You already have a technical screen. It grades the artifact.
Every incumbent has shipped AI features in the last two years, and none of it changed what they measure. They score the code that came out. An agent writes that code in minutes now — so a green test suite tells you almost nothing about the engineer who submitted it.
The artifact, versus the work behind it.
| Dimension | The screen you run today | Promptster |
|---|---|---|
| What it grades | The final diff — did the tests go green. | The process — how they scoped, steered, and verified the work. |
| Assumes the candidate works alone | Yes — AI use is a violation to be detected. | No — AI use is the job, and orchestration is the signal. |
| Survives a prompt-proxy candidate | No — correct output looks identical either way. | Yes — the transcript shows who was driving. |
| Reconstructs the session | No — a score and maybe a keystroke playback. | Yes — prompts, tool calls, diffs, and decisions on one timeline. |
| Candidate experience | Locked-down browser IDE, proctoring, webcam. | Their own editor and agent. No proctoring, explicit consent. |
The honest version, tool by tool.
Each comparison is written straight — what the other platform genuinely does well, and exactly where it stops short of measuring how someone works with an agent.
Promptster vs HackerRank
The default high-volume filter, and genuinely good at ranking people on data-structure puzzles. Those puzzles are exactly what an AI agent solves instantly — which is why a passing score no longer separates the candidates you want.
Promptster vs CodeSignal
A calibrated, comparable score across a large funnel — real value if you hire at volume. It still measures the output of a sandboxed session, so it can't tell you how a candidate would actually work with the tools your team uses daily.
Promptster vs Codility
Task-shaped problems that look more like real work than pure algorithm trivia, with solid anti-plagiarism tooling. The plagiarism model assumes copying is the threat; the actual threat is a candidate who prompts well and understands nothing.
Read the process,
not just the commit.
Twelve founding teams will ship this with us. A technical screen that can't tell paste from craft isn't neutral. It's a ~$200K coin-flip you won't catch for months. If you hire 5+ engineers a year, we should talk.