This is great! (If you don't mind me asking) How did you get around getting blocked by YouTube, and what are you using for Speech to text? I built a similar site (https://transcriberai.com), but we couldn't get around YT blocking our download requests, so we only accept file uploads.
SignalR and .Net work so well together. We also heavily leverage Hangfire (https://github.com/HangfireIO/Hangfire) in our apps for any async/background processes as well.
From my experience, you have to have a culture of code reviews to implement code reviews - if that makes sense. I have worked with a number of different teams, and have found the most success in bending the code review process to match the culture of the team. Sometimes that means all code reviews go through a single person, and other times, it means have well documented processes and bi-weekly in-person review (e.g. lots of structure).
How do you handle admins approving what gets posted? I know at a lot of events, the event organizers are worried about content being auto posted. Also, Do you have a video to a demo anywhere?
Event attendees post the content — we simply give them the right content at the right time to encourage them to share. From our experience, there are two main reasons people don’t talk about events much: either they don’t have photos to share, or they have pictures but don’t know what to write about.
Our AI solves this by automatically crafting a ready-to-go post. Attendees can tweak it if they want or share it as-is—making it effortless for them to join the conversation.
We use LLM agents to do proofreading and editing of transcripts after they are edited by people. They are good at applying our customer's specific requirements (e.g. capitalization, formatting, etc.) without us having our folks worry about any of that. We use https://transcriberai.com or https://otter.ai/ (there are a bunch) to create the first transcript for our transcriptionists.
