Foundation models for agentic coding and long-horizon work
Poolside is a foundation model company bringing intelligence to everywhere work gets done. Their mission is to drive abundance for humanity by creating artificial general intelligence.
Open weights at the frontier! @Poolside released this week Laguna M.1, their most capable model to date, with 23B active params and a 256K context window, now Apache 2.0 on both checkpoints.
Run it on your own infra, evaluate it in your own harnesses, fine-tune it, and build on it directly.
“Foundation models for agentic coding and long-horizon work”
Laguna by Poolside launched on Product Hunt on June 21st, 2026 and earned 137 upvotes and 5 comments, placing #6 on the daily leaderboard. Poolside is a foundation model company bringing intelligence to everywhere work gets done. Their mission is to drive abundance for humanity by creating artificial general intelligence.
On the analytics side, Laguna by Poolside competes within Software Engineering, Developer Tools and Artificial Intelligence — topics that collectively have 1M followers on Product Hunt. The dashboard above tracks how Laguna by Poolside performed against the three products that launched closest to it on the same day.
Who hunted Laguna by Poolside?
Laguna by Poolside was hunted by fmerian. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
For a complete overview of Laguna by Poolside including community comment highlights and product details, visit the product overview.
fmerian
Open weights at the frontier! @Poolside released this week Laguna M.1, their most capable model to date, with 23B active params and a 256K context window, now Apache 2.0 on both checkpoints.
Run it on your own infra, evaluate it in your own harnesses, fine-tune it, and build on it directly.
H/O to founders @eisokant and @jasoncwarner. OSS ftw!