Open Source · MIT License

Company Research
in 2 Minutes

Auto-collect from 8 sources and evaluate
with a 100-point scorecard.

pip install hirekit

Sound familiar?

Spending half a day on company research and running out of time for the actual application

Before HireKit
  • 30 open tabs, endless copy-paste

    Manually browsing news, filings, job posts, reviews

  • 4–8 hours per company

    Half a day just to get a basic picture

  • Can't compare companies

    Information scattered in inconsistent formats

  • Decisions based on gut feeling

    No data-driven comparison, just subjective impressions

With HireKit
  • One command, fully automated

    8 sources collected in parallel, unified report generated

  • 2 minutes per company

    Done before your coffee is ready

  • Side-by-side comparisons

    Compare Kakao vs. Naver vs. Toss in one view

  • 100-point scorecard

    Data-driven scores to prioritize your applications

7 Commands, One Tool

Everything you need for your job search, in one place

hirekit analyze

Company Analysis

Analyze financials, strategy, tech, and culture at once. Data from 8 sources combined into a unified report.

hirekit score

Scorecard

100-point scores with S–D grades to prioritize applications. Compare 6 dimensions with clear numbers.

hirekit compare

Compare Companies

Put multiple companies side by side. Decide which one fits you better with actual numbers.

hirekit match

Resume Match

Compare your resume against the JD to score fit. Pinpoints your gaps and strengths precisely.

hirekit interview

Interview Prep

Generates likely interview questions and answer guides per company. Reflects the latest strategy and culture.

hirekit report

Save Report

Export results as Markdown, JSON, or HTML. Easy to revisit and share later.

hirekit batch

Batch Analysis

Analyze your entire application list at once. Understand multiple companies simultaneously and set priorities.

8 Sources, One Report

Collects domestic and global data in parallel so nothing gets missed

📰 Korea

Naver News

Real-time collection of the latest company news and issues

📋 Korea

DART Filings

Accurate financials from Korea's official corporate disclosure system

🔍 Global

Google News

Covers English-language news to add a global perspective

🌐 Global

Brave Search

Independent search engine for unbiased results

Global

Exa Search

AI-powered semantic search to find contextually relevant content

📊 Korea

Naver Search

Analyzes domestic sentiment including blogs, cafes, and Q&A

🗞️ Global

Credible News

Curated articles from trusted, high-credibility publications

💼 Korea

Job Postings

Read strategic direction from currently open positions

Scorecard Preview

A real analysis result for Kakao

terminal
$ hirekit score kakao

━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
  HireKit Scorecard — Kakao
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━

  Overall Score   78 / 100   [B]

  Financial Health  ██████████████████░░  87 / 100  [A]
  Growth Momentum  ████████████░░░░░░░░  62 / 100  [B]
  Tech Strength     ████████████████░░░░  82 / 100  [A]
  Culture           ███████████░░░░░░░░░  58 / 100  [B]
  Market Position   ███████████████░░░░░  78 / 100  [A]
  Future Outlook    ████████████░░░░░░░░  65 / 100  [B]

  ──────────────────────────────────────────────────
  Summary: Clear AI transition strategy, but heavy
           reliance on ad revenue limits near-term
           growth. KakaoBank/KakaoPay synergy is key.
  ──────────────────────────────────────────────────
  Sources: 7 · Collection time: 1m 43s

3 Steps to Get Started

Works with Python 3.9 or higher

1

Install

bash
pip install hirekit
2

Configure API Keys

~/.hirekit.env
OPENAI_API_KEY=sk-...
DART_API_KEY=...         # optional, for financials
BRAVE_API_KEY=...        # optional, enhanced search

Get a free DART API key at opendart.fss.or.kr

3

Run It

bash
hirekit analyze kakao
hirekit score kakao
hirekit compare kakao naver toss

Roadmap

Where HireKit is headed

Phase 1 Done

Core Analysis Engine

8-source collection, scorecard, CLI interface, DART integration

Phase 2 Done

Resume Matching & Interview Prep

JD match analysis, interview questions, comparison, batch processing

Phase 3 In Progress

Web Dashboard & Team Features

Visual dashboard, analysis history, team sharing, Slack integration