無料・オープンソースDeepSeek-V4 と R1 を中核とし、極めて低いトークンコストで提供される高効率なオープンウェイト/ホスト型推論 AI。
Aquin は月間 0 訪問、前月比成長率 0%、料金体系料金は要問い合わせを記録しています。Headstarter は月間 1,665 訪問、成長率 +32%、料金体系料金は要問い合わせを記録しています。
Aquin (Aquin Labs) is an AI research organisation working on interpretability and applied prediction. Its core project, Aleph, is positioned as a universal predictor for applied ML, data science and annotation work, producing schema-bound outputs such as probabilities, labels, boxes and scores that programs can consume. Alongside it the lab publishes research on attention circuits, weight editing and self-learning developer agents.
| 項目 / 指標 | ![]() | |
|---|---|---|
| 公式ドメイン | aquin.app | theheadstarter.com |
| 料金モデル | 料金は要問い合わせ | 料金は要問い合わせ |
| 月間訪問数 | 0 (0) | 1665 (1,665) |
| 前月比トラフィック増減 | 0 (0%) | +404 (+32%) |
| 主要市場とシェア | 🌐 グローバル (—) | 🌐 グローバル (—) |
| 月間ダイレクト訪問数 | 0 | 498 |
| ユーザー評価 | 4.1 | 4.4 |
| 対応プラットフォーム | ウェブサイト | ウェブサイト |
Aquin (Aquin Labs) is an AI research organisation working on interpretability and applied prediction. Its core project, Aleph, is positioned as a universal predictor for applied ML, data science and annotation work, producing schema-bound outputs such as probabilities, labels, boxes and scores that programs can consume. Alongside it the lab publishes research on attention circuits, weight editing and self-learning developer agents.
A single base that handles tables, media, annotation and decision tasks, with the option to fine-tune toward your specific data.
Outputs are typed and scored rather than free text, so downstream programs can act on results and escalate low-confidence cases.
Treats attention as a routing map from a single forward pass, isolating a small subgraph aimed at the answer and testing it under ablation.
Agentic weight-editing experiments that localise causal layers, apply rank-one MLP updates and validate then roll back steps when checks fail.

Headstarter builds applied AI products that put agents and engineers to work on real problems and judge them on what they ship. It spans offensive-security agent training, model interpretability tooling, AI-assisted coding, and agent-driven hiring for startups.
Build realistic networks — web apps, file shares, databases and internal hosts — for training and evaluating offensive-security agents under rules of engagement.
Load any open model, run it offline on your own GPU, inspect which neurons fire per word, then edit and serve the modified model via an OpenAI-compatible API.
Work across repositories, talk to your code by voice, and let agents plan, edit, test and open pull requests from the browser, with every session traced and scored.
Agents search engineers' real work across GitHub and LinkedIn and score candidates against the role, producing a ranked shortlist with evidence.
無料・オープンソースDeepSeek-V4 と R1 を中核とし、極めて低いトークンコストで提供される高効率なオープンウェイト/ホスト型推論 AI。

無料・オープンソースライブの X 連携を備え、Grok 4.7 を搭載した xAI のリアルタイム AI アシスタント兼コーディングワークスペース。
無料・オープンソース優秀な人材と意欲ある企業をAIエージェントが直接つなぐ

無料・オープンソースCoderPad is a hiring platform that lets teams evaluate real engineering skill rather than quiz performance. It combines automated pre-screens, realistic coding assessments, live collaborative interviews, AI-assisted evaluation and anti-cheating controls, and integrates with the applicant tracking systems recruiters already use.
無料・オープンソースCoderPad is a hiring platform that lets teams evaluate real engineering skill rather than quiz performance. It combines automated pre-screens, realistic coding assessments, live collaborative interviews, AI-assisted evaluation and anti-cheating controls, and integrates with the applicant tracking systems recruiters already use.

無料・オープンソースブラウザ・ファイル・アプリ作業をこなすオープンソースのデスクトップAIワークフォース
Arc の審査済みリモート人材マーケットプレイス内の AI 候補者マッチング
公開ウェブ上の情報から作られ、出典をたどれるAI人物プロフィール