$ show brave-people/Dev-Event
This repository is a community-curated, chronological database of Korean developer events (conferences, meetups, hackathons, bootcamps) spanning from 2020 to 2026. The core data asset is a collection of markdown files organized by year and month (`end_event/`), each containing structured event entries with titles, links, categories, organizers, and dates. It also archives event replays (`replay_event/`) and reviews (`review/`). The repository functions as the canonical data source for a broader ecosystem of web and mobile applications, but contains no application code itself. Its primary value lies in its longitudinal coverage of the Korean tech event landscape and its successful community-driven curation model. The data is explicitly protected by a proprietary license and a restrictive `robots.txt` that blocks AI/ML crawlers, signaling a strong stance on data governance. While the data model is simple and manually maintained, leading to some inconsistencies and link rot, the project's longevity and active community make it a valuable resource for understanding the Korean developer ecosystem.
The LLM identified 3 files worth highlighting for reuse:
The core data asset of the repository. Each monthly file follows a strict, consistent markdown template (`- __[Title](URL)__` with `λΆλ₯`, `μ£Όμ΅`, `μΌμ`/`μ μ` fields). This pattern is a highly reusable, human-editable, and machine-parseable format for maintaining a community event directory. It demonstrates a successful, low-friction data curation workflow that has scaled across hundreds of contributors and thousands of events over six years.
An archive of past events with links to replays and VODs, organized in an HTML table. This adds a secondary data layer (replay access) to the primary event listings, providing a more complete lifecycle for event data. The table schema (νμ¬λͺ , λ€μ보기, ꡬλΆ, μ£Όμ΅/μ£Όκ΄, μΌμ) is a reusable pattern for archiving time-sensitive media links and creating a historical record of content availability.
Explicitly defines the terms under which the curated data can be used, prohibiting AI/ML training, scraping, and commercial use without written permission. This is a highly relevant and reusable pattern for any public data repository that wants to control its use in AI/ML training and set a clear legal and technical boundary for data consumption. It is paired with a `robots.txt` that blocks a wide range of known AI crawlers.