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Tutorial: Custom Hacker News summaries in your inbox

Blog post from Inngest

Post Details
Company
Date Published
Author
-
Word Count
2,505
Company Posts That Month
3
Language
English
Hacker News Points
-
Post removed?
No
Summary

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.

Trends Found in this Post
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%
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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.