Learn anything from HN - get top resource recommendations from Hacker News

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Important notice

This workflow is provided as-is. Please review and test before using in production.

1. Workflow Overview

Learning something new? Endlessly searching to find the best resources? This workflow finds top community recommended learning resources on any topic from Hacker News, delivered to your inbox. How ...

Best for

Personal Productivity automation workflows
AI Summarization automation workflows
intermediate n8n builders looking for reusable templates

Tools used

@n8n/n8n-nodes-langchain.lmchatgooglegemini, @n8n/n8n-nodes-langchain.chainllm, n8n-nodes-base.hackernews, n8n-nodes-base.httprequest, n8n-nodes-base.aggregate, n8n-nodes-base.splitout, n8n-nodes-base.formtrigger, n8n-nodes-base.emailsend

Source and attribution

This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by ibrhdotme.

Original n8n.io source

1.1 Workflow description

Title: Learn anything from HN - get top resource recommendations from Hacker News
Workflow name: Learn anything from HN - get top resource recommendations from Hacker News

Learning something new? Endlessly searching to find the best resources? This workflow finds top community-recommended learning resources on any topic from Hacker News, delivered to your inbox.

How it works

User submits a topic they want to learn via a simple form.
The workflow searches for relevant "Ask HN" posts on Hacker News and extracts top-level comments.
An LLM analyzes the comments and identifies the best learning resources.
A personalized email is sent to the user with a Markdown formatted list of top recommendations, categorized by resource type (e.g., book, course, article) and difficulty level.

Set up steps

Add your Google Gemini API credentials. You'll need to create a project and enable the Generative Language API.
Add your SMTP credentials for sending emails.
Customize the Form and email subject (optional)
Activate the workflow

Screenshots for Workflow, Form and Email

Built on Day-03 as part of the #100DaysOfAgenticAi Fork it, tweak it, have fun!

1.2 Logical Blocks

This catalog entry is organized from the workflow JSON. The node-level section below shows the executable blocks available for review before importing the template.

2. Block-by-Block Analysis

Block 1 - Google Gemini Chat Model

Type / Role: @n8n/n8n-nodes-langchain.lmChatGoogleGemini - lmChatGoogleGemini
Config choices: Version 1

Block 2 - Basic LLM Chain

Type / Role: @n8n/n8n-nodes-langchain.chainLlm - chainLlm
Config choices: Version 1.5

Block 3 - SearchAskHN

Type / Role: n8n-nodes-base.hackerNews - hackerNews
Config choices: Version 1

Block 4 - FindHNComments

Type / Role: n8n-nodes-base.httpRequest - httpRequest
Config choices: Version 4.2

Block 5 - CombineIntoSingleText

Type / Role: n8n-nodes-base.aggregate - aggregate
Config choices: Version 1

Block 6 - SplitOutChildrenIDs

Type / Role: n8n-nodes-base.splitOut - splitOut
Config choices: Version 1

Block 7 - GetTopicFromToLearn

Type / Role: n8n-nodes-base.formTrigger - formTrigger
Config choices: Version 2.2

Block 8 - SendEmailWithTopResources

Type / Role: n8n-nodes-base.emailSend - emailSend
Config choices: Version 2.1

Block 9 - Convert2HTML

Type / Role: n8n-nodes-base.markdown - markdown
Config choices: Version 1

Block 10 - Finished

Type / Role: n8n-nodes-base.noOp - noOp
Config choices: Version 1

3. Summary Table

Workflow	Learn anything from HN - get top resource recommendations from Hacker News
Complexity	intermediate
Nodes	10
Categories	Personal Productivity, AI Summarization
Author	ibrhdotme
Published	05 Jan 2025

4. Reproducing the Workflow from Scratch

1. Download the workflow JSON

Use the JSON export at /data/workflows/2697/2697.json as the source template for this automation.
2. Import the template into n8n

Open n8n, import the downloaded JSON, and review each node before activating the workflow.
3. Configure credentials and variables

Replace placeholder credentials, API keys, webhook URLs, account IDs, and environment-specific values with your own settings.
4. Test with sample data

Run the workflow manually or in a staging workspace, inspect node output, and confirm downstream systems receive the expected data.
5. Activate and monitor

Enable the workflow only after testing, then monitor executions, errors, and rate limits during the first production runs.

5. General Notes & Resources

Review imported nodes carefully before activation. This catalog entry is intended to help you inspect the workflow structure, understand required services, and find related templates faster.

Node names, credentials, schedules, webhook paths, and external service limits may need adjustment for your workspace.

Download workflow JSON Original n8n.io source Personal Productivity workflows AI Summarization workflows

Frequently asked questions

What does Learn anything from HN - get top resource recommendations from Hacker News do?

What do I need before importing this workflow?

Review the workflow JSON, configure any required credentials in n8n, and test the automation in a safe workspace before using it in production.

Can I customize this workflow?

Yes. Use the block-by-block analysis and the downloadable JSON to inspect each node, then adjust credentials, prompts, schedules, filters, or destinations for your Personal Productivity, AI Summarization use case.

ibrhdotme

2 workflows

Nodes

@n8n/n8n-nodes-langchain.lmchatgooglegemini @n8n/n8n-nodes-langchain.chainllm n8n-nodes-base.hackernews n8n-nodes-base.httprequest n8n-nodes-base.aggregate n8n-nodes-base.splitout n8n-nodes-base.formtrigger n8n-nodes-base.emailsend

Complexity

intermediate

Published 05 Jan 2025

Likes 0

View on n8n.io Download Workflow

Install path: /data/workflows/2697/2697.json

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Learn anything from HN - get top resource recommendations from Hacker News

Workflow preview

Important notice

1. Workflow Overview

Best for

Tools used

Source and attribution

1.1 Workflow description

How it works

Set up steps

Screenshots for Workflow, Form and Email

1.2 Logical Blocks

2. Block-by-Block Analysis

Block 1 - Google Gemini Chat Model

Block 2 - Basic LLM Chain

Block 3 - SearchAskHN

Block 4 - FindHNComments

Block 5 - CombineIntoSingleText

Block 6 - SplitOutChildrenIDs

Block 7 - GetTopicFromToLearn

Block 8 - SendEmailWithTopResources

Block 9 - Convert2HTML

Block 10 - Finished

3. Summary Table

4. Reproducing the Workflow from Scratch

1. Download the workflow JSON

2. Import the template into n8n

3. Configure credentials and variables

4. Test with sample data

5. Activate and monitor

5. General Notes & Resources

Frequently asked questions