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Nimble

SOTA Decision Model

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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

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PH · launched Oct 14, 2026 · 80 upvotes (top 2%)

Similar launches

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Could you build this?

No The product is a frontier decision model that claims to beat other models on public benchmarks, so a real version requires large-scale model training, proprietary data and research expertise that vibe coding cannot provide.

What it would actually take: Reproducing this means pretraining or post-training a competitive model, which needs large GPU clusters, curated training data for decision-making tasks, and ML research teams for architecture, RL or fine-tuning, and evaluation. None of this is achievable through app-level vibe coding.

Competitors

Other products that read as similar to this one : 265 launches clear the similarity bar, closest 8 shown.

Attention rank: #22 of 266 (itself plus its competitors, highest first, normalized so YC and Product Hunt are compared fairly).

Launched 343 days after the earliest competitor.

Other launches for this product