Macroscope AI Tool Aims to Revolutionize Developer Workflows

San Francisco, September 18, 2025 — Former Twitter product head Kayvon Beykpour has unveiled Macroscope, a new AI-powered tool developed to assist engineering teams in managing complex codebases and identifying potential bugs more efficiently. The platform promises to reduce time spent on administrative tasks while improving code quality.

Founding Team and Vision

The startup was co-founded by Beykpour alongside childhood friend Joe Bernstein—both veterans of live video startup Periscope—and Rob Bishop, who previously sold his machine learning company Magic Pony Technology to Twitter in 2016.

"Macroscope is the tool we wish we'd had when building our early companies," Beykpour told reporters. "Today's engineers juggle multiple platforms like JIRA and Linear while wasting hours in status meetings. Our solution brings clarity to this chaos."

How It Works

The platform requires installation via GitHub integration, after which it analyzes repositories while optionally connecting with other workplace tools including Slack and project management systems. Key features include:

• Automated bug detection through code analysis
• Pull request summarization for faster reviews
• Natural language Q&A about codebase specifics
• Real-time productivity insights for managers

"Whether you're a CTO or non-technical PM, you can ask questions in plain English," Beykpour emphasized. "This prevents constant interruptions to senior engineers while ensuring everyone stays informed."

Competitive Landscape and Performance

While no direct competitors offer identical functionality, Macroscope faces indirect competition from code review tools like CodeRabbit and Graphite Diamond. Internal benchmarks claim the platform identifies 5% more bugs than comparable solutions while generating 75% fewer redundant comments during reviews.

Business Model and Adoption

The service launches at $30 per active developer monthly, with enterprise pricing available for larger teams. Early adopters include both startups and Fortune 500 companies—all requiring GitHub Cloud integration currently.

The San Francisco-based company employs 20 staff and recently closed a $30 million Series A round led by Lightspeed Venture Partners with participation from Thrive Capital and Google Ventures. Total funding now stands at $40 million since inception.

Key Points:

🌟 Workflow Optimization: Reduces time spent on administrative tasks through AI automation 💡 Natural Language Interface: Allows technical and non-technical users alike to query codebases 💰 Strong Financial Backing: $40 million total funding demonstrates investor confidence 🔍 Superior Benchmarking: Outperforms competitors in bug detection efficiency