Add social media links

_projects/project-26-baybes.md

@@ -25,6 +25,8 @@ In multi-context BO (which could also be referred to as transfer learning), the
 
 In this project, we aim to investigate _(i)_ the multiple-context performance of BO frameworks on existing benchmarks, _(ii)_ develop new benchmarks for such tasks based on existing data, and _(iii)_ possibly also investigate different ways of incorporating prior knowledge into the model.
 
+Check our submission post [here on X](https://x.com/Scienfitz/status/1777346768105058318) and [here on LinkedIn](https://www.linkedin.com/posts/martinfitzner_i-hope-you-enjoyed-the-bo-hackathon-a-week-activity-7183091952010022914-lHEn).
+
 References:
   - [https://github.com/emdgroup/baybe](https://github.com/emdgroup/baybe)
   - [Transfer Learning in BayBE](https://emdgroup.github.io/baybe/userguide/transfer_learning.html)