What is When It Ships?
When It Ships is an AI release-intelligence service for developers, founders, and others planning around frontier models. It combines live prediction-market odds on upcoming model releases with a curated feed of launch news from AI labs, press outlets, and X. The site highlights recently shipped models, tracks release odds, and lets readers follow updates through email alerts or an RSS feed. Readers can choose which announcements they want to hear about.
When It Ships Features:
Live Release Odds: The site displays prediction-market odds on upcoming frontier model releases, with odds provided through Polymarket.
Curated News Wire: A news feed gathers updates from AI labs, the press, and X, with newer items shown first.
Recent Launches: A dedicated section highlights recently shipped frontier models and summarizes details such as availability, capabilities, and pricing when reported.
Email Alerts: Readers can sign up for email notifications about the AI releases they want to follow.
RSS Feed: The RSS feed carries the same news wire for readers who prefer to follow updates in an RSS reader.
Topic Selection: Readers can choose which launch updates they want to hear about rather than following every announcement.
When It Ships Benefits:
Earlier Planning: Pairing release odds with current news gives teams more context as they plan around possible model launches.
Less Source Checking: A single feed can reduce the need to repeatedly check separate lab announcements, press coverage, and social posts.
Clear Launch Status: Separating recently shipped models from upcoming releases helps readers distinguish what is available now from what may arrive later.
Relevant Updates: Choosing which announcements to follow helps keep attention on releases that matter to a reader's work.
Flexible Reading: Email and RSS options let readers keep up with launches through the update channel they already use.
Use Cases:
Product Roadmapping: Founders can monitor possible model launches while deciding which capabilities to account for in an AI product roadmap.
Model Evaluation: Developers can follow new releases and check launch details when deciding which models to evaluate for an application.
Launch Monitoring: AI teams can watch for a model's move from anticipated release to reported availability before reviewing it for their stack.
Market Research: Founders and analysts can follow release activity across AI labs to keep track of changes in the frontier model landscape.
AI Newsletters: Writers covering AI can use the launch feed to spot announcements and follow up on reported release details.