AI/ML●●Solid
An agentic loop for time-series forecasting using sktime and MCP
MCP proxy prevents context-window bloat better than naive LLM forecasting.
Big BrainDark Horse
silkpeak
101mo ago
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Forecasting my backyard weather with a 22M time-series model
by chrisdevs·May 17, 2026·4 points·4 comments
AI Analysis
●●SolidNiche GemBig Brain
Beating NWS forecasts with a 22M model on home sensor data is genuinely impressive.
Strengths
- •Direct comparison against National Weather Service forecasts with a live scoreboard.
- •Uses real hardware (Ecowitt GW3000) rather than synthetic or historical datasets.
- •Probabilistic forecasting approach adds nuance beyond simple temperature prediction.
Weaknesses
- •Single-sensor data limits generalizability compared to regional radar networks.
- •Unclear if the model architecture offers novelty beyond standard time-series transformers.
Category
Target Audience
Data scientists, weather enthusiasts, home automation users
Similar To
NeuralProphet · GluonTS · WeatherBench
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