Hi, I'm Daniel π
Apps built for curious minds
I'm an indie maker who builds apps around the things I'm passionate about β geography, football, and making everyday life a little smarter.
Explore my apps βHow well do you know your world?
Pin cities and landmarks on a live map, race the clock, and discover something new every day. Part trivia, part challenge β all geography.
- β¦ Daily Challenge β one fresh puzzle, every day, for everyone
- β¦ Three modes β Classic, Precision & Daily Challenge
- β¦ Global leaderboards β compete with players worldwide
- β¦ Learn fun facts about cities & landmarks as you play
Predict the 2026 World Cup. Prove you know football.
Make score predictions for every match or pick your bracket. Compete on global leaderboards or set up a private league and settle the debate with your friends.
- β¦ Classic Mode β predict exact scores, match by match
- β¦ Bracket Mode β pick who advances, round by round
- β¦ Private leagues β compete with your own crew
- β¦ Syncs between the iOS app & the web
Never run out of the essentials again.
SupplySavvy tracks your household inventory and reminds you to restock before you run out. Set it up once, and it quietly keeps your home stocked.
- β¦ Smart tracking β learns your usage patterns over time
- β¦ Timely reminders β notified before you run low
- β¦ Home screen widget β at-a-glance inventory view
- β¦ Works on iPhone, iPad, Mac & Apple Vision
Know where every team will finish before the season ends.
ScoreSensei runs thousands of season simulations to predict final standings across top football leagues. See title odds, UCL qualification chances, and relegation risk β all in one table.
- β¦ Season simulation engine β thousands of scenarios run per league
- β¦ End-of-season probabilities β title, UCL, UEFA, relegation
- β¦ Match-level predictions across major global leagues
- β¦ Free to use β no account required
Harvest intelligence for sugarcane operations.
A custom analytics dashboard built for a sugarcane farming operation in South America. Brings together production data, field-level yields, and historical trends into a single view.
- β¦ Production KPIs β total tonnage, yield per hectare, area covered
- β¦ Field-level yield breakdown across all lots
- β¦ Historical trend analysis across seasons
- β¦ Age vs yield scatter analysis to identify performance patterns