Fletcher Richman co-founded and led Halp from idea to acquisition by Atlassian while building deep expertise in Slack-native products and future of work trends, then returned to founding a stealth startup while continuing to invest at Kokopelli Capital. He has created and shared a detailed tactical playbook for raising seed rounds based on direct involvement in 100+ seed financings, giving founders step-by-step fundraising processes rather than just high-level feedback.

• Passionate about practical applications of artificial intelligence in the workplace rather than theoretical hype. Values real-world demonstrations of agents running in production environments. For example, he built an automated email sequence using a marketing agent that pulls product details and pushes emails directly from a shared document his team can access.
• Focused on the evolution of team collaboration and enterprise software. Believes traditional messaging tools designed only for humans are becoming obsolete, making way for platforms natively built for both human and artificial intelligence interaction. A clear example is his work on a collaborative platform that allows teams to comment and iterate in real time alongside virtual teammates.
• Interested in the infrastructure required to give virtual agents autonomy and secure identities. Strongly advocates for providing these systems with their own cloud computers, email addresses, and specific software permissions. He put this into practice by open-sourcing a personal messaging assistant that connects directly to his local calendar, emails, and notes to handle tasks like daily briefings and personalized invites.
• Fascinated by the rapid prototyping capabilities modern tech enables and the unique design challenges they present. Frequently explores how to build small, functional tools in a single afternoon while also tackling complex interface problems. For instance, he is actively working through design hurdles like managing parallel conversations from a single parent thread, designing collaborative prompts, and integrating human oversight into automated workflows.
• Dedicated to leveraging technology for human learning, information synthesis, and memory retention. Shows a strong interest in educational technology that goes beyond manual effort. An example of this is his development of a personal learning extension that processes consumed content like videos and articles, then automatically generates review questions based on the science of spaced repetition to improve long-term recall.