# poteto/hiring-without-whiteboards

> A curated list of companies and teams that avoid whiteboard-style interviews, using hands-on techniques like pairing and take-home tasks. Aimed at developers searching for fairer hiring processes and companies promoting better interview practices.

- Magnitude: 2.9 out of 10 — Peaking
- Stars: 52,543 total · +3 stars measured 2026-10-10, 11:30–12:56 UTC, ≈ 18 by evening
- Star trust: star growth looks organic
- Category: Learning & lists · Language: JavaScript · License: MIT · Created: 2017-03-15 · Last push: 2026-09-24
- GitHub: https://github.com/poteto/hiring-without-whiteboards · Page: https://gitnova.dev/en/r/poteto/hiring-without-whiteboards

## Useful for

- Find companies that hire without whiteboard interviews
- Prepare for a take-home assignment before applying
- Contribute your own company to the list via pull request

## Why it’s here

- Star-counter measurements on 2026-10-10 (UTC), 11:30–12:56: 52540 → 52543 stars (+3). This is the change over that interval.
- Estimated end-of-day forecast: about +18 stars, using observed gains and the previous day.
- Over the last two days the pace is 2× that of the previous week and a half.
- Elevated gains were measured on the last 2 completed UTC days in a row. Continued growth is not guaranteed.
- GitHub Trending JavaScript today: #7, +42 stars.
- Recent forks include notable developers: @zkan (491 followers).

## Star trust

Star growth looks organic.

Star-trust labels are heuristics based on the repository’s behavior, not a check of every stargazer.

## Numbers

- Forks: 3,959
- Issues and pull requests: 1,520
- Watchers: 932
- Average over the last week: 34 per day
- Usual pace: 16 per day
- Stars in the last hour (measured): 2

## Stars per day, last 30 days (oldest → newest, today is partial)

2026-09-11 … 2026-10-10: 12, 12, 11, 14, 8, 15, 3, 9, 8, 7, 14, 10, 11, 9, 9, 13, 15, 22, 17, 24, 17, 20, 18, 22, 30, 30, 24, 46, 67, 3

## Spotted in now

- GitHub Trending JavaScript today: #7, +42 stars

## More in this category

1. **liquidslr/system-design-notes** — 4.8 · Breakout · Learning & lists · +118 stars measured 2026-10-10, 00:32–12:54 UTC, ≈ 303 by evening
   Notes from Alex Xu's System Design Interview books (Vol 1 and 2), covering 28 classic system design problems — from rate limiters and key-value stores to YouTube, Google Drive, and a stock exchange. For interview preparation and studying…
   Full card: https://gitnova.dev/en/r/liquidslr/system-design-notes.md
2. **wuyoscar/AISafetyHot-Hub** — 4.5 · Early signal · Learning & lists · TeX · +163 stars measured 2026-10-10, 00:35–12:55 UTC, ≈ 244 by evening
   A public hub of daily AI safety digests: news, papers and incidents in md/bib/json, plus instructions for connecting it to agents. Free access, no API key required.
   Full card: https://gitnova.dev/en/r/wuyoscar/AISafetyHot-Hub.md
3. **rohitg00/ai-engineering-from-scratch** — 4.2 · Steady · Learning & lists · Python · +221 stars measured 2026-10-10, 00:33–12:55 UTC, ≈ 387 by evening
   Open-source AI engineering curriculum: 523 lessons across 20 phases (~342 hours) in Python, TypeScript, Rust and Julia, where every lesson ships a reusable artifact such as a prompt, skill, agent or MCP server.
   Full card: https://gitnova.dev/en/r/rohitg00/ai-engineering-from-scratch.md
4. **cdyforever/how-to-live-better** — 3.9 · Steady · Learning & lists · HTML · +254 stars measured 2026-10-10, 00:33–12:55 UTC, ≈ 453 by evening
   A single-file HTML reading page for the open book "High Cost-Performance Life Guide" — 528 tips across 32 sections, searchable, offline-capable, zero dependencies.
   Full card: https://gitnova.dev/en/r/cdyforever/how-to-live-better.md
5. **bojieli/ai-agent-book** — 3.8 · Steady · Learning & lists · Python · +132 stars measured 2026-10-10, 00:33–12:55 UTC, ≈ 236 by evening
   Open book on AI agent design principles and engineering practice: 10 chapters, PDF/EPUB in 15 languages, and 109 companion experiments with Python code.
   Full card: https://gitnova.dev/en/r/bojieli/ai-agent-book.md

---

Magnitude (0–10) measures how fast and how unusually interest in a repository is growing right now. It is not a quality score.
Days are UTC. “So far today” is a fact; “expected by the end of the day” is a forecast.
Summaries and use cases are written by an LLM (DeepSeek V4.1 Flash) from the README and may be inaccurate: verify specific claims (benchmarks, speed, hardware) in the repository itself.
Data as of 2026-10-10 13:04 UTC, updated every 30 minutes.