Beam
Highly efficient agentic 501B parameter open model
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Beam is a sparse Mixture-of-Experts model with 501 billion total parameters, 23 billion active, built for coding, reasoning, and agentic workloads.
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PH · launched Oct 19, 2026 · 125 upvotes (top 1%)
- Horizontal
- Model & infra
- Developer
- AI-native
- Hobby / open-source project
- Open Source
- Artificial Intelligence
Similar launches
See all 214 similar launches →Could you build this?
No A 501B-parameter MoE model requires enormous pretraining compute, curated data at trillion-token scale, and specialized distributed training expertise. Vibe coding cannot substitute for any of that.
What it would actually take: Reproducing this requires a large MoE architecture with routing and expert parallelism, trained on trillions of tokens of curated code, reasoning, and agentic data. Training needs thousands of accelerators for weeks or months, plus post-training pipelines for RL and tool use. This is frontier-lab research and infrastructure work, far beyond a small team.
Competitors
Other products that read as similar to this one : 214 launches clear the similarity bar, closest 8 shown.
Attention rank: #3 of 215 (itself plus its competitors, highest first, normalized so YC and Product Hunt are compared fairly).
Launched 350 days after the earliest competitor.
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- Ailin¹ · ph · 2026-09-15 · 6 upvotes · similarity 0.40
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- python-ai-agent-ollama · github · 2026-10-19 · 27 upvotes · similarity 0.39