Brandwatch Listen vs Harken
Brandwatch Listen
brandwatch.comHarken
github.comSide by side
| Figure | Brandwatch Listen | Harken |
|---|---|---|
| Price from | — | Free |
| Free plan | — | Yes |
| Free trial | — | — |
| Open source | — | — |
| Web | Yes | Yes |
| API | Yes | — |
| Self-hosted | — | Yes |
| Plans published | 1 | 1 |
| Spec score · Social Media Listening Software | 8.0 (#21) | 7.7 (#39) |
| Spec score · Social Media Monitoring | 7.9 (#8) | 7.9 (#9) |
| Spec score · AI Social Listening Tools | 7.9 (#11) | 7.9 (#12) |
| Alerts | Its AI smart alerts detect spikes and drops in mentions, and the product page says teams can be alerted to negative comments. | It supports Slack or generic webhooks and SMTP email alerts for new negative mentions and configured volume or sentiment thresholds. |
| Analysis | Listen analyzes sentiment as positive, negative, or neutral and offers multi-language analysis. | It scores sentiment with a built-in local lexicon analyzer and groups mentions into themes, with optional LLM analysis. |
| Intended users | Brandwatch positions its social media management suite for social media managers and content marketers, including teams that want to monitor their brand. | The README describes Harken as suited to indie founders, open-source maintainers, and privacy-conscious teams. |
| Purpose | Listen monitors online conversations about brands, products, and competitors to surface trends in real time. | Harken tracks mentions of keywords, brands, or products across online sources and presents sentiment and themes in a local dashboard. |
| Sentiment analysis | Yes | Yes |
| Support | Brandwatch offers product help through its Help Center, Academy courses, and user community. | The project invites issues and pull requests, and says paid tools offer broader hosted operations and vendor support. |
Plans
In their own words
Brandwatch Listen
Brandwatch Listen monitors conversations across social networks and the wider web to help teams follow brands, products, competitors, and emerging trends. Its coverage includes X, Facebook, Instagram, LinkedIn, TikTok, Tumblr, YouTube, Reddit, Bluesky, and QQ; Brandwatch says it draws insights from 100 million online sources. Search supports unlimited queries and 48 Boolean operators. Saved searches can provide a year of historical mentions and insights, while quick searches are limited to the last month and cannot be revisited, shared, or used for alerts. The service groups sentiment as positive, negative, or neutral and supports multi-language analysis. Graphs and metrics cover mentions, sentiment, and demographics, with filters such as platform, language, and location. AI alerts can flag changes in mentions and negative comments by email. Access to saved searches depends on the organization’s Social Media Management contract, and only Team Leaders and Admins can save searches or manage certain settings. It runs on web and through an API; pricing is on request, and there is no free plan.
Harken
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.