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DeployCloud is a fully managed platform-as-a-service (PaaS) that takes any app from a Git repo or a local folder to a live HTTPS URL, in any language, with zero-downtime deploys and no servers to run or patch. Ship however you work: ask an AI assistant such as Claude, Cursor or Codex through the built-in MCP server (38 agent tools for deploys, logs, rollbacks, scaling, env vars, add-ons, domains and cron jobs), run a single zero-dependency CLI command that drops straight into CI, or just git push with GitHub push-to-deploy. DeployCloud builds from your Dockerfile or auto-detects Node, Python, Go, Ruby, PHP, Rust, Java and more with Nixpacks, then releases behind health checks with automatic HTTPS. Key capabilities include preview deployments for every branch (with GitHub commit statuses and PR comments), one-click rollback to any release without a rebuild, horizontal scaling and CPU-based autoscaling, one-click Postgres, MySQL, Redis and S3-compatible storage add-ons with connection strings injected automatically, scheduled Postgres backups with one-click restore, streaming logs and log drains, metrics and threshold alerts, custom domains, persistent volumes, cron jobs and an activity audit trail. Pricing is flat and predictable: start free with no credit card, then move to a flat monthly plan with no per-seat pricing, no metered add-ons and no surprise egress fees. A managed Heroku and Vercel alternative for developers, startups and small teams who want to ship without running their own infrastructure.

Stacker Docs is an AI knowledge base for company documents. Employees ask questions in plain language and get answers drawn from the company's own policies, handbooks, SOPs and playbooks, with the source document cited in every answer. Every document is stored as plain markdown in a GitHub or Azure DevOps repository that the company already owns. Non-technical staff read and edit in a formatted (WYSIWYG) editor, and Stacker Docs commits their changes to the repository for them, so nobody needs to learn git or markdown. Technical teams, if they prefer, can keep working on the same files with their usual tools. A company that stops using Stacker Docs keeps the repository and its full history, so there is nothing to export. Answers run on the organization's own AI provider API key, so the AI vendor relationship and its cost stay with the company. Stacker Docs does not use customer documents to train any model. Stacker Docs is built for companies of about 50 to 500 people, especially software companies and professional services firms that want one current source of truth, and an internal AI over it, without needing to build and manage a retrieval (RAG) pipeline. - Storage-based pricing with no per-seat fees. The first 2 MB, an estimated 230 documents, is free. - Single sign-on is available with Microsoft Entra ID. - Export any document to Word or PDF. - Only members of the organization can see or ask about its documents. Stacker Docs needs a GitHub or Azure DevOps repository and an AI provider API key.

Writing end-to-end tests takes longer than the feature, the scripts break on every UI change, and when they pass they only prove what you told them to check. TesterArmy replaces the scripts with an agent that uses your product the way a user would, on every pull request. You describe each flow in plain English, for example “log in as the test user, open the API keys page, create a key, check it shows up”. The agent opens a real browser or mobile device, works out what to click from what it sees, and remembers what it learned about your app for the next run. Login, OAuth, one-time passcodes and test accounts are handled. Every run ends with one of three verdicts: passed, failed or blocked. Blocked means the agent could not get through for a reason outside your product, such as a third-party outage, so it never lands on your team as a bug. Each run keeps a recording, screenshots, browser console and network logs, and a step-by-step transcript of what the agent did and why. When something fails, paste the report into your coding agent to fix it, or send it to Linear as an issue. Results also go to GitHub, Slack, Discord or a webhook. It tests web, iOS and Android, including Expo and EAS builds. Runs start from a GitHub pull request, on a schedule against production, or from the terminal through the CLI and the MCP server, so Claude Code, Codex or Cursor can write and run tests for you.

AI infrastructure for CX teams. Connect all your sources of data, such as Salesforce Service Cloud, Zendesk, Notion pages and GitHub repositories, and use as context to automatically answer your users' questions, deflect tickets and draft case replies.

SeaTicket is an AI-powered issue management platform that unifies issues from GitHub, support channels, and community feedback into a single workspace. It helps software teams structure, prioritize, and resolve issues faster with AI-driven automation and collaboration.

Leanback.live is an AI chief of staff for engineering managers. It reads your team's Jira, GitHub and Linear tickets, PRs and calendar overnight and posts a prioritized morning brief in Slack: what's blocked, what's stalling, what needs you today. https://leanback.live

Tap into the power of digital marketing with Digiffic's comprehensive suite of services. From SEO and SEM to Marketing Automation and Amazon PPC and all the way through LinkedIn, Reddit, and more, we’ve got you covered. No need for worrying over high-quality content or graphic design either—these are included in your package. Let us guide your success regardless of what sector or industry you operate in. Whether it's eCommerce or SaaS, we can do it all, including auditing and task automation. This way, your workloads become much lighter until that growth potential becomes reality minus the hassle. Our expertise has been sought by some of the most prominent companies in the world. We are committed to recognizing potential and establishing it as a long-term success story. Our work with clients across multiple sectors, banking, marketplaces, insurance, travel, education, you name it, continues bringing solutions that sustainably achieve.

Lithium SMS from NewNet consists of a modular Short Message Service Centre (SMSC), SMS Firewall and Application Gateway (AGW), designed to overcome the obstacles of legacy SMS infrastructures. Lithium enables operators to deploy advanced messaging services, to increase revenues and reduce CAPEX/OPEX.

Codowave is an autonomous AI software engineer. Assign it an issue from GitHub, Linear, Jira, or Trello and it maps your codebase, writes a plan, implements the fix, runs your tests until green, and opens a reviewable pull request — 24/7. Self-hostable. Waitlist open.

Koi brings visibility and control to the chaos of modern software ecosystems—discover, assess, and govern everything your teams pull from marketplaces like GitHub, Huggingface, VSCode, Homebrew, and beyond. Apps, MCPs, packages, extensions, AI models—secured before they reach your endpoints.

Test observability, performance, monitoring and analytics platform for test automation. We speed up CI E2E tests, record and debug E2E failures, help to get rid of flaky tests, share test reports, integrate with Slack, GitHub and more.

SaaSphire is a unified feedback platform that helps teams collect, manage, and act on user feedback. With integrated feedback boards, changelogs, and roadmaps — plus Slack, Jira, and GitHub integrations — it’s perfect for PMs, founders, and fast-moving SaaS teams.

QuarryFi helps US software businesses organize development activity and cost evidence for CPA or tax-professional review. It connects GitHub, VS Code, Claude Code, and Codex activity with project and cost context. QuarryFi does not determine tax eligibility or prepare tax returns.

LaraCopilot is the world’s first Laravel AI Full Stack Engineer. It turns your idea into a full stack Laravel app in minutes with clean code, database setup, migrations, admin panel, GitHub sync, and one-click deploy. No lock-in. Built 100% with Laravel.

Netsmartz Digital & App Innovation services help organizations modernize applications and build scalable cloud-native solutions on Microsoft Azure. We support application modernization, refactoring, containers and AKS, microservices, DevOps, GitHub, API integration, and cloud-native development to accelerate digital transformation and product innovation.

SpurQuality is the AI-powered quality engineering platform that closes the gap between AI development speed and release confidence, combining a full testing lifecycle workspace with a 185-tool MCP server and 70+ AI agents that work directly inside Claude Code, GitHub Copilot, and Cursor.

Kypso is an AI-driven platform designed to automate and enhance engineering workflows, enabling software development teams to focus on delivering high-quality products efficiently. By integrating seamlessly with tools like Slack, GitHub, and Jira, Kypso streamlines processes such as code reviews, project management, and incident response, reducing manual tasks and improving collaboration. Key Features and Functionality: - AI-Powered Code Reviews: Kypso's AI champions analyze code changes across all programming languages, providing rapid, objective feedback to developers. This accelerates the review process and ensures consistent code quality. - Automated Project Management: The platform automates tasks like generating release notes from GitHub deployments and notifying team members of Jira issue status changes, keeping everyone informed and aligned. - Slack Integration: Kypso enhances Slack's functionality by automating workflows such as creating Jira tickets from Slack messages, ensuring that critical items like bugs and feature requests are captured and addressed promptly. - Incident Management: The platform facilitates quick incident response by automatically creating dedicated Slack channels with relevant team members when critical issues are reported, streamlining communication and resolution. Primary Value and Problem Solved: Kypso addresses the inefficiencies and communication gaps that often plague engineering teams by automating repetitive tasks and enhancing collaboration. By reducing manual interventions, it minimizes context switching for engineers, allowing them to concentrate on more impactful work. This leads to improved productivity, faster project delivery, and higher customer satisfaction. For instance, a digital health startup reported enhanced efficiency and better customer engagement after implementing Kypso to automate their workflows.

LetMeCheck.ai is an AI-powered code auditing and quality assistant designed for founders, CTOs, and tech leads. It provides actionable insights into codebase health, focusing on security, performance, and scalability. By integrating seamlessly with GitHub repositories, LetMeCheck.ai automates code analysis, offering AI-driven fix suggestions to enhance code quality and reduce technical debt. This enables teams to identify and address critical issues early, ensuring robust and efficient software development. Key Features: - Automated Security Scanning: Detects vulnerabilities such as XSS, SQL injection, and authentication flaws through continuous code analysis. - Performance and Scalability Analysis: Identifies performance bottlenecks and scalability concerns, providing optimization strategies and architectural recommendations. - AI-Powered Fix Suggestions: Offers ready-to-implement solutions for detected issues, streamlining the remediation process. - Severity Dashboard Reports: Provides prioritized issue reports with actionable recommendations, facilitating efficient issue management. - Git-Triggered Automated Scans: Integrates with GitHub to automatically analyze code upon each push, ensuring continuous quality monitoring. - Multi-Language Support: Supports various programming languages, including JavaScript, TypeScript, Python, Java, Ruby, Go, PHP, C#, and C++. Primary Value and Problem Solved: LetMeCheck.ai addresses the challenge of maintaining high code quality in fast-paced development environments. By automating the detection of security vulnerabilities, performance issues, and scalability risks, it reduces the time and effort required for manual code reviews. This proactive approach minimizes the likelihood of critical issues reaching production, enhances team efficiency, and supports informed decision-making for technical leaders. Ultimately, LetMeCheck.ai empowers organizations to build secure, performant, and scalable software with confidence.

We Report Work is an AI-powered software designed to simplify and automate the process of creating daily and weekly work summaries. By integrating seamlessly with essential work tools such as Gmail, Google Drive, Google Calendar, Outlook Email, Teams, Slack, GitHub, and JIRA, it gathers data from various platforms to generate concise reports in seconds. This eliminates the need for manual reporting, allowing professionals to focus more on their core tasks. Key Features and Functionality: - Automated Summarization: Generates daily and weekly work summaries by aggregating data from connected tools. - Seamless Integrations: Supports integration with multiple platforms, including Gmail, Google Drive, Google Calendar, Outlook Email, Teams, Slack, GitHub, and JIRA. - User-Friendly Interface: Offers a straightforward login process using Google accounts and provides customizable templates for summaries. - Data Privacy and Security: Ensures that user data is fetched via secure APIs and is not stored without explicit consent. For enterprise clients, self-hosting options are available to enhance data security. - Flexible Pricing Plans: Offers a free tier with core features and paid plans that include additional functionalities such as editable templates, auto-sharing, and custom branding. Primary Value and User Solutions: We Report Work addresses the common challenges associated with manual work reporting, such as time consumption, inconsistency, and lack of visibility. By automating the summarization process, it ensures timely and accurate reports, enhancing transparency and accountability within teams. Managers receive regular updates without the need to chase team members, and employees can showcase their achievements effortlessly. This proactive approach helps in preventing potential issues, improving client satisfaction, and fostering a culture of recognition and growth within organizations.

Hashnode is an AI-powered blogging and documentation platform tailored for developers and teams, offering collaborative editing, headless CMS capabilities, and seamless integration with modern developer tools. Key Features and Functionality: - AI-Assisted Writing: Utilize advanced AI tools for content generation, editing, tone adjustments, and SEO optimization directly within the editor, including contextual chat and code generation support. - Real-Time Collaboration: Collaborative editing, inline comments, and notifications enable teams to co-author and review content efficiently, mirroring the seamless experience of tools like Google Docs. - Headless CMS & Customization: Fully decouple content management from presentation, allowing developers to build custom frontends while using Hashnode’s backend and APIs for content delivery and management. - Developer-Centric Editor: A markdown-based, block-style editor optimized for technical writing, supporting code blocks, embeds, and rich formatting for clear technical documentation. - Seamless Integrations: Integrate with GitHub for backup and publishing, utilize webhooks, and embed content from platforms like Twitter, YouTube, and more for a dynamic publishing experience. - Comprehensive Analytics & SEO: Built-in analytics dashboard and SEO tools help track performance and improve content discoverability, including auto-generated sitemaps and RSS feeds. Primary Value and Solutions: Hashnode empowers developers and engineering teams to create, manage, and scale blogs, API documentation, and product guides with ease. By offering a powerful markdown editor, real-time collaboration, headless CMS capabilities, and robust AI-assisted writing tools, Hashnode streamlines technical content creation and team workflows. Its deep customization options, GitHub integration, and built-in analytics ensure content ownership and high performance, addressing the need for efficient and scalable technical content management.