Yogesh249S/Signalflow
Real-time cross-platform social signal intelligence. Ingests content from Reddit, HackerNews, Bluesky, and YouTube, processes it through a dual-path stream pipeline, and surfaces enriched signals — sentiment, velocity, trending score, and cross-platform divergence — via a REST and WebSocket API
What's novel
Real-time cross-platform social signal intelligence. Ingests content from Reddit, HackerNews, Bluesky, and YouTube, processes it through a dual-path stream pipeline, and surfaces enriched signals — sentiment, velocity, trending score, and cross-platform divergence — via a REST and WebSocket API
Code Analysis
0 files read · 5 roundsA real-time social signal intelligence platform that ingests posts from Reddit, HackerNews, Bluesky, and YouTube via Kafka, enriches them with NLP (sentiment, entities, topics), computes velocity/trending metrics, detects cross-platform divergence, and serves enriched signals through a Django REST A
Strengths
Well-architected multi-service system with clear separation between ingestion, processing, storage, and serving layers. Uses appropriate technologies for each layer (Kafka for streaming, TimescaleDB for time-series, dbt for transformations, React for visualization). The dual-path pipeline design and cross-platform divergence detection represent genuine engineering challenges solved thoughtfully.
Weaknesses
Cannot fully evaluate code quality due to limited access to core Python implementation files - many marked as 'outside repo'. Test coverage appears minimal based on visible test files. Some complexity in the multi-replica setup may introduce operational overhead.
Score Breakdown
Signal breakdown
Innovation
Craft
Traction
Scope
Evidence
Commits
23
Contributors
1
Files
146
Active weeks
3
Repository
Language
Python
Stars
2
Forks
0
License
NOASSERTION