awesome-repositories.com
Blog
awesome-repositories.com

Descubre los mejores repositorios open-source con nuestra búsqueda potenciada por IA.

ExplorarBúsquedas curadasAlternativas open-sourceSoftware autohospedableBlogMapa del sitio
ProyectoAcerca deCómo clasificamosPrensaServidor MCP
Aviso legalPrivacidadTérminos
© 2026 Bringes Technology SRL·VAT RO45896025·hello@awesome-repositories.com
·
ibttf avatar

ibttf/interview-coder

0
View on GitHub↗
4,438 estrellas·712 forks·3 vistaswww.interviewcoder.co↗

Interview Coder

Este proyecto es una suite de herramientas centrada en un asistente de entrevistas impulsado por IA, un constructor de currículums profesional y una base de datos de salarios de ingeniería. La aplicación principal proporciona transcripción de audio en tiempo real y genera soluciones de código y diseño de sistemas durante entrevistas técnicas.

El software está diseñado para el sigilo y la evasión de detección. Utiliza una superposición de pantalla invisible que evita el software de captura y compartición de pantalla, permitiendo al usuario ver información sin que aparezca en pantallas compartidas. Para evitar aún más la detección, el sistema implementa una operación solo por teclado para eliminar movimientos visibles del ratón y emplea el enmascaramiento de nombres de procesos para ocultar la aplicación de los gestores de tareas y monitores de actividad del sistema.

Las capacidades adicionales incluyen una biblioteca de problemas de codificación resueltos organizados por algoritmo y estructura de datos, así como herramientas de inteligencia profesional para comparar compensaciones y comparar ofertas de trabajo con datos de mercado.

El acceso del usuario se gestiona mediante el registro de cuenta y la autenticación de identidad por correo electrónico o proveedores de terceros.

Features

  • Real-Time Interview Copilots - Functions as an AI assistant that analyzes live audio to provide real-time code and system design solutions during interviews.
  • AI-Powered Code Generation - Uses large language models to generate algorithmic solutions and system design responses based on live transcription.
  • Real-Time Transcription - Provides instantaneous conversion of live interview audio into text transcripts for real-time AI analysis.
  • Real-Time Audio Transcribers - Converts live interview audio into text in real time to facilitate AI-driven assistance.
  • Keyboard-Driven Interfaces - Eliminates visible mouse movements by executing all application functions via keyboard shortcuts.
  • Stealth Interface Shortcuts - Implements all application functions via shortcuts to eliminate visible mouse movements during live sessions.
  • Salary Benchmarking Databases - Includes a database for benchmarking engineering compensation and comparing job offers against market data.
  • Audio Processing - Implements audio processing to capture and analyze spoken conversation from live interview sessions.
  • Invisible Overlays - Implements a transparent desktop layer that remains invisible during screen shares and recordings.
  • Interview Answer Assistants - Integrates with video conferencing and assessment tools to provide real-time answer suggestions to the interviewee.
  • Screen Share Evasion - Integrates click-through overlays and keyboard-only controls to remain invisible during screen shares.
  • Screen Capture Protections - Uses native windowing flags to prevent the AI assistant interface from appearing in screen shares or recordings.
  • System Process Hiding - Conceals the application's presence from system task managers and activity monitors to avoid detection.
  • Screen-Sharing Concealment - Prevents the application window from appearing in screen-capture or sharing software used during interviews.
  • Click-Through Controls - Renders a transparent overlay that allows mouse events to pass through to the underlying interview platforms.
  • Interview Pattern Solutions - Offers a library of solved coding problems based on industry-standard interview patterns.
  • Market Research Strategies - Provides market research strategies to gather salary data for informing employment negotiations.
  • Professional Resume Generators - Automates the creation of professional software engineering resumes by organizing experience, projects, and skills.
  • Resume Builders - Ships a dedicated platform for creating and managing professional engineering resumes.
  • Interview-Focused Problem Sets - Provides curated collections of algorithm and data structure problems specifically for technical interview prep.
  • Offer Evaluation Frameworks - Provides a framework for analyzing multiple job offers side-by-side against industry market data.

Historial de estrellas

Gráfico del historial de estrellas de ibttf/interview-coderGráfico del historial de estrellas de ibttf/interview-coder

Búsqueda con IA

Explora más repositorios increíbles

Describe lo que necesitas en lenguaje sencillo: la IA clasifica miles de proyectos open-source curados por relevancia.

Start searching with AI

Alternativas open-source a Interview Coder

Proyectos open-source similares, clasificados según cuántas características comparten con Interview Coder.
  • sohzm/cheating-daddyAvatar de sohzm

    sohzm/cheating-daddy

    5,387Ver en GitHub↗

    This project is an AI meeting assistant and interview copilot that monitors system audio and screen content to generate real-time responses during video calls. It functions as a system audio transcription tool and a context-aware prompt manager, injecting user documents and behavioral profiles into large language model prompts to tailor AI outputs. The system features a stealth screen overlay, utilizing a transparent window that displays information on top of other applications while remaining invisible to screen-sharing software and proctoring tools. It employs a process-hiding mechanism to

    JavaScript
    Ver en GitHub↗5,387
  • leetcode-mafia/cheetahAvatar de leetcode-mafia

    leetcode-mafia/cheetah

    4,262Ver en GitHub↗

    Cheetah is an LLM technical interview assistant composed of a native macOS application and a browser extension. It provides real-time coding and answering suggestions during technical interviews by combining live audio transcription with web-based context extraction. The system functions as a real-time interview coach that converts spoken questions into text using on-device speech-to-text processing. It uses a browser-integrated DOM scraper to extract live code and console logs, allowing the AI to analyze the current coding state and generate technical solutions based on the specific environm

    Swift
    Ver en GitHub↗4,262
  • volatiletech/authbossAvatar de volatiletech

    volatiletech/authboss

    4,189Ver en GitHub↗

    Authboss is a modular authentication framework designed to manage user identity and account orchestration. It provides a comprehensive system for handling user registration, email verification, and the full lifecycle of user profiles. The framework distinguishes itself through a focused suite of security and identity tools, including multi-factor authentication via time-based passwords and SMS, and identity integration with external providers using OAuth1 and OAuth2 protocols. It also includes a dedicated account security manager that implements brute-force protection through credential-based

    Go
    Ver en GitHub↗4,189
  • cmusphinx/pocketsphinxAvatar de cmusphinx

    cmusphinx/pocketsphinx

    4,276Ver en GitHub↗

    PocketSphinx is an offline speech recognition engine that converts raw audio from files or live microphone streams into written text without requiring a network connection. It functions as a speech-to-text library, a real-time transcription engine, and a voice command processor, capable of detecting and transcribing spoken commands from continuous audio streams with configurable acoustic and language models. The engine uses weighted finite-state transducers to represent acoustic, phonetic, and language models as a single search graph for efficient decoding. It employs fixed-point acoustic mod

    Ccpythonspeech-recognition
    Ver en GitHub↗4,276
Ver las 30 alternativas a Interview Coder→

Preguntas frecuentes

¿Qué hace ibttf/interview-coder?

Este proyecto es una suite de herramientas centrada en un asistente de entrevistas impulsado por IA, un constructor de currículums profesional y una base de datos de salarios de ingeniería. La aplicación principal proporciona transcripción de audio en tiempo real y genera soluciones de código y diseño de sistemas durante entrevistas técnicas.

¿Cuáles son las características principales de ibttf/interview-coder?

Las características principales de ibttf/interview-coder son: Real-Time Interview Copilots, AI-Powered Code Generation, Real-Time Transcription, Real-Time Audio Transcribers, Keyboard-Driven Interfaces, Stealth Interface Shortcuts, Salary Benchmarking Databases, Audio Processing.

¿Qué alternativas de código abierto existen para ibttf/interview-coder?

Las alternativas de código abierto para ibttf/interview-coder incluyen: sohzm/cheating-daddy — This project is an AI meeting assistant and interview copilot that monitors system audio and screen content to… leetcode-mafia/cheetah — Cheetah is an LLM technical interview assistant composed of a native macOS application and a browser extension. It… volatiletech/authboss — Authboss is a modular authentication framework designed to manage user identity and account orchestration. It provides… cmusphinx/pocketsphinx — PocketSphinx is an offline speech recognition engine that converts raw audio from files or live microphone streams… thewh1teagle/vibe — Vibe is a cross-platform transcription tool that converts spoken audio into text by running Whisper neural models… const-me/whisper — Whisper is a high-performance speech-to-text inference engine that uses graphics hardware shaders to accelerate the…