# Kail-Fu/InterviewOS

Replace coding puzzles with real-work simulations.

Repository: https://github.com/Kail-Fu/InterviewOS
Canonical: https://ross.abutalabs.com/products/interviewos
Language: Python
License: MIT
License Family: permissive
Last push: 2026-08-26T04:36:12+00:00

## Health v2 (maintenance only)
Score: 60/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 99, release rhythm 35, longevity 14
- inputs: {"age_days": 196, "days_push": 7, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1907, forks 148 (observed 2026-08-28T04:05:52.577284+00:00)

## What it is
InterviewOS is a self-hosted platform for running job-relevant technical assessments instead of algorithm puzzles. It records candidates' full workflows as they complete realistic assignments and generates structured evaluation reports for reviewers.

## Use cases
- run realistic coding assessments for hiring candidates
- replace leetcode-style interviews with real-work simulations
- record and review a candidate's full problem-solving workflow
- generate structured evaluation reports for interview calibration
- evaluate how candidates debug, use AI tools, and make tradeoffs
- self-host a technical interview platform with Docker

## When to choose
- your team wants job-relevant, evidence-rich technical hiring instead of puzzle interviews
- you need workflow recordings plus structured reports for reviewer calibration
- you want a self-hosted, MIT-licensed assessment platform you control

## When to avoid
- you only need quick algorithmic screening puzzles or MCQ tests
- you want a fully managed SaaS with no Docker/self-hosting overhead
- you need proctored exams for non-technical roles

## Facets
- artifact type: application
- maturity: active
- function: testing, analytics, developer-tools, self-hosted
- domain: hr, developer-tools
- platform: self-hosted, python
- tags: technical-hiring, candidate-assessment, workflow-recording, interview-platform, evaluation-reports, recruiting, automation, docker, web-server

## Member repositories
- Kail-Fu/InterviewOS (main) score 60

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:05:52.577284+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T03:11:14.627613+00:00, confidence not recorded.
  - readme: https://github.com/Kail-Fu/InterviewOS (fetched 2026-08-28T04:05:52.577284+00:00, sha 03e7b70fa582)
- Data as of 2026-08-30T08:39:29.467469+00:00.