This product was not featured by Product Hunt yet. It will not be visible on their landing page and won't be ranked (cannot win product of the day regardless of upvotes).
Sentor
Entity-level sentiment analysis, built for AI assistants
Sentor scores sentiment against specific things (a feature, a competitor, shipping), not just one overall positive/negative label per review. Connect 20+ sources like Trustpilot, Amazon, and the App Store in the dashboard, or use our API, JS/Python SDKs, and MCP server to run entity sentiment, clustering, and topic naming in your own product or directly from Claude, Cursor, or Windsurf. Free plan, no card required.
Hey everyone 👋
I built Sentor because "4.2 stars" tells you nothing about what's actually wrong. Most sentiment tools give you one positive/negative score per review. Sentor scores sentiment per entity instead, so the same review can come back showing delivery as negative and product quality as positive, rather than one number that hides both.
There's a dashboard where you connect Trustpilot, Amazon, App Store, and other review sources and see sentiment broken down by topic automatically, free plan, no card needed. If you're building your own product, there's an API with official JS/TS and Python SDKs to run the same sentiment, clustering, and topic-naming underneath your own app. And the one I'm most excited to show here is the MCP server: add Sentor to Claude Desktop, Cursor, or Windsurf and your AI assistant can score entity sentiment and cluster documents directly from a plain-language prompt, no dashboard, no API glue code.
Would love feedback, especially from anyone who's tried building sentiment analysis into their own product and hit the "one score isn't enough" wall.
Would love to see a way to compare sentiment trends side by side across competitors, like a chart that shows how my product stacks up against two or three others on the same features over time. That would make the data way more actionable for positioning.
About Sentor on Product Hunt
“Entity-level sentiment analysis, built for AI assistants”
Sentor was submitted on Product Hunt and earned 3 upvotes and 2 comments, placing #155 on the daily leaderboard. Sentor scores sentiment against specific things (a feature, a competitor, shipping), not just one overall positive/negative label per review. Connect 20+ sources like Trustpilot, Amazon, and the App Store in the dashboard, or use our API, JS/Python SDKs, and MCP server to run entity sentiment, clustering, and topic naming in your own product or directly from Claude, Cursor, or Windsurf. Free plan, no card required.
Sentor was featured in SaaS (43.2k followers), Developer Tools (516.2k followers) and Artificial Intelligence (474.3k followers) on Product Hunt. Together, these topics include over 235.8k products, making this a competitive space to launch in.
Who hunted Sentor?
Sentor was hunted by Erfan Jazeb Nikoo. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
Want to see how Sentor stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Erfan Jazeb Nikoo