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gutsy

Local decision model with calibrated probabilities: send a state and yes/no, choice or score questions, get a probability for every option. 0.8B GGUF on CPU, Jev-style API.

This is 1 of 255 launches in decision model runtimes and tooling — see how it stacks up on momentum and crowding →

123 other launches read as similar to this one →

Details

External ID
1400272965
Source
GITHUB
Company
—
Product
gutsy
Website domain
github.com
Launched
Oct. 1, 2026
Cohort
—
Upvotes
13
Upvotes percentile
0.5182926829268293
Tags
agents, classifier, content-moderation, cpu-inference, decision-model, gguf, intent-classification, jev, jev-compatible, llama-cpp, llm, llm-judge, local-llm, python, qwen, routing, small-language-models, tool-selection
Fetched at
Oct. 2, 2026, 1:02 a.m.
Updated at
Oct. 2, 2026, 1:02 a.m.

Enrichment

Theme
decision model runtimes and tooling
Vertical
Horizontal
Function
Model & infra
Audience
Developer
AI stance
AI-native
Project type
Hobby / open-source project
Normalized one-liner
local probability prediction model for decision making
Manually corrected
False

Could you build this?

Partial The wrapper API and GGUF inference runtime are simple to implement, but developing a calibrated 0.8B parameter decision model requires custom dataset collection, probability calibration, and specialized model fine-tuning.

What it would actually take: The runtime uses llama.cpp or a similar lightweight inference engine wrapped in a Python/FastAPI or Go microservice. However, training the underlying 0.8B model requires curating a diverse dataset of state-question-answer tuples, fine-tuning a small base LLM, and applying calibration techniques (like Platt scaling, isotonic regression, or temperature scaling) to ensure output logit-derived probabilities match actual empirical accuracy.

Competitors

Other products that read as similar to this one — 123 launches clear the similarity bar, closest 8 shown.

Attention rank: #85 of 124 (itself plus its competitors, highest first — normalized so YC and Product Hunt are compared fairly).

Launched 178 days after the earliest competitor.

Other launches for this product

Same idea, different domain

Nobody's really built a model & infra tool for Fintech yet.