Ta-Da Lists and Frictionless Notes

blog
Published

March 16, 2026

Most productivity systems revolve around the to-do list: a running inventory of everything you should be doing next.

The problem is that to-do lists rarely capture the most motivating part of the day: the things you’ve already finished.

That’s where the idea of a “ta-da list” comes in.

A ta-da list flips the script. Instead of only tracking unfinished work, it records what actually happened. Every small win, solved bug, conversation, or idea that moved something forward.

By the end of the day you have a simple log of progress. Not intentions, just actual outcomes.

It turns out this is surprisingly useful:

The trick is making it fast enough to use. If logging something takes more than a few seconds, it probably won’t happen.

A Tiny Tool for Frictionless Logging

To make this easy for myself, I wrote a small bash function called jot.

The idea is simple: one command instantly creates (or opens) a markdown file for today’s notes. The files are automatically organized by year and date, and the title is generated for you.

jot() {
    local base_dir=~/projects/jot
    local year=$(date +%Y)
    local note_dir="${base_dir}/${year}"
    local day_of_week=$(date +%a | sed 's/Mon/M/;s/Tue/T/;s/Wed/W/;s/Thu/Th/;s/Fri/F/;s/Sat/Sa/;s/Sun/Su/')
    local date_long=$(date +"%B %d, %Y")
    local filename
    local title
    
    # Create year directory if it doesn't exist
    mkdir -p "$note_dir"
    
    if [[ -n "$1" ]]; then
        filename="${note_dir}/$(date +%Y%m%d)_${day_of_week}_${1}.md"
        title="${1}"
    else
        filename="${note_dir}/$(date +%Y%m%d)_${day_of_week}_TADA.md"
        title="TADA"
    fi
    
    # Create file with title if it doesn't exist
    if [[ ! -f "$filename" ]]; then
        echo "# ${title} Daily Log - ${date_long}" > "$filename"
    fi
    
    code "$base_dir" "$filename"
}

Now throughout the day I can run:

jot

and immediately start adding quick notes like:

- Fixed the DuckDB query bug
- Helped a teammate debug a pipeline issue
- Sketched an idea for a new data tool

If I want a separate note for something specific, I can pass a name:

jot meeting-notes

Because the command is so lightweight, it’s easy to capture moments while they’re still fresh.

Why This Beats Most Journaling Apps (For Me)

There are plenty of tools designed for daily journaling or note-taking. Apps like Notion, Obsidian, and others all support daily logs in different ways.

But for something as lightweight as a ta-da list, I’ve found a simple filesystem approach works better.

It’s faster

The biggest advantage is speed. One command opens today’s note instantly. No navigating folders, clicking through interfaces, or waiting for an app to load.

When logging something takes two seconds, you actually do it.

It’s just files

Every note is plain markdown. No proprietary format, no database, no lock-in.

They can be searched with tools like grep, versioned with git, or edited in any editor.

Future-proof by default.

It stays out of the way

Most note-taking apps come with features I don’t need for this use case: backlinks, tagging systems, dashboards, plugins, syncing layers, and so on.

Those can be great for knowledge management, but for a simple daily log they can introduce unnecessary friction.

This setup does one thing well: it makes it extremely easy to write something down.

It scales naturally

After a few months, the directory becomes a chronological record of what actually happened day to day.

That makes it easy to answer questions like:

  • What did I work on last Tuesday?
  • When did that bug first show up?
  • What progress did we make this week?

Because everything is structured by date, finding things later is trivial.

It’s perfect input for AI

Because the notes are stored as simple markdown files, they’re also great input for AI tools.

For example, I can point something like CoPilot, ChatGPT, or Claude at a folder of notes and ask questions like:

  • “Summarize what I worked on this week.”
  • “Pull out recurring themes from the last month.”
  • “Draft a weekly status update based on these notes.”
  • “What projects show up most often in these logs?”

Over time the notes become a surprisingly rich dataset about how work actually unfolds: bugs fixed, ideas explored, meetings attended, and decisions made.

Because the data is plain text and locally stored, it’s easy to selectively provide context when I want AI assistance without being locked into any particular platform.

Small Tools, Durable Notes

This isn’t a sophisticated system. It’s just markdown files and a bash function.

But that’s kind of the point.

The lower the friction, the more likely a habit will stick. Over time, these small ta-da lists become a surprisingly rich record of what you’ve actually been doing.

And in an era where AI tools can summarize, analyze, and synthesize text effortlessly, a simple folder full of markdown notes can quietly become one of the most useful datasets you own.