Linkeddit

Linkeddit

Linkeddit scans Reddit around the clock to surface high-intent buyers, exportable lead lists, and reply-ready context for teams selling on discussion forums instead of cold email. Describe your product once, and it matches users actively asking for solutions like yours across targeted subreddits with buying-intent scores, engagement metrics, and direct post links.

Keyword-alert tools dump every mention of your category. Linkeddit pairs lead-gen pipelines with an AI content writer that turns top Reddit conversations into posts, plus a Compete tier that tracks up to 12 rivals weekly across G2, Capterra, TrustRadius, Trustpilot, and Reddit for pricing moves, complaints, and switch-ready buyers through Answer Radar.

Founders, B2B SaaS sellers, recruiters, and marketers use it to replace manual subreddit scrolling, schedule Reddit CMS campaigns, and push qualified CSVs into outreach. Plans start at $49 per month for Pro, with MCP access for Claude and Cursor, a Chrome extension for DMs, and a $450 lifetime Pro option.

Top Features:
  1. Unlimited AI lead-gen pipelines with buying-intent scoring and instant CSV exports

  2. Pro plan at $49 per month includes 5 Reddit monitors with AI reply suggestions

  3. Compete tier at $99 per month tracks up to 12 competitors with weekly graded briefs

  4. AI Content Writer turns top Reddit posts into articles, campaigns, and social copy

  5. Reddit CMS with kanban and calendar for scheduling and publishing workflows

  6. MCP integration for Claude, Cursor, and other assistants plus a Chrome DM extension

Pros:
  1. Focuses on buying intent and conversation context rather than raw keyword alerts

  2. Compete tier adds structured competitor briefs from review sites and Reddit in one place

  3. Lifetime Pro option at $450 avoids recurring fees for solo founders

  4. MCP and Chrome extension fit into existing sales and agent workflows

  5. Unlimited lead pipelines and keyword research on the $49 Pro plan

Cons:
  1. Pro plan caps Reddit monitors at five unless you upgrade to Enterprise

  2. Compete intelligence requires the $99 monthly tier above base lead gen

  3. Reddit-first scope means it is not a general social listening suite

  4. Enterprise pricing is opaque and requires a sales conversation

FAQs:

What is Linkeddit?

Linkeddit finds Reddit users showing buying intent for products like yours and packages their posts with engagement metrics and outreach context. Linkeddit also includes an AI content writer, Reddit CMS, monitors, and competitor intelligence on higher tiers.

How much does Linkeddit cost?

Linkeddit Pro costs $49 per month, Compete costs $99 per month, and Pro Lifetime is $450 as a one-time payment. Linkeddit Enterprise is custom and adds unlimited monitors, pipelines, and dedicated support with an SLA.

What does Linkeddit Compete include?

Linkeddit Compete includes everything in Pro plus weekly competitor briefs for up to 12 rivals. Linkeddit Compete tracks launches, pricing changes, funding news, and pain points from Reddit and review sites through Answer Radar.

Can Linkeddit help with Reddit content?

Yes. Linkeddit includes an AI Content Writer and a Reddit CMS with kanban and calendar views for scheduling posts. Linkeddit turns conversations people already care about into drafts you can publish from the same dashboard.

Does Linkeddit work with AI assistants?

Yes. Linkeddit exposes an MCP integration for Claude, Cursor, and other assistants so you can pull lead and research data into your existing workflow. Linkeddit also ships a Chrome extension for Reddit direct messages on Pro and above.

Who should use Linkeddit?

Linkeddit fits founders, B2B SaaS teams, recruiters, and marketers who want warm Reddit leads instead of cold outreach. Linkeddit lists more than 2,500 users and was a Product Hunt Product of the Day for its demand-intelligence approach.

Category:

Pricing:

Freemium

Tags:

Reddit Marketing
Lead Generation
Buying Intent
Competitor Intelligence
AI Content Writer
MCP Integration
Social Selling
Social Listening

Tech used:

Next.js
Google Cloud
Google Analytics
Google Tag Manager
Plausible
Google Fonts
Font Awesome
Ruby
Notion
Airtable
Webpack
Tailwind CSS

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