Emory Pro
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Emory.pro is a digital vehicle inspection app that streamlines workflows with AI-powered tools. It offers photo doodle, customizable inspection forms, multilingual support, and instant report generation. Built for logistics, shipping, and fleet teams, Emory ensures faster, accurate inspections with easy sharing, QR code tracking, and seamless Excel/API integration.
Emory Pro
GitHubEmory Pro has taken the hassle out of the inspection process, making it quick, efficient, and intuitive. From capturing photos to adding inspection details, everything flows seamlessly. The app is thoughtfully designed, with an emphasis on real-world usability, ensuring you can get your work done with minimal effort. One of its standout features is its offline functionality allowing users to continue inspections without worrying about network connectivity, which is a huge bonus in areas with spotty service.
Our overall experience with Emory Pro has been outstanding. The app is fast, intuitive, and highly reliable, even during large and complex inspections. From seamless offline functionality to professional report generation, every feature feels well thought out and built for real-world use. Emory Pro has significantly improved our efficiency and confidence in the field, making it a best-in-class solution we would confidently recommend to any inspection team.
Based on our record, GitHub seems to be more popular. It has been mentiond 2466 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
// ==UserScript== // @name GitHub -> Obsidian Task // @namespace obsidian // @version 1.0 // @match https://github.com/*/*/issues/* // @match https://github.com/*/*/pull/* // @grant GM_setClipboard // ==/UserScript== (function () { 'use strict'; function getTitle() { return document.querySelector("bdi")?.textContent.trim(); } function copyTask() { ... - Source: dev.to / about 3 hours ago
Import requests From bs4 import BeautifulSoup From datetime import datetime Def fetch_github_trending(): url = "https://github.com/trending?since=daily" response = requests.get(url) soup = BeautifulSoup(response.text, 'html.parser') repos = [] for article in soup.select('article.Box-row'): repo_link = article.select_one('h2 a')['href'] stars_today =... - Source: dev.to / 1 day ago
Git clone https://github.com//.git /opt/app Cd /opt/app Docker build -t app . Docker run -d --name app --restart unless-stopped -p 8080:8080 app. - Source: dev.to / 5 days ago
The core of the ecosystem is the official open-source server hosted on GitHub. It is written in TypeScript and implements the full MCP specification. - Source: dev.to / 9 days ago
This is why the gate needs a trace it can trust, and why AgentLens is the other half of this workflow. agent-eval scores and gates the output; AgentLens captures the trace of how the agent got there โ every model call and tool step, the resolved inputs (not the templated ones), the raw outputs. That trace is exactly the unforgeable, agent-didn't-author substrate that Tier 1+2 need to score against. Without it,... - Source: dev.to / 10 days ago
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