The open-source last30days-skill release tracker has gained a Digg AI 1000 data source and a new HTML export mode, letting AI researchers and analysts generate shareable, print-friendly research briefs without any Twitter authentication.
The last30days-skill project, a GitHub-hosted tool for tracking AI-related releases and news over a rolling 30-day window, has published version 3.2.0. The release introduces a Digg AI 1000 source that is auto-enabled whenever the digg-pp-cli command-line tool is present on the system PATH. The new source ingests clustered story summaries from the Digg AI 1000 leaderboard and surfaces attributable X (formerly Twitter) posts directly within generated briefs, formatting them as [@handle](xUrl) links sourced through Digg's read-only API endpoints.
A second major addition in this release is the --emit=html flag, which outputs shareable, print-friendly HTML research briefs instead of the tool's default format. This addresses a common workflow gap for researchers who need to distribute summaries beyond the terminal. The Digg integration carries no X authentication requirement; inline quotes are pulled through Digg's read-only endpoints, which simplifies setup for teams that want attributed social context in their briefings.
For AI researchers, analysts, and builders monitoring the fast-moving open-source AI release landscape, last30days-skill v3.2.0 makes it straightforward to include Digg-curated social signals alongside structured release data, and to export the combined output as a self-contained HTML document for sharing or archiving. The auto-enablement of the Digg source—triggered simply by having digg-pp-cli on PATH—reduces friction for teams already using Digg's tooling.