5 reviewsI have used Hugging Face while working on the AI side of LazySiren, mainly to explore models and see what others have built with them. The model pages and examples make it much easier to judge whether something might fit before trying it properly. There is a lot to take in at first, and some pages assume a fair bit of background, but as a place to discover and learn from working AI models it has been genuinely useful.
I use Substack to publish written updates about LazySiren and send them to readers by email. The writing screen stays out of the way, which I appreciate, and it is easy to share a post once it is done. Discovering new readers takes time, as it does anywhere, but for putting out a regular newsletter without building a whole system myself, it has worked well.
I keep LazySiren notes, drafts and shared files in Google Drive, so I can pick them up from my phone or computer without thinking about it. Search usually finds what I need quickly, and sharing a folder with a collaborator is simple. I do wish offline sync were a touch more predictable now and then, but as a place to store and find the working files behind a project, it does the job well.
GitHub is where the LazySiren code lives, so I use it every day. Version history has saved me more than once when an experiment went wrong, and being able to roll back or compare changes makes trying new ideas much less risky. I also like having issues and pull requests in the same place as the code. It can feel busy when a project grows, but for building and keeping track of a real product it has been solid and dependable.
I use Cloudflare Pages to host the web version of LazySiren. Deploying from GitHub was straightforward, and the site loads quickly for visitors. I like that I can push a change and see it live without fussing over servers. The dashboard took a little getting used to at first, but once the project was set up it has been reliable day to day.