Today, we are announcing Nimble-v4 and Nimble-v4-max which are pushing the frontier of decision models, outperforming Jev and other variants. On Decision Index public scores, our nimble-v4-max model and nimble-v4 models score +10.5 and +5.74 against Jev 1.13, making nimble-v4-max a top performing model. Beyond benchmarks, we have done a lot of internal evals, and see big improvements: 43% fewer mistakes than Jev, +50pp on model routing decisions, and so on. Try for free: console.bespokelabs.ai
We released Nimble-v1 the same week as Jev, which has spurred a lot of activity in the community. For the past few weeks, we have been making meaningful advancements in data curation and modeling techniques, and put our platform to work, resulting in SOTA decision models.
@pratikd15 impressive to see Nimble pushing the boundaries of decision models, How does it compare with other leading models in real-world tasks ?
Congrats on the launch! Curious about confidence calibration, are the output probabilities calibrated against empirical accuracy, or are they derived directly from softmax scores? Any plans to support temperature scaling?
Can I set my own threshold for when a person should step in? Good luck today !!
About Nimble on Product Hunt
“SOTA Decision Model”
Nimble launched on Product Hunt on October 14th, 2026 and earned 84 upvotes and 11 comments, placing #14 on the daily leaderboard. Today, we are announcing Nimble-v4 and Nimble-v4-max which are pushing the frontier of decision models, outperforming Jev and other variants. On Decision Index public scores, our nimble-v4-max model and nimble-v4 models score +10.5 and +5.74 against Jev 1.13, making nimble-v4-max a top performing model. Beyond benchmarks, we have done a lot of internal evals, and see big improvements: 43% fewer mistakes than Jev, +50pp on model routing decisions, and so on. Try for free: console.bespokelabs.ai
Nimble was featured in Artificial Intelligence (481.1k followers) and Google Cloud Run (4 followers) on Product Hunt. Together, these topics include over 129.2k products, making this a competitive space to launch in.
Who hunted Nimble?
Nimble was hunted by Pratik Dalal. 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.
Want to see how Nimble stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Pratik Dalal
We released Nimble-v1 the same week as Jev, which has spurred a lot of activity in the community. For the past few weeks, we have been making meaningful advancements in data curation and modeling techniques, and put our platform to work, resulting in SOTA decision models.
Try it for free: console.bespokelabs.ai
We’d love to hear which decision in your stack you’d hand to Nimble first, and where it falls short. We’ll be here all day answering questions. 🙏