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genpark-time-series-exponential-smoothing-forecaster-skill

Zero-dependency Holt linear exponential smoothing engine forecasting numerical trends with multi-step horizon and variance confidence bands.

Details

External ID
1391678381
Source
GITHUB
Company
—
Product
genpark-time-series-exponential-smoothing-forecaster-skill
Website domain
genpark.ai
Launched
Sept. 28, 2026
Cohort
—
Upvotes
7
Upvotes percentile
0.05976172175249808
Tags
ai-agent, anomaly-detection, data-science, linear-regression, mcp, mcp-server, model-context-protocol, pca-svd, statistics, time-series, zero-dependency
Fetched at
Oct. 1, 2026, 1:02 a.m.
Updated at
Oct. 1, 2026, 1:02 a.m.

Enrichment

Theme
3D graphics and physics simulation tools
Vertical
Horizontal
Function
Analytics & BI
Audience
Developer
AI stance
Not AI
Project type
Hobby / open-source project
Normalized one-liner
exponential smoothing forecasting engine for numerical time series
Manually corrected
False

Could you build this?

Yes Holt linear exponential smoothing consists of standard statistical formulas easily implemented in pure TypeScript or Python without external dependencies.

Competitors

Other products that read as similar to this one — 596 launches clear the similarity bar, closest 8 shown.

Attention rank: #411 of 597 (itself plus its competitors, highest first — normalized so YC and Product Hunt are compared fairly).

Launched 334 days after the earliest competitor.

Other launches for this product

Same idea, different domain

Nobody's really built a analytics & bi tool for Legal yet.