Docs - LinkCloud

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These docs are a work in progress and not yet intended for wide scale public release.

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About LinkCloud

LinkCloud is your personalized filter for the internet.

Use it to collect links and resources from around the web and collaborate with others to build a decentralized knowledge network that grows in value over time.

We’re in alpha testing with Sarasota Tech and members of the Replit Community. We’re also looking for other creators and digital communities ready to help us pioneer new ways to curate, distribute, and monetize specialized knowledge at scale.

LinkCloud

Manifesto - Audience Owned

Use Cases

Account Settings

Browser Extension

Feature Cards (adding links to your cloud)

Inviting Contributors

Website Widgets

Widget Overview

Create/edit a widget

Widget configuration

Installing your widget

Custom/Webflow Widget

Collecting Email

Auction based community ads

Widget analytics

Setting expiration cookies

Integrations:

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We’ve taken the best parts of the internet and blended them into a powerful tool designed to help communities build and monetize their online audience

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A few things to think about

LinkCloud is a network-of-networks tool—designed to helps communities stitch owned websites and distributed audiences into a shared social layer where content, links, and group chats can be surfaced and organized effectively.
When we say “context layer for the internet” we mean that the platform sits on top of the internet and enhances the browsing experience. LinkCloud is designed to be a discovery engine, not another walled garden.
When we say “decentralized distribution channels”, we mean shared distribution channels that are owned by the contributors. The goal is to tap into the network effects of real-world communities to help build long term value for contributors as the network grows over time.

Feature comparison	Website	Social Media	LinkTree/Bento/Link-in-bio	Substack/Patreon/OnlyFans/etc	LinkCloud
Easy to set up and manage	❌	✅	✅	✅	✅
Embed multimedia rich content	✅	✅	✅	✅	✅
You own the audience	✅	❌	⚠️	⚠️	✅
Fully custom design	✅	❌	❌	❌	❌
Multiplayer/social by default	❌	✅	❌	❌	✅
Live group chats	❌	✅	❌	❌	✅
Built in newsletters & notifications	❌	❌	❌	✅	✅
Detailed analytics	❌	❌	❌	⚠️	✅
Public content submissions	❌	❌	❌	❌	✅
Collaborative moderation workflows	❌	❌	❌	❌	✅
Private news feed	❌	❌	❌	❌	✅
Reward top contributors	❌	❌	❌	❌	✅
Community ad network	❌	❌	❌	❌	✅

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If you think of large tech platforms as the highways of the internet and websites as cities, then we are building the neighborhoods.

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Real World	Online Surrogate	Description	Context / Comparisons
Nations	Infrastructure / Data Pipes	Set the rules of the game	Protocols and large infrastructure providers (AWS, Cloudflare, Google, Apple, HTTP, TCP/IP. etc)
Highways	Big Tech / Social Media	How things move around	Large established communication channels (Meta, X, TikTok, WhatsApp, Discord, Slack, Redit, etc)
States	Industry / Market Segments	Organizing body with subset rules	Any sizable market with pull and audience/influencers (AI, Technology, Sports, Politics, Business, Finance, Manufacturing, Blockchain , etc)
Cities	Website / Publishing Platforms	Local centralized oversight	Large media companies, journalists, online shops, brand websites (Reddit, Spotify, Amazon, NYT, WSJ, WordPress, Webflow, Shopify, Etsy, etc.)
Neighborhoods	LinkCloud / Niche Communities	High trust, Self organizing	Facebook groups, LinkedIn Groups, Circle, Skool, Forums, Intranets, Chambers of Commerce, Industry Associations, etc.

Fixing the flawed incentives of our modern internet

The value of a human network lies in the trust and relationships built as members of the network interact and exchange information and value over time. This also means that human networks increase in value over time as does the individual users share of that value in the network itself. This is how stable communities are formed and these are good incentives which work to keep human networks balanced and productive.

However, most online/social platforms prioritize fleeting attention while churning through content indiscriminately for the chance of a viral moment. They aggregate and manipulate the attention of the network and often rent or sell that attention to others for a fee. This creates temporary swings in value for users over time (almost like a popularity lottery) but this dynamic leaves creators (and brands) detached from their audience and dependent on the algorithm for distribution.

This means human networks are incentivized to collaborate at scale with increasing value accrued over time while online networks are designed to extract value from the members with decaying value over time.