Forem: dayora

I Built a Personal Debugging Tool for My Own Mental Health

dayora — Thu, 02 Apr 2026 20:45:23 +0000

As a developer, I build tools for other people all day. But I realized I had no tool for tracking my own mental state. So I built one.

The Problem

I kept hitting the same walls: burnout cycles that felt unpredictable, frustration with certain projects that I couldn't explain, and a general sense that "some weeks are good, some aren't" without understanding why.

I tried mood tracking apps. They were either too clinical (rate your mood 1-10 five times a day) or too fluffy (gratitude journals with flower backgrounds). Neither stuck.

What I Built

A journaling app where you write a few sentences and AI reads them back to you the next morning as a pattern summary.

The key insight: I don't want to analyze my own writing. I want something to do it for me and surface what I'm missing.

After 90 days of entries, the AI told me things like:

"You mention feeling drained after meetings with the design team 4 times this month"
"Your entries on days after running are consistently more positive"
"You've mentioned imposter syndrome 3 times in the past 2 weeks, all on Mondays"

None of this was obvious to me while I was writing it.

Technical Decisions

Next.js + PostgreSQL + Vercel. Boring stack, fast to ship. The AI is OpenAI GPT for summarization. I considered running a local model but the quality gap for nuanced emotional language was too big.

Voice input turned out to be more important than I expected. Developers think in text, but after a long day of coding, typing more feels like work. Speaking for 30 seconds into your phone captures more honest thoughts than carefully typing them.

Privacy was non-negotiable. Entries are encrypted at rest. The AI processes them for summaries but nothing is stored beyond the user's own data. No training on user entries.

Making It Free

I made it completely free because I think the "journaling app that costs $13/month" model is broken. The marginal cost per user is tiny (a few API calls for summaries). The value of having more people journaling consistently outweighs any subscription revenue I'd get from a premium tier.

What I Learned About Developer Wellness

Building this taught me something: most developers are terrible at self-awareness. We're trained to debug systems, not ourselves. But the same skills transfer. Logging, pattern matching, root cause analysis. These all work on your own mental state if you have the data.

The app is Dayora if anyone wants to try it. Genuinely free, no catch.

But the bigger takeaway: keep a record of how you feel. The tool doesn't matter. What matters is having 90 days of data to look back on. The patterns will surprise you.

The One-Line Journaling Method That Actually Sticks (After 5 Failed Attempts)

dayora — Thu, 02 Apr 2026 10:46:29 +0000

We've all heard "you should journal." But most advice stops there. Here's what actually happens when you do it consistently, and how to make it stick even if you've failed before.

Why Most People Quit

The typical journaling attempt looks like this: buy a nice notebook, write two pages on day one, one page on day two, skip day three, feel guilty, never open it again.

The problem isn't discipline. It's the expectation that entries need to be good.

The One-Line Method

Write one sentence about how you feel. That's it. Not about what happened. About how you feel.

Examples:

"Tired but weirdly calm today"
"Anxious about tomorrow's meeting"
"Good morning. First time in a while."

That's a complete entry. It takes 10 seconds. And it's more useful than three paragraphs about what you had for lunch.

What Changes After 30 Days

After a month of one-liners, you can scroll back and see something no amount of thinking would reveal: your patterns.

My patterns:

Energy crashes on days after poor sleep (but delayed by 48 hours, not immediate)
Anxiety clusters around the same recurring situations
Good days almost always follow mornings where I moved my body before checking my phone

None of this was visible day-to-day. My brain smoothed it all out into "things are mostly fine." The one-liners told a different story.

After 90 Days

Three months of data gets interesting. You start seeing:

Weekly rhythms you didn't know existed
Relationship patterns that only become clear in aggregate
What actually makes you feel better (it's rarely what you think)
Progress that's invisible in real time but obvious looking back

Making It Stick

Three rules that worked for me:

1. Attach it to something you already do. I write immediately after my first sip of coffee. The coffee is the trigger, not an alarm or reminder app.

2. Never write more than you want to. One line is enough. If more comes, great. If not, the one line counts.

3. Reread once a week. This is the secret. Sunday evening, scroll through the week. The patterns jump out. This is what makes the daily writing feel worthwhile.

Tools

I use Dayora because it's free and the AI summarizes patterns for me. But I started with Apple Notes. The tool matters less than the consistency.

What matters: you can search it, scroll it, and access it quickly. If it takes more than 5 seconds to open and start writing, you'll skip it.

Start Today

Open your notes app. Write one line about how you feel right now. Set a reminder for tomorrow. That's your journaling practice. Everything else is optional.

If you're interested in the AI pattern-recognition angle, Dayora does daily summaries and mood pattern analysis for free. But honestly, even a plain text file works if you're consistent.

I Tracked My Mood for 90 Days. The Patterns Were Invisible in Real Time.

dayora — Sun, 29 Mar 2026 11:22:30 +0000

I tracked my mood in a journal for 90 days. Here's what the data revealed about patterns I was completely blind to.

The Setup

Nothing fancy. One line per day about how I felt, written before bed. Sometimes two sentences if something specific happened. I used an AI journaling app that gives you daily summaries, but a notes app would work too.

What I Found After 90 Days

1. Energy crashes follow a weekly pattern

My worst days clustered on Thursdays. Every single week. It took me a month to realize that's my heaviest meeting day. Once I moved two recurring meetings to Tuesday, the Thursday crashes mostly stopped.

2. Sleep quality shows up 48 hours later

A bad night doesn't hit me the next day. It hits the day after. When I feel terrible on a Wednesday, the actual cause is usually Monday night's poor sleep. Seeing this lag pattern completely changed how I think about recovery.

3. The good days had one common thread

Morning walks before checking my phone. That was it. The days I walked first were consistently better, regardless of what happened after.

The Takeaway

Your memory smooths everything out. It tells you "every day is pretty much the same." But 90 days of one-line entries told a very different story.

If you're thinking about starting: don't try to write well. Don't try to be deep. Just write one honest line about how you feel. The patterns reveal themselves.

I use Dayora for this (it's free and the AI summaries help surface patterns faster), but honestly any consistent method works. The key is 90 days of data.

What patterns have you noticed when you look back at your own records?