EcoService OS
AI Field Service OS with smart dispatch & photo diagnostics
What it does
EcoService Pro is an AI-powered field service management platform built for appliance, HVAC, solar and multi-trade crews. It combines smart dispatch, real-time tracking, Maya AI photo diagnostics, estimates, work orders, Stripe invoicing, and offline mobile apps in one system. Every plan includes access to EcoPowerHub Academy — lab-based technical training with graded scenarios and professional certificates. Built for real operators who need tools that work in the field, not just in demos.
Field service management software with smart dispatch, Maya AI photo diagnostics, offline mobile and invoicing for HVAC, solar, generator and appliance crews.
EcoService OS is AI field service management software for crews across land, sea and air. One platform for smart dispatch, real-time crew tracking, work orders, invoicing with direct Stripe payouts, and Maya AI helping your technicians from the first photo to the final signature — field service software your crew opens without training, and FSM software your managers can actually report on. Same company trains the people who run those jobs — self-paced EcoPowerHub Academy labs, no travel. Shops and trainers can promote that training with a tracked partner QR. A 60‑second look at how owners, dispatchers, and field crews run their whole day — from smart dispatch, to Maya AI photo diagnostics,…from ecoserviceos.ecopowerhub.ai
Does the same job
all alternatives →
More ai this month
the category →
I trained a 125M-parameter transformer to autocomplete piano performances in real time (~108 notes/sec on an iPhone 15). The idea is basically GitHub Copilot or Tabnine, except instead of prompting it with code, you prompt it by playing a few notes on a MIDI piano. The model then continues what you played, entirely on-device. The app is free if anyone wants to try it. Happy to answer questions about the model, training, Core ML, or the many things that didn't work.
AI · 16d ago · simedw.com
Astute▲585Automate your B2B brand going viral, with new media creators
AI · 18d ago · company-app.joinastute.com
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…
AI · 26d ago · cactuscompute.com
Launched alongside, August 2026
the whole month →- TL
Life & fun · 10d ago · louisabraham.github.io
- SA
Hello HN! I found that picking out plausible but diverse skin tones for my digital art and game development projects was kind of difficult, and I got curious about if there was a way to define a color space that made it easy. I've built a color picker and procedural generation algorithm based on the space as well as a bunch of other fun js features and demos throughout the page that use the equations. If you find it interesting, I have lots of explanations of how I built it and what properties the space has. The methodology might be a bit shaky, but hopefully the result is as helpful for…
Life & fun · Aug 2026 · toneyalexander.github.io
I trained a 125M-parameter transformer to autocomplete piano performances in real time (~108 notes/sec on an iPhone 15). The idea is basically GitHub Copilot or Tabnine, except instead of prompting it with code, you prompt it by playing a few notes on a MIDI piano. The model then continues what you played, entirely on-device. The app is free if anyone wants to try it. Happy to answer questions about the model, training, Core ML, or the many things that didn't work.
AI · 16d ago · simedw.com