OpenLoop is a community initiative that aims to build a repeatable workflow for bringing Pseudo Lab projects to global audiences β connecting content discovery with opportunities to participate and contribute.
Based in South Korea, Pseudo Lab is home to a growing community of builders, researchers, and open-source contributors exploring AI and emerging technologies. Across the community, projects continuously generate research, technical insights, experiments, and stories worth sharing.
OpenLoop aims to bring these projects and stories to wider audiences by building a repeatable global communication loop. By identifying active projects, adapting their stories for global audiences, and sharing them across global platforms, we aim to create new entry points into the Pseudo Lab community and connect project discovery with opportunities to participate.
OpenLoop explores how existing project activities can be transformed into accessible global content and, ultimately, create pathways from project discovery to open-source contribution.
Our Season 13 journey moves through five stages: BUILD β CURATE β LAUNCH β AMPLIFY β SCALE
- Define criteria for identifying projects and activities to highlight
- Establish a content calendar and publishing frequency
- Develop standardized content structures and visual formats for LinkedIn
- Select active projects to highlight each month
- Identify relevant project stories, blog content, and contribution opportunities
- Translate and adapt selected content for global audiences
- Publish curated English content through LinkedIn
- Connect each post to relevant blog content and GitHub repositories
- Establish clear pathways from project discovery to participation
- Track engagement and audience response
- Experiment with different content and visual formats
- Highlight contribution stories and project progress through follow-up content
- Refine the workflow based on content performance and contribution data
- Automate repetitive curation, localization, and distribution tasks with AI
- Explore additional platforms such as X and Reddit to build a one-source, multi-platform content workflow
By the end of the season, OpenLoop aims to establish:
- Repeatable global content workflow connecting LinkedIn β Blog β GitHub
- Standardized English content and visual templates
- An AI-assisted workflow for repetitive curation, localization, and distribution tasks
Our goal is to build a sustainable loop that helps global audiences discover, understand, and contribute to Pseudo Lab projects.
| Week | Stage | Date | Time | Format | Key Activities | Expected Outcome |
|---|---|---|---|---|---|---|
| W01 | OT | 2026.10.05 | 19:00β20:00 KST | OFFLINE | Project introduction & team alignment | Team alignment |
| W02 | BUILD | 2026.10.12 | 19:00β20:00 KST | ONLINE | Define project criteria & content calendar | Selection criteria & content calendar |
| W03 | BUILD | 2026.10.19 | 19:00β20:00 KST | ONLINE | Develop content & visual formats | Content & visual templates |
| W04 | BREAK | 2026.10.26 | β | β | Break | β |
| W05 | CURATE | 2026.11.02 | 19:00β20:00 KST | ONLINE | Translate & curate selected content | Collection #1 plan |
| W06 | LAUNCH | 2026.11.09 | 19:00β20:00 KST | OFFLINE | Finalize & publish first collection | Collection #1 published |
| W07 | LAUNCH | 2026.11.16 | 19:00β20:00 KST | ONLINE | Select & plan second collection | Collection #2 plan |
| W08 | LAUNCH | 2026.11.23 | 19:00β20:00 KST | ONLINE | Finalize & publish second collection | Collection #2 published |
| W09 | AMPLIFY | 2026.11.30 | 19:00β20:00 KST | ONLINE | Review LinkedIn engagement | Engagement review |
| W10 | SCALE | 2026.12.07 | 19:00β20:00 KST | OFFLINE | Prepare X/Reddit expansion | Platform experiments |
| W11 | SCALE | 2026.12.14 | 19:00β20:00 KST | ONLINE | Test content & visual formats | Refined platform formats |
| W12 | SCALE | 2026.12.21 | 19:00β20:00 KST | ONLINE | Refine workflow & explore AI automation | Workflow & automation opportunities |
| W13 | SCALE | 2026.12.28 | 19:00β20:00 KST | ONLINE | Review & document project | Season retrospective |
| W14 | BREAK | 2027.01.04 | β | β | Break | β |
OpenLoop follows a simple principle: content should lead to discovery, and discovery should create opportunities for participation.
Pseudo Lab Projects
β
Discover Active Projects
β
Curate Stories & Activities
β
Translate & Adapt
β
Share with Global Audiences
β
LinkedIn β Blog β X / Reddit
β
Project Discovery
β
GitHub Contribution
β»
The goal is to keep the loop open: global audiences can discover a project through content, learn more about its work, and find a clear path toward participation and contribution.
Each cycle also generates new insights, stories, and contributions that can feed into the next round of content.
| Role | Name | Focus |
|---|---|---|
| Builder | @name |
Project direction & coordination |
| Runner | @name |
|
| Runner | @name |
|
| Runner | @name |
|
| Runner | @name |
|
| Runner | @name |
Roles are flexible. OpenLoop encourages members to contribute across research, curation, writing, translation, design, publishing, and experimentation depending on their interests.
Our team works through the following cycle:
BUILD β CURATE β LAUNCH β AMPLIFY β SCALE β»
-
π Think Global β Approach every project from the perspective of the global audience.
-
π€ Create Together β Share ownership across research, writing, translation, design, and publishing rather than working in silos.
-
π Build for Repeatability β Turn successful experiments into simple, reusable workflows that can continue beyond a single season.
This section documents the content, experiments, and learnings created throughout OpenLoop.
- π Repository:
URL - πΌ LinkedIn:
URL - π Blog / Articles:
URL - π:
URL - π¬ Instagram:
URL
| Collection | Featured Projects | Platform | Link |
|---|---|---|---|
Collection #1 |
TBD | LinkedIn / Blog | URL |
Collection #2 |
TBD | LinkedIn / Blog | URL |
| Date | Update | Link |
|---|---|---|
2026.10.05 |
Project Kickoff | URL |
2026.11.09 |
Collection #1 Published | URL |
2026.11.23 |
Collection #2 Published | URL |
2026.12.28 |
Season Retrospective | URL |
There are many ways to participate in OpenLoop:
- π§ Builder β Help shape and coordinate the project
- π Runner β Contribute to research, curation, localization, content, design, and platform experiments
- π Open Participant β Join open sessions, follow the project, and share feedback
- π» Contributor β Discover featured Pseudo Lab projects and contribute directly through their GitHub repositories
βοΈJoin the community: Pseudo Lab Discord
βοΈCommunication channel: Discord #{{channel-name}}
Anyone interested in OpenLoop is welcome to join our open sessions.
You can participate by:
- Joining our regular open sessions through the Pseudo Lab Discord
- Participating during Magical Week
- Meeting the OpenLoop team at Pseudo Lab community events
- Exploring featured projects and contributing directly through GitHub
Let's open the loop together. π
OpenLoop is developed as part of Pseudo Lab's Open Academy.
This project is made possible by the builders, runners, contributors, and project teams who openly share their work and ideas across the Pseudo Lab community.
Special thanks to everyone helping make Pseudo Lab projects more accessible to the global open-source community. Every contribution opens another path between project discovery and participationβand keeps the loop moving.
Pseudo Lab is a non-profit community focused on advancing machine learning and AI through open collaboration.
Built around the values of Sharing, Motivation, and Collaborative Joy, Pseudo Lab brings together builders, researchers, learners, and contributors to experiment, share knowledge, and create open-source projects together.
This project is licensed under the MIT License.