Analyze text sentiment at scale. Paste reviews, tweets, or feedback and get positive/negative/neutral scores.
The prompt
Copy this prompt and paste it into Claude, Cursor, ChatGPT, Codex, or any AI tool connected to Hatchable via MCP.
Build a sentiment analysis dashboard. Users sign up and create analysis projects. They can paste text entries one by one or bulk-upload via CSV. Each text entry is analyzed by the OpenAI API (key from settings) for sentiment: Positive, Negative, or Neutral, with a confidence score and key phrases that drove the sentiment. The project dashboard shows: overall sentiment distribution (pie chart), sentiment over time (if entries have dates), word cloud of frequent terms, and a sortable table of all entries with their sentiment. Include a filter to drill into negative entries. Export results as CSV. Analytics-focused, dashboard design. Deploy it on Hatchable when done.
How to use this template
Connect Hatchable to your AI tool
Add Hatchable as an MCP server in your AI tool of choice. You'll need your API key from Console → Settings. See our setup guides for Claude Code, Cursor, or Codex.
Copy the prompt and paste it
Hit the Copy button above, switch to your AI tool, and paste. The prompt is written to produce a complete, deployable app using Hatchable's platform features.
Your AI builds and deploys it
Your AI writes the code, creates a project on Hatchable, and deploys it. You'll get a live URL you can share immediately — no server setup, no billing.
Customize it
After the initial build, try asking your AI to add any of these:
Add emotion detection beyond just sentiment (joy, anger, sadness)
Include a competitive comparison for multiple data sources
Add automated alerts when negative sentiment spikes
Include a topic extraction to group feedback by theme
Build this app for free
Sign up, grab your API key, and paste this prompt into your AI tool.