Build your Mood Journal with AI in under 5 minutes

Build a Daylio-style daily mood tracker with a 52-week calendar heatmap, streak counter, 30-day rolling average, and optional per-day notes — generated from a single prompt.

So funktioniert es

Schritt 1

Beschreiben Sie Ihre Idee

Schreiben Sie eine Beschreibung in Textform, die erklärt, was Sie möchten.

Schritt 2

Die KI erstellt es

FloopFloop generiert sofort produktionsreifen Code.

Schritt 3

Bereitstellen & live gehen

Ihr Projekt wird innerhalb von Minuten auf einer eigenen Subdomain gehostet.

Warum mit KI statt mit einem Entwickler bauen?

FloopFloopTraditioneller Entwickler
Zeit bis zum LaunchUnter 5 Minuten2–8 Wochen
KostenAb 0 $5.000 $ – 50.000 $+
WartungInklusiveLaufendes Honorar

What is a mood journal?

A mood journal is a small daily practice with outsized long-term value: a 30-second check-in produces months of data that shows patterns you'd never catch in real time. Daylio dominated the category as the lightweight emoji-tap journal; Reflectly leaned into AI-driven prompts; the long tail of clinical apps (Moodfit, Bearable) tackle health-condition tracking. The trade-off is honesty vs. depth — the more friction the daily entry has, the less likely you are to do it. Most people just want a one-tap mood selection plus an optional note, then a calendar heatmap and a few stats. The reason to build your own is privacy: this is some of the most personal data a tool can hold, and trusting a $5/month subscription service with it feels increasingly off given how often free-tier apps end up surfacing your data to advertisers.

Common features

  • Daily mood selection (1-5 scale or emoji set)
  • Optional per-day note and activity tags
  • 52-week calendar heatmap
  • Streak counter
  • 30-day and 90-day rolling-average chart
  • Per-activity correlation (e.g. ran today → mood was higher)
  • PWA so it lives on your phone home screen
  • Reminder notification at a chosen time
  • Export to CSV for personal analysis or therapy review
  • Local-first option so data never leaves your device

Real-world examples

Personal mood tracker

Daily one-tap check-in, optional note, calendar heatmap, monthly rolling average. PWA on the phone home screen.

Therapy-supportive journal

More detailed entries — mood, energy, sleep, anxiety. Per-month review surfacing patterns for sharing with a therapist.

Quantified-self journal

Mood tagged with activities and metrics — workout, caffeine, sleep hours. Correlation views to spot what actually moves the needle.

Why FloopFloop fits mood journal projects

Mood data is private in a way bookmarks aren't. Daylio's free tier is fine until they sell to someone who decides the data is monetizable. FloopFloop lets you run a mood journal on your own subdomain, with your own database (or local-first if you choose), and the exact entry friction you'll actually keep up with. No upsells; no future-acquisition risk; no ads on the page that shows yesterday's anxiety level.

Probieren Sie diese Prompts aus

Kopieren Sie einen der folgenden Prompts und fügen Sie ihn in FloopFloop ein, um zu starten.

Build a Daylio-style mood journal. 5-emoji mood picker (Awful / Bad / OK / Good / Great) with an optional note field. One entry per day, re-submitting overwrites. 52-week × 7-day calendar heatmap as the signature visual — each cell colored by mood (negative-tier for Awful/Bad, muted for OK, positive-tier for Good/Great). Stats row: current streak with a grace-day so '0' doesn't surface at 9am, 30-day rolling average, total entries. Recent-entries list with relative-date labels.

Create a CBT-style 'thought record' journal. Each entry captures: the situation, the automatic thought, the emotion (5-point intensity slider), the evidence for/against the thought, and a balanced reframe. Color-coded by emotion category (anxious / sad / angry / shame / joy). Weekly digest emails a summary of the most-frequent thought patterns via Resend.

Design a 1-second-a-day video journal. Each entry is a short note (140 char max) + a single mood emoji. The home view stacks every entry in a stream sorted by date. A 'play through year' button cycles through all the year's entries one second each — a personal year-in-review montage.

Build a sleep+mood correlation tracker. Each day captures hours slept, sleep quality (1-5), mood (1-5), and optional caffeine/exercise/screen-time flags. The dashboard plots a 30-day scatter of sleep-hours vs next-day-mood with a fitted line, so the user can see their own causal hint (this is the actionable feedback Daylio doesn't give you).

Häufig gestellte Fragen

How does this compare to Daylio / Moodflow / Reflectly / Stoic?
Daylio is the dominant app in this space; the FloopFloop-generated version covers the same daily-checkin + heatmap-visualization pattern with no subscription paywall on history depth or export. Moodflow and Reflectly are more guided-prompt apps (CBT thought records, gratitude entries); the second example prompt above generates that style. Stoic is journaling-with-philosophy; refine with 'add a daily-quote field from the stoic-quotes table' for that variant. The key differentiator: ownership. Daylio's data lives in their cloud; the FloopFloop version lives in your browser (or your own Postgres) and exports as JSON whenever you want.
Where is my data stored?
The default template uses browser localStorage so the journal works instantly with no signup. Entries live on whatever device you're typing on and don't sync across devices. Refine with 'add a Postgres backend so entries sync across devices via a login' to move to server storage — the codegen scaffolds the schema, the API routes, and the sync logic in one round. The scanner blocks every external database (Supabase / Firebase / MongoDB) so the data stays on your own per-tenant Postgres schema. Particularly important for mood data — it shouldn't end up training someone else's model.
Does the streak counter reset if I forget a day?
Yes — the streak is consecutive-days-logged. With one twist: the counter has a grace-day at the start of the current day so the page doesn't read '0 streak' at 9am before you've had a chance to log today. If yesterday was logged but today isn't yet, the streak still counts yesterday's run. Once midnight passes without a new entry, the streak drops to zero. Refine with 'add a daily push-notification reminder at 9pm if today hasn't been logged' to keep streaks alive (the codegen wires the service worker + the daily-reminder check).
Why a calendar heatmap?
The heatmap (GitHub-contribution-graph layout — 52 weeks × 7 days) is the highest-information-density visualization for daily binary-or-ordinal data. A user can spot mood-cycles, seasonal slumps, and the months they were most consistent at a glance without scrolling. Daylio buries the equivalent view behind a paid tier; here it's the first thing you see.
How private is this?
Default template: data never leaves your browser. No analytics call, no server logging of the entries, no third-party scripts loaded on the page. The Floop platform itself (the chrome around the tenant project) does run analytics on aggregate page-views, but never on the entry content — that lives in localStorage on your device only.
Can I export my entries?
Not in the default template. For export refine with 'add an /export button that downloads my entries as a single .json file' (one round to wire) or 'add a CSV export with date/mood/note columns'. For the import case (coming FROM Daylio): refine with 'add an /import page that accepts the Daylio backup .zip, parses the entries.json inside, and inserts each into my journal'. Daylio's export format is stable enough to parse in a single codegen round.
Does it handle multiple time zones if I travel?
All date math is local-time (YYYY-MM-DD keys derived from `Date.get*` not `toISOString`). An 11pm entry in PT files under that calendar day in PT; the next morning in JST the SAME entry is still that PT date. Streaks compute against the browser's current local-time day boundary. If you cross the date line and log on both sides, you can technically log two entries for what feels like 'the same day' — the upsert-by-date logic dedupes against the calendar-day key, not the wall-clock 24-hour window.

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