Harken vs Meltwater Social Media Monitoring

Harken tracks mentions of keywords, brands, or products across online sources and brings sentiment and themes into a local dashboard. It can monitor Hacker News, Reddit, Mastodon, Bluesky, Stack Overflow, RSS, X, and YouTube. Sentiment comes from a built-in local lexicon analyzer; optional LLM analysis can label themes using Anthropic, OpenAI, or locally run Ollama. Harken provides a web dashboard and terminal CLI, stores its database in local SQLite, and says it sends no Harken telemetry. Alerts for new negative mentions or configured volume and sentiment thresholds can go to Slack, generic webhooks, or SMTP email. The open-source MIT software is self-hosted and free: free, with no per-seat pricing and API access. Tracking sends search terms to selected source APIs, and Anthropic or OpenAI theme labeling sends a small sample of mention text to that provider. Hacker News and Bluesky work without credentials; other sources may need credentials, configured feeds, or tokens. The quickstart requires Python 3.10 or later, and Docker Compose instructions are included.

Meltwater Social Media Monitoring has no write-up on Specifiction yet; its figures are above.