yug
Yug: a foundation model for zero-shot probabilistic time-series forecasting
This is 1 of 223 launches in llm inference and optimization engines — see how it stacks up on momentum and crowding →
529 other launches read as similar to this one →
Details
- External ID
- 1399587302
- Source
- GITHUB
- Company
- —
- Product
- yug
- Website domain
- github.com
- Launched
- Oct. 1, 2026
- Cohort
- —
- Upvotes
- 8
- Upvotes percentile
- 0.042292490118577074
- Tags
- forecasting, forecasting-models, foundation-models, time-series, time-series-foundation-models, timeseries-forecasting, tsfm
- Fetched at
- Oct. 5, 2026, 5:03 p.m.
- Updated at
- Oct. 5, 2026, 5:03 p.m.
Enrichment
- Niche
- llm inference and optimization engines
- Vertical
- Horizontal
- Function
- Model & infra
- Audience
- Developer
- AI stance
- AI-native
- Project type
- Hobby / open-source project
- Normalized one-liner
- foundation model for zero-shot time-series forecasting
- Manually corrected
- False
Could you build this?
No Training and building a foundation model for zero-shot probabilistic time-series forecasting requires novel machine learning research and massive compute.
What it would actually take: Requires curating massive, multi-domain time-series datasets and designing a novel probabilistic transformer or diffusion architecture for zero-shot forecasting. Training requires substantial distributed GPU compute clusters (PyTorch, DeepSpeed) and domain expertise in statistical probability theory, distribution modeling, and deep learning research. Vibe coding cannot generate foundation model weights or the ML infrastructure needed to train them.
Competitors
Other products that read as similar to this one — 529 launches clear the similarity bar, closest 8 shown.
Attention rank: #526 of 530 (itself plus its competitors, highest first — normalized so YC and Product Hunt are compared fairly).
Launched 337 days after the earliest competitor.
- genpark-time-series-exponential-smoothing-forecaster-skill · github · 2026-09-28 · 7 upvotes · similarity 0.64
- KiT · github · 2026-09-28 · 11 upvotes · similarity 0.61
- jev_stock · github · 2026-09-17 · 12 upvotes · similarity 0.54
- JevGym · github · 2026-09-22 · 27 upvotes · similarity 0.54
- Latent-Foresight · github · 2026-10-01 · 14 upvotes · similarity 0.50
- Dragoneye: Production video detection models in <5 minutes · yc · 2025-11-25 · 11 upvotes · similarity 0.50
- Sundial · hn · 2026-03-31 · 66 upvotes · similarity 0.49
- djev · github · 2026-09-21 · 84 upvotes · similarity 0.49
Other launches for this product
- No other launches for this product.
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