{"podcast":{"title":"Code Story: Insights from Startup Tech Leaders","slug":"code-story","podcast_index_feed_id":735330,"rss_url":"https://feeds.redcircle.com/ac5e79a4-0405-49a3-af2c-02c37f0b3879","website_url":"https://codestory.co/","image_url":"https://media.redcircle.com/images/2025/5/14/20/c82c3282-f0a8-4b37-b210-96f7da10be1e_4061-b148-29cd200c3504_full_1568830220-artwork.jpg","author":"Noah Labhart - Startup Founder & CTO","episode_count":793,"summary":"Code Story is a startup podcast for technical founders building and scaling software products. Each episode features SaaS founders, engineers, and product leaders sharing how they built their product, found product-market fit, and navigated early-stage growth. We explore: Early engineering decisions and MVP development Landing the first customers Pricing and go-to-market experiments Scaling challenges and infrastructure bottlenecks Hiring the first team Lessons learned from growing a startup From first commit to first scale, Code Story focuses on the critical transition from building software to building a scalable business. If you’re a founder, engineer, or product leader interested in SaaS, startups, and scaling technology companies, this podcast breaks down how great products are built — and how they grow.","last_synced_at":null,"page_url":"https://stenobird.com/podcast/code-story"},"episode":{"title":"S12 E9: Mitesh Agrawal, Positron","slug":"s12-e9-mitesh-agrawal-positron","published_at":"2026-03-10T10:00:37+00:00","page_url":"https://stenobird.com/podcast/code-story/s12-e9-mitesh-agrawal-positron","show_page_url":"https://stenobird.com/podcast/code-story","url":"https://codestory.co/podcast/e9-mitesh-agrawal-positron/","audio_url":"https://pdst.fm/e/pscrb.fm/rss/p/audio4.redcircle.com/episodes/67420aa5-5f7e-4eef-b88e-be37899ca2e3/stream.mp3","summary":"Mitesh Agrawal explains how Positron is tackling the memory capacity bottleneck in AI inference by developing a new silicon architecture. The discussion covers the transition from supercomputing at Lambda to building purpose-built hardware for massive AI models.","meta_description":"Learn how Positron is solving the AI inference memory bottleneck through innovative silicon design and efficient hardware architecture.","key_points":["Main idea: AI model growth is creating a critical memory capacity bottleneck during the inference stage","Technical challenge: Moving beyond traditional SRAM architectures to solve memory-on-chip limitations using DRAM","Practical takeaway: Building a high-efficiency team (under 20 people for Gen 1) is a viable strategy for complex hardware startups","Failure mode: Avoiding the trap of over-solving for scale before establishing real-world product value and usage","Philosophical lesson: Entrepreneurial longevity requires finding deep passion in the work to endure the inevitable low points"],"chapters":[{"start_ms":60000,"title":"The Vision for AI Hardware","summary":"Mitesh discusses the potential impact of AI technology and the mission of the Positron team."},{"start_ms":440000,"title":"The Inference Bottleneck","summary":"Identifying the thesis that increasing model sizes necessitate new approaches to vector-matrix multiplication and memory."},{"start_ms":620000,"title":"Architectural Innovations","summary":"Exploring the trade-offs between SRAM and DRAM and how Positron is innovating on memory technology."},{"start_ms":1010000,"title":"Scaling Engineering Teams","summary":"How to maintain high capital and people efficiency while driving high-speed silicon design."},{"start_ms":1210000,"title":"The Strategy of Ambition","summary":"Navigating the risks of R&D in the silicon industry and the importance of aiming for massive growth."},{"start_ms":1580000,"title":"Economic Scale in Hardware","summary":"Contrasting the challenges of servicing billion-dollar purchase orders versus small-scale deployments."},{"start_ms":2330000,"title":"Advice for Entrepreneurs","summary":"The importance of passion, work ethic, and pursuing large-scale ambitions in the tech industry."}],"topics":["AI Inference","Silicon Design","Hardware Architecture","Machine Learning Infrastructure","Semiconductor Engineering","Startup Scaling","Memory Capacity","Deep Tech"],"duration_seconds":2079,"processing_state":"processed","actions":[{"name":"request_transcript","method":"POST","url":"https://stenobird.com/v1/public/podcasts/code-story/episodes/s12-e9-mitesh-agrawal-positron/transcription-requests","description":"Idempotently request low-priority transcript generation for this episode."},{"name":"read_markdown","method":"GET","url":"https://stenobird.com/podcast/code-story/s12-e9-mitesh-agrawal-positron.md","description":"Read the agent-friendly Markdown representation of this episode resource."}]}}