tech-stack

A portable project-planning skill for Codex, Claude Code, pi, Hermes, and Agent Skills-compatible harnesses. Evidence before build advice.

Shubham Bhati — Backend Engineer (Java, Spring Boot, Microservices, AWS) at AlignBits LLC. 3+ years. Gurgaon, India. Open to Work.

Lost in a new codebase? DevLens scans your Python project and scores every file from 0 to 100 based on how hard it is to understand. It uses code complexity metrics, git history signals, and optional AI to pinpoint the files your team will struggle with. It also shows project statistics (languages, lines, directories) and summarizes files with AI.

A comprehensive, structured AI tech stack directory covering the complete ecosystem from foundation models to end-user applications. Helping developers, product managers, and decision-makers quickly navigate AI technology choices and the full landscape. | 一份全面、结构化的 AI 技术栈目录，涵盖从基础大模型到终端应用的完整生态。帮助开发者、产品经理和决策者快速了解 AI 领域的技术选型与全景格局。

Detect every technology behind any website — frameworks, CMS, analytics, CDNs, and more. CLI tool powered by the Technology Detection API.

Tech Stack for microservices

WebScanner is a Python TUI application for gathering website information through DNS lookups, WHOIS scans, server host lookups, and more, without external APIs.

Detect tech stack and surface production-readiness issues from any URL or GitHub repo

Scans GitHub repos for languages and frameworks — Claude Code skill

Should you actually install that? A plain-English fit check for any repo, package, API or MCP server, with sources.

Headless-browser web technology detection (Wappalyzer-level) — find CMS, JS frameworks, analytics, CDN and more from the CLI. Cross-platform, bulk-ready JSONL for bug bounty pipelines.

A FastAPI-based API for managing vector database operations like creating indexes, upserting data, and similarity searches. Built with Python 3.12, it supports Pinecone as the vector database provider and features metadata filtering for precise search results.

The Tech Stack Analyzer is a simple web application built with Flask that empowers users to analyze their technology stack. It identifies technologies, assesses their characteristics, and provides data-driven recommendations for alternatives based on comprehensive analysis results.

🛡️ Community-curated, security-audited technology stacks with verified version compatibility. No more guessing which dependencies are safe.

Identify the SaaS vendors a company uses from its public DNS records — TXT verification tokens, MX, NS, SPF, DKIM, DMARC, CAA and CNAME fingerprinting, with a YAML-authored vendor catalog and SQLite-backed adoption history. Source-available, all rights reserved.

Security headers, tech stack, and SEO score for 990 real top websites -- generated live with an open-source extraction API. No fabricated data.

Runnable Python examples: find Shopify+Klaviyo stores (Wappalyzer/BuiltWith alternative), Polymarket odds to CSV, Airbnb city data, remote jobs feed

SubSweep Studio - OSINT Subdomain Enumerator, Tech Profiler, Lead Quality Scoring & MCP Server (design influenced by Material 3)

Stack-Scout is an automated codebase analysis tool that detects programming languages, frameworks, build systems, and DevOps tooling used in a project. It scans repositories, dependency files, and configuration artifacts to produce clear, auditable reports for developers, teams, and CI pipelines.

Instantly understand any GitHub repository: tech stack, structure, complexity, and key files. One command, complete analysis.