
Scoutium
Kinovea
Spiideo
Metrica Sports PLAY
Coach Logic
PowerChalk
MatchTracker
SocrPro
CloudCLI
GitHub Codespaces
Gitpod
Qoder IDE
Scoutium is a technology company that provides a unique motivation for all players, clubs and federations around the world. Scoutium has ten thousands of analyses of football players from Germany, Poland and Turkey in its database. With tens of partner clubs, Scoutium is able to access hundreds of cities, towns, and villages in the countries with more than hundreds video experts and scouts. We aim to democratise football by opening up young players' horizons and giving opportunities to players to be discovered.
With Scoutium, licensed football players can improve themselves with exclusively created overview videos, analyses from professional scouts, and special training programs, and can be discovered by clubs with regards to these videos & analyses. Football fans can earn money by recording 90-minute videos or making player analyses and have the chance to pursue a professional scouting career. Thanks to our technology, clubs can access to our database formed by match recordings and scouting analyses.
Until today, Scoutium has raised 2.5M$. With projects in Machine Learning and Data Science, Scoutium has become an ITU Teknokent company in 2018.
With the mission of enabling all players around the world to be discovered, Scoutiumโs goal is to change the game forever. For more, please visit scoutium.com or download our app from Google Play & App Store.
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.
Scoutium
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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.
Kinovea - Kinovea is a video player for sport analysis
GitHub Codespaces - GItHub Codespaces is a hosted remote coding environment by GitHub based on Visual Studio Codespaces integrated directly for GitHub.
Spiideo - Spiideo is an automated sports filming solution to make professional-quality videos for tracking movements, interviewing players, analyzing game-play, etc.
Gitpod - One click dev environment for GitHub
Metrica Sports PLAY - Metrica Sports PLAY is a complete video and data analysis solution that gives you an inside look at your personal performance with videos and data collected from your workout.
Qoder IDE - Qoder is an AI-powered agentic coding platform and IDE that automates complex software development tasks using autonomous AI agents.