AI Product Monitor

One-click pipeline that runs four stages sequentially:

1. RSS Monitor — Fetch configured RSS feeds, extract AI product launch posts
2. Product Search — Enrich each launch with web search details
3. Screenshot Capture — Take screenshots of product landing pages
4. Trend Analysis — Analyze launch trends and generate a summary report

Quick Start (Full Pipeline)

python3 scripts/pipeline.py

Individual Stages

# Stage 1 only — RSS monitoring
python3 scripts/pipeline.py --stage rss

# Stage 2 only — Product info search
python3 scripts/pipeline.py --stage search

# Stage 3 only — Screenshot capture
python3 scripts/pipeline.py --stage screenshot

# Stage 4 only — Trend analysis
python3 scripts/pipeline.py --stage trends

Configuration

Edit references/feeds.yaml to customize RSS sources. Default feeds include OpenAI, Google AI, Anthropic, Meta AI, and Hugging Face blogs.

Output

| File | Description | |------|-------------| | data/raw_launches.json | Raw RSS items from stage 1 | | data/enriched_launches.json | Launches with search-enriched info | | data/screenshots/ | Landing page screenshots (PNG) | | data/trend_report.md | Final trend analysis report |

Pipeline Flow

RSS Feeds → raw_launches.json → enriched_launches.json → screenshots/ → trend_report.md

Each stage reads the previous stage's output, so stages can be re-run independently after editing earlier results.