GrillKit – self-hosted AI technical interview trainer with voice
GrillKit is an open-source AI technical interview trainer that allows users to configure an OpenAI-compatible model for practice. It features real-time scoring, optional voice input, and question audio, making it versatile for various programming languages and skill levels. The platform supports Docker for easy setup and offers a range of features including question banks and a dashboard for tracking interview history.
- ▪GrillKit allows users to practice technical interviews using an OpenAI-compatible model and YAML question banks.
- ▪The platform includes features such as real-time scoring, voice input, and multi-language support.
- ▪Users can set up interviews with customizable options including topics, languages, and time limits.
Hacker News (AI / LLM) files mainly under ai. We currently carry 3,311 of its stories.
Story provenance
Source · retrieval · rights · ranking — open for full record
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Story provenance
Attribution is not the same as permission. This drawer separates discovery metadata, excerpts, WeSearch-generated summaries, reuse status, and whether the publisher receives the visit. Nothing here claims a legal grant the publisher has not made.
Record
| Original publisher | GitHub |
| Canonical URL | https://github.com/GrillKit/grillkit |
| Publication time | Mon, 25 May 2026 14:40:43 +0000 |
| Retrieval time | 2026-05-25T14:52:37.992Z |
| Last seen | 2026-05-25T14:52:37.992Z |
| Headline source | Publisher (no WeSearch rewrite) |
| Excerpt source | publisher body |
| Excerpt method | First ~120 words (~800 chars) of extracted publisher body, fair-use limited. |
| Summary | WeSearch · cerebras-chat (WeSearch summarizer) |
| Summary source text | contentText |
| Citation coverage | Summary is a WeSearch-generated derivative; primary citation is the original publisher URL. |
| Cluster | IUjobxLVO_b8 |
| Cluster logic | Grouped by semantic title/content similarity across sources within a rolling window. Same-publisher template collisions are excluded from coverage comparison. |
| Ranking reason | Story pages are not engagement-ranked. Hub feeds use recency, with optional source-diversified chronological ordering (cap consecutive stories per source). No personalized ranking. |
| Publisher visit | Yes — open original |
| Substitutes article? | No — link-out required for full text |
Rights status (four layers)
WeSearch handling by dimension
| Indexing | May the item be indexed (stored, ranked, made findable)? | Allowed |
| Snippet | May a short excerpt of the publisher's text be shown? | Allowed |
| AI summary | May WeSearch generate its own short summary of the article? | Limited |
| Retrieval / RAG | May the content be exposed for third-party retrieval-augmented generation? | Not asserted |
| Model training | May the content be used to train AI models? | Not asserted |
| Commercial reuse | May the content be reused commercially? | Not permitted |
Basis: Derived from the published RSS/Atom feed. Contact: [email protected]. Reviewed: 2026-07-24.
Opening excerpt (first ~120 words) tap to expand
GrillKit Open-source AI technical interview trainer. Configure an OpenAI-compatible model, practice from YAML question banks, and get real-time scoring with optional voice input and question audio. Quick start · Changelog · Architecture Screenshots & demo Demo video — full flow from setup to scored feedback Dashboard — recent sessions and quick start Interview setup — languages, levels, topics, and session options Interview session — real-time Q&A with AI scoring and final evaluation Features Interviews — multi-language setup, several topics per session, WebSocket Q&A, AI scoring 1–5, up to 2 follow-ups per question Timer — optional per-round time limit; expired rounds score 0 and the session moves on Voice — offline Whisper dictation for answers; optional Piper TTS to read questions…
Excerpt limited to ~120 words for fair-use compliance. The full article is at GitHub.