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)#

bash

python3 scripts/pipeline.py

Individual Stages#

bash

# 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#

FileDescriptiondata/raw_launches.jsonRaw RSS items from stage 1data/enriched_launches.jsonLaunches with search-enriched infodata/screenshots/Landing page screenshots (PNG)data/trend_report.mdFinal trend analysis report

Pipeline Flow#

text

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.