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I used it to create leads for my company's product and it helped with it's accurate outputs.
Good tool overall. New features must be released.
This is a fantastic tool for creating an intelligent AI bot for our many landing pages. Excellent bot performance. gives the option to tailor specific crucial messages. Excellent for educating users and fostering trust.
Based on our record, GitHub seems to be a lot more popular than Orimon AI. While we know about 2466 links to GitHub, we've tracked only 1 mention of Orimon AI. 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.
Hi Guys I have built a platform with my team called Orimon. Its a no code chatbot platform currently using open ai's model. Source: almost 3 years ago
// ==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
Intercom - Intercom is a customer relationship management and messaging tool for web businesses. Build relationships with users to create loyal customers.
GitLab - Create, review and deploy code together with GitLab open source git repo management software | GitLab
Landbot - An intuitive no-code conversational apps builder that combines the benefits of conversational interface with rich UI elements.
BitBucket - Bitbucket is a free code hosting site for Mercurial and Git. Manage your development with a hosted wiki, issue tracker and source code.
ChatBot - Easy to use chatbot platform for business
VS Code - Build and debug modern web and cloud applications, by Microsoft