Apply suggestions from code review

Co-authored-by: Simon Li <[email protected]>

docs/meetings/collab-cafe/2024.md

@@ -24,15 +24,15 @@
 - **Min (10m)**: spreading meeting facilitation responsibilities: <https://github.com/jupyterhub/team-compass/issues/737>
   - Maybe bring it up on the forum
   - wider advertisement of meetings, e.g. forum. Most things are only on Issues right now
-  - relying on volunteers leads ot bias in who participates
+  - relying on volunteers leads to bias in who participates
   - Sarah offers mentorship for facilitators
   - Broader question: Standing agenda item on community engagement/activity, who is coming or not, etc.
-  - Nominate a person to make a list of where to share things (write here:
+  - Nominate a person to make a list of where to share things (write here):
     - Jupyter forum
     - Twitter? / Mastodon? Do we have those accounts anymore?
     - Gitter?
 - **Dan Sholler (5 minutes)**: Voices of Jupyter Research Project with The Turing Way
-  - SoW here: <https://docs.google.com/document/d/1M2kfwvT7KHfgWd2Qph3BIM7seyrb8Lt23cVE_1HzvMw/edit#heading=h.x5kwcnqrf9m2>
+  - Scope of Work here: <https://docs.google.com/document/d/1M2kfwvT7KHfgWd2Qph3BIM7seyrb8Lt23cVE_1HzvMw/edit#heading=h.x5kwcnqrf9m2>
   - Track progress and contribute here: <https://github.com/the-turing-way/jupyterhub-orgmyc-EOSS>
   - Past report as a sample: <https://astropy-dei.orgmycology.com/>
 - **Arnim c/o Min (10m)**: discuss GESIS in mybinder.org
@@ -49,7 +49,7 @@
   - <https://github.com/jupyterhub/configurable-http-proxy/issues/388#issuecomment-2347600588>
   - <https://blog.cloudflare.com/how-to-stop-running-out-of-ephemeral-ports-and-start-to-love-long-lived-connections/>
     - `The default ephemeral port range contains more than 28,000 ports (60999+1-32768=28232). Does that mean we can have at most 28,000 outgoing connections? That’s the core question of this blog post!`
-  - do we limit # of users per hub (will be 'difficult' for some course-specific hubs w/1200 users)?
+  - do we limit number of users per hub (will be 'difficult' for some course-specific hubs with 1200 users)?
   - somehow load-balance the chp (a bit meta lol)
   - Proposal to try switching to traefik again: <https://github.com/jupyterhub/zero-to-jupyterhub-k8s/issues/3497>