One of the most powerful outcomes of attending SuperAI workshops is access—not just to ideas, but to real working code, prototypes, and demos you can reuse or inspect. After you’ve participated in a workshop or lab session, the question is: where do you find those artifacts later? In this article, we’ll delve into the best places and strategies to locate source code, demo videos, repositories, and hands-on assets from SuperAI. Knowing where to look helps you turn inspiration into implementation.
- 1. Official SuperAI GitHub / Open Source Portals
- 2. Session Pages & Demo Listings on the SuperAI Website
- 3. Hackathon / Workshop Portals & Participant Repositories
- 4. Links Shared in Workshop Presentations, Slides & ReadMe Files
- 5. Community Channels, Slack / Discord, and Workshop Chat Logs
- 6. Personal Websites or Creator Portfolios
- 7. Archive Platforms & Versioned Snapshots
- Tips for Maximizing Access to These Code & Demo Resources
- Conclusion
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1. Official SuperAI GitHub / Open Source Portals
One of the first places to check is SuperAI’s own open source presence. For example, the super.ai organization on GitHub hosts repositories such as superai-sdk, documentation-demo, and other public projects shared under open licenses. If your workshop was run by core SuperAI teams or partners, chances are the sample code or workshop repo is published there or linked via their GitHub.
When a workshop ends, the facilitators often push a “starter repo” or demo code into a designated GitHub repository, which you can clone, inspect, and adapt for your own work.
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2. Session Pages & Demo Listings on the SuperAI Website
SuperAI publishes a schedule of sessions, often including “Finalist Demos” pages (for the NEXT Hackathon, for instance) where demo videos are showcased. Alongside demo videos, sometimes organizers or presenters embed links to their code repos, downloadable assets, or slide decks. Always check the session description page or “Resources / Materials” section on the official SuperAI website after the event.
For example, in a workshop on agentic systems, the session might include a “GitHub link: github.com/…” under the description or media tab. Bookmark these session pages early; you can revisit after the event to grab demos.
3. Hackathon / Workshop Portals & Participant Repositories
Many SuperAI workshops, especially the NEXT Hackathon, maintain a portal or submission page where participants submit code, deploy demos, or link to their GitHub. After the event, these pages may remain live or archived. If you participated or followed along, you can revisit the hackathon portal to view finalist submissions, explore their repos, or fork their code.
Sometimes, organizers or participants publish their project repositories to GitHub, GitLab, or similar platforms and then annotate in workshop chat logs or documentation channels where to find them.
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4. Links Shared in Workshop Presentations, Slides & ReadMe Files
During workshops, presenters often show slides that include URLs or QR codes that link to demo code, sample datasets, or supplementary notebooks. It’s good practice to jot down those pointers. After the event, many presenters convert their slides into PDF or slide decks that still retain those links. Sometimes, those shared slide decks are uploaded to event sites or repositories, making the embedded links usable after the fact.
Also, demo code often includes README.md or documentation files pointing to datasets, sample inputs, or companion services. Inspect the repository structure carefully.
5. Community Channels, Slack / Discord, and Workshop Chat Logs
Many workshops leverage community platforms—Slack, Discord, or event apps—for sharing code, collaborating, and Q&A. After the workshop, those channels may retain messages or pinned links pointing to code repos or demo URLs. Some presenters drop GitHub links on chat just after finishing.
If you participated and have access, scroll through pinned messages, “resources” channels, or workshop threads to locate code links. You might find links like bit.ly/workshop-demo or a GitHub repo shared there.
6. Personal Websites or Creator Portfolios
Many workshop instructors, engineering leads, or guest presenters maintain personal websites, portfolios, or blogs where they post follow-up materials. After the event, they often place the demo code, video walkthroughs, or annotated tutorials on their blogs or project pages. Searching for presenter names + “SuperAI workshop code” or similar phrases often yields useful results.
For instance, the presenter of “Cracking the AI Product Launch Code” may host supplementary code, slide notes, or companion modules on their site.
7. Archive Platforms & Versioned Snapshots
Even if a repository is taken offline later, archive tools like the Wayback Machine, GitHub archive, or artifact registries may retain snapshots of workshop materials. If you had a link to the demo code once, you might later fetch it via archiving. Also some conference organizers maintain a static archive section where past workshop assets are stored for download.
Tips for Maximizing Access to These Code & Demo Resources
- Bookmark session pages early: often when the workshop is live, the links are active; capture them quickly.
- Ask presenters for GitHub links: during or after the session, request code links; many are happy to share.
- Clone or fork early: once you find the repository, clone it—some presenters may archive or clean up repos later.
- Keep track of workshop names, presenter names, and demo titles: that metadata helps when searching GitHub or Google later.
- Link your work back: if you build upon a workshop demo, cite the original repo or author; it signals respect and makes community linking easier.
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Conclusion
Attending SuperAI’s workshops offers access not only to live learning but to enduring assets—source code, demo projects, interactive notebooks, and more. You’ll most reliably find them on official GitHub orgs, workshop or hackathon portals, session pages, slide decks, community channels, or presenter portfolios. By capturing links early, exploring workshop platforms, and leveraging archive tools, you can extend your SuperAI investment well beyond the event.
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