# strot-ai/STROT-Compiler > STROT compiles a natural-language decision intent into a frozen local Python artifact that classifies, scores, or routes records without calling an LLM at runtime. It targets teams wanting cheap, deterministic, type-safe decisions on their own hardware with calibrated confidence and abstention. - Magnitude: 2.7 out of 10 — Early signal - Stars: 40 total · +5 stars measured 2026-10-20, 00:25–18:59 UTC, ≈ 7 by evening - Star trust: star growth looks organic - Category: Language models · Language: Python · License: MIT · Created: 2026-10-11 · Last push: 2026-10-20 - GitHub: https://github.com/strot-ai/STROT-Compiler · Page: https://gitnova.dev/en/r/strot-ai/STROT-Compiler ## Useful for - Route incoming support tickets into fixed workflow buckets without per-record LLM calls - Score or classify a stream of records offline using a precompiled local model - Abstain on low-confidence records instead of guessing when decisions must be reliable ## Why it’s here - Star-counter measurements on 2026-10-20 (UTC), 00:25–18:59: 35 → 40 stars (+5). This is the change over that interval. - Estimated end-of-day forecast: about +7 stars, using observed gains and the previous day. - The repository is 9 days old and already has 40 stars. With less than two weeks of history, there's no usual pace to compare the spike against yet. - Hacker News: “Show HN: Strot – Compile an LLM's intent once, run decisions locally forever” — 23 points, 1 day ago. ## Star trust Star growth looks organic. Star-trust labels are heuristics based on the repository’s behavior, not a check of every stargazer. ## Numbers - Forks: 4 - Issues and pull requests: 1 - Watchers: 0 - Average over the last week: 6 per day - Usual pace: too little history (under two weeks) - Stars in the last hour (measured): 0 - Latest release: v0.11.1 (2026-10-18) ## Stars per day, last 10 days (oldest → newest, today is partial) 2026-10-11 … 2026-10-20: 0, 0, 0, 0, 0, 0, 0, 23, 15, 5 ## Magnitude by day, last 2 days 10-19 3.5, 10-20 3.1 ## Hacker News - Show HN: Strot – Compile an LLM's intent once, run decisions locally forever — 23 points, 13 comments: https://news.ycombinator.com/item?id=50148396 ## Spotted in now - Spotted on Hacker News ## Similar by description 1. **deepopen-com/deepopen** — 0.2 · Quiet · Language models · Python · +0 stars measured 2026-10-20, 00:33–19:06 UTC, ≈ 0 by evening Open-source non-autoregressive System 1 decision engine for typed decisions: returns typed answers (choice, score, noul) in a single forward pass across 100+ languages without generating text. Suited for classification, routing and… Full card: https://gitnova.dev/en/r/deepopen-com/deepopen.md 2. **NandhaKishorM/vegaml** — 1.3 · Cooling · Language models · Python · +2 stars measured 2026-10-20, 00:30–19:04 UTC, ≈ 3 by evening Library for typed decisions from a frozen language model and a small physics engine: returns a choice, score, or probability with calibration, conformal sets, and an abstain flag. Supports 73k context and images, runs locally. Full card: https://gitnova.dev/en/r/NandhaKishorM/vegaml.md 3. **NandhaKishorM/laya** — 3.3 · Steady · AI agents · Python · +130 stars measured 2026-10-20, 00:25–18:57 UTC, ≈ 163 by evening Laya is a non-autoregressive decision engine that answers typed questions (choice, score, noul) over any state (text, email, ticket, JSON) in a single forward pass (~35 ms on GPU) with calibrated probabilities. Full card: https://gitnova.dev/en/r/NandhaKishorM/laya.md --- Magnitude (0–10) measures how fast and how unusually interest in a repository is growing right now. It is not a quality score. Days are UTC. “So far today” is a fact; “expected by the end of the day” is a forecast. Summaries and use cases are written by an LLM (DeepSeek V4.1 Flash) from the README and may be inaccurate: verify specific claims (benchmarks, speed, hardware) in the repository itself. Data as of 2026-10-20 19:07 UTC, updated every 30 minutes.