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Linkeddit VS Medium Posts API

Compare Linkeddit VS Medium Posts API and see what are their differences

Linkeddit

All-in-One AI Demand and Competitor Intelligence Platform

Rating
0 reviews
Alternatives Is it good?
Medium Posts API

Unofficial Medium API that returns the JSON of your posts

Rating
0 reviews
Alternatives Is it good?
LLMboost
While you’re optimizing for Google, millions are switching to ChatGPT, Claude, and Perplexity for recommendations. sponsored
Note: These products don't have any matching categories. If you think this is a mistake, please edit the details of one of the products and suggest appropriate categories.

Which is more popular?

Lead Generation popularity
100% vs 0%
alternatives listed
75 vs 14

Base details

Website, pricing, platforms and company facts side by side.

Linkeddit
Medium Posts API
Website linkeddit.com github.com
Pricing
Official pricing
—
Platforms
Web
—
Company Startup from Canada · 1 - 9 employees · 2025 —
Listed in
Marketing Lead Generation SaaS Social Listening Competitive Intelligence Generative Engine Optimization (GEO) Answer Engine Optimization (AEO) Market Demand +5
API Json Api REST API Social Media Tools +1

About Linkeddit and Medium Posts API

In their own words, as submitted to SaaSHub.

Linkeddit
Medium Posts API

Linkeddit is an AI demand and competitor intelligence platform for SaaS teams, agencies, and founder-led sales. It monitors review sites like G2, Capterra, TrustRadius, and Trustpilot plus the open web, delivering weekly graded competitor briefs covering launches, pricing changes, complaint...

Read more about Linkeddit

No description of Medium Posts API yet.

Features and specs

What each product offers, as listed by its team.

Linkeddit 9 features
Medium Posts API 4 features
  • Compete
    Weekly graded competitor intelligence brief covering launches, pricing changes, partnerships, funding, and hiring
  • Demand Intelligence
    Live feed of buyer intent and competitor complaints across reviews, Reddit, and the open web
  • Answer Radar
    Measures where AI answer engines recommend competitors instead of you and drafts source-backed fixes
  • AI Lead Generation
    On-demand pipelines that surface buying-intent posts, scored by intent and engagement
  • Source Coverage
    Mines G2, Capterra, TrustRadius, Trustpilot, Reddit, and competitor blogs and changelogs
  • Monitors
    Scheduled daily, weekly, or monthly keyword monitoring with AI reply suggestions
  • Content Writer & CMS
    Turn real audience discussions into content ideas with a kanban board and scheduling
  • Keyword Research
    Long-tail keywords scored by specificity, intent, relevance, and conversion potential
  • MCP Connector
    Works inside Claude, Cursor, VS Code, Windsurf, and ChatGPT via OAuth
  • Ease of Use
    The Medium Posts API by david-fernando is designed to be straightforward, providing an easy way to fetch Medium posts without extensive setup or configuration.
  • Open Source
    Being an open-source project, it allows users to contribute, fork, and modify the API to better fit their needs.
  • Comprehensive Documentation
    The API is accompanied by detailed documentation, which helps in understanding its functionalities and integration processes.
  • Community Support
    Due to its presence on GitHub, users can benefit from community support where issues can be reported and collaboratively solved by contributors.

Possible disadvantages

  • Rate Limiting
    The API may be subject to rate limits imposed either by Medium or itself, potentially restricting the number of requests that can be made in a given time period.
  • Maintenance
    The maintenance of the API relies on contributions from the community or the original author, which might not be consistent or timely.
  • Limited Features
    Compared to official APIs, this third-party API might not offer the full range of features available directly through Medium’s platform.
  • Dependency on Medium’s API
    As it fetches data from Medium, any changes or restrictions in Medium’s official API could directly impact the functionality of this API.

Analysis

An editorial look at what each product does well and who it suits.

Linkeddit
Medium Posts API

Overall verdict

  • Linkeddit is a useful tool for surfacing real, unfiltered opinions and recommendations from Reddit discussions, making it a good choice for people who value community-driven insights over polished marketing.

Why this product is good

  • Aggregates authentic user opinions and recommendations sourced from Reddit threads
  • Helps cut through marketing hype by relying on real community discussions
  • Saves time compared to manually searching and reading through numerous Reddit posts
  • Useful for discovering products, tools, and services vetted by actual users

Recommended for

  • Shoppers researching products before making a purchase
  • People who trust community and peer recommendations over ads
  • Users looking for honest reviews and unbiased opinions
  • Researchers or marketers wanting to gauge public sentiment on Reddit

Overall verdict

  • The Medium Posts API on GitHub is a decent lightweight option for developers who want to fetch and display Medium content programmatically, but it's an unofficial, community-maintained solution with limitations rather than a robust enterprise-grade product.

Why this product is good

  • Provides a simple way to retrieve Medium posts in JSON format without needing official API access, which Medium has largely restricted for public use
  • Open source and free to use, allowing developers to inspect, modify, and self-host the code as needed
  • Useful for basic integration tasks like displaying blog feeds on personal websites or portfolios
  • Lightweight and easy to set up compared to scraping Medium pages manually
  • Active community interest means various forks and improvements may exist across repositories

Recommended for

  • Personal blog or portfolio site owners who want to embed their Medium posts feed
  • Hobbyist developers experimenting with simple content aggregation projects
  • Small projects with low traffic where reliability and official support aren't critical
  • Developers comfortable with unofficial APIs that may break if Medium changes its site structure
  • Users who need a quick, no-cost solution and are willing to self-host or maintain the code themselves

Videos

Walkthroughs and reviews on video.

Linkeddit 1 video + Add
Medium Posts API 0 videos + Add

Linkeddit | Demo

No Medium Posts API videos yet. You could help us improve this page by suggesting one.

Category popularity

How often each product is chosen within a category, 0–100% relative to the other.

Score bands 0–20 21–40 41–50 51–60 61–100
Linkeddit
Medium Posts API
100% 100%
Lead Generation
0% 0%
0% 0%
Social Media Tools
100% 100%
100% 100%
Marketing
0% 0%
0% 0%
Json Api
100% 100%

Questions & Answers

As answered by people managing Linkeddit and Medium Posts API.

Which are the primary technologies used for building your product?

Linkeddit's answer

Linkeddit is built as a modern web application with AI at the core. It uses large language models for intent scoring, lead insights, reply drafting, and content generation, a PostgreSQL database, scheduled data pipelines for monitoring reviews, Reddit, and competitor sites, and the Model Context Protocol (MCP) with OAuth 2.1 for integrations with Claude, Cursor, VS Code, Windsurf, and ChatGPT.

What's the story behind your product?

Linkeddit's answer

Linkeddit started as a Reddit lead generation tool after its founder kept seeing the same pattern while growing his other products: the best customers were people publicly complaining about a competitor or asking for alternatives, and no affordable tool surfaced those moments reliably. It launched on Product Hunt and became #1 Product of the Day. From there it expanded beyond Reddit into full demand and competitor intelligence, adding review-site mining, weekly competitor briefs, answer engine optimization, and MCP support, all built around the same original insight: the strongest signal in any market is a buyer ready to switch.

How would you describe the primary audience of your product?

Linkeddit's answer

SaaS teams, agencies, consultants, and founder-led sales teams that want to win customers from competitors. Typically these are B2B companies without a dedicated competitive intelligence team who need to know what competitors are doing, who is unhappy with them, and how to reach those buyers first.

What makes your product unique?

Linkeddit's answer

Linkeddit is the only demand and competitor intelligence platform built around one core signal: buyers who are ready to switch. Instead of just monitoring mentions or sending keyword alerts, it reads competitor complaints and buying-intent posts across G2, Capterra, TrustRadius, Trustpilot, Reddit, and the open web, then turns that into scored leads, a weekly graded competitor brief, and content that wins those buyers. It also includes Answer Radar, which measures where AI answer engines like ChatGPT and Perplexity recommend competitors instead of you, and an MCP connector that puts the entire platform inside Claude, Cursor, and other AI assistants.

Why should a person choose your product over its competitors?

Linkeddit's answer

Enterprise competitive intelligence suites like Crayon, Klue, and Kompyte are built for large teams with large budgets. Linkeddit delivers the same core value, competitor tracking, switching-intent detection, and weekly briefs, as a self-serve product starting at $49/month. Compared to Reddit-only tools like GummySearch or Syften, Linkeddit goes further: it scores leads by buying intent instead of just alerting on keywords, covers review sites and the open web instead of Reddit alone, and includes a content CMS, keyword research, and MCP integration in one platform. You get warm leads with buying intent, not cold contacts.

Who are some of the biggest customers of your product?

Linkeddit's answer

Over 10,000 businesses and solopreneurs use Linkeddit, and customers include B2B SaaS companies, marketing agencies, and independent consultants.

User comments

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