Unprompt

Unprompt

Your AI usage in dollars and liters of water

Developer ToolsArtificial IntelligenceProductivity
▲ 0 votes2 commentsLaunched Oct 7, 2026
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Daily #35Weekly #78
Unprompt screenshot 1

From the local logs of Claude Code, Codex and Cursor, Unprompt shows your AI usage as tokens, dollars at API prices and liters of water. The Mac companion is free. On iPhone, Unprompt counts how often you use your AI apps, through Screen Time. Work hours are shown separately. Compare your month with friends. Today's tokens and cost are free. The 30-day card with water comes with Premium.

AI Analysis

📝 Summary

Unprompt tracks AI usage from local logs of Claude, Codex, and Cursor, converting it into tokens, API-based dollar costs, and liters of water consumed. The free Mac companion app shows daily stats, while iPhone uses Screen Time to count AI app usage, separating work hours. Users can compare monthly usage with friends. Premium unlocks 30-day cards with water impact. It solves the pain of invisible personal AI consumption costs and environmental footprint, promoting mindful AI usage with transparent metrics.

📈 Market Timing

In 2025-2026, AI adoption is exploding while concerns over its massive energy, water usage, and costs are rising sharply due to data center impacts and sustainability regulations. Users demand transparency on personal usage. This aligns perfectly with trends in responsible AI and cost management tools. Excellent Timing.

✅ Feasibility

High technical feasibility via log parsing and iOS Screen Time API integration with modest development costs. Low supply chain/compliance risks (focus on privacy). Strong scalability for premium cloud features and broad device support. Minimal team expertise barriers for indie developers. High.

🎯 Target Market

Primary segments: AI developers, software engineers, and tech professionals (ages 25-40) using tools like Cursor/Claude, concentrated in North America and Europe. TAM for AI developer tools ~$20B+, SAM for personal analytics ~$500M, SOM for usage trackers ~$50M. Pain points: lack of visibility into cumulative costs and environmental impact. Moderate-to-high willingness to pay for premium environmental insights.

⚔️ Competition

Low. Direct competitors: 1. Helicone (helicone.ai) - LLM observability platform, 2. LangSmith (smith.langchain.com) - AI debugging/monitoring, 3. PromptLayer (promptlayer.com) - prompt analytics, 4. OpenAI Usage Dashboard. Advantages: unique water usage visualization, personal local tracking, social comparisons, and consumer-friendly free tier. Disadvantages: narrower scope (local logs only), less enterprise features than competitors.

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