A Delightfully Diminutive Lisp. Implemented in < 1 KB of JavaScript with JSON source, macros, tail-calls, JS interop, error-handling, and more.
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Updated
Aug 15, 2024 - JavaScript
A Delightfully Diminutive Lisp. Implemented in < 1 KB of JavaScript with JSON source, macros, tail-calls, JS interop, error-handling, and more.
Supercharge your Python with parts of Lisp and Haskell. Py3.10-3.14.
A simple Lisp written in Go
Case study of synchronous FPGA signaling by adjusting the output timing
javascript lib for tail call optimization
implementation of Y combinator in JavaScript for tail call optimization
The goal of this research is to understand more clearly the lifecycle costs of supplier selection using methods of artificial intelligence (AI) with a total cost of ownership (TCO) model.
AI-powered business decision support for network engineers. Build Total Cost of Ownership models, compare vendors with live pricing research, and generate stakeholder-ready PDF reports. Self-hostable, bring-your-own Anthropic key. Every output is advisory — a recommendation for human review, never an automated action.
A babel plugin for performing tail call optimization in recursive functions
On Premises to Azure Cloud Migration Estimate
Smart Total Cost of Ownership calculator with AI-powered analysis
Analista de viabilidade de carros usados — agente LangChain (FastAPI + Llama via OpenRouter) com RAG no Supabase pgvector, frontend React/Vite. Migracao didatica de webhooks n8n pra Python.
A Tail Call Optimisation Substitute for Java
tcocaz 💸 : #total_cost_of_ownership_calculator #migration_strategy #mssql_server
Hardware-procurement & asset-lifecycle SCM with an AI decision layer: should-cost, TCO/TSCMC, and an LLM copilot that advises while deterministic code decides — proven by a 29-scenario agent-safety harness. Live demo + analytics cockpit.
🦪 lazy seq, memoize, tail call optimization , pipe, apply, cell, ... 👾
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