AI Agents
Retrieve and share Hacker News throwback posts daily
13 nodes
303
148
Scheduled trigger
Workflow Description
A scheduled automation that fetches the most popular Hacker News stories from the same date across previous years, analyzes them using Gemini AI, and delivers a daily digest via Telegram with historical context and insights.
How it works
- 1.Trigger daily execution at specified time
- 2.Fetch historical Hacker News stories via HTTP request
- 3.Parse and structure the retrieved data with custom code
- 4.Analyze content trends using Gemini AI model
- 5.Aggregate and merge results into coherent summary
- 6.Send final digest to Telegram channel
Use cases
- Discover recurring tech trends and patterns across years
- Surface inspiring stories from the platform's archive on matching dates
- Build an automated daily archive of historically popular topics
Requirements
- Hacker News data access (public API or scraping method)
- Gemini API key and authentication
- Telegram bot token and channel configured
Service Value
Ideal as a smart automation service combining integrations and AI to produce ready-to-use results.
Apps Used
LLM Chain
Gemini
Telegram
Details
Trigger
Scheduled trigger
Nodes
13
Apps
3
Views
303
Downloads
148
How to Use
- 1.Click "Download Template"
- 2.Open your n8n dashboard
- 3.Go to Workflows > Import from File
- 4.Select downloaded file and configure credentials
Nodes Used (13)
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Basic LLM Chain
LLM Chain
Google Gemini Chat Model
Gemini Model
Schedule Trigger
Schedule Trigger
CreateYearsList
Code
CleanUpYearList
Set
SplitOutYearList
Split Out
GetFrontPage
HTTP Request
ExtractDetails
HTML Page
GetHeadlines
Set
GetDate
Set
MergeHeadlinesDate
Merge
SingleJson
Aggregate
Telegram
Set