Tutorial: Custom Hacker News summaries in your inbox
Blog post from Inngest
The tutorial demonstrates how to create a custom Hacker News summary app using AI agents, workflows, and Inngest. The app is designed to periodically search for relevant stories based on user-defined topics and questions, generate embeddings of the content, and send an email summary. The app's architecture consists of three main components: a PostgreSQL database with pgvector extension, an indexer cron job that fetches new Hacker News stories, and a full-stack Next.js web app that hosts the UI and backend logic. Inngest orchestrates the workflow, which includes two AI agents: a Search Agent that uses tools to extract relevant information from the vector database, and a Summarizer Agent that summarizes the search results. The app can be deployed on Render and extended with additional features.
| Trend | Post Mentions | Total Month Mentions | Posts | Companies | MoM |
|---|---|---|---|---|---|
| Vector Search | 30 | 2,433 | 274 | 99 | -40% |
| AI Agents | 9 | 865 | 204 | 92 | -19% |
| LLM | 1 | 3,709 | 434 | 145 | +39% |
Use this post, company, and trend context to find content marketing opportunities, perform competitive analysis, or address product feature gaps via the Plushcap MCP server or the Plushcap API.