The first workshop on Advances in post-Bayesian methods aims to bring together the currently disparate subfields, stretching from PAC Bayes, generalised Bayes, predictive resampling, and Martingale posteriors, to online learning and beyond. With each subfield growing faster now than ever before, it is imperative that we bring them together to form a unified post-Bayesian front. And given the growing public interest in probabilistic AI, aligning the direction of our field is of especially critical importance. Over the course of two days, we will host eight invited talks from leaders across the post-Bayesian landscape, eight contributed talks, and a poster session to ignite discussion and innovation in our growing community. The workshop will compliment the post-Bayesian seminar series.