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Click for video: 🐻🚀 Gural Nuriyev, MEng ’24, is Founder of RapidReview, a pre-seed startup that helps AI research startups automate their AI experiments!! as AI grows, the ecosystem of tools grows alongside it, it’s an exciting time!! listen to the longer 30 minute interview on YouTube, linked below! here’s what we talked about: Introduction to Rapid Review (0:00) How the Platform Works (1:51) - Minimizing the Feedback Loop (1:51) - Tracking Research Trajectories (2:26) Market Dynamics and Constraints (3:28) - The Compute Bottleneck (3:28) - The Future of AI Research Startups (4:41) - Industry Analogies and Architectures (5:48) The Startup Ecosystem (7:32) - The Org Chart of an AI Lab (7:32) - Monetization and Market Fit (8:10) Technical Implementation (8:52) - Open Source Strategy and Plugins (8:52) - Solving the ’Vibe Coding’ Problem (10:11) - Hosted vs. Open Source Versions (11:05) The Anatomy of an Experiment (11:41) - Planning and Adversarial Review (11:41) - GitHub Visuals and Reflections (12:34) - Scaling Experiments Horizontally (14:11) AI Reasoning vs. Statistical Methods (15:10) - Architecture and Data Engineering (15:10) - Quantitative vs. Qualitative Logic (17:08) - Open-Ended Research Capabilities (18:17) Expanding the Scientific Frontier (20:04) - Robotics and Physical Research (20:04) - Human Taste and Scientific Judgment (21:15) - Literature Review Integration (23:19) The Reproducibility Crisis (24:50) - Capturing the Dark Matter of Research (24:50) - Forcing Agents to Log Everything (26:04) - Vision for Open Science (26:50) Human-Agent Interaction (27:29) - Social Media Feed for Agents (27:29) - Nudging and Directing Agents (28:51) - Automated Paper Drafting (29:46) Founder’s Journey and Conclusion (31:31)