CloudCLI's answer:

CloudCLI is built with a modern JavaScript/TypeScript stack:

• Frontend: React with Vite for fast builds, Tailwind CSS for styling, and CodeMirror for the in-browser code editor with syntax highlighting
• Backend: Node.js powering the server and session management
• Infrastructure: Docker for containerized cloud sessions, with support for self-hosting
• Mobile: A dedicated mobile app for managing sessions on the go

The entire codebase is open source under AGPL-3 and available on GitHub.

Craqly's answer

Three practical reasons. First, no bot joins your call, so there is no consent popup for the other side and no procurement objection; recorder-bots like Otter or Fireflies add a visible participant. Second, you get help in real time (1-2 seconds) instead of a summary email twenty minutes after the moment has passed. Third, one app covers three jobs: sales calls with battle cards and objection handling, interviews with answers anchored in your resume, and meetings with automatic action items and recap emails. There is a free tier with no credit card, so you can test it on a real call before deciding.

CloudCLI's answer:

Compared to tools like GitHub Codespaces, CloudCLI is purpose-built for agentic development rather than traditional coding. Here's what sets it apart:

• AI-agent-first: While competitors give you a cloud IDE, CloudCLI gives your AI agents a persistent home in the cloud. Your agents keep working even when your laptop is closed.
• Open-source web UI and mobile app: No other CDE ships with both a browser-based UI and a native mobile app for managing sessions on the go. And it's all open source.
• Cross-device continuity: Start planning on your phone, continue in VS Code at your desk, or kick off from a Linear ticket. Your session context carries over seamlessly.
• Multi-agent support: Run Claude Code, Cursor CLI, OpenAI Codex, and Gemini CLI from one platform instead of managing separate setups.
• Affordable: Starting at €7/month for the managed service, or self-host for free with Docker.

Craqly's answer

Craqly works during the call, not after it. Most meeting AI joins your call as a bot, records everything, and sends a summary once the conversation is over. Craqly listens to system audio directly (no bot joins, nothing appears on the guest list), and surfaces answers, objection counters, and action items in 1-2 seconds while you can still use them. The overlay is excluded from screen capture at the OS level, so when you share your screen the other side sees nothing. It also transcribes 18 languages with natural mid-conversation switching.

CloudCLI's answer:

CloudCLI is one of the only cloud development environments built specifically for AI coding agents. Where Codespaces and Gitpod give you a cloud editor, CloudCLI gives your agents a persistent home that stays alive 24/7. What makes it particularly valuable for teams: shared MCP servers and environment configs mean every developer starts from the same baseline. A full REST API means sessions can be triggered from automation tools, not just opened manually. Background agents can run overnight and produce PRs for review in the morning. And the entire platform is open source (AGPL-3) so teams can self-host on their own infrastructure.

Craqly's answer

People whose income depends on how a live conversation goes. Sales professionals in discovery, demo, negotiation and closing calls. Job seekers in behavioral, technical and coding interviews. Recruiters screening candidates. Managers running standups, planning sessions and retros who want action items captured without a notetaker bot in the room. Because the app transcribes 18 languages with mid-conversation switching, a lot of usage comes from bilingual teams that flip between English and a local language in the same meeting.

CloudCLI's answer:

CloudCLI is built for engineering teams that use AI coding agents as part of their daily workflow. This includes teams adopting agentic development practices with tools like Claude Code, Cursor CLI, or Codex who need shared environments where MCP servers, context files, and configurations stay consistent across every developer. It also serves engineering managers looking to integrate AI agents into existing workflows through API-driven automation with tools like Linear, Jira, and n8n. Solo developers and open-source contributors who want persistent remote access from any device are also a core audience, along with organizations that need to self-host for data sovereignty or regulatory compliance.

Craqly's answer

Craqly is built by Fyrosoft Tech in Hyderabad, India. The team started with an interview copilot (LastRound AI) and kept hearing the same complaint from users about every meeting tool: the AI shows up after the call, when the summary can only tell you what you should have said. So we rebuilt the idea around the call itself: streaming transcription, context-aware suggestions in 1-2 seconds, and a desktop overlay that stays out of screen-share. Getting real-time latency low enough to be useful mid-sentence was the hard engineering problem, and it is the reason the product exists as a desktop app rather than another meeting bot.

CloudCLI's answer:

CloudCLI started as an open-source project to solve a problem every developer using AI coding agents hits: your agent ties up your terminal and stops working when your laptop sleeps. We built a cloud-native environment where agents run persistently, paired with an open-source web UI so anyone could manage sessions from a browser or phone. As teams started adopting it, the focus shifted to shared environments, where team-wide MCP servers, configurations, and context files could be maintained in one place instead of duplicated across every developer's machine. The project grew to 9,000+ GitHub stars organically with no marketing. Today CloudCLI offers both a free self-hosted option and a managed cloud service starting at €7/month.