Domain Arrivals
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Featured in Domain Arrivals · 2026-08-19

Sheedy Notes: A Teacher’s Working Library

sheedynotes.com ↗ · Learning & Exams · score 86.0
○Open: public page gives enough substance to understand the site $Paid: pricing, booking, ecommerce, subscription, or paid access is visible ADAds: visible ad load or ad-supported content ✦Pretty: notable design, copy, craft, or presentation ◆Pro: polished, finished-feeling, serious, or operationally mature ◇Niche: specific audience, workflow, or unusually focused use case ◉Human: personal, local, community, civic, handmade, or real-person signal !Suspicious: scammy, spammy, trust theater, finance fog, or credibility concern

Daniel Sheedy’s portfolio combines secondary mathematics and science teaching with 286 micro-lessons, interactive browser tools, documented projects, and explanatory notes.

Why it surfaced

This is more than a résumé: visitors can search the collection locally, open lessons without an account, and run working tools. Its 12 connected mathematics strands and 13 case studies make the site feel like a carefully maintained teaching workbench, complete with visible methods, evidence, and limitations.

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The Song Resumes After the Story

August 19’s newborn domains include a Hawaiʻi road-trip radio that resumes each song after a GPS-triggered story, an offline Chattanooga recovery map, a 100 KiB operating system running Doom, and an archive of 169,588 Discord roleplay messages.

This is one of 1,000 discoveries in the 2026-08-19 Domain Arrivals issue.

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Three more arrivals

How to Grow (Almost) Anything htbaa.org

A free global course in synthetic biology, supported by local community biolabs and an international network of students.

 Soya, the offline reader for four language ladders soyalearn.com

Soya rewrites links and book titles into level-appropriate Chinese, Japanese, or Korean, with readings, word explanations, lessons, and practice games.

 Business Cold Case Turns Team Training Into an Investigation businesscoldcase.com

An Italian experiential-learning method asks teams to reconstruct a deliberately incomplete business crisis from emails, reports, chats, contracts, and live events.