ByteThirst

ByteThirst is a Chrome extension that estimates QueryWeight - the environmental cost of each AI query (water, energy, and CO₂ ) across 14 AI platforms and shows you a real-time dashboard of your impact. No configuration needed — just install and use your AI tools normally. You can also install our CLI in your favorite IDE to measure the impact of vibe coding outside of the browser. Just use "npm install -g bytethirst" in your command line interface. AI CODE BUILDERS USE ~130× MORE ENERGY A single vibe-coding session on Lovable or Bolt can consume an estimated 130× more energy than a standard ChatGPT conversation. ByteThirst shows you the difference. WHAT YOU GET (FREE) Estimated water, energy, and CO₂ per AI session Platform breakdown showing which AI tools cost the most 7-day usage overview with daily averages 6 achievement badges Weekly shareable impact card Daily efficiency tip Community benchmarks (opt-in) BYTETHIRST+ PREMIUM ($4.99/mo or $39.99/yr) 30/60/90-day historical trend analytics Model tier breakdown (small, standard, large, reasoning, image generation) Usage heatmap and week-over-week comparisons AI builder impact panel (Lovable, Bolt, AI Studio) Continuous spike monitoring 15 premium badges across 5 categories Full community benchmarks with percentile ranking Unlimited shareable impact cards PNG chart export BYTETHIRST TEAMS ($16.99/seat/mo or $160.00 seat/yr) Everything in Premium for every team member Team dashboard at app.bytethirst.com Aggregated team QueryWeight visibility Shared environmental goals and competitions Per-member breakdown (opt-in, GDPR-compliant) Admin controls and budget alerts PRIVACY FIRST ByteThirst never reads your conversations. It estimates impact from character counts — your prompts, responses, and code are never captured, stored, or transmitted. Free tier makes zero network calls. All data stays on your device, unless you opt-in to share. TRANSPARENT METHODOLOGY Every estimate is based on published academic research including Epoch AI (2025), OpenAI (2025), EPA eGRID (2023), and Couch (2026). All figures are clearly labeled as estimates. Full methodology at bytethirst.com/methodology. AI has a water footprint. Know yours. bytethirst.com