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Philotica

Probability forecasts with statistical models and AI Delphi

Details

External ID
1260305
Source
PH
Company
—
Product
Philotica
Website domain
producthunt.com
Launched
Sept. 25, 2026
Cohort
—
Upvotes
1
Upvotes percentile
0.30815693820825313
Tags
Productivity, Artificial Intelligence, Data & Analytics
Fetched at
Sept. 27, 2026, 1:01 a.m.
Updated at
Sept. 27, 2026, 1:01 a.m.

Description

Philotica Forecast Studio combines statistical models for US gas storage and Japan's typhoon approaches with custom probability forecasts. Its Agentic Delphi panel lets 2-3 AI evaluators assess evidence, challenge reasoning and revise estimates over two rounds. Track forecasts from initial judgment to scored outcomes. Conflict recurrence forecasting is in development. Philotica.com is the research hub connecting my ideas with the methods, tools and results of putting them into practice.

Enrichment

Theme
specialized AI models and agent reasoning tools
Vertical
Horizontal
Function
Analytics & BI
Audience
Prosumer
AI stance
AI-native
Project type
Commercial product
Normalized one-liner
probability forecasting engine using statistical models and ai
Manually corrected
False

Could you build this?

Partial While an agentic LLM Delphi panel is easy to orchestrate with prompt chains, domain-specific statistical forecasting models for US gas storage and typhoons require specialized meteorological and commodities modeling.

What it would actually take: To implement real commodity storage and typhoon forecasts, one needs ingestion pipelines for NOAA/EIA APIs, historical time-series datasets, and specialized numerical or Bayesian econometric models (e.g., in Python with Stan or statsmodels). The agentic Delphi loop can be handled via LangGraph or AutoGen, but the baseline statistical models require deep domain expertise in meteorology and energy trading.

Competitors

Other products that read as similar to this one — 17 launches clear the similarity bar, closest 8 shown.

Attention rank: #9 of 18 (itself plus its competitors, highest first — normalized so YC and Product Hunt are compared fairly).

Launched 211 days after the earliest competitor.

Other launches for this product

Same idea, different domain

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