Galarm
Alarmy
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Wakey Alarm Clock
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Digital Alarm Clock
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CloudCLI
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Gitpod
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Galarm is an ad-free alarm clock app that enables you to create alarms for any date and time using flexible and innovative repetitions. One of its patented features allows you to share alarms and reminders with your contacts. You can create alarms that simultaneously ring on phones for a group of people, and even set reminders for friends and family to ring their phones.
Here's why you will love Galarm: โข ANYTIME, ANYWHERE: Create alarms for any date and time and use Galarm as your mobile calendar. โข FLEXIBLE REPETITION: Set alarms to repeat hourly, daily, weekly, monthly, or yearly to efficiently manage your to do list. โข PERSONAL ALARMS: Set reminders for yourself such as morning wake up alarm and medication reminder. Add participants to alarms that you normally miss. โข GROUP ALARMS: Use a group alarm as an event planner for any social activity. The alarm goes off at the same time for all the participants, and they can confirm or decline, and chat with each other to coordinate. โข BUDDY ALARMS: Create alarms for someone else to remind them of things they need to do. โข ALARM CHAT: Each alarm has its own chat to keep the conversations private to that alarm. โข RING ON VIBRATE: You can configure alarms to ring even if the phone is on vibrate. โข ADAPTS TO YOUR TIMEZONE: Whether you are on the move or participants are in different time zones, the alarms follow time zone changes. โข NO USERNAMES, NO PASSWORDS.
Most engineering teams run AI coding agents on individual laptops. Close the lid, lose the session. When a new developer joins, they spend hours recreating the same setup.
CloudCLI gives your team shared cloud environments where AI agents run 24/7. Every developer gets their own isolated container, but the team shares MCP servers, context files, and configurations across all projects. Onboarding takes minutes.
Sessions can be started through a full REST API, so workflows in Linear, Jira, or n8n can trigger background coding agents programmatically. A ticket gets filed, an agent starts coding, the developer reviews the PR in the morning.
The web UI and mobile interface include a file explorer, git explorer, and full shell access. Review PRs on your iPad, make fixes from your phone, then pick up in VS Code over SSH.
Unlike GitHub Codespaces, CloudCLI is purpose-built for agentic development. Claude Code, Cursor CLI, Codex, and Gemini CLI come pre-installed. Sessions survive laptop closure. Teams bring their own API keys with no vendor lock-in.
Built on an open-source core (AGPL-3, 9,000+ GitHub stars). Self-host for data sovereignty or use the managed service from โฌ7/month.
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CloudCLI's answer:
CloudCLI is built with a modern JavaScript/TypeScript stack:
The entire codebase is open source under AGPL-3 and available on GitHub.
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:
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.
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.
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 โฌ7/month.
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