Having the AI Builders’ Fireside Chat at the Campus last week was definitely a highlight BUT… … if you missed it, there will be another one in December! 🙌 To be in the loop for upcoming AI events at the Campus, sign up here https://lnkd.in/ebF8hpGi
𝗕𝘂𝗶𝗹𝗱𝗶𝗻𝗴 𝗶𝗻 𝗔𝗜 𝗶𝘀 𝘁𝗼𝘂𝗴𝗵, 𝗯𝘂𝘁 𝘄𝗵𝗮𝘁 𝗶𝗳 𝘁𝗵𝗲 𝗵𝗮𝗿𝗱𝗲𝘀𝘁 𝗽𝗮𝗿𝘁 𝗶𝘀𝗻'𝘁 𝘄𝗵𝗮𝘁 𝘆𝗼𝘂 𝘁𝗵𝗶𝗻𝗸? Marc Klingen , the co-founder of Langfuse (YC W23) , shared a masterclass in innovation during a fireside chat with Bela Wiertz at the Merantix AI Campus last week. Here are some insights into his journey of building in AI: • 𝗣𝗶𝘃𝗼𝘁𝗶𝗻𝗴 𝗶𝘀 𝗽𝗮𝗿𝘁 𝗼𝗳 𝘁𝗵𝗲 𝗽𝗿𝗼𝗰𝗲𝘀𝘀: From usage-based billing to AI observability, Marc highlighted how embracing change led to finding product-market fit. • 𝗢𝗽𝗲𝗻 𝘀𝗼𝘂𝗿𝗰𝗲 𝗶𝘀𝗻’𝘁 𝗷𝘂𝘀𝘁 𝗮 𝗰𝗵𝗼𝗶𝗰𝗲—𝗶𝘁’𝘀 𝗮 𝘀𝘁𝗿𝗮𝘁𝗲𝗴𝘆: LangFuse’s transparency and developer-first focus has built global trust and adoption. • 𝗖𝗼𝗺𝗺𝘂𝗻𝗶𝘁𝘆 𝗺𝗮𝘁𝘁𝗲𝗿𝘀: Strategic partnerships accelerated growth by connecting with developers who share their vision. • 𝗬𝗼𝘂 𝗱𝗼𝗻’𝘁 𝗻𝗲𝗲𝗱 𝘁𝗼 𝗯𝗲 𝗶𝗻 𝗦𝗙 𝘁𝗼 𝘁𝗵𝗶𝗻𝗸 𝗯𝗶𝗴: Operating out of Berlin, LangFuse thrives with a global audience while leveraging the best of both worlds. • 𝗧𝗵𝗲 𝗿𝗲𝗮𝗹 𝗰𝗵𝗮𝗹𝗹𝗲𝗻𝗴𝗲 𝗶𝗻 𝗔𝗜 𝗶𝘀𝗻’𝘁 𝘁𝗵𝗲 𝗺𝗼𝗱𝗲𝗹𝘀: Marc emphasized that the hardest part is architecting workflows that solve real-world problems effectively. Now I’m curious: 📌 What do you think is the toughest challenge in building AI applications today? 📌 Is open source the ultimate trust-builder for developers, or are there better strategies? Tell me what you think 👇