
Aurelia
The trusted research workspace. Zero noise.
Aurelia launched on May 6, 2026 with 2 votes, #6,288 of 20,538 launches that month.
What it does
Aurelia is a curated knowledge workspace for professionals tired of chaotic search results and unreliable sources. We focus exclusively on public domain and properly licensed content. We respect copyright — no piracy, no shortcuts. Built for deep work, Aurelia delivers clarity, structure, and a premium research experience. Stop drowning in tabs. Start building knowledge.
Aurelia Digital Library is building a trusted modern gateway to open knowledge, books, learning resources, and research.
Aurelia Digital Library is building a modern, trusted, and legal platform for discovering public knowledge, learning resources, books, and research for users worldwide. بإدخال بريدك، توافق على استلام تحديثات الوصول المبكر. يمكنك إلغاء الاشتراك في أي وقت. Aurelia Digital Library is an early-stage initiative focused on improving access to trusted public knowledge sources, educational materials, and open resources. We believe learning should be more organized, modern, and globally accessible. Built around open access, public domain, and educationalfrom aurelia-v6.vercel.app
Does a similar job
all alternatives →


Matilda Workspace (Preview)2024 · matilda.io · ▲306It's hard to move fast when your tools are complicated


More work this month
the category →
Endless lofi beats composed live in your browser, over pixel-art nights in Paris, Tokyo, New York, Hong Kong, Sydney, San Francisco and more. Free, no sign-up.
Work · 24d ago · loficities.com
Smooth Recorder▲257Mac screen recordings that look edited when you hit stop
Work · 18d ago · smoothrecorder.com


Work · 12d ago · readrare.com
Source: Product Hunt launch ↗
Launched alongside, May 2026
the whole month →

Parallel agents, diff reviewer, and multi-model comparisons
Dev tools · May 2026 · kilo.ai



Hey HN, Henry here from Cactus. We open-sourced Needle, a 26M parameter function-calling (tool use) model. It runs at 6000 tok/s prefill and 1200 tok/s decode on consumer devices. We were always frustrated by the little effort made towards building agentic models that run on budget phones, so we conducted investigations that led to an observation: agentic experiences are built upon tool calling, and massive models are overkill for it. Tool calling is fundamentally retrieval-and-assembly (match query to tool name, extract argument values, emit JSON), not reasoning. Cross-attention…
Life & fun · May 2026 · github.com

🌱 Private, quiet space for thinking. Simple app for .md files. - zakirullin/files.md
Dev tools · May 2026 · github.com