our model hub keeps growing! and today we're very happy to welcome t0-gamma, the newest addition to @forecastingco's family of time series foundation models! 😎 happy forecasting! 💙 🧵 #forecasting #timeseries #foundationforecast #timecopilot

so excited to share that Timestral, the new time series foundation model by @MistralAI, is now available in FoundationForecast and @TimeCopilot! ✨ just last week, this new model was released, achieving state-of-the-art performance across GIFT-Eval, TIME, and fev-bench. 🧵 #forecasting #timeseries #foundation #timecopilot

after launching @TimeCopilot, and engaging in conversations with Enterprise teams, and developers all around the world, we’ve heard frequently that many teams were keen to give a shot to time series foundation models, but often didn’t know where to start.

we are very happy to officially release FoundationForecast, the unified open-source API for time series foundation models! ✨ 🧵

why did @rerosillo and i start an agentic forecasting startup? 🤔 because we saw foundation models growing like never before, each with specific strengths across different kinds of data. whether companies and practitioners were working in electricity, healthcare, supply chain, finance, or infrastructure, we believed a layer on top was needed to select and orchestrate the best approach for each use case. time series forecasting is a problem almost every company faces. how are they going to grow? how much computational capacity should they allocate? how much inventory will they need? how many tokens are they going to burn? how will demand evolve? companies evolve through time, and their numerical data is timestamped evidence of their existence. its the history that sets the ground for what comes next. and just a few months after @TimeCopilot was released, agentic forecasting started becoming a category of its own. 😎 but what exactly is agentic forecasting? we answered this question in detail at the International Symposium on Forecasting 2026 by the @IIForecasters. here is the recording of an amazing experience we had: the opportunity to speak in front of some of the world's leading forecasters about agentic forecasting. all my presentations are deeply rooted in who i am, who i want to become, the values i believe in, and of course where i believe the field is headed. and this one couldn't be the exception. yes-- we can be strong and beautiful together. 😉 happy forecasting! 💙 #forecasting #agenticforecasting

what a blast of a conversation we had with Nick Erickson, creator of AutoGluon, for the new episode of The Time Series! @innixma has carved out a unique path in machine learning. he has been devoted to open source for a long time, creating amazing projects such as AutoGluon. but not just that, his research has spanned different areas of machine learning: from tabular models and his work now at @prior_labs , to time series with models like Chronos-2, as well as benchmarks across both domains such as TabArena, BeyondArena, and fev-bench. in this conversation, we deep dive into his journey, why building in the open is so relevant for producing high-quality software, and some of the ideas that have shaped his work. we also shared a common perspective on how live benchmarks can be one of the strongest ways to keep pushing the limits of models forward. in this regard, we found a lot of common philosophy between Impermanent, our @TimeCopilot's live benchmark for time series forecasting, and TabArena. hope you enjoy the conversation as much as we did, and happy forecasting! 💙

t0-beta by The Forecasting Company is now available in TimeCopilot! 🤘 since launching their foundation model t0-alpha earlier this year, trained on public and synthetic datasets, the @forecastingco team has continued upgrading its capabilities and has now introduced t0-beta, their new open-weights model. this new release marks an improvement over the previous version. t0-beta shows comparable performance to Chronos-2, Tirex-2, and Toto-2 across point and probabilistic forecasting accuracy. we are happy to welcome t0-beta to @TimeCopilot! the unified framework we are building helps companies and practitioners compare this model automatically with other foundation forecasting models under the same workflow. and now, they can do it with the t0 family as well. 😎 congrats to @geoffnegiar, @jodles89, and the rest of the TFC team on the release! 🫰 more info in the comments👇