Open For Business
Open For Business

The Malaysian Launching an LLM Into Orbit

21 August 2026 24:23 BFM Media

Listen to episode

About this episode

The commercial space industry is moving away from exclusive government monopolies to an era where securing a rideshare slot on a commercial rocket is now accessible to private citizens. Ken Chan is proving exactly how accessible this new frontier is by building KENSAT, a 2U CubeSat, entirely from his home. Outfitted with an NVIDIA Jetson running a compressed language model for in-orbit computing, the satellite will soon launch on a SpaceX rideshare, marking the first time a Malaysian private individual has put a satellite into orbit.

While launch costs have significantly decreased, Ken quickly discovered that internal satellite components remain heavily priced for institutional buyers and suffer from months-long lead times. With zero prior hardware experience, he designed his own power and radio boards to bypass these bottlenecks. After successfully passing the rigorous vibration testing required for launch, these homemade components became the foundation of Swordholder Technologies, a solo venture built to disrupt the inaccessible satellite parts market.

Ken joins us to discuss the realities of building and launching a satellite on a bootstrapped budget. We explore his pivot from co-founding a massive crypto derivatives exchange to starting a zero-revenue aerospace hardware business, and unpack the real economics of commercial space rideshares, the process of qualifying homemade hardware for orbit, and how Swordholder Technologies plans to bring affordable infrastructure to the booming space economy.

See omnystudio.com/listener for privacy information.

Want to find AI jobs?

Join thousands of AI professionals finding their next opportunity

We respect your inbox. Unsubscribe at any time.

© 2026 Open For Business. All rights reserved.

Common Questions

Frequently asked questions

Quick answers about how DevFound's AI matching, resumes, and referrals work.

DevFound's AI Copilot ingests your profile, goals, and live job data to deliver curated matches in seconds. Every match includes a resume variant, suggested referrals, and interview prep so you can act immediately. The more feedback you provide, the sharper the Copilot becomes.

AI-led job searches shrink the hours spent sifting through boards and formatting resumes. DevFound pairs automation with your personal outreach, so you reserve energy for interviews and negotiation. Traditional networking still matters, but AI gives you a lift before you even send a message.

Modern AI roles expect comfort with production-grade code, data fluency, and practical ML tooling. The strongest candidates pair deep technical chops with storytelling—translating model impact to product, GTM, and exec partners. Continuous learning keeps you ahead as stacks evolve.

DevFound rewards active seekers. Keep your profile fresh, respond to match quality prompts, and enable alerts so you never miss a role. The AI prioritizes companies and teams that align with your feedback, accelerating both introductions and interview invites.

High-density tech hubs continue to host the deepest AI talent pools, yet distributed teams are catching up fast. Use DevFound filters to hone in on onsite, hybrid, or fully remote roles and watch openings expand across time zones.

DevFound aggregates thousands of remote AI openings and flags the nuances—core hours, async culture, and visa needs—up front. The Copilot also recommends how to position your distributed work experience so hiring managers know you can thrive on a remote team.