Decision Engine No pricing found

Snap

https://emnlmn.github.io/snap

40Priority score
Sources: Hacker NewsSignals: comments 0 · points 1 Discovered: 2026-10-01

What it is

What it does

A local decision engine that allows users to classify, rank, and decide about input in sub-second on their local machine.

Problem

To test locally some sensitive use cases when subscriptions to the existing service are closed.

Who pays

Individuals or businesses looking to test decision models locally.

Competition

The niche may be competitive as it involves local decision engines; however, details are not provided.

Weaknesses

Benchmarks show a 0.643 zero-shot accuracy score on zero-shot typed-decisions.

What could be built instead

Opportunity

Improving accuracy and intelligence of the decision engine.

Vertical niche

Yes, it could be a vertical SaaS for machine learning tools.

MVP

A basic local decision engine that supports classification and ranking.

Differentiation

Open weight model and local execution capabilities.

AI opportunity

AI creates value through the ability to classify and make decisions locally without generating text.

Score breakdown

Інструмент пріоритизації черги на ручну перевірку, НЕ прогноз прибутку.
Demand+0HN 1 балів, +0★/добу, джерел 1
Monetization+4pricing не знайдено
Competition+14the niche may be competitive as it involves local decision engines; however, details are n
Niche+12Yes, it could be a vertical SaaS for machine learning tools.
BuildDifficulty+10A basic local decision engine that supports classification and ranking.
AI/Automation+8AI creates value through the ability to classify and make decisions locally without genera
TrendPenalty-8107 схожих за 14 днів — натовп

Evidence

I've built a local decision engine drop-in replacement for the TypeSafe System One api
Snap supports 4 class of questions that let you classify, rank and decide about an input in sub-second on your local machine.
If you have a mac you can run brew install emnlmn/snap/snap
It doesn't generate text, it reads logits in a a single forward pass.
Even if the benchmarks show a 0.643 zero-shot accuracy score on zero-shot typed-decisions, snap1-2b it's 2b model, you can't expect high intelligence from it.
I'd like to share it with the community and would love to get feedback about the runtime and the training i've done with snap1.