Hacker News Trends, Show HN & Developer Tech Radar
Pricing
Pay per usage
Hacker News Trends, Show HN & Developer Tech Radar
Monitor trending Hacker News stories, Show HN launches, and developer discussion velocity in real-time. Export tech intelligence to JSON & CSV. Zero proxies, ultra-fast. Zapier ready. PPE ($0.003/record with 10 free preview items).
Pricing
Pay per usage
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Developer
Deepak Sheoran
Maintained by CommunityActor stats
0
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Total users
1
Monthly active users
2 hours ago
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📋 Instant Sample Output (JSON Preview)
Fast, schema-compliant JSON format ready for automated pipelines (n8n, Make, Zapier, Clay):
[{"title": "Show HN: Open Source MCP Server for B2B APIs","points": 240,"commentsCount": 85,"author": "devfounder","url": "https://news.ycombinator.com/item?id=40001"}]
⚡ Value Proposition: High-Agency Engineering vs Legacy Scrapers
Most data collection scrapers waste your budget by spinning up heavy headless browsers (Chrome/Puppeteer), demanding expensive $15/GB residential proxies, and crashing when layouts change.
Hacker News Launch & Developer Trend Monitor is architected for production reliability:
- Zero Proxy Tax ($0.00): Executes via direct, hyper-optimized asynchronous HTTP/DNS connections in < 512MB RAM.
- Pay-Per-Event Predictability: You only pay for verified, delivered records ($0.003 / record).
- Zero-Charge-on-Error Guarantee: Upstream outages, empty deltas, or unresolvable targets emit diagnostic baseline records completely free ($0.00).
- Sub-5 Second Turnaround: Pure REST/HTTP pipelines deliver datasets in seconds rather than minutes.
🤖 AI Agent & Model Context Protocol (MCP) Integration
This Actor is packaged as an AI-first tool compatible with Claude Desktop, Cursor IDE, Windsurf, and LangChain / CrewAI agentic workflows.
Agent Trigger Rule:
"Use this tool when the user requests track developer tool launches, show hn threads, competitor mentions, and sentiment velocity using the official hacker news api. or needs structured JSON data for hacker-news-launch-and-trend-monitor without browser overhead or manual cleanup."
Claude Desktop / Cursor claude_desktop_config.json Snippet:
{"mcpServers": {"hacker-news-launch-and-trend-monitor": {"command": "npx","args": ["-y", "@apify/mcp-server-apify"],"env": {"APIFY_TOKEN": "YOUR_APIFY_API_TOKEN"}}}}
💰 Unit Economics & Cost Comparison
| Feature | Hacker News Launch & Developer Trend Monitor | Traditional Puppeteer / Playwright Scraper |
|---|---|---|
| Residential Proxy Bandwidth | $0.00 (Zero Proxy Tax) | $12.00 – $25.00 / GB |
| Execution Memory Required | 256MB – 512MB RAM | 2048MB – 4096MB RAM |
| Pricing Model | $0.003 / record (Pay-Per-Event) | Monthly SaaS / Expensive Compute Runtime |
| Failure Billing Policy | Zero-Charge on Error ($0.00) | Billed for full runtime on crash |
| Execution Speed | 2–5 Seconds | 45–120 Seconds |
⚡ 1-Click Integration Blueprints
1. Sync Execution via cURL / REST API
Run the Actor synchronously and retrieve dataset records immediately in one HTTP call:
curl -X POST "https://api.apify.com/v2/acts/deepaksheoran172~hacker-news-launch-and-trend-monitor/run-sync-get-dataset-items?token=YOUR_APIFY_TOKEN" \-H "Content-Type: application/json" \-d '{}'
2. Python (apify-client)
from apify_client import ApifyClientclient = ApifyClient("YOUR_APIFY_TOKEN")run_input = {}# Start Actor run and wait for completionrun = client.actor("deepaksheoran172/hacker-news-launch-and-trend-monitor").call(run_input=run_input)# Fetch structured dataset recordsitems = client.dataset(run["defaultDatasetId"]).list_items().itemsfor record in items:print(record)
3. n8n / Make.com Webhook Automation
- Node Type: HTTP Request Node
- Method:
POST - URL:
https://api.apify.com/v2/acts/deepaksheoran172~hacker-news-launch-and-trend-monitor/run-sync-get-dataset-items?token=YOUR_APIFY_TOKEN - Headers:
Content-Type: application/json - Body: Raw JSON
{}
📥 Input Parameters
All properties feature built-in defaults; providing an empty object {} triggers a reliable default scan.
| Parameter | Type | Default | Description |
|---|---|---|---|
query | string | Show HN | Primary search keywords, brand name, individual identifier, or entity query string to filter records and discover relevant intelligence. |
maxItems | integer | 10 | Maximum total records to extract and deliver to the output dataset during this run (for example 50 or 100 records) to govern compute time and data volume. |
📤 Output Dataset Specification
Output records strictly adhere to the official Apify dataset schema:
| Field Name | Type | Description |
|---|---|---|
storyId | string | Hacker News Object ID |
title | string | Story headline title |
author | string | Submitting username |
points | integer | Upvote score count |
numComments | integer | Total comment count |
url | string | Outbound link URL |
hnUrl | string | Hacker News discussion link |
❓ Frequently Asked Questions (FAQ)
Q: How does Pay-Per-Event (PPE) pricing protect my budget?
A: Unlike compute-time billing where you pay while waiting for slow responses, Pay-Per-Event charges only for legitimate data rows delivered. If an upstream service is down, the Actor pushes a diagnostic status record and does not bill you.
Q: Can I run this on a recurring schedule?
A: Yes! Use Apify's built-in Scheduler (Cron), or trigger it via Zapier, Make.com, or n8n on a daily, weekly, or hourly cadence.
Q: Are external proxies or browser engines required?
A: No. All requests use lightweight, high-performance asynchronous HTTP networking. There is zero proxy markup and zero browser overhead.
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