# AnnaSuSu/TechSpar

一个持续进化的面试训练系统。在线体验地址：https://techspar.cn

Repository: https://github.com/AnnaSuSu/TechSpar
Canonical: https://ross.abutalabs.com/products/techspar
Homepage: https://ansusu.gitbook.io/techspar
Language: TypeScript
License: AGPL-3.0
License Family: copyleft
Topics: ai-interview, long-term-memory, interview-coaching, interview-preparation, interview-training, mock-interviews, technical-interview, mem0
Last push: 2026-08-29T05:53:05+00:00

## Health v2 (maintenance only)
Score: 82/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 100, release rhythm 98, longevity 12
- inputs: {"age_days": 170, "days_push": 4, "days_rel": 13, "gap_med": 0, "n_releases_24m": 2}
- flags: young
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1055, forks 125 (observed 2026-09-01T02:13:54.134800+00:00)

## What it is
TechSpar is an open-source AI-powered technical interview preparation application that combines targeted training, resume-based mock interviews, JD-specific preparation, a real-time interview Copilot with ASR, and recording review into one continuous feedback loop. It maintains a long-term learner profile with weaknesses and SM-2 spaced review scheduling, and can be self-hosted via Docker or used as an Electron desktop app.

## Use cases
- practice technical interview questions with adaptive difficulty
- run mock interviews based on my resume
- prepare for an interview using a specific job description
- get real-time hints and answer suggestions during a live interview
- transcribe and review recorded interview answers
- track my weak areas and schedule review over time
- import my resume and notes as context for AI interview practice

## When to choose
- you are preparing for technical interviews and want persistent progress tracking across sessions
- you want a self-hosted, fully open-source alternative with no paywalled features
- you need real-time interview assistance with speech recognition and answer suggestions
- you want to practice with your own resume and target job descriptions

## When to avoid
- you need a simple one-off question generator without long-term tracking
- you cannot provide your own LLM API key and do not want a hosted service
- you need a commercially signed desktop installer for enterprise distribution
- you are not preparing for technical interviews (e.g., behavioral-only interviews)

## Facets
- artifact type: application
- maturity: active
- function: chatbot, speech-recognition, rag, agent-framework, self-hosted, chat-interface
- domain: artificial-intelligence, education, developer-tools
- platform: cross-platform, windows, self-hosted, bun
- tags: interview-preparation, mock-interviews, interview-copilot, long-term-memory, mem0, spaced-repetition, resume-interview, jd-preparation, recording-review, ai-coaching, career, natural-language-processing, macos, linux, electron, web-server, docker, typescript

## Member repositories
- AnnaSuSu/TechSpar (main) score 82

## Provenance
- Observed fields: from GitHub, fetched 2026-09-01T02:13:54.134800+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 2026-08-30T07:11:53.742669+00:00, confidence not recorded.
  - readme: https://github.com/AnnaSuSu/TechSpar (fetched 2026-09-01T02:13:54.134800+00:00, sha e69e49b864bb)
  - homepage: https://ansusu.gitbook.io/techspar (fetched 2026-08-29T13:11:51.065972+00:00, sha b754340e27f6)
- Data as of 2026-08-30T08:39:29.467469+00:00.