Focus on improving R&D efficiency and provide teams with one-stop tools such as code analysis, process optimization, and progress visualization.
Macroscope is a programming efficiency tool that serves R&D teams. It has received US$30 million in Series A financing and has been publicly launched. The core functions focus on code management and R&D process optimization. By analyzing the code base to build a knowledge graph and integrating a multi-tool ecosystem, it solves the pain points of engineers being burdened with non-development work and managers having difficulty keeping track of R&D progress. Its technical advantage lies in multi-model collaboration (such as the combination of OpenAI o4-mini-high and Anthropic Opus 4) to ensure the accuracy of code review, and customer data is isolated and encrypted, compliant with SOC 2 Type II compliance, and promises not to use customer code to train models. Pricing is divided into Teams ($30/developer/month, at least 5 seats) and Enterprise (customized price) packages, targeting small and medium-sized R&D teams and large enterprises with customization needs, helping teams focus on core development and improving overall R&D efficiency.
The target audience is R&D team managers and engineers. For managers, the tool provides actionable insights based on the code base. They can understand R&D resource allocation, project progress and core function progress in real time without interfering with engineers, improving R&D transparency. For engineers, it can reduce non-development work such as PR description writing and Commit summary, receive accurate prompts during code review, reduce technical understanding costs (such as explaining the reasons for JWT certification switching), allow them to focus on core development tasks, and improve personal work efficiency.
Used by Ephemera (XMTP developer): The whole team uses tools to reduce reporting work, engineers focus on development, and the CEO can grasp the development progress in real time without interfering with members, improving overall collaboration efficiency.
Particle team use: The tool is like a senior technical leader, which can instantly answer code-related questions (such as code review model selection), help the team focus on function delivery, and reduce process communication costs.
Used by the Class.com product development team: As a key time-saving tool, it helps to quickly transmit code review feedback, accurately locate the root cause of problems, organize project plans, fill document gaps, and accelerate product development.
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