Hacker News Search

Search and monitor Hacker News stories, comments, and users via the Algolia HN Search API. No API key required.

When to Use

• User asks about Hacker News discussions on a topic
• User wants to find HN posts about a company, product, or technology
• User wants to monitor HN for mentions of something
• User asks "what's trending on HN" or "what did HN think about X"
• User wants to find Show HN / Ask HN / Launch HN posts

API Overview

Base URL: https://hn.algolia.com/api/v1

Two search endpoints:

• /search — Relevance-sorted (best for finding specific topics)
• /search_by_date — Date-sorted (best for monitoring / recent activity)

Rate Limits: 10,000 requests/hour (generous, no auth needed)

How to Search

Step 1: Build the URL

https://hn.algolia.com/api/v1/search?query=QUERY&tags=TAG&hitsPerPage=N&numericFilters=FILTERS

Step 2: Fetch with web_fetch

Use web_fetch to call the API. Response is JSON.

Parameters

Parameter	Description	Example
query	Search terms (URL-encoded)	query=openai+gpt
tags	Filter by type (see below)	tags=story
hitsPerPage	Results per page (max 1000)	hitsPerPage=20
page	Page number (0-indexed)	page=0
numericFilters	Numeric filters (see below)	numericFilters=points>100

Tag Filters

Use tags to filter by content type:

Tag	Description
story	Stories only
comment	Comments only
show_hn	Show HN posts
ask_hn	Ask HN posts
front_page	Currently on front page
author_USERNAME	Posts by a specific user
story_ID	Comments on a specific story

Combine tags with commas (AND) or parentheses with commas (OR):

• tags=story,show_hn → Show HN stories (AND)
• tags=(story,comment) → Stories OR comments

Numeric Filters

Filter	Description
points>N	Minimum points/upvotes
num_comments>N	Minimum comments
created_at_i>TIMESTAMP	After Unix timestamp
created_at_i<TIMESTAMP	Before Unix timestamp

Combine with commas: numericFilters=points>100,num_comments>50

Date Ranges

To search within a time window, use Unix timestamps with created_at_i:

Calculate the current Unix timestamp first (e.g., via exec: date +%s), then subtract:

Window	Subtract from now
Last 24 hours	- 86400
Last 7 days	- 604800
Last 30 days	- 2592000

Example: if now is 1705312200, last 7 days = numericFilters=created_at_i>1704707400

Response Format

Each hit contains:

{
  "objectID": "12345",
  "title": "Story Title",
  "url": "https://example.com/article",
  "author": "username",
  "points": 150,
  "num_comments": 42,
  "created_at": "2024-01-15T10:30:00Z",
  "created_at_i": 1705312200,
  "story_text": "Text for Ask HN / Show HN (HTML)",
  "_tags": ["story", "author_username", "story_12345"]
}

For comments, hits also include:

{
  "comment_text": "The comment body (HTML)",
  "story_id": 12345,
  "story_title": "Parent Story Title",
  "story_url": "https://example.com",
  "parent_id": 12344
}

The response wrapper includes:

{
  "hits": [...],
  "nbHits": 1000,
  "page": 0,
  "nbPages": 50,
  "hitsPerPage": 20
}

Constructing HN Links

• Story: https://news.ycombinator.com/item?id={objectID}
• Comment: https://news.ycombinator.com/item?id={objectID}
• User: https://news.ycombinator.com/user?id={author}

Step-by-Step Instructions

Searching for Stories on a Topic

1. URL-encode the query
2. Fetch: https://hn.algolia.com/api/v1/search?query=YOUR_QUERY&tags=story&hitsPerPage=10
3. Parse the JSON response
4. For each hit, present: title, points, num_comments, author, date, HN link, and original URL

Finding Recent/Trending Discussions

1. Calculate Unix timestamp for your time window (e.g., 7 days ago)
2. Fetch: https://hn.algolia.com/api/v1/search?query=YOUR_QUERY&tags=story&numericFilters=points>50,created_at_i>TIMESTAMP&hitsPerPage=10
3. Sort results by points or comments for "trending"

Getting Comments on a Story

1. Get the story's objectID from a search
2. Fetch: https://hn.algolia.com/api/v1/search?tags=comment,story_STORYID&hitsPerPage=20
3. Present comment_text, author, points for each

Monitoring a Topic (Show Recent Mentions)

1. Use /search_by_date instead of /search
2. Fetch: https://hn.algolia.com/api/v1/search_by_date?query=YOUR_QUERY&tags=(story,comment)&hitsPerPage=20
3. Results are newest-first — useful for "what's new about X on HN"

Finding a User's Posts

1. Fetch: https://hn.algolia.com/api/v1/search?tags=author_USERNAME,story&hitsPerPage=20
2. For their comments: tags=author_USERNAME,comment

Output Format

Present results as a clean list:

### HN Results for "query" (N total)

1. **Story Title** (150 pts, 42 comments)
   By username · Jan 15, 2024
   🔗 https://example.com/article
   💬 https://news.ycombinator.com/item?id=12345

2. ...

For comments:

### HN Comments on "Story Title"

1. **username** (12 pts) · Jan 15, 2024
   > First ~200 chars of the comment text...
   💬 https://news.ycombinator.com/item?id=12345

Error Handling

• Empty results: Tell the user no results were found. Suggest broadening the query or removing filters.
• API error / timeout: Retry once. If still failing, inform the user the HN search API may be temporarily down.
• Rate limited (429): Unlikely at 10k/hr, but if hit, wait 60 seconds and retry.
• Malformed response: Check the URL construction — common issues are unencoded special characters in the query.

Examples

Example 1: "What's HN saying about Rust?"

Fetch: https://hn.algolia.com/api/v1/search?query=rust+programming&tags=story&hitsPerPage=5&numericFilters=points>50

Example 2: "Find Show HN posts about AI agents from the last month"

# Calculate timestamp for 30 days ago, then:
Fetch: https://hn.algolia.com/api/v1/search_by_date?query=ai+agents&tags=show_hn&numericFilters=created_at_i>TIMESTAMP&hitsPerPage=10

Example 3: "What has pg posted recently?"

Fetch: https://hn.algolia.com/api/v1/search_by_date?tags=author_pg&hitsPerPage=10

Data Source

Algolia HN Search API — Free, no authentication required. Indexes all public Hacker News content in near real-time.