI relevance scoring work? How long does it take to set up? What integrations does SnitchFeed support? Can I use SnitchFeed from Claude, Cursor, or ChatGPT? How much does SnitchFeed cost? ## Tutorials hub (https://snitchfeed.com/tutorials) **Hero**: "SnitchFeed tutorials: learn social listening in minutes." Short product videos that show how to monitor public conversations on Reddit, LinkedIn, X, Bluesky, and Hacker News. Cover listeners, Fit Score, and routing high-intent matches to Slack or the rest of the stack. Built for startup and SMB GTM teams. Videos are grouped as Setup, Usage, and Best Practices. Each video is a single dashboard workflow. Written docs remain the source of truth for fields, plan gates, and credit costs. **How to get started**: (1) Watch a Setup tutorial. (2) Open a 7-day trial workspace (no credit card); Brand Context is crawled from the company site. (3) Create one listener per job (leads, competitors, or brand). (4) Act on high Fit Score mentions before adding more listeners. **Who it is for**: founders and GTM leads, sales and CS teams who want Slack alerts with Fit Score, and agencies running one listener per client job. FAQ topics: what the tutorials are, how to set up social listening in SnitchFeed, whether videos are free, how long setup takes, which platforms are covered, tutorials vs docs, one listener per use case, using MCP from Claude/ChatGPT/Cursor. Individual tutorial URLs follow `https://snitchfeed.com/tutorials/{slug}`. ## Feature pages ### AI Relevance Scoring & Tagging (https://snitchfeed.com/features/ai-scoring-tagging) **Hero**: "Skip the noise. Reach the buyers worth responding to." — "Every mention is scored for buying intent before it reaches your feed. You see the people ready to buy, not the job posts, spam, and tutorials that clog keyword alerts." Scores every mention on three dimensions: **Relevance**, **Buying Intent**, **Sentiment**. Filters out job postings, vendor promotions, tangential keyword references, spam/recycled content, and off-language content. FAQ topics: scoring accuracy, adjustable score threshold, what happens to low-scoring mentions (stored, not deleted, just filtered from the main feed), consistency across platforms, how boolean search and AI scoring work together, sarcasm detection, score visibility, real-time vs. batched scoring. ### Boolean Search (https://snitchfeed.com/features/boolean-search) **Hero**: "Keyword alerts find everything. Boolean search finds buyers." — "Most of your keyword feed is job listings, promotional posts, and noise. Boolean search lets you describe exactly the person you're looking for." Three operators: **AND** (narrow — all terms must appear), **OR** (broaden — at least one term), **NOT** (exclude — term must not appear). Example query: `CRM AND (alternatives OR switching OR recommendations) NOT (hiring OR tutorial OR certification)`. Up to 5 OR terms per AND group. Supports quoted exact-match phrases. How it works: start with a primary keyword, AND the context, NOT to remove noise, use quoted phrases for exact matches, validate and save. FAQ topics: AND vs. listing multiple keywords, combining AND and OR, whether NOT works on quoted phrases, term limits per query, cross-platform consistency, case sensitivity, simple vs. boolean mode, testing a query before saving. ### Real-Time Alerts (https://snitchfeed.com/features/real-time-alerts) **Hero**: "The right mention. The right person. The moment it's posted." — "SnitchFeed delivers high-scoring mentions directly to Slack, email, Discord, or your own tools, with the score, intent, and context your team needs to act, no dashboard visit required." Four alert channels: **Slack** (per-listener channel routing, score/intent/summary, one-click link), **Email** (zero setup, unsubscribe per listener), **Discord** (paste a webhook URL, live in 60 seconds), **Webhook** (push to CRM or Zapier). Alert payload includes relevance, intent, sentiment, platform, summary, and recommended action. FAQ topics: alert speed, per-listener Slack channel routing, threshold-gated alerts, sending to multiple channels at once, alert content, Slack connection process, Discord setup (native webhook, no bot needed), pausing alerts. ### AI Reply Drafts (https://snitchfeed.com/features/ai-reply-drafts) **Hero**: "A reply in your voice, ready when you open the mention." — "Finding the conversation is half the job. SnitchFeed drafts the reply too: grounded in your product, written in your voice, and sized for the platform." Five response goals: drive conversion, build relationship, ask for more info, handle feedback, provide support (plus custom goals). Four dials: tone, length, assertiveness, CTA. Voice profiles, one-tap transforms (shorten, expand, rephrase, less salesy, more human, more technical), reply-or-DM choice, and brand context grounding. Platform-aware character limits: Reddit (1,000 chars, community-native tone), LinkedIn (1,250 chars, professional tone), X (300 chars), Bluesky (300 chars, reply or DM). Explicitly states: SnitchFeed does not post replies automatically — a human always posts it. FAQ topics: no auto-posting, how the AI learns the product (brand context pulled from your website), sounding human (voice profiles built from real replies), multiple voice profiles, transform buttons, platform limits and norms, CTA-subtlety dial, "Copy & Open" workflow. ### Sentiment Analysis (https://snitchfeed.com/features/sentiment-analysis) **Hero**: "Sentiment analysis that reads the thread, not the word list." — "Every social media mention is tagged positive, negative, or neutral by AI that understands sarcasm, negation, and context, paired with relevance and buying intent." Sentiment × intent framing: negative sentiment about a competitor is a switching opportunity; negative sentiment about your own brand is a fire worth catching early; positive sentiment about your own brand is a testimonial waiting to happen; neutral sentiment with high buying intent is a buyer asking the room for options. FAQ topics: how sentiment is detected, the three categories (positive/negative/neutral only), sarcasm and negation handling, brand-context framing, Reddit support, tracking competitor sentiment, negative-only alert filtering via webhooks, difference from AI relevance scoring. ### Webhooks (https://snitchfeed.com/features/webhooks) **Hero**: "Every buyer signal, pushed directly to your stack." — "SnitchFeed delivers the full mention: AI score, intent tags, post body, and recommended action, to any endpoint you choose the moment it's found. No polling. No copy-pasting. No manual handoff." Six capabilities: real-time delivery, full AI payload with no follow-up API call needed, automatic retries with backoff (pauses after 3 consecutive failed attempts; a 404/410 response disables the webhook immediately), multiple endpoints per mention, versioned payload (`event.version: "1.0"`), and a test-before-going-live option. Sample payload fields include `event.type`, `event.version`, `ai.relevance`, `ai.sentiment`, `ai.tags`, `ai.summary`, `ai.recommendedAction`, and `post.platform` / `post.url` / `post.author`. Common destinations: HubSpot/Salesforce, Zapier/Make, custom outreach tools, internal Slack or Discord bots, Google Sheets/Notion, n8n or self-hosted automations. **Webhooks are available on the Pro plan and above.** FAQ topics: delivery speed, payload contents, retry/pause behavior, multiple endpoints, testing, payload versioning stability, plan availability (Pro+), delivery logs for debugging, webhooks vs. the REST API. ### MCP Server (https://snitchfeed.com/features/mcp) **Hero**: "A social listening MCP server for AI agents." — "SnitchFeed's native MCP server gives Claude, ChatGPT, Cursor, and Windsurf 45 tools to read mentions, manage listeners, and run analytics across Reddit, X, LinkedIn, and Bluesky. One-time OAuth login, no API keys to manage, included on every plan." Works with Claude (Desktop and claude.ai), Claude Code, Cursor, ChatGPT, Windsurf, OpenAI Codex, Antigravity, and any MCP client. Setup: paste the server URL into your client's connector settings, or run `claude mcp add SnitchFeed --transport http `. Tool categories: mentions, listeners, feeds, analytics, workspace. FAQ topics: no technical skill required, what MCP is, supported assistants, OAuth-based auth (no API keys), confirmation required before destructive actions like deletes, MCP vs. API vs. webhooks, data scope is limited to your own workspace, can set up monitoring from scratch via MCP, included on every plan including Starter, 45 tools total, X (Twitter)-specific MCP tools available (`list_mentions`, `test_twitter_query`, `query_analytics`). ## Use cases (https://snitchfeed.com/use-cases) **Hub hero**: "What teams do with SnitchFeed." — "The same monitoring pipeline, pointed at three different jobs: watching competitors, finding leads, and protecting your own brand." Three use cases: Competitor Monitoring, Lead Generation, Brand Monitoring. ### Brand Monitoring (https://snitchfeed.com/use-cases/brand-monitoring) **Hero**: "Know what people say about you when you're not in the room." — "Brand monitoring on social media means tracking what people publicly say about your brand on Reddit, X, LinkedIn, and Bluesky, whether or not they tag you. SnitchFeed watches those conversations, tags each one positive, negative, or neutral, and alerts your team while there's still time to respond." Explicitly distinguished from "reputation monitoring" (review sites, news): SnitchFeed covers live social conversations only, not G2/Capterra reviews or press coverage. What you can catch: complaints before they spread, unprompted praise, questions about your product, misinformation about your brand, and early warning on a brewing crisis. Page states: "SnitchFeed eliminates an average of 82% of raw keyword noise (internal data, 2026)." FAQ topics: definition of brand monitoring, difference from reputation monitoring, platform coverage and refresh cadence, difference from Google Alerts, no G2/Capterra coverage, PR-crisis early warning, sentiment tracking, alert speed. ### Competitor Monitoring (https://snitchfeed.com/use-cases/competitor-monitoring) **Hero**: "See every complaint about your competitors, the moment it's posted." — "Competitor monitoring on social media means tracking what people publicly say about your competitors on Reddit, X, LinkedIn, and Bluesky, not their pricing page or their ads." Positioned against three other tool categories: SEO suites (e.g. Ahrefs, Semrush), price trackers, and competitive-intel platforms (e.g. Klue, Crayon) — SnitchFeed watches complaints, switching intent, and buying signals on social, and does not track pricing pages or SEO metrics. What you can catch: complaints and frustration, alternative-seeking threads, feature-gap gripes, pricing-change reactions, outage/reliability chatter. Playbook for replying: disclose who you are, answer the actual question first, never dunk on the competitor, skip threads that are still active support cases. FAQ topics: definition, legality/ethics of tracking competitors publicly, platform coverage, comparison to Ahrefs/Semrush, comparison to Klue/Crayon, tracking multiple competitors (limited by plan's listener count — Starter 3, Pro 10), alert speed, sarcasm/sentiment handling. ### Lead Generation (https://snitchfeed.com/use-cases/lead-generation) **Hero**: "The best leads already told the internet what they want." — "Social media lead generation usually means posting content and building an audience that comes to you over months. SnitchFeed does the opposite: it finds people on Reddit, X, LinkedIn, and Bluesky who are already asking for recommendations or naming a problem you solve, right now." Contrasted with content-marketing lead gen (timeline: weeks to months) vs. SnitchFeed's intent-based mode (timeline: minutes to hours). Buying signals it looks for: "Anyone recommend a tool for...", "Alternatives to [Competitor]?", "How do you all handle X?", competitor complaints, and budget-cycle language. Platform notes: Reddit is best for high-intent research threads, LinkedIn for B2B buyer chatter and budget-cycle language, X for real-time complaints, Bluesky for early-adopter and developer communities. FAQ topics: not the same as cold outreach, best platform depends on your buyer, comparison to contact databases like Apollo/ZoomInfo (contact DB vs. inbound intent), lead volume varies (use the trial to test), whether replying actually works, pricing ($59/mo or $47/mo billed yearly for Starter; $119/mo or $95/mo billed yearly for Pro; both include a 7-day free trial), CRM routing via webhooks, no dedicated sales team required. ## Pricing (https://snitchfeed.com/pricing) Full plan and credit breakdown lives at https://snitchfeed.com/pricing.md (Starter, Pro, and Enterprise plans, credit costs per platform, scan intervals). Additional page copy: "One new customer pays for the whole year — at $47/month, a single closed deal from SnitchFeed covers your subscription many times over." No credit card required for the 7-day free trial; cancel anytime. ## General FAQ (asked on the homepage and pricing page) Topics covered: free trial details, which platforms are tracked, how SnitchFeed finds mentions without being tagged, tracking competitors or general keywords, compliance with LinkedIn/Reddit/Twitter platform policies, whether it's useful pre-launch, value for sales leaders, value for marketing leaders, Slack integration, inviting teammates, cancelling a subscription, what social listening is, and how to contact support (hello@snitchfeed.com). ## Platform-specific monitoring pages The sections below are generated directly from the same data that powers the live `/monitor/*` pages, so they always match production content. ### Monitor LinkedIn (https://snitchfeed.com/monitor/linkedin) **LinkedIn Monitoring Tool** LinkedIn keyword alerts for public posts, checked as often as every hour and scored by AI, plus X, Reddit, Bluesky, and Hacker News in the same workspace. 5.0/5 Rating on G2 · Hourly LinkedIn keyword checks · Tagged or not Brand and competitor mentions LinkedIn is where B2B buyers post about switching tools, ask peers for recommendations, and complain about vendors. These conversations happen once, publicly, and then disappear. SnitchFeed catches them while they are active so your team can engage before the window closes. What SnitchFeed tracks on LinkedIn: - **Posts**: Public LinkedIn posts matching your keywords. This is where buyers ask for recommendations, share pain points, and announce budget decisions. - **Accounts**: Posts from specific people or companies you are watching. Useful for tracking target accounts, key decision-makers, or competitor executives. - **Competitors**: Posts that mention your competitors by name, including frustration signals, comparison requests, and renewal doubts. Capabilities: - **Find leads from posts**: Track posts where people ask for tool recommendations or describe a problem you solve. - **Track competitor mentions**: Surface posts where users express frustration, compare tools, or publicly question their current vendor. - **Monitor customer feedback**: Catch unsolicited feedback from customers and prospects before it becomes a trend. - **Track brand mentions**: Know every time your brand name appears in a LinkedIn post, tagged or not. - **Discover content ideas**: See the exact questions and frustrations your audience posts publicly every day. Use cases: - **B2B Demand Capture**: Find decision-makers asking for tool recommendations and engage them before your competitors do. - **Competitor Churn Capture**: Monitor competitor mentions to find unhappy customers at the exact moment they are open to alternatives. - **Buyer Signal Tracking**: Track posts from target accounts for timing signals that tell your team exactly when to reach out. How it works: 1. **Add keywords and author filters**: Enter your brand, competitors, and the phrases buyers use, then narrow each keyword by author job title, company, or industry. Choose how often it runs, as often as every hour. 2. **Get alerted to new posts**: SnitchFeed checks public LinkedIn posts on your schedule, scores every match for relevance, tags its intent, and sends the ones that clear the bar to Slack, Discord, email, or webhooks. 3. **Engage**: Open the post, generate a reply draft in your voice, and post it yourself while the conversation is still active. When to use LinkedIn monitoring: - When you want to find leads without cold outreach - When you want to track competitor mentions and catch churn signals - When you want real customer feedback posted publicly - When you want to respond to conversations before competitors do - When you want to monitor target accounts for buying signals - When you want LinkedIn keyword alerts delivered to Slack automatically **Why not just search LinkedIn manually?** - Posts attract most of their replies in the first few hours. Manual checking means you are always responding late. - LinkedIn search ranks by its own algorithm, not by what your buyers are actually posting. - You cannot monitor dozens of keywords continuously while doing actual work. - Manually checking means you miss the posts that happen between sessions entirely. LinkedIn FAQ: - Q: What is a LinkedIn monitoring tool? A: A LinkedIn monitoring tool watches public LinkedIn posts for the keywords you choose, such as your brand, competitors, or phrases buyers use, and alerts you when a new post matches. SnitchFeed adds AI relevance scoring and intent tags, so you see the posts worth a reply instead of every keyword match. - Q: How often does SnitchFeed check LinkedIn for new posts? A: As often as every hour. You choose the interval per keyword, from every hour to once every 24 hours, so you can run your most time-sensitive keywords hourly and the rest less often. - Q: Does SnitchFeed monitor LinkedIn comments? A: No. SnitchFeed monitors public LinkedIn posts, not the comments under them. When you want everyone who commented on a specific post, use the free LinkedIn Comments Scraper at snitchfeed.com/tools/linkedin-comments-scraper. - Q: Does it catch posts that mention my company without tagging it? A: Yes. SnitchFeed matches the words in a post, so it finds posts that name your brand or a competitor whether or not the author tagged the company page. - Q: Can I only get alerts from certain job titles or companies? A: Yes. Each LinkedIn keyword can be filtered by the author's job title, company, and industry, and limited to posts from people or from company pages. For example, you can alert only when a Head of Sales or a Founder posts about your category. - Q: Can I monitor specific LinkedIn people or companies? A: Yes. Add tracked accounts to follow posts from specific people and companies, such as buyers at target accounts, partners, or competitor executives. Their posts land in the same feed as your keyword alerts. - Q: What can't SnitchFeed see on LinkedIn? A: SnitchFeed only monitors public posts. It does not see comments, posts shared only with connections, direct messages, InMail, private groups, or analytics for your own company page. - Q: Do I need a LinkedIn account or LinkedIn API access? A: No. You don't connect a LinkedIn account, grant permissions, or manage LinkedIn API credentials. SnitchFeed runs the monitoring for you. - Q: How is this different from LinkedIn search or Sales Navigator? A: LinkedIn's post search shows results only when you run it, is personalized to your own account, and has no alerts for new posts, so you rerun every search by hand. Sales Navigator is built for finding and saving leads and accounts. SnitchFeed checks public posts for your keywords on a schedule, scores each match, and sends the relevant ones to your team. - Q: How is this different from Google Alerts? A: Google Alerts only covers pages Google has indexed, and LinkedIn posts can take days to appear in Google's index if they appear at all. SnitchFeed checks LinkedIn posts directly, as often as every hour. - Q: Where do LinkedIn alerts go? A: Slack, Discord, and email are included on every plan. Webhooks and CSV export are on Pro, so you can push mentions into Clay, Zapier, n8n, a CRM, or your own backend. - Q: Is there an API or MCP server for LinkedIn mentions? A: Yes, both are included on every plan. Use the REST API to pull scored LinkedIn mentions into your own tools, or connect Claude, ChatGPT, or Cursor through MCP to search mentions and manage listeners in plain English. - Q: What keywords should I track on LinkedIn? A: Start with your brand, your top competitors, and phrases buyers use when they are in market: 'any recommendations for [category]', 'alternatives to [competitor]', 'looking for a tool that', and 'struggling with [problem]'. Then add author job titles so only the roles you sell to trigger alerts. - Q: How much does LinkedIn monitoring cost? A: Plans start at $59/month for Starter and $119/month for Pro, both covering LinkedIn alongside Reddit, X, Bluesky, and Hacker News. Every plan starts with a free trial, no credit card required. ### Monitor Reddit (https://snitchfeed.com/monitor/reddit) **Reddit Monitoring Tool for High-Intent B2B Leads** Real-time Reddit keyword and subreddit alerts across posts and comments, plus X, LinkedIn, and Bluesky in the same workspace. AI-scored matches reach Slack, Discord, or email within seconds. Plans start at $59/month, no credit card required. 5.0/5 Rating on G2 · Real-time Reddit keyword alerts · Posts + comments Across every subreddit Reddit is where buyers write paragraphs of context before they ever talk to sales. Threads rank in Google, comments hide the real objections, and communities punish spam. SnitchFeed combines Reddit social listening with AI scoring so you monitor Reddit posts and comments for high-intent questions, competitor drama, and product feedback you can actually act on. What SnitchFeed tracks on Reddit: - **Reddit post and comment tracking**: Reddit posts and comment threads matching your keywords across all subreddits. Buying intent often surfaces in comment replies, not just top-level posts. - **Subreddits**: Subreddit monitoring for the specific communities relevant to your category, so you can track subreddits where your target audience is most active instead of watching all of Reddit. - **Competitors**: Mentions of competitor tools across Reddit, including comparison threads, complaints, and migration discussions. Capabilities: - **Find leads from posts**: Engage prospects asking for tool recommendations. - **Track competitor mentions**: Identify unhappy customers of rival tools. - **Monitor customer feedback**: Spot complaints and praise early. - **Track brand mentions**: Show up where your buyers hang out. - **Discover content ideas**: See what topics resonate with your audience. Use cases: - **Product Research & PMF**: Validate ideas and prioritize features by listening to real user pain points in niche subreddits. - **Authentic Engagement**: Find threads where users are asking for solutions and provide helpful, non-spammy answers. - **Long-tail SEO Insights**: Discover the exact phrasing and questions your target audience uses to improve your content. How it works: 1. **Add keywords and boolean queries**: Enter your brand name, competitors, or industry keywords. 2. **Get alerted in real time**: AI scores and tags every matching post and comment, and the relevant ones reach Slack, Discord, email, or webhooks within moments. 3. **Engage**: Open the thread, read the context, and reply with an AI draft written in your voice, or send the mention to your CRM and agents through the API and MCP. When to use Reddit monitoring: - When you want Reddit keyword alerts across subs without living in Reddit search - When you need Reddit mention tracking for your brand, competitors, and category phrases - When you want Reddit social listening for PMF, roadmap, and honest feedback - When you want to monitor Reddit for leads in technical communities where buyers research before demos - When comments matter as much as posts for buying intent - When you want a Reddit brand monitoring tool that filters noise with AI scoring **Why not just search Reddit manually?** - Missed conversations hidden in deep comment threads - Time-consuming manual searching across subreddits - No real-time alerts for quick engagement - Inconsistent and noisy search results Reddit FAQ: - Q: What is a Reddit monitoring tool? A: A Reddit monitoring tool automatically tracks keywords, brand names, competitors, and topics across Reddit posts and comments, then alerts you when a relevant conversation appears. Instead of searching subreddits by hand, you set your keywords once and the tool watches every community for you. SnitchFeed adds AI relevance scoring and intent tags on top, so only the threads worth replying to reach Slack, Discord, or email. - Q: How do I set up Reddit keyword alerts? A: Add the keywords you want to watch, such as your brand, competitors, and phrases like "alternative to [competitor]", then choose all of Reddit or specific subreddits and pick where alerts go: Slack, Discord, email, or webhooks. SnitchFeed scores every matching post and comment with AI, so only relevant conversations trigger an alert. - Q: How fast are Reddit alerts? A: Real time. SnitchFeed watches Reddit continuously and alerts you as soon as a matching post or comment appears, so you can join the thread while the poster is still reading replies. - Q: Does SnitchFeed track Reddit comments as well as posts? A: Yes. SnitchFeed works as a Reddit post and comment tracker: keywords match inside comment threads, not just post titles. That matters because recommendations, complaints, and switching stories often appear several replies deep. - Q: Can I track Reddit mentions of my brand and competitors? A: Yes. Add your brand name, common misspellings, and competitor names as keywords. Pair competitor names with phrases like "switching from" or "alternative to" to surface comparison and churn threads. - Q: Can I monitor specific subreddits? A: Yes. A listener can watch all of Reddit or only the subreddits you choose. Most teams track brand names everywhere and scope broad category keywords to the communities where their buyers post. - Q: How do AI scoring and intent tagging work? A: Every matching post and comment gets a relevance score, intent tags such as buying intent, recommendation request, seeking alternative, competitor complaint, pain point, or feature request, and a sentiment label. You can see what a mention means before you open it, and skip the noise that raw keyword alerts send. - Q: Can I get Reddit alerts in Slack or Discord? A: Yes, on every plan. Connect a Slack or Discord channel once and matched Reddit posts and comments arrive there in real time, alongside email if you want both. - Q: Can I send Reddit mentions to webhooks or export them? A: Yes, on the Pro plan. Webhooks push every scored mention into Clay, Zapier, Make, n8n, or your own backend as it is found, and CSV export lets you load mentions into your CRM or an outbound tool like Instantly. - Q: Is there an API or MCP server for Reddit mentions? A: Yes, both are included on every plan. Use the REST API to pull scored and tagged Reddit mentions into your own tools, or connect Claude, ChatGPT, or Cursor over MCP to query mentions and create or tune listeners in plain English. - Q: Do I need Reddit API access? A: No. SnitchFeed runs the infrastructure. You configure keywords and notification channels inside the product without managing Reddit API keys or waiting on Reddit's approval process. - Q: What keywords should I track on Reddit? A: Start with your brand, competitor names, and buyer phrases such as 'best tool for', 'alternatives to', 'looking for recommendations', and 'struggling with'. Then tune based on which threads produce pipeline. ### Monitor Bluesky (https://snitchfeed.com/monitor/bluesky) **Bluesky Monitoring Tool** SnitchFeed is a Bluesky monitoring tool that alerts you when Bluesky posts or replies mention your brand, competitors, or buying-intent phrases. Matched in real time as they are published, scored by AI, and sent to Slack, email, or your API. 5.0/5 Rating on G2 · Real-time Bluesky keyword alerts · Posts + replies Tagged or not Bluesky is where tech communities, DevTools audiences, and consumer brands are rebuilding the conversations that used to happen on Twitter. Most monitoring tools do not cover it yet. SnitchFeed gives you real-time Bluesky monitoring so you can build brand presence, track mentions, and engage communities that have already moved. What SnitchFeed tracks on Bluesky: - **Posts**: Public Bluesky posts matching your keywords. The Bluesky audience is technical and candid, making brand mentions and community conversations here unusually high-signal. - **Accounts**: Posts from specific Bluesky handles you are watching. Useful for tracking community voices, developers, and journalists who moved off Twitter. - **Competitors**: Mentions of competitor tools and brands on Bluesky, where candid opinions about products are common. Capabilities: - **Build brand presence**: Track where your audience talks about you and join the conversation. - **Track competitor mentions**: See when competitors get praised or criticised in the communities you care about. - **Monitor community sentiment**: Understand how technical and consumer audiences feel about your category. - **Find DevTools leads**: Catch stack decisions and tool evaluations from engineers who ask publicly. - **Discover content ideas**: See the conversations your audience is already having. Use cases: - **Brand Presence on an Emerging Platform**: Build awareness and engagement with communities that have rebuilt on Bluesky after leaving Twitter. - **DevTools Community Engagement**: Reach developers and indie hackers evaluating tools in the communities they have migrated to. - **Consumer Brand Sentiment Monitoring**: Track what communities say about your brand, products, and category on Bluesky. How it works: 1. **Add keywords for your brand, competitors, and category**: Write a keyword query with AND, OR, NOT, and exact phrases. Add your Bluesky handle too, so @mentions of your account are caught alongside plain-text mentions. 2. **Get alerted the moment a post matches**: SnitchFeed matches every new public Bluesky post and reply as it is published, then scores and tags each match and sends the relevant ones to Slack, Discord, or email. 3. **Reply while the conversation is live**: Open the alert, read the post in context, and reply on Bluesky with an AI draft grounded in your product, edited and posted by you. When to use Bluesky monitoring: - When you want to build brand presence in communities that moved from Twitter to Bluesky - When you need Bluesky mention tracking to stay aware of what people say about your brand - When your DevTools audience has shifted toward Bluesky and you want to engage them there - When you want real-time Bluesky alerts for competitor mentions and category conversations - When you are a consumer brand tracking sentiment on an emerging platform - When you want to monitor Bluesky for early signals before the conversation reaches larger networks **Why not just search Bluesky manually?** - Bluesky search is keyword-exact and misses contextual mentions and paraphrasing - Manual checking requires someone to remember and repeat it every day - You cannot monitor multiple keywords and accounts simultaneously without automation - Conversations move fast and disappear without a systematic monitoring layer Bluesky FAQ: - Q: What is a Bluesky monitoring tool? A: A Bluesky monitoring tool watches Bluesky for new posts that match your keywords and alerts you when they appear, so you don't have to rerun searches by hand. SnitchFeed adds AI relevance scoring and intent tags, so a buyer asking for a recommendation stands out from a passing mention. - Q: How does SnitchFeed monitor Bluesky? A: Bluesky publishes every public post to an open, real-time stream on the AT Protocol. SnitchFeed reads that stream continuously, matches each new post against your keyword queries, scores and tags the matches with AI, and sends the ones worth your time to Slack, Discord, email, webhooks, or your API. - Q: Is Bluesky monitoring real-time? A: Yes. SnitchFeed matches Bluesky posts as they are published rather than checking on a schedule, so there is no polling interval to wait for. Each match is then scored and tagged before it is sent to you. - Q: Does SnitchFeed monitor Bluesky replies, or only posts? A: Both. Replies are matched the same way as top-level posts, so you see the brand and competitor mentions that happen deep in a thread. - Q: Does SnitchFeed catch Bluesky mentions when my account isn't tagged? A: Yes. SnitchFeed matches the words in a post, so it catches posts that name your brand or a competitor in plain text. Add your handle as a keyword to catch @mentions as well. - Q: Can I track competitors on Bluesky? A: Yes. Add competitor names as keywords and SnitchFeed alerts you to posts that mention, compare, praise, or complain about them, with AI tags that flag people asking for an alternative. - Q: Can I use boolean search for Bluesky monitoring? A: Yes. Queries support AND, OR, NOT, and exact phrases, so you can combine brand names and buying phrases and exclude unrelated meanings. See boolean search for examples. - Q: Do I need a Bluesky account to use SnitchFeed? A: No. SnitchFeed reads Bluesky's public stream for you. There's nothing to connect and no app password or API key to manage. - Q: Where can I receive Bluesky alerts? A: Slack, Discord, and email on every plan, plus webhooks and CSV export on Pro. The REST API and MCP server are included on every plan, so you can pull Bluesky mentions into your CRM, data pipeline, or AI agents. - Q: Can SnitchFeed reply to Bluesky posts for me? A: SnitchFeed drafts a reply grounded in your product and written in your voice, but it never posts. You review and edit the draft, then post it on Bluesky yourself. - Q: Is there a free way to monitor Bluesky? A: You can save a search in the Bluesky app and check it by hand, or build your own listener on Bluesky's open stream if you have engineering time. What you give up is alerts, relevance scoring, intent tags, and the other platforms your buyers use. SnitchFeed starts with a free trial, no credit card required. - Q: How much does Bluesky monitoring cost? A: Plans start at $59/month for Starter and $119/month for Pro, both covering Bluesky alongside Reddit, X, LinkedIn, and Hacker News. Every plan starts with a free trial, no credit card required. - Q: What else does SnitchFeed monitor besides Bluesky? A: The same workspace monitors Reddit, X (Twitter), LinkedIn, and Hacker News, with the same keyword queries, AI scoring, and alerts across all of them. ### Monitor Hacker News (https://snitchfeed.com/monitor/hackernews) **Hacker News Monitoring Tool** SnitchFeed is a Hacker News monitoring tool that alerts you when HN stories or comments mention your brand, competitors, or buying-intent phrases. Checked as often as every hour, scored by AI, and sent to Slack, email, or your API. 5.0/5 Rating on G2 · Hourly Hacker News keyword checks · Stories + comments Ask HN and Show HN included Hacker News is a small, concentrated audience of founders, engineers, and technical decision-makers, exactly the people who evaluate and recommend dev tools. A single well-timed comment on a relevant thread reaches more qualified buyers than most paid channels. SnitchFeed catches those threads while they are still active so you can be part of the conversation instead of finding it after it has scrolled off the front page. What SnitchFeed tracks on Hacker News: - **Posts**: Submissions matching your keywords, including Show HN and Ask HN threads where your category gets discussed directly. - **Comments**: Comment threads where your brand, competitors, or category come up, often the highest-signal part of an HN thread. - **Competitors**: Mentions of competitor tools by name, including comparisons, praise, and complaints from a technical audience that reads before they buy. Capabilities: - **Catch competitor Show HN launches**: Know the moment a competitor posts a Show HN in your category, and see how the thread reacts. - **Track competitor mentions**: Surface comments where users compare tools, name competitors, or describe switching away from one. - **Monitor brand mentions**: Know every time your brand name comes up in a thread, tagged or not. - **Find technical leads**: Catch requirement and evaluation threads from engineers who describe exactly what they need. - **Track your own launch**: See every comment on your Show HN or Ask HN post as it happens instead of refreshing the thread. Use cases: - **Competitor Launch Tracking**: Know the moment a competitor posts a Show HN or gets discussed in a comparison thread. - **Comparison Thread Response**: Catch threads where your competitor gets named as the default answer before that becomes the consensus. - **Technical Lead Capture**: Find engineers describing an exact requirement your product solves, before they build it themselves. How it works: 1. **Add keywords for your brand, competitors, and category**: Write a keyword query with AND, OR, NOT, and exact phrases, and add Hacker News search syntax like author: or points> when you want to narrow it. 2. **Get alerted to new stories and comments**: SnitchFeed checks Hacker News on your schedule, as often as every hour, then scores and tags every match and sends the relevant ones to Slack, Discord, or email. 3. **Join the thread while it is still active**: Open the alert, read the thread in context, and reply on HN with an AI draft grounded in your product, edited and posted by you. When to use Hacker News monitoring: - When you want to catch Show HN launches from competitors the day they post - When you want to join comparison threads before someone else shapes the answer - When you want to track brand mentions in a technical, high-trust audience - When you want to catch churn signals from competitor users evaluating alternatives - When you want HN keyword alerts delivered to Slack automatically - When you want to monitor launch traction and reaction to your own Show HN post **Why not just check Hacker News manually?** - Threads peak within hours of posting. Checking once a day means you're replying to a conversation that already ended. - HN's search is built for finding old threads, not for catching new ones the moment they mention your category. - You can't watch dozens of keywords and competitor names across posts and comments while doing actual work. - The comment where your competitor gets named is often buried three levels deep, not in the post itself. Hacker News FAQ: - Q: What is a Hacker News monitoring tool? A: A Hacker News monitoring tool watches HN for new stories and comments that match your keywords and alerts you when they appear, so you don't have to rerun searches by hand. SnitchFeed adds AI relevance scoring and intent tags, so a buyer asking for a recommendation stands out from a passing mention. - Q: How does SnitchFeed monitor Hacker News? A: You add keyword queries for your brand, competitors, and category. SnitchFeed searches new Hacker News stories and comments for them on the schedule you set, scores every match for relevance, tags its intent and sentiment, and sends the matches worth your time to Slack, Discord, email, webhooks, or your API. - Q: Does SnitchFeed monitor Hacker News comments, or only stories? A: Both. SnitchFeed matches stories (including Ask HN and Show HN posts) and comments. Comment alerts show the title of the story they were posted under, so you see the context before you open the thread. - Q: How often does SnitchFeed check Hacker News? A: You choose per keyword, from every hour to once a day. Set the keywords where timing matters most, like your brand or a competitor's launch, to hourly and let broader category terms run less often. - Q: How do I get alerts when my company is mentioned on Hacker News? A: Add your company and product names as a keyword, with a NOT clause for any unrelated meanings. SnitchFeed alerts you to every new story or comment that names you, whether or not it links to your site. - Q: Can I track a competitor's Show HN launch? A: Yes. Add the competitor's name as a keyword and SnitchFeed alerts you to their Show HN post and to the comments that mention them, including comparison threads where people weigh them against other tools. - Q: Can I follow the comments on my own Show HN post? A: Yes. Add story: followed by your post's item ID to a query, and SnitchFeed alerts you to new comments under that story so you can answer questions while the thread is active. - Q: Can I use Hacker News search syntax in my keywords? A: Yes. Alongside AND, OR, NOT, and exact phrases, queries accept author: (or by:) to match a specific HN user, story: to stay inside one thread, and points> or comments> to only match items above a threshold. - Q: Do I need a Hacker News account to use SnitchFeed? A: No. SnitchFeed monitors public Hacker News stories and comments for you. There's nothing to connect and no account or API key to manage. - Q: Where can I receive Hacker News alerts? A: Slack, Discord, and email on every plan, plus webhooks and CSV export on Pro. The REST API and MCP server are included on every plan, so you can pull Hacker News mentions into your CRM, data pipeline, or AI agents. - Q: Can SnitchFeed reply to Hacker News threads for me? A: SnitchFeed drafts a reply grounded in your product and written in your voice, but it never posts. You review and edit the draft, then post it on Hacker News yourself, which also keeps you within the community's norms. - Q: Is there a free way to monitor Hacker News? A: You can search HN by date on hn.algolia.com and rerun the search yourself, and some free services email you raw keyword matches. What you give up is relevance scoring, intent tags, team alerts in Slack, and the other platforms your buyers use. SnitchFeed starts with a free trial, no credit card required. - Q: How much does Hacker News monitoring cost? A: Plans start at $59/month for Starter and $119/month for Pro, both covering Hacker News alongside Reddit, X, LinkedIn, and Bluesky. Every plan starts with a free trial, no credit card required. - Q: What else does SnitchFeed monitor besides Hacker News? A: The same workspace monitors Reddit, X (Twitter), LinkedIn, and Bluesky, with the same keyword queries, AI scoring, and alerts across all of them. ### Slack (https://snitchfeed.com/integrations/slack) Connect your Slack workspace in one click, then add a Slack step to any workflow. When a mention hits your feed, the workflow posts it to the channel your team already watches, with the AI score and recommended action attached. Connect method: oauth. Setup time: Under 1 minute. What you can do with SnitchFeed + Slack: - **Every match lands where your team already is**: No dashboard to remember to check. A buy signal, a complaint, or a competitor mention shows up in Slack the moment it is scored, with enough context to act without opening SnitchFeed. - **Different signals, different channels**: Route buy intent to #sales-alerts and competitor mentions to #competitive-intel, each from its own workflow, all from the one connected workspace. - **One click, nothing to maintain**: OAuth handles the whole connection. There is no bot to keep permissioned and no webhook URL to rotate if someone leaves. Setup steps: 1. Open Settings then Integrations in SnitchFeed 2. Click Connect Slack and authorize the workspace 3. Add a Slack step to a workflow and pick the channel it posts to 4. Point the workflow at the feed you want it to run on Slack FAQ: - Q: Does the Slack integration need admin approval? A: It depends on your workspace's app install policy. If members can install apps freely, one click is all it takes. If your workspace restricts installs, an admin approves the OAuth request once, and after that any team member can pick channels per workflow. - Q: Can different workflows post to different channels? A: Yes. The channel is set on the Slack step, so a buy-intent workflow can post to #sales-alerts while a competitor workflow posts to #competitive-intel, all from the same connected workspace. - Q: Can Slack be one step among several? A: Yes. A workflow can notify Slack and keep going, so the same run can post an alert, enrich the author, and enroll them in a sequence. ### Discord (https://snitchfeed.com/integrations/discord) Paste a Discord channel webhook URL into SnitchFeed and any workflow can post to it. No bot to invite, no admin permissions, and no app review. Connect method: webhook. Setup time: About 60 seconds. What you can do with SnitchFeed + Discord: - **No bot to invite, no permissions to grant**: Discord's native webhook feature accepts posts from an external URL. There is no server-wide app to install and no admin approval flow to wait on. - **Consolidate or split, your call**: Point every workflow at one webhook for a single alerts channel, or use a different webhook per workflow to split signals across channels. - **Set up once, works from any device**: The webhook lives in SnitchFeed's settings, not on any one person's machine, so it keeps posting whether or not the person who set it up is online. Setup steps: 1. In Discord, open the target channel's settings 2. Go to Integrations, then Webhooks, then New Webhook, and copy the URL 3. Paste the URL into SnitchFeed Settings then Integrations 4. Add a Discord step to a workflow and point it at the feed you want Discord FAQ: - Q: Do I need to invite a SnitchFeed bot to my Discord server? A: No. Discord's native webhook feature lets any channel accept posts from an external URL without adding a bot account or granting server-wide permissions. - Q: Can I use one Discord webhook across several workflows? A: Yes. Point as many workflows as you like at the same webhook URL if you would rather have one consolidated alerts channel than split by signal type. ### Outflo.io (https://snitchfeed.com/integrations/outflo) Your workflow enrolls the author of a matched LinkedIn signal into an Outflo campaign, so a connection request and follow-up messages go out while their interest is still visible on the post. Connect method: oauth. Setup time: About 2 minutes. What you can do with SnitchFeed + Outflo.io: - **Timing matters more than the perfect list**: Outflo starts the campaign while the person's interest is still visible on their own post. - **Runs on the profile alone**: No enrichment step required. The LinkedIn profile URL from the mention is all Outflo needs. - **A campaign, not a single blast**: The campaign paces itself over the steps you built in Outflo, rather than a one-shot connection request. Setup steps: 1. Open Settings then Integrations then Outflo in SnitchFeed 2. Click Connect Outflo and approve access in Outflo 3. Add an Outflo step to a workflow and pick the campaign 4. Point the workflow at a feed scoped to LinkedIn mentions Outflo.io FAQ: - Q: Does this only work for LinkedIn mentions? A: Outflo campaigns run against LinkedIn person profiles, so this works best on a feed scoped to LinkedIn. Company pages and non-LinkedIn mentions are skipped. ### Webhooks (https://snitchfeed.com/integrations/webhooks) The webhook step is the escape hatch for any destination without a native step. Paste an endpoint URL and your workflow posts the full mention payload there as JSON, in real time. Connect method: webhook. Setup time: A few minutes. What you can do with SnitchFeed + Webhooks: - **The escape hatch for anything**: If a native step or automation platform does not cover your destination, a webhook does, as long as it accepts JSON. - **Full context in every call**: AI scores, category tags, post body, author metadata, and a recommended action all arrive in one payload, no follow-up call needed. - **Enriched data included when present**: Run an enrichment step earlier in the workflow and the resolved email, title, and company ride along in the same payload. Setup steps: 1. Create an endpoint that accepts a POST request, whether your own server or a Zapier, Make, or n8n trigger 2. Copy the endpoint URL 3. Add a webhook step to a workflow and paste the URL 4. Send a test event to confirm the payload shape before going live Webhooks FAQ: - Q: What is in the webhook payload? A: AI scores for relevance and sentiment, AI category tags such as Buy Intent or Competitor Mention, the full post body, author metadata, engagement stats, and a direct link to the original post. The recommended action and reasoning fields are included so the receiving system has enough context to act without calling back. - Q: Does the payload include enriched data? A: It does when an enrichment step runs earlier in the same workflow. The resolved email, title, and company are included alongside the original mention. - Q: Are webhooks available on every plan? A: Webhook steps are a Pro plan feature. Slack, Discord, and email are available on all plans. ### Clay (https://snitchfeed.com/integrations/clay) SnitchFeed sends every mention to a Clay table through a webhook, with the post, the author, and the AI analysis attached. Each mention lands as a new row, and you run enrichment and any further automation inside Clay. Connect method: webhook. Setup time: About 5 minutes. What you can do with SnitchFeed + Clay: - **Every mention becomes a row**: Each matched post arrives in your Clay table automatically, so your list builds itself from real buying signals. - **Rich data, ready to use as columns**: The post, author, platform, and AI analysis come through with every row, so you can enrich and route on them without extra lookups. - **Enrichment stays in Clay**: Run waterfalls, scoring, and follow-up automation with the tools you already use in Clay. SnitchFeed just supplies the signal. Setup steps: 1. In Clay, create a table and add a webhook as the source to get its unique URL 2. Add a webhook step to your SnitchFeed workflow and paste the Clay URL 3. Run a test mention through so the first row lands in your table 4. Add enrichment columns and automations in Clay to run on every new row Clay FAQ: - Q: How does SnitchFeed connect to Clay? A: Through a webhook. SnitchFeed sends each mention to a webhook URL from your Clay table, and Clay adds it as a new row. There is no API key to generate or paste. - Q: Does SnitchFeed run the enrichment? A: No. SnitchFeed delivers the mention data and Clay does the rest. Enrichment, waterfalls, scoring, and any follow-up automation are all built and run inside your Clay table. - Q: What data does Clay receive? A: The post and its link, the author, the platform, and the AI analysis SnitchFeed produced, including the score and recommended action. Each field can be used as a column in Clay. ### n8n (https://snitchfeed.com/integrations/n8n) Point a workflow's webhook step at an n8n Webhook node. This is the right fit when you want to self-host the automation layer or keep data handling on your own infrastructure. Connect method: webhook. Setup time: About 10 minutes. What you can do with SnitchFeed + n8n: - **Keeps automation on your own infrastructure**: Self-host n8n and the mention payload never has to leave infrastructure you control. - **Full node ecosystem to build with**: Every n8n node, from HTTP requests to code nodes, is available once the payload lands in your workflow. - **Same payload whether cloud or self-hosted**: The webhook step does not care where n8n runs, as long as the URL is publicly reachable or tunneled. Setup steps: 1. Add a Webhook node to an n8n workflow set to listen for POST requests 2. Copy the production webhook URL 3. Add a webhook step to your SnitchFeed workflow and paste the URL 4. Run a test mention through, inspect the payload, then build the rest n8n FAQ: - Q: Does this work with a self-hosted n8n instance? A: Yes. As long as the webhook URL is publicly reachable or tunneled, it does not matter whether n8n runs on n8n Cloud or your own infrastructure. ### Make (https://snitchfeed.com/integrations/make) Point a workflow's webhook step at a Make custom webhook and use Make's visual branching to fan one signal out into several downstream actions. Connect method: webhook. Setup time: About 10 minutes. What you can do with SnitchFeed + Make: - **One signal, several branches**: A buy signal can trigger a CRM record and a Slack alert and a spreadsheet row, all from the same scenario. - **Branch on the AI category**: Route Buy Intent one way and Customer Complaint another, all inside the visual scenario, no separate workflow required. - **The same payload as any webhook step**: Nothing Make-specific to learn on the SnitchFeed side. It is the same JSON payload every other webhook destination gets. Setup steps: 1. Create a scenario in Make with a Webhooks custom webhook trigger 2. Copy the generated webhook URL 3. Add a webhook step to your SnitchFeed workflow and paste the URL 4. Run a test mention through to populate the payload, then build the scenario Make FAQ: - Q: Why choose Make over Zapier? A: Both consume the same payload. Make's visual branching editor suits scenarios where one run needs to split into several different actions based on the AI category on the mention. ### Zapier (https://snitchfeed.com/integrations/zapier) Add a webhook step pointed at a Zapier Catch Hook and your workflow can reach any of Zapier's 1,000+ actions. This is the fastest path to a destination SnitchFeed does not have a native step for yet. Connect method: webhook. Setup time: About 10 minutes. What you can do with SnitchFeed + Zapier: - **Reach anything with a Zapier app**: If a native SnitchFeed step does not exist for your destination yet, a Zap almost certainly gets you there. - **Build the logic visually**: Filters, formatters, and multi-step Zaps let you shape the payload before it reaches its final destination. - **Works alongside native steps**: A single workflow can enrich and enroll a lead natively, then also fire a Zapier webhook for anything else that needs to happen. Setup steps: 1. In Zapier, create a Zap with Catch Hook as the trigger 2. Copy the Zapier webhook URL 3. Add a webhook step to your SnitchFeed workflow and paste the URL 4. Run a test mention through, then build the rest of the Zap from the sample payload Zapier FAQ: - Q: Should I use Zapier or a native step? A: Use the native step when SnitchFeed has one, since it needs no maintenance and runs inside the same workflow. Reach for Zapier when your destination has no native step yet, or when the logic you need is easier to express in a Zap. - Q: Can a workflow use Zapier and native steps together? A: Yes. A single workflow can enrich the author natively, enroll them in a sequence, and also fire a Zapier webhook for whatever else you need to happen. ### REST API (https://snitchfeed.com/integrations/api) The v1 public API is for pulling social data outside the feed and workflow flow. Search Twitter/X or LinkedIn on demand from your own code, billed by credit and authenticated with a bearer API key. Connect method: api_key. Setup time: A few minutes. What you can do with SnitchFeed + REST API: - **Query on demand, not just via listeners**: Search Twitter/X or LinkedIn from your own code whenever you need it, without setting up a listener or workflow first. - **Build exactly the pipeline you need**: The API returns raw results, so you decide what happens next in your own systems instead of working within SnitchFeed's workflow model. - **Credit-metered, nothing hidden**: 2 credits per Twitter/X search and 4 per LinkedIn search, with a free usage endpoint to check what remains. Setup steps: 1. Generate an API key in Settings 2. Pass it as an Authorization bearer token on every request 3. Call the Twitter or LinkedIn search endpoints 4. Check the billing usage endpoint to monitor remaining credits REST API FAQ: - Q: What is the v1 REST API for? A: It lets you query Twitter/X and LinkedIn for social data on demand using your API key, outside the normal feed and workflow flow. It is credit-based and intended for developers building custom pipelines. Full endpoint documentation is at docs.snitchfeed.com. - Q: How much does an API call cost? A: 2 credits per successful Twitter/X search and 4 credits per successful LinkedIn search. Checking your usage is free. ### Major (https://snitchfeed.com/integrations/major) Major connects to the SnitchFeed MCP server, so the agents and apps you build there can query listeners, mentions, and analytics the same way any other MCP client does, then decide what to do with a match instead of you writing the rule yourself. Connect method: oauth. Setup time: About 10 minutes. What you can do with SnitchFeed + Major: - **Your mentions become something an agent can reason over**: A feed tells you what was said. An agent connected to that feed can compare it against the rest of your stack, decide what it means, and do the next thing. Major is where that logic lives, and MCP is how it reaches your SnitchFeed workspace. - **SnitchFeed alongside everything else Major connects to**: Major connects to your other business tools in the same place. That means a play can start at a matched mention and finish in a CRM, a support queue, or a Slack channel, without a webhook chain in between for someone to maintain. - **Built by whoever understands the signal**: Major apps are described in natural language, so the person who knows which mentions matter can build the triage rules themselves, rather than writing a spec for someone else to implement. Setup steps: 1. Add SnitchFeed as an MCP connection in Major: https://api.snitchfeed.com/mcp 2. Authorize with your SnitchFeed account over OAuth 3. Describe what the agent should do in plain language, using the SnitchFeed tools for mentions, listeners, feeds, and analytics 4. Schedule it or trigger it from Slack Major FAQ: - Q: How does Major connect to SnitchFeed? A: Major connects to the SnitchFeed MCP server the same way Claude, Cursor, or ChatGPT does. You add the server URL as a connection in Major, authorize once with your SnitchFeed account over OAuth, and every tool the MCP server exposes, reading mentions, managing listeners, running analytics, becomes available to the apps you build. - Q: What can a Major agent actually do with my workspace? A: Anything the SnitchFeed MCP tools support: read and filter mentions, create or tune listeners and keyword queries, test a query before saving it, build feeds, and run analytics. Anything destructive, like deleting a listener, still requires explicit confirmation. - Q: Can an agent react the moment a mention comes in? A: Major apps run on a schedule or on demand from Slack, so the fastest loop today is a frequent schedule rather than a live push. For instant per-mention delivery, pair this with SnitchFeed's native Slack, Discord, or webhook notifications and have Major act on what lands there. - Q: Do I need Major to use SnitchFeed with AI? A: No. SnitchFeed's MCP server works with any MCP client, including Claude, Cursor, and ChatGPT, on its own. Major is useful specifically if you want to build a standing app or agent, described in plain language, that acts across SnitchFeed and your other business tools without you prompting it each time. ### Email (https://snitchfeed.com/integrations/email) The simplest workflow step there is. Add email to a workflow and matching mentions arrive in your inbox as they are detected, with no configuration required. Connect method: built_in. Setup time: Zero setup. What you can do with SnitchFeed + Email: - **Nothing to configure, ever**: Add the step and it works. There is no channel to pick, no key to paste, and no account to authorize beyond the one you already have. - **A fallback that always works**: Even if a Slack workspace or webhook is misconfigured, an email step on the same workflow means the alert still reaches you. - **Off with one toggle**: Turn the step off for a workflow without touching anything else it does, no cleanup required. Setup steps: 1. Create or open a workflow and pick the feed it runs on 2. Add an email step 3. Alerts arrive at your account email as mentions come in 4. Turn the step off any time without affecting other workflows Email FAQ: - Q: Can I send alerts to a different email than my login? A: Email steps deliver to your account email by default. If you need a shared inbox or distribution list, route through Slack or a webhook step instead, or update your account email in Settings. - Q: Will I get one email per mention or a digest? A: Emails are sent per mention as the workflow runs, so you see them in near real time rather than waiting on a batched digest. ### Hermes Agent (https://snitchfeed.com/integrations/hermes-agent) Point a workflow's webhook step at Hermes Agent and let it decide the next move, whether that is drafting a reply, doing further research, or kicking off another process. Connect method: webhook. Setup time: About 10 minutes. What you can do with SnitchFeed + Hermes Agent: - **A decision-maker, not a queue**: Hermes Agent evaluates the mention and picks the next move itself, instead of waiting for someone to triage it. - **Works with enriched context**: Anything an earlier enrichment step resolved, like a verified email or company, arrives in the same payload. - **Configurable per workflow**: Point different feeds at different Hermes Agent triggers so each signal type gets handled by the logic built for it. Setup steps: 1. In Hermes Agent, create a trigger that accepts an inbound webhook 2. Copy the generated webhook URL 3. Add a webhook step to your SnitchFeed workflow and paste the URL 4. Run a test mention through, then configure how the agent acts on it Hermes Agent FAQ: - Q: What does the agent receive? A: The full mention payload including the post body, author, AI category, relevance score, and recommended action, plus anything an earlier enrichment step resolved. ### OpenClaw (https://snitchfeed.com/integrations/openclaw) Point a workflow's webhook step at OpenClaw so your own agent logic can triage, research, or act on the mention. Connect method: webhook. Setup time: About 10 minutes. What you can do with SnitchFeed + OpenClaw: - **Bring your own agent logic**: OpenClaw is the entry point; what happens next is whatever open-source workflow you have built around it. - **Full payload, no gaps**: Post body, author, AI category, score, and recommended action all arrive in one webhook call. - **Runs on infrastructure you control**: OpenClaw being open-source means the agent logic acting on your mentions lives where you decide to run it. Setup steps: 1. In OpenClaw, create a workflow with an inbound webhook trigger 2. Copy the generated webhook URL 3. Add a webhook step to your SnitchFeed workflow and paste the URL 4. Run a test mention through, then build the rest around the payload OpenClaw FAQ: - Q: What does OpenClaw receive? A: The full mention payload: post body, author, AI category, relevance score, recommended action, and anything an earlier enrichment step resolved. ### Grok Bot (https://snitchfeed.com/integrations/grok-bot) Point a SnitchFeed workflow's webhook step at your Grok Bot endpoint. Each matched mention arrives with the post, author, Fit Score, intent, sentiment, and recommended action, ready for Grok to research, qualify, or route onward. Connect method: webhook. Setup time: About 10 minutes. What you can do with SnitchFeed + Grok Bot: - **Turn a scored mention into a next step**: Grok Bot receives the signal after SnitchFeed has filtered and scored it, so it can focus on deciding what happens next. - **Research with the full mention context**: The post, author, AI analysis, and prior enrichment all arrive in the same payload, giving the bot the information it needs to make a useful call. - **Use a different play for each signal type**: Send buy intent, competitor mentions, and product feedback to separate Grok Bot workflows with instructions tailored to each job. Setup steps: 1. Create a Grok Bot workflow that accepts an inbound webhook 2. Copy its webhook endpoint URL 3. Add a webhook step to your SnitchFeed workflow and paste the URL 4. Run a test mention through and define the bot's research, qualification, or follow-up instructions Grok Bot FAQ: - Q: What does Grok Bot receive from SnitchFeed? A: The webhook includes the matched post, author, Fit Score, intent, sentiment, recommended action, and any enrichment from earlier workflow steps. - Q: What can Grok Bot do with a matched mention? A: It can research the author or company, qualify the signal against your criteria, draft a reply, summarize the opportunity, or send the result to the next system in your workflow. - Q: Do I need to change my listener setup? A: No. Keep the listener focused on the conversations you care about, then add the Grok Bot webhook step to the workflow that handles its matching mentions.