TANGO
TANGO is a cutting-edge platform designed to enhance productivity and collaboration for AI-powered software development teams. It acts as a memory bank and task management system specifically tailored for agentic pair programming workflows. By providing context engineering capabilities, TANGO enables teams to efficiently manage and control the agent context window during project development, ensuring seamless integration across multiple IDEs such as Cursor, Windsurf, VS Code, Claude Code, and OpenAI Codex. The platform stores project documents securely in a multi-tenant graph knowledge database, allowing real-time collaboration and AI-driven search across project contexts. TANGO offers tools like Tango Start, Tango Tasks, Tango Plan, and Tango Update to streamline sprint planning and execution without requiring developers to change their existing IDEs. With a free plan for individual developers and scalable options for teams, TANGO empowers AI developers and software engineering teams to optimize their workflows, reduce context switching, and improve code quality through enhanced task and memory management.
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Shamans.dev: Securing AI-generated Code
Shamans.dev specializes in securing AI-generated code by providing expert manual security reviews that detect vulnerabilities often missed by automated tools. As AI increasingly contributes to software development, the risk of shipping insecure code rises significantly. Shamans.dev addresses this challenge by leveraging the expertise of its founders and security professionals to perform thorough code audits, focusing on subtle and complex security flaws introduced by AI coding assistants like GitHub Copilot and Cursor. Their service helps organizations prevent potential exploits and maintain robust security postures in AI-assisted development environments. By combining deep domain knowledge with hands-on analysis, Shamans.dev ensures that AI-generated code meets stringent security standards before deployment. Their offering is ideal for teams relying on AI coding tools who want to mitigate the risks of hidden vulnerabilities and safeguard their software products effectively. Currently operating a limited beta program, Shamans.dev is positioned as a cutting-edge solution in the cybersecurity space, dedicated to protecting the integrity of AI-driven software development.
PrimaFi Lab
PrimaFi Lab is a community-driven blockchain ecosystem built to turn ideas into real, usable tools for Web3. Instead of following top-down agendas, PrimaFi Lab listens to its community — creating products and solutions that address real needs, from trading and token launches to community engagement and growth. For everyday users, it means access to tools shaped by people just like them — practical, transparent, and designed to make participation in Web3 easier and more rewarding. For partners and investors, it represents an ecosystem with organic growth at its core: innovations that come directly from community demand, backed by a structure that fosters sustainability, inclusivity, and long-term impact. Our vision is clear: to build an open, participatory, and trustworthy Web3 ecosystem where communities lead the way, and where every tool developed under PrimaFi Lab brings blockchain one step closer to mass adoption.
Notchup AI Co-Pilot
Notchup AI Co-Pilot is an advanced AI-powered assistant designed specifically for CTOs, VP of Engineering and lastly Engineering Managers to streamline and enhance engineering management. Acting as a virtual chief of staff, Notchup helps predict resourcing needs, identify team performance issues, and optimize hiring by recommending the right talent. It also supports upskilling of engineering teams and automates routine people management tasks, freeing leaders to focus on strategic decisions. By leveraging AI-driven insights, Notchup enables engineering leaders to manage their teams more efficiently, improve productivity, and scale their organizations effectively. The platform integrates seamlessly into existing workflows, providing actionable analytics and recommendations that empower engineering leaders to make data-driven decisions and foster a high-performing engineering culture. Focus on strategy, let Notchup handle the rest—because tomorrow’s engg. leaders are already doing it today!
Interviewbar
InterviewBar is an AI-powered video interviewing platform designed to streamline and automate the hiring process for busy founders and recruiters. By enabling online video interviews at scale, InterviewBar significantly reduces the time and cost associated with screening candidates. The platform leverages artificial intelligence to facilitate efficient candidate evaluation, allowing employers to put interviews on auto-pilot. This results in faster decision-making and improved hiring outcomes without compromising on candidate quality. InterviewBar is ideal for companies looking to enhance productivity in recruitment, reduce manual scheduling hassles, and maintain a consistent, scalable interview process. It supports asynchronous video interviews, enabling candidates to record responses on their own time, while hiring teams review them flexibly. Overall, InterviewBar empowers businesses to optimize their recruitment workflows, improve candidate experience, and make smarter hiring decisions with less effort.
Method
Method is an innovative software platform that consolidates a full engineering team into a single, spec-driven agentic Integrated Development Environment (IDE). It leverages advanced AI capabilities to automate and streamline the software development lifecycle, enabling developers to build, test, and deploy applications more efficiently. By integrating specification-driven workflows, Method ensures that development aligns closely with project requirements, reducing miscommunication and accelerating delivery times. The platform acts as a comprehensive engineering assistant, handling tasks traditionally distributed across multiple roles and tools, thereby simplifying collaboration and boosting productivity. Method’s approach empowers teams to focus on higher-level design and problem-solving while the system manages routine coding, testing, and integration processes. This results in faster iteration cycles, improved code quality, and a more agile development environment. Designed for modern software teams, Method bridges the gap between human creativity and machine precision, making it a powerful tool for startups, enterprises, and developers seeking to optimize their engineering output.
Keys and Caches
Keys and Caches offers an automatic profiling solution designed specifically for AI models, enabling developers to gain detailed insights into every PyTorch model inference with minimal effort. By integrating a simple decorator or a single line of code, users can instantly profile their AI models in under 60 seconds, capturing critical performance metrics and resource usage during each forward pass. This streamlined approach helps optimize model efficiency, identify bottlenecks, and improve deployment readiness without the need for complex instrumentation. Keys and Caches is ideal for AI researchers, engineers, and teams looking to accelerate their development cycles by quickly understanding model behavior and performance characteristics. The platform also provides a generous free tier, including 10 hours of free profiling for new signups, making it accessible for experimentation and early-stage projects. With a focus on ease of use, automation, and actionable insights, Keys and Caches empowers AI practitioners to enhance model performance and reliability effortlessly.