gplaces VS supabase

~$ sudo apt-get install --no-install-recommends -y git gcc libc6-dev make pkg-config libssl-dev libcurl4-openssl-dev libidn2-dev libidn11-dev libmagic-dev ~$ git clone --recursive https://github.com/dimkr/gplaces ~$ cd gplaces ~$ make PREFIX=/usr CONFDIR=/etc ~$ sudo make install

For me, the best small side projects involve some kind of porting (between protocols, OSs or CPUs), contribution of a fix for a visible but mysterious bug, or revival of codebases in bad shape, especially when they're unfamiliar and written by others. You can learn a lot from a software engineering culture that's different from yours or small, feasible projects that allow you to understand the bits and bytes of something unfamiliar in a fun and useful way. These projects are great to develop flexibility and general problem solving intuition. And getting familiar with the 20% of an idea, a protocol, a programming language, etc' that's used 80% of the time in real-world use cases, is often enough.

https://github.com/dimkr/gplaces (Gopher -> Gemini port)

It was a great experience using Supabase’s rock-solid PostgreSQL database for this app. The DX around that product is phenomenal: viewing and managing the DB data was a lifesaver when you don’t want to craft your own admin panel from scratch.

I didn't really give much thought as to which backend I would use. I already had 2 projects in Supabase (BOXCUT & MineWork), but also a few projects in Firebase too. I was more concerned at the time at actually building the product.

Sign up for SupaBase: Head over to SupaBase and sign up. Create a new workspace and project with your preferred names.

Setting up Supabase Create a new Supabase project, and get the connection string for the database from settings > database.

Supabase (start for free)

Built with Supabase, Astro, Unreal Speech, Stable Diffusion, Replicate, Metropolitan Museum of Art

Supabase will be used for storing article data in the database and the cover image of the article in storage. Chakra UI will be used to provide style to the elements. By using both, we can build the blog with ease.

For AutoRepurpose, I opted for Supabase as the backbone of the backend. It has reliably supported Penelope AI, which garnered over 15k users in 2022 without any issues.

Semantic search demo

1. Create a new Supabase project: Visit Supabase and create a new project.