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Disclos runs five-business-day EU AI Act compliance audits for SaaS founders. Fixed €997 price. We work feature by feature, ship Article 50 disclosure code (chatbot disclosure, synthetic content marking, deepfake labelling, emotion recognition notices), and produce a signed audit trail your customers' procurement teams can reference. We cover all three application waves of Regulation (EU) 2024/1689 as separate engagements: Wave 1 (2 August 2026): Article 50 transparency obligations, GPAI provider obligations under Chapter V, governance framework. Wave 2 (2 December 2027): Annex III high-risk obligations, the Articles 9-15 stack, conformity assessment under Article 43, EU database registration under Article 49. Wave 3 (2 August 2028): Annex I embedded-product obligations for AI used as a safety component under Machinery Regulation, MDR, IVDR, lifts, toys, RED, and other Union harmonisation legislation. We maintain a free open-source EU AI Act compliance checklist on GitHub (MIT licence) at github.com/GatisOzols/eu-ai-act-checklist with article references and disclosure templates. Penalty exposure under Article 99: up to €35M or 7% global turnover for Article 5 prohibited practices, up to €15M or 3% for Article 50 and high-risk obligations, up to €7.5M or 1% for supplying misleading information to authorities.

Kobee is a dedicated DevOps (CI/CD) and Toolchain Orchestration solution, designed specifically for enterprises that prioritize high levels of customization, transparency, and standardization. Out-of-the-box, Kobee comes equipped with all the necessary features and the ability to connect with third-party tools, enabling the implementation of CI/CD in any environment (z/OS mainframe, Oracle ODI, Salesforce,...). Specifically for IBM z/OS mainframe environments, Kobee has proven its uniqueness as a drop-in replacement for legacy SCM solutions (such as ChangeMan, Panvalet,...), playing a pivotal role in mainframe modernization since 2004. Version Control Repository support: Git and GitHub, Subversion, Microsoft TFVC, Azure DevOps Services, CVS, generic VCR (API) Issue Tracking / Requirements tools support: JIRA (on-premise and Cloud), Team Foundation Server, Azure DevOps Services, MicroFocus ALM and GitHub (Full feature list: https://docs.kobee.io/technical-sheet-en/6.0/TechSheet.html)

Loomina is an innovative platform designed to elevate software engineers by offering interactive, AI-powered programming courses. By integrating technical documentation, GitHub repositories, and PDFs, Loomina provides a comprehensive learning experience tailored to enhance coding proficiency and problem-solving skills. Key Features and Functionality: - AI-Driven Courses: Utilizes artificial intelligence to create personalized learning paths based on individual progress and areas for improvement. - Interactive Learning: Engages users with hands-on exercises and real-world coding scenarios to reinforce understanding and application of concepts. - Resource Integration: Incorporates a wide range of materials, including technical documentation and GitHub repositories, to offer diverse perspectives and in-depth knowledge. Primary Value and User Solutions: Loomina addresses the challenge of continuous skill development in the rapidly evolving tech industry. By providing AI-powered, interactive courses, it enables engineers to stay updated with the latest programming practices and technologies, thereby enhancing their efficiency and effectiveness in software development projects.

LeadCognition turns GitHub activity into booked meetings. Its AI agent builds your ICP, maps it to the repositories that matter, and monitors them live so you see who's already evaluating your category before they ever fill out a form. GitHub de-anonymization then turns those handles into real people: LinkedIn profile, verified work email, company, and job title. Every lead is scored on intent strength activity volume, recency, quality, and diversity so your team works the hottest signals first, and AI playbooks suggest the context and timing for each outreach. Browsing leads and their full signal history is free. Credits are spent only when you unlock contact details, so budget goes to prospects you actually intend to pursue. Built for B2B SaaS teams selling to developers, SDRs, technical recruiters, and founders hunting early demand signals. Free plan available;

Linkwright is a Jira Cloud app, built on Atlassian Forge and listed on the Atlassian Marketplace, that connects GitHub to Jira. Commits, branches, pull requests, reviews and deployments that mention an issue key show up on that issue, in Jira's native Development panel and in JQL. It was built for teams who have seen a connector say "connected" while nothing links. Each repository shows its state (Up to date, Out of date, Rate limited, Failing, Not authorized) with the time of its last successful read, and a Refresh button rereads one repository on demand. Repositories are attached per Jira project, so a project only links the repositories its team works on. Webhooks come first; a budgeted reconciliation catches what a webhook missed. Data stays in Atlassian's Forge platform: no server of our own. Support from the developer, first response within 2 business days. GitHub.com only for now. Free for teams up to 10 users.

Genval.ai is an innovative platform designed to revolutionize software development by integrating AI-driven code generation, refactoring, and development tools directly with GitHub repositories. It empowers developers and architects to enhance productivity, improve code quality, and streamline the development process through advanced automation and intelligent code management. Key Features and Functionality: - AI-Driven Code Generation: Automatically generate code from human-authored specifications, enabling rapid development and reducing manual coding efforts. - Comprehensive Code Refactoring: Transform complex, cluttered codebases into well-organized, maintainable projects with clear services, models, and comprehensive documentation. - Multi-File Task Execution: Execute tasks across multiple files simultaneously, allowing for efficient implementation of new features, upgrades, and migrations. - Seamless GitHub Integration: Integrate effortlessly with GitHub to manage repositories, track changes, and maintain version control throughout the development lifecycle. - Derivative Centric Development (DCD): Leverage AI to develop code assets based on human-authored definitions or specifications, enhancing flexibility and adaptability in software development. Primary Value and Solutions Provided: Genval.ai addresses several critical challenges in software development: - Enhanced Productivity: By automating routine coding tasks and refactoring processes, developers can focus on innovation and problem-solving, significantly reducing development time and effort. - Improved Code Quality: The platform ensures consistent code standards and best practices, leading to more maintainable and reliable codebases. - Efficient Code Migrations and Modernizations: Genval.ai simplifies the process of upgrading codebases, addressing security vulnerabilities, reducing technical debt, and adopting modern architectures without the need for complex custom scripts. - Industry-Specific Solutions: Tailored AI-powered tools cater to various industries, such as retail and fintech, enabling businesses to streamline operations, reduce costs, and adapt to market-specific requirements. By integrating Genval.ai into their workflows, development teams can achieve unprecedented levels of efficiency, adaptability, and code quality, positioning themselves at the forefront of technological innovation.

Codev is an AI-powered platform that transforms natural language descriptions into full-stack Next.js web applications, enabling users to rapidly bring their app ideas to life and deploy them seamlessly. Key Features and Functionality: - AI-Driven App Generation: Users can describe their app concepts in plain language, and Codev generates complete Next.js applications with all necessary components, styling, and functionality. - Built with Next.js and Supabase: Applications are constructed using Next.js, a popular React framework, and Supabase, a PostgreSQL database with real-time data synchronization, ensuring scalability and performance. - Full Code Ownership: Users have full access to the source code, allowing for complete customization and control over their applications. - Custom Domain Deployment: Codev offers one-click custom domain setup with automatic SSL certificate provisioning, simplifying the deployment process. - Integration with AI Models: Users can choose among various AI models, including Anthropic Claude 4 Sonnet, OpenAI GPT 4.1, and Google Gemini 2.5 Pro, to assist in building their applications. - Visual Editor for Style Edits: A user-friendly visual editor allows for direct design modifications without the need for AI prompts or additional credits. - GitHub Integration: Pro users can transfer projects directly to their GitHub accounts, facilitating collaboration and version control. Primary Value and User Solutions: Codev addresses the challenge of rapidly developing and deploying web applications by leveraging AI to automate the coding process. This empowers both developers and non-developers to transform their ideas into functional applications without extensive coding knowledge. By providing full code ownership and customization options, Codev ensures that users maintain control over their projects. The platform's integration with popular frameworks and databases, along with features like custom domain deployment and GitHub integration, streamlines the development workflow, reducing time-to-market and enhancing productivity.

Ellipsis is an AI-powered developer tool designed to automate code reviews and bug fixes, enhancing the efficiency and quality of software development processes. By integrating seamlessly with GitHub repositories, Ellipsis provides real-time feedback on pull requests, identifying logical errors, enforcing coding standards, and suggesting improvements. This intelligent assistant not only accelerates the code review cycle but also ensures adherence to best practices, allowing development teams to focus on delivering robust and maintainable code. Key Features and Functionality: - Smart Code Reviews: Automatically detects logical mistakes, anti-patterns, and deviations from the team's style guide, providing actionable feedback to maintain code quality. - Asynchronous Code Generation: Developers can assign tasks to Ellipsis via GitHub comments, receiving working, tested code in response, thereby streamlining the development workflow. - Question & Answer Support: By tagging @ellipsis-dev in GitHub comments, team members can receive immediate assistance with code-related queries, facilitating knowledge sharing and problem-solving. - Style Guide Enforcement: Ellipsis interprets natural language style guides and flags violations, ensuring consistent coding practices across the team. - Customizable Feedback: The tool learns from team preferences over time, tailoring its reviews to align with specific coding standards and practices. - Automated Change Logs: Generates weekly summaries of codebase changes, aiding in tracking progress and understanding the impact of recent modifications. Primary Value and Problem Solved: Ellipsis addresses the challenges of manual code reviews and bug fixes, which can be time-consuming and prone to human error. By automating these processes, it reduces the time to merge code by approximately 13%, as reported by users. This acceleration allows development teams to ship features faster while maintaining high code quality. Additionally, Ellipsis's ability to enforce coding standards and detect issues early in the development cycle minimizes the risk of defects in production, leading to more reliable software releases.

Auto PR is a browser extension designed to streamline the process of writing pull request (PR) descriptions on GitHub. By leveraging AI technology, it automatically generates clear and professional PR descriptions, allowing developers to focus more on coding and less on documentation. Key Features and Functionality: - One-Click Generation: Instantly create comprehensive PR descriptions with a single button press, eliminating the need for manual typing. - Auto-Fill System: Seamlessly populates the GitHub PR description field with properly formatted content, ensuring consistency and clarity. - AI-Powered Writing: Analyzes code changes to produce accurate and professional descriptions, capturing the essence of updates effectively. Primary Value and User Benefits: Auto PR addresses the common challenge developers face in crafting detailed and precise PR descriptions. By automating this task, it saves valuable time, reduces the likelihood of errors, and enhances team communication. Developers can now focus more on their core tasks, confident that their PR documentation is thorough and well-articulated.

Astell is the AI memory layer for fast-scaling teams. It connects to Slack, Gmail, Google Calendar, Google Drive, Notion, Linear, and GitHub and unifies what lives in them, every message, email, meeting, document, ticket, and commit, into one permission-aware memory of your company: who decided what, who owns it, and what happened next. Every answer cites its source. Teams use Astell to retrieve any answer with its source, to automate the follow-through (an email, a Slack post, a calendar event, a Linear or GitHub issue, each confirmed before it goes out), and as a proactive second brain: Loops are agents that sort your signals, data, and knowledge with deterministic heuristics and best-practice inference and track every decision, promise, and request until it lands. Model-agnostic (Anthropic, OpenAI, and other frontier models), cited so accuracy can be checked, and available to Claude, ChatGPT, and any MCP client. Free plan. Team plans from $20 per seat per month billed annually.

Enso is an AI work OS and context layer. Work is scattered across Slack, email, Linear, Notion, GitHub and calendars, and teams lose context moving between them. Enso connects those tools in place (Slack, Gmail, Linear, Notion, GitHub, Google Calendar and Google Drive), with nothing to migrate. What you get: a Priority Inbox that ranks what needs you and says why; daily briefings of what changed; an Action Pane with the related docs and threads for every item; a Tasks Hub that pulls tasks from every source; Universal Search that answers with its sources; a Today View with a brief for each meeting; and a Sidecar panel that follows you into any app. Enso only uses data you already have access to and respects the permissions in each connected tool. Data is encrypted in transit and at rest and is never sold. Team plan: $50 per seat per month, 5-seat minimum, billed monthly. Enterprise is custom.

Redesignr is an AI-powered web creation platform that concentrates on three areas - website creation, documentation generation, and blog post creation. Targeted towards developers, agencies, and businesses, this tool can generate a comprehensive website or marketing page through its 'Create New' mode, simply based on user descriptions. It also presents a 'Redesign Website' mode, which allows users to revamp existing websites in accordance with modern design principles and user experience improvements. Another distinct feature of Redesignr is the GitHub Docs mode. It intelligently analyzes GitHub repositorys README files and its structure for creating corresponding detailed documentation websites with syntax highlighting and engagement-boosting features. Furthermore, users can design SEO-optimized blogs or articles on any given topic through the AI Blog Creator. The built-in AI Frontend Engineer delivers a clean, production-ready HTML/CSS code, making the tool accessible to even non-coders. Responsive design for all devices is assured in all creation modes. The tool promises a quick content generation process, potentially reducing the web development process from hours to mere minutes.

AsyncStatus is a productivity tool designed to automate status updates for remote startups by integrating seamlessly with existing workflows. By connecting to platforms like GitHub and Slack, it monitors team activities and generates real-time status updates, eliminating the need for traditional stand-up meetings. Key Features and Functionality: - Automated Status Updates: Generates updates by monitoring team activities in code repositories and communication channels. - Workflow Integration: Connects effortlessly with tools such as GitHub and Slack, requiring minimal setup time. - Customizable Schedules: Allows teams to set personalized update schedules to fit their specific needs. - AI-Powered Summaries: Utilizes artificial intelligence to create concise summaries of team progress. - Time Zone Flexibility: Enables team members across different time zones to access updates at their convenience. Primary Value and Problem Solved: AsyncStatus addresses the inefficiencies of daily stand-up meetings by automating the status update process. This automation reduces interruptions, preserves focus time, and accommodates diverse time zones, leading to increased productivity and streamlined communication within remote teams.

Dam Secure is an AI-native application security platform for teams that build software with AI coding agents. It enforces security rules across the development lifecycle, including agentic planning, the local development environment, and CI/CD, before code ships to production. The platform reviews an organization's existing codebase and generates security rules in plain English, tailored to that codebase's own patterns rather than generic policy. These rules are enforced across every developer, AI agent, and repository. At the planning stage, Dam Secure reviews plans co-authored by developers and AI agents. In the dev environment, it checks AI-generated code before it's committed. In CI/CD, it checks pull and merge requests before they reach production. Dam Secure is built to catch business logic flaws in AI-generated code that traditional tools miss, using codebase context to reduce false positives. It integrates with common AI coding tools (including Cursor, Claude Code, and GitHub Copilot) and version control platforms (Bitbucket, GitHub, GitLab), and keeps a persistent record of security context across the workflow.

TestKase is an AI-powered test management platform built for modern QA teams. It brings artificial intelligence directly into the test management workflow — enabling teams to create test cases, build test plans, track test execution, and manage defects through AI-assisted conversation. Key capabilities include: - Built-in AI agent that generates test cases from requirements, creates test plans, and identifies coverage gaps through natural language commands - MCP server integration allowing external AI agents like GitHub Copilot and Cursor to manage testing directly - Complete test management suite — test cases, test cycles, test plans, defect tracking, and reporting - Integrations with Jira, GitHub, GitLab, Selenium, Cypress, Playwright, Appium, Jest, Pytest, and CI/CD pipelines - Free tier for up to 3 users with unlimited projects and test cases TestKase helps QA teams reduce manual test management effort by up to 70% while improving test coverage through AI-powered gap analysis and smart test prioritization.

SurfSense is a customizable AI research and knowledge management assistant designed to streamline information gathering and analysis. It integrates with various external sources, including search engines, Slack, Linear, Jira, ClickUp, Confluence, Notion, YouTube, GitHub, and Discord, enabling users to access and manage information from multiple platforms within a unified interface. Key Features and Functionality: - Customizable AI Research Agent: Tailor the assistant to specific research needs, enhancing productivity and efficiency. - Integration with Multiple Platforms: Connect seamlessly with tools like Slack, Jira, Notion, and GitHub to consolidate information. - Knowledge Management: Organize and manage data from various sources, facilitating easy retrieval and analysis. - User-Friendly Interface: Navigate and utilize features effortlessly, improving the research experience. Primary Value and User Solutions: SurfSense addresses the challenge of managing and synthesizing information from diverse platforms by providing a centralized AI-powered assistant. It enhances research efficiency, reduces the time spent switching between applications, and offers a cohesive environment for data analysis and decision-making.

Bondsmith is the persistent context layer between engineering teams and their coding agents. It connects the systems where engineering work actually happens (GitHub, Jira, Linear, Sentry and more) into a unified cross-system graph, so every ticket carries a living context bundle: linked PRs, CI runs, errors, decisions and a cross-system story timeline. Engineers work inside the Bondsmith workspace to see what needs their attention, then hand that context to whatever agent they already use (Claude Code, Codex CLI, OpenCode, local or remote) via MCP. Sessions run under a work item and stay resumable, so context isn't lost between agents, handoffs or days. Key capabilities: - Unified work-item view with a cross-system story timeline - Context bundles delivered to any coding agent over MCP - Local agent sessions tied to tickets, with "what changed since this session" - Inbox-style ticket triage with anomaly detection - GitHub Actions cost and usage insights The agent is replaceable; the context layer isn't.

Get complete visibility into your organization’s performance at one place and gain insights to drive data driven decisions with MapleMonk! MapleMonk is a no-code, web-based SaaS platform that helps organizations with powerful out-of-the-box reports and analytics by connecting to various tools such as Shopify, Amazon, Facebook Ads, Google Ads, Google Analytics and many more. MapleMonk also enables organizations with enterprise level data infrastructure that scales seamlessly. The out-of-the-box analytics are currently available for DTC/E-com/Retail brands, but the platform can be used by other industries to integrate data sources from 100+ connectors (ELT), build reusable metrics (Data modelling and warehousing), create reports (Visualizations), govern data assets, and automate data refresh in one tool. Some analytics for DTC/E-com/Retail brands are: • Sales Analytics – Automated reporting of all key performance metrics such as ROAS, CAC, New customers and sales metrics like Orders, Revenue, AOV, Cancellations, Returns etc. across products and marketing channels. Sent daily to your email with zero manual effort. • Marketing Analytics – Identify campaigns, ad sets that are working well and can be invested further vs. those ad sets that needs budget cut or fixing – either in messaging (lower CTR, higher conversion) or in landing page (high CTR, low conversion). • Customer Analytics – Identify customers to retarget based on RFM customer segmentation along with product recommendations for each customer. Further, monitor customer retention across cohorts like Acquisition month, acquisition product and marketing channels. • Operations Analytics – Keep a track of overall dispatch and delivery SLAs to improve operational processes. Get visibility into products’ weeks of supply to avoid OOS situation.

Proactive monitoring and Threat Detection for GitHub CI Workflows

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