AI Product Radar

One-click AI product launch monitoring pipeline. Use when tracking new AI product releases, monitoring competitor launches, generating trend reports from tech RSS feeds, or running automated product discovery. Integrates RSS monitoring, product info enrichment, screenshot capture, and trend analysis into a single command. Triggers on "product radar", "AI launch monitor", "track new AI products", "product release tracking", "AI trend report", or similar product intelligence workflows.

Automated pipeline that monitors AI product launches across tech RSS feeds, enriches product data, captures screenshots, and produces a ranked trend report.

Quick Start

bash

python3 scripts/ai_product_radar.py --output ./radar-output

Output:

• report.md — human-readable trend report with ranked products, categories, themes
• products.json — full structured data (all products, scores, categories)
• screenshots/ — product page screenshots (or info cards if no browser)
• raw/rss_items.json — raw feed items

Options

Flag	Default	Description
--output, -o	./ai-radar-output	Output directory
--feeds, -f	built-in list	JSON file with custom RSS URLs
--limit, -l	15	Max screenshots to capture
--days, -d	3	RSS lookback window
--no-screenshots	off	Skip screenshot stage
--query, -q	AI auto-detect	Filter term (narrows results)

Pipeline Stages

1. RSS Monitoring — Fetches 7 built-in feeds (Product Hunt, TechCrunch AI, The Verge AI, VentureBeat AI, HN Show, MIT Tech Review, Ars Technica), deduplicates, and filters for AI relevance via keyword matching.
2. Product Enrichment — Extracts product name, detects categories (LLM, image gen, dev tools, agents, enterprise, etc.), scores launch signals.
3. Screenshot Capture — Captures product pages with Playwright if available; falls back to generated info cards.
4. Trend Analysis — Ranks products by signal score + recency, aggregates category/source distributions, extracts key themes.

Custom Feeds

Create a JSON file:

json

["https://example.com/feed.xml", "https://another.com/rss"]

Then pass --feeds my-feeds.json.

Scheduling

Set up a cron job for daily monitoring:

bash

# Every day at 9:00 AM
python3 /path/to/scripts/ai_product_radar.py -o ~/radar/$(date +%Y-%m-%d)

Extending

• Add RSS feeds to DEFAULT_FEEDS in the script or use --feeds.
• Adjust AI_KEYWORDS for broader/narrower filtering.
• Add categories in category_patterns inside search_product_info().
• The script uses only Python stdlib + optional Playwright; no API keys required.