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Naive-N0.5-Flash

Naive-N0.5-Flash is an open-weight 309B MoE model with 15.5B active parameters, built for coding and AI R&D.

Details

External ID
1390999238
Source
GITHUB
Company
—
Product
Naive-N0.5-Flash
Website domain
naive.ai
Launched
Sept. 27, 2026
Cohort
—
Upvotes
136
Upvotes percentile
0.9448501152959262
Tags
—
Fetched at
Sept. 30, 2026, 5:01 p.m.
Updated at
Sept. 30, 2026, 5:01 p.m.

Enrichment

Theme
multimodal AI models and agents
Vertical
Horizontal
Function
Model & infra
Audience
Developer
AI stance
AI-native
Project type
Hobby / open-source project
Normalized one-liner
open-weight mixture-of-experts model for coding and research
Manually corrected
False

Could you build this?

No Training a 309-billion parameter Mixture-of-Experts (MoE) LLM requires millions of dollars in compute, specialized distributed training infrastructure, massive curated datasets, and deep machine learning research expertise.

What it would actually take: Training a 309B MoE model requires clusters of hundreds or thousands of high-end GPUs (e.g., H100s), frameworks like Megatron-LM or DeepSpeed, and specialized expertise in 3D parallelism (tensor, pipeline, and expert parallelism). The hard parts are compute resource management, stability at scale, custom synthetic dataset generation for coding, and routing optimization. A team of elite ML research engineers and massive cloud compute budgets are essential.

Competitors

Other products that read as similar to this one — 27 launches clear the similarity bar, closest 8 shown.

Attention rank: #3 of 28 (itself plus its competitors, highest first — normalized so YC and Product Hunt are compared fairly).

Launched 184 days after the earliest competitor.

Other launches for this product

Same idea, different domain

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