Chintu Ji

What it does

Chintu is an AI-powered assistant built for interviews, assessments, and technical evaluations. It helps users handle coding rounds, MCQs, and problem-solving tasks faster with instant guidance. Designed for speed and simplicity, Chintu supports a wide range of use cases including interviews, online tests, and technical screening.

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  Chikka2025 · ▲444

  Uncover user insights with intelligent AI voice interviewer

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  FAANG2024 · ▲517

  Build your custom AI interviewer "Buddy"

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  CekuraMar 2026 · cekura.ai · ▲431

  Observe and analyze your voice and chat AI agents

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  CekuraJul 2026 · cekura.ai · ▲369

  The self-improvement loop for voice agents

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  Mock Interviews by Talently.ai2024 · ▲345

  Prepare for any job interview with our AI interviewer

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  Interview Hero2023 · ▲319

  Your AI-powered interview co-pilot with feedback superpowers

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  Clipto MCP▲640

  Let agents source clips from terabytes of your local video

  Work · 19d ago · clipto.com

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  HyNote for Mac▲383

  Free local transcription that is 100% Private

  Work · 18d ago · hynote.ai

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  VoiceOS App Store▲330

  The app store for voice native apps that lives in your notch

  Work · 29d ago · voiceos.com

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  Scrimba Explain▲325

  Ask any question, get a video back instantly

  Work · 25d ago · scrimba.com

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  CleanShot 5.0 with Studio Mode▲278

  Mac-native app for screenshots, recordings and collaboration

  Work · 5d ago · cleanshot.com

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  Brew ▲905

  Like Claude design for email marketing

  AI · May 2026 · brew.new

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  Kilo Code for VS Code▲897

  Parallel agents, diff reviewer, and multi-model comparisons

  Dev tools · May 2026 · kilo.ai

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  StoreClaw▲805

  Grow your store profits with agents that know how to sell

  AI · May 2026 · storeclaw.ai

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  PollyReach▲796

  Give your agent a real number and voice to make calls.

  AI · May 2026 · pollyreach.ai

• NW
  Needle: We Distilled Gemini Tool Calling into a 26M Model▲776

  Hey HN, Henry here from Cactus. We open-sourced Needle, a 26M parameter function-calling (tool use) model. It runs at 6000 tok/s prefill and 1200 tok/s decode on consumer devices. We were always frustrated by the little effort made towards building agentic models that run on budget phones, so we conducted investigations that led to an observation: agentic experiences are built upon tool calling, and massive models are overkill for it. Tool calling is fundamentally retrieval-and-assembly (match query to tool name, extract argument values, emit JSON), not reasoning. Cross-attention…

  Life & fun · May 2026 · github.com

• FM
  Files.md – Open-source alternative to Obsidian▲730

  Dev tools · May 2026 · github.com