A summary of 2025 performance and intro to personametry.com
It is the time when I share my Performance metrics for the previous year, this card pretty much sums it up, logging 8700 hours, with 3006 time entries, tracking close to 24 hours per day:
Background
For the last ten years I've been running an experiment in logging my time spent activities like: Work, Family, Me Time, Sleep, Spirituality, etc. In 2015 I developed a model for personal development, called RAGE (Reality, Aspiration, Goals, Expectations). In 2016, I got more serious by inspecting my time across all areas of my life against my RAGE model, which triggered deeper reflection on my aspirations versus reality. For the first three years, I maintained a rhythm of personal monthly performance reviews (PMPRs) and then transitioned to quarterly, mid-year and final year reviews. At the start of each new year, I would dive deep into the previous year's data - build analytics and dashboards, which I shared on this blog.
Context about my workflow - the early days
In the early days, my process for insights was quite manual. Logging my time was easy, using Harvest App, which I'd been introduced to by a good friend, Farid - around the time I switched to professional consulting, servicing some contracts with Crossbolt that expected Harvest timesheets for billing. Incidentally, Farid was the source of inspiration for me to critically think about Reality V Aspirations that led to me creating my RAGE model.
Generating reports initially started with exporting from Harvest, and importing to Excel and running pivot tables and charts, using content for my blog posts. I needed a way to transform the Harvest data to higher level constructs - so I transitioned to Amazon Quicksight (now Quick Suite), using an AWS Free Tier account. Quicksight was useful in acting as a yearly dataset, creating analysis that I would have done in Excel (so replaced excel) and created the dashboards, which I'd then copy and share in this blog. A downside of Quicksight is it's a closed system, had no way of publishing dashboards for public sites (like Google docs embedded pages mechanism). The free tier also prevented me from using its built-in insights features, and more recently Quicksight's AI analysis. I added Google slides to my workflow, sharing my deep dives as in this post. As AI tooling emerged, I transitioned to AI analysis as described here.
Introducing my latest workflow - finally, the Personametry Dashboard is born - ZERO Workflows
I spent just under 5 days building my Personametry app with Google's Antigravity as my coding partner. What a journey (look out for a future post). Since November 2025, I've been learning how to build apps with Antigravity, at first building my SMT app, then building tools for work - and I had enough insights to get Personametry app built. What's my new workflow then? Everything is now automated, apart from my manual time logging. I've built a dashboard that syncs daily with Harvest data, through an automated GitHub actions workflow that pulls time entries via the Harvest API. Harvest is so cool that they allow even free users full access to their APIs. An automated data transformation job runs that cleans up the data and transforms it just the way I used to do the meta level transforms using Quicksight. So no more Quicksight. All the dashboards refresh automatically. I no longer need to create Google slides anymore. At the start of each year, I'd usually spend about a week's time analysing, reflecting and creating dashboards. Now my analysis can be anytime, with zero manual work. Giving a week's time back! Yes, anyone has access to my data and dashboard, I don't mind sharing because I believe other folks could benefit from my experiment, decide to start their own tracking journey or build an app for themselves. The codebase is on GitHub.
Personametry.com is more than just a dashboard - introducing Machine Learning
With my rich dataset, there's opportunities for applying machine learning forecasting techniques and instrumenting goals. Check out the Machine Learning page. I can now tune my personas and in real time see the effects, example: If I reduce my sleep hours, where would the gains go? If I reduce my work hours, subject to constraints, what can I do? If I invest in health and fitness, what's the impact on Family time, etc. For me, this is a game changer. The app will evolve and learn as the dataset is updated, without having to change code or do manual imports! I might have to tweak the code just a little to cater for special years like sabbatical breaks though.
What's next - where am I going with this?
Version 1.0.0 is now live! Depending on how much time I have in 2026, I will look at embedded AI data driven analysis into Personametry.com, leverage conversational analysis. Ultimately I'm still striving to build the perfect personal assistant that just "knows" me. I will look at bringing in additional data sources like Strava, Netflix, Youtube, even integrating Islamic and Gregorian calendars. And finally I'll hook in a RAGE scorecard to match my time against the RAGE model! I could also turn this into a paid platform service, creating a platform for anyone to sign up and build their own RAGE model personas and track with Personametry.com!
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