Alright, first things first, let's get a new project rolling in Supabase. Once you're logged in, just hit that shiny new project button. Fill in the details, and then click 'Create New Project'. Easy peasy, right?

Next up, we need to design a schema that fits our data needs. Think about what kind of data you'll be storing. For time-series data, you'll definitely want to use the TIMESTAMP data type for your time field. This will let you store both the date and time. Other fields might include things like device ID, sensor readings, and whatever else your application needs.

Head over to the 'Table Editor' in the Supabase dashboard. Click on 'New Table' and set it up according to the schema you just designed. Consistency is key here, especially for time-series data. Make sure all your data follows the same standard. Trust me, it'll save you a lot of headaches later.

To make your queries super fast, you need to enable indexing on the time column. This way, Supabase won't have to scan the entire table to find entries within specific timestamps. It's like giving your database a shortcut.

Now comes the fun part—adding data! You can insert data into your table either manually or programmatically. Whatever floats your boat.

Once your data is in, you can start querying and visualizing it. You'll be using SQL commands for this, and you might want to filter by time ranges or other criteria. Supabase's client libraries can help you run these commands from your programming environment.

For time-series databases, it's common to continuously update the table with new data as it's recorded. Depending on your needs, new entries might come in every millisecond, second, minute, hour, or day. You'll probably need a script or program to automatically add these new readings.

Supabase lets you set up triggers to perform actions based on time or data changes. This is super handy for time-series data. You might need to delete old data, move it to another table, or log it somewhere else. Triggers can help you automate these tasks.