shareGPT - permenent links to your conversations
RepositoryFree### Applications
Capabilities12 decomposed
one-click chatgpt conversation extraction and serialization
Medium confidenceThe Chrome extension injects a share button into the ChatGPT DOM, then uses content script injection to traverse the conversation tree structure and extract all message pairs (user prompts and assistant responses) with metadata (timestamps, model info). It serializes this data into a JSON payload that preserves conversation structure and formatting for transmission to the backend API.
Uses content script injection directly into ChatGPT's DOM rather than relying on OpenAI's official API, enabling extraction without API credentials and capturing the exact rendered conversation state including formatting and UI elements
Faster and simpler than building a ChatGPT API client because it works with the existing web interface without authentication overhead, but more fragile than API-based approaches due to DOM dependency
persistent shareable conversation urls with unique identifiers
Medium confidenceThe web application generates a unique slug or ID for each submitted conversation and stores it in PlanetScale MySQL database, then serves the conversation via a permanent URL (sharegpt.com/share/{id}). The URL structure enables direct linking, bookmarking, and social sharing without requiring user authentication or session management.
Generates immutable, publicly-accessible URLs for conversations without requiring user accounts or authentication, using a simple slug-based routing pattern in Next.js that maps directly to database records
Simpler than Slack's shared message links because it doesn't require workspace membership, but lacks access controls and audit trails that enterprise tools provide
conversation data model with relational schema
Medium confidenceThe application defines a relational data model with tables for conversations (storing extracted ChatGPT data), users (storing authentication info), comments (storing user feedback), and favorites (storing user-conversation relationships). The schema uses foreign keys to maintain referential integrity and enable efficient queries across related entities.
Designs a normalized relational schema that separates conversations, users, comments, and favorites into distinct tables with foreign key relationships, enabling efficient queries and maintaining data integrity
More queryable than document-based storage because SQL enables complex joins and aggregations, but requires more upfront schema design than schemaless databases
api endpoint routing and request handling
Medium confidenceThe application uses Next.js API routes (files in /api directory) to handle HTTP requests for conversation submission, retrieval, commenting, and favoriting. Each route is a serverless function that receives a request object, queries the database, and returns a JSON response. The routing is file-based — /api/conversations/[id].js maps to GET /api/conversations/{id}.
Leverages Next.js file-based API routing to create REST endpoints as serverless functions, eliminating the need for a separate backend framework while keeping API logic colocated with frontend code
Simpler than Express.js because routing is automatic, but less flexible because it's tied to Next.js and Vercel deployment
public conversation discovery and exploration interface
Medium confidenceThe web application provides a sharegpt.com/explore page that queries the PlanetScale database for recently shared conversations and renders them in a browsable feed or grid. The interface uses Next.js server-side rendering to fetch conversations and Tailwind CSS for responsive UI, enabling users to discover shared examples without authentication.
Provides unauthenticated public discovery of conversations through a simple feed interface, leveraging Next.js SSR to render conversation previews server-side rather than client-side, reducing initial page load time
More discoverable than direct URL sharing because conversations are indexed in a central feed, but less powerful than search engines because it lacks full-text indexing and semantic search
authenticated user conversation favorites and bookmarking
Medium confidenceThe web application uses NextAuth.js for user authentication and stores user-specific favorite/bookmark relationships in the PlanetScale database. When authenticated, users can mark conversations as favorites, which are persisted to their user profile and accessible via a dedicated /favorites page. The system maintains a many-to-many relationship between users and conversations.
Integrates NextAuth.js for session management and stores favorites in a relational database, enabling persistent user-specific collections without building custom auth infrastructure
More persistent than browser bookmarks because favorites sync across devices, but less flexible than local file storage because it requires account creation and internet connectivity
conversation commenting and social interaction
Medium confidenceThe web application provides a commenting system on shared conversations where authenticated users can post replies, questions, or feedback. Comments are stored in the PlanetScale database with references to both the conversation and the commenting user, enabling threaded discussion around shared examples.
Adds lightweight social features to conversation sharing by storing comments in the same database as conversations, enabling discussion without requiring a separate comment platform or third-party service
Simpler than integrating Disqus or similar because comments stay within the platform, but less feature-rich because it lacks moderation, threading, and notifications
chrome extension api integration with chatgpt interface
Medium confidenceThe extension uses the Chrome Extension API (manifest.json v3) to inject content scripts into chatgpt.com, register message passing between the extension popup and content script, and handle permissions for DOM access. It leverages chrome.runtime.sendMessage for async communication between the extension background and content script, enabling the share button to trigger conversation extraction.
Uses Chrome Extension Manifest v3 with content script injection and message passing to integrate with ChatGPT without modifying the ChatGPT codebase, relying on DOM traversal rather than React state access
More maintainable than Manifest v2 because it follows current Chrome security standards, but more complex than direct API integration because it requires async message passing and DOM parsing
next.js full-stack application with server-side rendering
Medium confidenceThe web application is built as a Next.js monorepo (using Turbo for build orchestration) with TypeScript, combining server-side rendering for conversation pages, API routes for backend endpoints, and client-side React components for interactivity. It uses Vercel for hosting and deployment, enabling automatic builds on git push and serverless function execution for API routes.
Combines Next.js SSR with Vercel serverless deployment and Turbo monorepo orchestration, enabling rapid full-stack development without managing separate backend infrastructure or build pipelines
Faster to develop than traditional Node.js/React split because routes and components coexist, but less flexible than microservices because all functionality runs in the same process
planetscale mysql database with upstash redis caching layer
Medium confidenceThe application uses PlanetScale (MySQL-compatible serverless database) as the primary data store for conversations, users, comments, and favorites, with Upstash Redis providing a caching layer for frequently accessed conversations and rate limiting. The architecture separates hot data (cached in Redis) from cold data (stored in MySQL), reducing database query load and improving response times.
Combines PlanetScale's MySQL-compatible serverless database with Upstash Redis for a two-tier caching strategy, avoiding the need to manage database infrastructure while maintaining relational data integrity
More scalable than single-database approaches because caching reduces load, but more complex than NoSQL because it requires managing both MySQL and Redis consistency
nextauth.js authentication with oauth provider integration
Medium confidenceThe application uses NextAuth.js to handle user authentication, supporting OAuth providers (GitHub, Google, etc.) for passwordless login. NextAuth.js manages session tokens, user creation, and session persistence in the database, providing a secure authentication layer without building custom auth logic.
Provides zero-config OAuth authentication for Next.js applications by abstracting provider-specific flows, session management, and database persistence into a single library
Faster to implement than Auth0 because it's built for Next.js, but less feature-rich than enterprise auth platforms because it lacks advanced features like MFA and SAML
tailwind css responsive ui component styling
Medium confidenceThe application uses Tailwind CSS utility classes to style React components with a mobile-first responsive design approach. Tailwind's JIT compiler generates only the CSS classes used in the codebase, reducing bundle size. The styling enables responsive layouts that adapt to different screen sizes without custom media queries.
Uses utility-first CSS approach with Tailwind's JIT compiler to generate only used classes, reducing CSS bundle size and enabling rapid prototyping without context-switching to separate CSS files
Faster to prototype with than CSS-in-JS because utilities are predefined, but less flexible than custom CSS because it requires working within Tailwind's design system
Capabilities are decomposed by AI analysis. Each maps to specific user intents and improves with match feedback.
Related Artifactssharing capabilities
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5ire
5ire is a cross-platform desktop AI assistant, MCP client. It compatible with major service providers, supports local knowledge base and tools via model context protocol servers .
Best For
- ✓ChatGPT users who want frictionless conversation sharing
- ✓teams building on top of ChatGPT conversation data
- ✓developers integrating conversation export into workflows
- ✓content creators sharing ChatGPT examples
- ✓teams documenting AI-assisted workflows
- ✓researchers collecting conversation datasets
- ✓applications with relational data requiring ACID guarantees
- ✓teams using SQL for complex queries and reporting
Known Limitations
- ⚠Chrome-only — no Firefox, Safari, or Edge support
- ⚠Depends on ChatGPT DOM structure — breaks when OpenAI changes UI layout
- ⚠Cannot extract conversations older than current session if ChatGPT lazy-loads history
- ⚠No support for image attachments or file uploads in conversations
- ⚠No built-in access control — all shared conversations are public by default
- ⚠URL structure is predictable (sequential IDs) — potential for enumeration attacks
Requirements
Input / Output
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