Runtime Complexity Estimator

TimeComplexity.ai evaluates runtime complexity of code snippets in Python, Java, C++, JavaScript, etc., without needing full program structure. It outputs Big‑O notation, detailed reasoning, and a timestamp, aiding code reviews, education, and performance tuning.

Typo offers real‑time visibility into development lifecycles, tracking DORA metrics, cycle time, sprint predictability, and productivity. AI code reviews reduce review time and bugs. Integrated natively with CI/CD and version control, it supports secure, enterprise‑scale, data‑driven insights.

LLM Price Check aggregates LLM API models and provider details into sortable tables and a cost calculator, showing context windows, input/output cost metrics, and quality indicators to help developers and teams evaluate cost–performance tradeoffs.

LLM Pricing Comparison lets developers and businesses compare token costs, context lengths, and modalities for major large‑language models. An interactive calculator estimates application expenses based on input/output token volumes, helping teams budget AI workloads accurately.

AI Studio converts natural‑language prompts into working code across C++, Python, JavaScript, SQL, CSS, HTML, and regex. It translates snippets, adds typing hints, estimates complexity, offers git/command lookup, and provides plain‑English explanations, supporting collaboration and quick prototyping

MERN.AI delivers AI‑generated cost and time estimates for MERN stack apps, pairing clients with project managers and in‑house engineers, designers, and architects. Weekly progress updates and an early output link are provided, with full client IP ownership.

Coderbuds automates code‑review workflows, nudging reviewers, suggesting PR splits, and diagnosing deployment failures. It balances workloads, flags stale or oversized changes, shares knowledge, and records DORA and SPACE metrics without storing code, boosting lead time and quality for small teams.

little-coder is a Pi-based coding agent for running 5–25 GB local LLMs via llama.cpp or Ollama, offering Python/Node CLIs and TypeScript extensions, reproducible benchmarks, build/serve guides, and tools for local code generation, on-device development, and evaluation.

DrillerDB Geology Estimator is a tool that analyzes nearby well logs to predict subsurface layers and optimal drilling depths. It generates detailed geological reports with visual diagrams in under 60 seconds.