Replyke
Replyke provides pre-modeled APIs, data models, and SDKs for comments, reactions, feeds, notifications, chat, spaces, and search for user-powered products.
What is Replyke?
Replyke is infrastructure for user-powered products: the backend and ready-to-use feature layer that supports how users interact in your app. It covers discussions and reactions, spaces or communities, feeds and discovery, notifications, chat, and related entities like content and users.
The core purpose is to avoid building and modeling the same interaction systems repeatedly. Replyke provides pre-modeled APIs, data models, and client SDKs so you can wire features like comments, feeds, follows, and notifications without starting from scratch.
Key Features
- Pre-modeled interaction systems for user-powered products: Built-in support for comments/threads, reactions, spaces, feeds, notifications, chat, and follows so you can add common engagement features faster.
- Entity-based content model: Treat posts, articles, products, videos, or listings as “entities” and attach engagement features (comments, reactions, notifications, feeds, chat/follows) directly to them.
- Comment threads and moderation-oriented structure: Hierarchical discussions with nested replies, mentions, moderation support, and deep-linkable comments.
- Reactions and votes with per-type reputation scoring: Eight reaction types on entities and comments, with optimistic updates.
- Spaces & communities with roles and approvals: Hierarchical spaces up to 10 levels deep, including per-space roles, membership approval flows, and moderation queues.
- Notifications and event coverage: 14+ event types (replies, mentions, reactions, follows) with templatable messages, unread counts, and pagination.
- Real-time chat and social graph features: 1:1 and group conversations with message reactions, typing indicators, unread counts, and read receipts, plus follow/unfollow and mutual connection request/accept flows.
- Search for entities and social context (including AI response endpoint): Vector search across entities, comments, users, and spaces, with an AI response endpoint.
- TypeScript-first, open-source SDKs and UI components: SDK packages for TypeScript and multiple runtimes (React, React Native, Expo, Node.js, framework-agnostic JavaScript) and editable UI components based on shadcn/ui principles and Tailwind CSS.
How to Use Replyke
- Define your content as entities: Start from the beginning by mapping your content types (e.g., posts, products, listings) to Replyke entities so engagement features can attach cleanly.
- Or link existing records: If you already have content in your database, connect your existing records using a foreign ID so Replyke can map your data without requiring schema migrations or changes.
- Add client SDK usage: Use the provided client SDKs to call feature APIs from your app. For example, the documentation shows
useCommentswith parameters likeentityForeignIdandlimit. - Use or customize UI components: Optionally scaffold and customize pre-built, editable components (e.g., comment threads, notification controls) using the CLI, with UI built on Tailwind CSS and shadcn/ui principles.
Use Cases
- Learning platform discussion threads: Attach threaded comments (with mentions and nested replies) to learning materials so learners can discuss specific posts or resources.
- Marketplace listing engagement: Model listings as entities and enable entity-level reactions and comments while also generating feeds and notifications tied to those listings.
- Community-driven product updates: Create hierarchical spaces for topics and announcements, manage membership/approval flows and moderation queues, and surface content through feeds.
- Social app with follows and mutual connections: Implement follow/unfollow with counts and lists, plus mutual connection request/accept workflows, then drive activity discovery through followed-only feeds.
- App support and collaboration via chat: Provide 1:1 and group chat with read receipts, typing indicators, unread counts, and optional message reactions.
FAQ
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Does Replyke require rebuilding my data model from scratch? Replyke supports starting fresh by defining content as entities, and it also supports linking existing records via foreign IDs without migrations or schema changes.
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What platforms are supported by the SDKs? The site lists TypeScript-first SDKs and packages for React (web), React Native, Expo (with secure storage), server-side Node.js, and framework-agnostic JavaScript.
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Are the UI components customizable? Yes. Replyke describes UI components as editable source code (not black-box dependencies), built around shadcn/ui principles and Tailwind CSS.
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Can Replyke power hierarchical communities? Yes. Spaces support hierarchical nesting up to 10 levels deep, along with per-space roles, membership approval flows, and moderation queues.
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What does Replyke’s search cover? The documentation describes vector search across entities, comments, users, and spaces, and it includes an AI response endpoint.
Alternatives
- Build interaction systems in-house (custom schema + APIs): Direct alternative when you want full control, but it typically requires significant modeling work for threaded discussions, notifications, feeds, and chat.
- Use a generic social/community backend (feature-focused services): Another option is adopting a third-party service that offers comments, feeds, and notifications. Compared to Replyke, you’d be integrating an external interaction layer rather than using Replyke’s entity model and SDKs.
- Leverage search and engagement components separately: For teams that already have core data models, you can assemble systems from separate tools (search for discovery, messaging for chat, and your own engagement logic) instead of adopting a unified interaction infrastructure.
- Community UI frameworks without full interaction modeling: Some UI toolkits help render threads, feeds, or notifications, but they don’t provide the underlying entity modeling and feature wiring described by Replyke.
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