
CarbonSpotted
Spot and cut hidden CO2 in your daily life
What it does
Grocery shopping? It's 26% of global CO2 emissions, but most of us are clueless. Enter CarbonSpotted: scan barcodes with your phone, get instant footprint and track savings over time. We're building for you an app with gamification to make green habits addictive and emotionally rewarding. Freemium + B2B partnerships (Q3 2026). Mockup ready and dev underway. Join our waitlist for CO2 report & early testing (MVP Q1 2026). Will you help us validate?https://forms.gle/9dX1iGm7bQxn8hpg7
Does a similar job
all alternatives →- WRWe're building an automated CO2 emission tracker app for households2022 · zerofy.net · ▲11
Hi, we're Zerofy, and our goal is to build a fully automated, real-time, and holistic carbon emission tracking app for households! Our approach relies on tapping all digital data streams representing your life and calculating carbon emissions from them. In the linked post, we describe our approach, show a demo app, and are soliciting feedback! (Once we track emissions, we want to build AI tech that helps reduce. But that's for another post.)





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Hey HN, Henry from Cactus here! We previously released Cactus Needle, a 14MB agentic LLM for tool call, device use, and structured extraction for phones, wearables, smart homes, small robots and microcontrollers. We got really great feedback here, and have now incorporated the suggestions to release Needle 2. The whole model is a single 14MB binary that runs a full session in 28MB of RAM; 45m parameters at 2bit compression. Needle hits 500 tokens/sec decode speed on a Raspberry Pi 5, sits between 400-1,500 tokens/sec on VR devices like Meta Quest 3S and Apple Vision Pro, and ranges…
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