Prompt Collections And User Feeds With Social Discovery

via “personalized-knowledge-feed-with-semantic-curation”

AI search and web highlighter with cited answers.

Unique: Builds personalized feeds from a user's own captured knowledge (highlights, searches) rather than external content sources, creating a self-reinforcing knowledge discovery loop where engagement with highlights surfaces related content

vs others: Differs from RSS feed readers (which require manual subscription) and social media feeds (which prioritize engagement over relevance); Liner's feed is driven by the user's own semantic interests extracted from their activity

via “feed retrieval and pagination with cursor-based navigation”

MCP for xiaohongshu.com

Unique: Uses cursor-based pagination (opaque tokens) rather than offset-based pagination, reducing the risk of duplicate or skipped results when the feed is updated between requests. Extracts feed data via DOM parsing rather than API calls, making it resilient to Xiaohongshu's lack of a public feed API.

vs others: Cursor-based pagination is more robust than offset-based approaches for dynamic feeds; competitors using offset pagination risk returning duplicate posts if new content is inserted during pagination.

f.k.a. Awesome ChatGPT Prompts. Share, discover, and collect prompts from the community. Free and open source — self-host for your organization with complete privacy.

Unique: Integrates social discovery features (following, collections, feeds) into the prompt library, treating prompts as social objects that can be curated, shared, and discovered through social graphs. This positions prompts.chat as a community platform rather than just a repository.

vs others: More social than static prompt repos because it includes following and feed features; more discoverable than search-only platforms because feeds surface new content algorithmically. Differs from generic social platforms by being specialized for prompt curation and discovery.

via “content curation and feed aggregation”

[Linkedin](https://www.linkedin.com/company/74930600/)

Unique: Combines Twitter's search and timeline APIs with custom ranking algorithms to create topic-specific feeds with engagement-based prioritization and trending topic detection within user's network

vs others: More flexible than Twitter's native lists; enables semantic filtering and engagement-based ranking vs chronological-only feed

via “public conversation discovery feed”

via “social story discovery”

via “content search and discovery within feeds”