{"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 Bonus: Dr. Aqib Rashid, Glasswall","slug":"s12-bonus-dr-aqib-rashid-glasswall","published_at":"2026-04-09T10:00:07+00:00","page_url":"https://stenobird.com/podcast/code-story/s12-bonus-dr-aqib-rashid-glasswall","show_page_url":"https://stenobird.com/podcast/code-story","url":"https://codestory.co/podcast/bonus-dr-aqib-rashid-glasswall/","audio_url":"https://pdst.fm/e/pscrb.fm/rss/p/audio4.redcircle.com/episodes/54858ca4-497d-4ab1-b26d-47e70711f8fe/stream.mp3","summary":"Dr. Aqib Rashid explains how to transition machine learning research from a PhD thesis into a commercially viable cybersecurity product. He details the engineering rigor required to build scalable, trustworthy AI pipelines for malware detection.","meta_description":"Learn how Glasswall uses AI and CDR telemetry to detect malware, and how to build sustainable, trust-based tech products.","key_points":["Main idea: Moving from academic proof-of-concept to a production-grade ML development lifecycle (MLDLC) requires rigorous engineering and automated experimentation","Practical takeaway: To build a sustainable AI product, start with a repeatable methodology for one file type (like PDF) before attempting to scale across all formats","Failure mode: Building impressive models that perform well on benchmarks but fail under real-world adversarial conditions","Practical takeaway: Prioritize building products that earn user trust through explainability and usability rather than just technical complexity","Main idea: Successful engineering teams should prioritize genuine curiosity about the problem domain over mere proficiency in specific ML frameworks"],"chapters":[{"start_ms":60000,"title":"Defining the MVP","summary":"Dr. Rashid discusses the initial goal of using CDR telemetry to improve malware detection performance."},{"start_ms":400000,"title":"The Power of CDR","summary":"An exploration of Content Disarm and Reconstruction (CDR) as a foundation for file analysis."},{"start_ms":560000,"title":"Bridging Research and Production","summary":"The challenge of implementing machine learning models into a commercial product roadmap."},{"start_ms":720000,"title":"Achieving Commercial Viability","summary":"Balancing true positive rates with the need to minimize false alarms for enterprise customers."},{"start_ms":1060000,"title":"Scaling the Training Pipeline","summary":"Building infrastructure capable of processing millions of files for model training in hours."},{"start_ms":1230000,"title":"Hiring for Curiosity","summary":"Why domain knowledge and curiosity are more vital than technical skills when building a specialized team."},{"start_ms":2060000,"title":"Advice for Entrepreneurs","summary":"A final lesson on building products that deserve trust and avoiding easily replicable AI features."}],"topics":["Cybersecurity","Machine Learning","Malware Detection","Product Development","Artificial Intelligence","Software Engineering","Startups","MLOps"],"duration_seconds":1790,"processing_state":"processed","actions":[{"name":"request_transcript","method":"POST","url":"https://stenobird.com/v1/public/podcasts/code-story/episodes/s12-bonus-dr-aqib-rashid-glasswall/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-bonus-dr-aqib-rashid-glasswall.md","description":"Read the agent-friendly Markdown representation of this episode resource."}]}}