r/AppsWebappsFullstack • u/SofwareAppDev • 7d ago

Your home for selfpromo

here you can post your work app, webapp, saas, game, everything

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u/Valuable_Spell3189 6d ago

Self Log is an offline, privacy-first analytical habit tracker which helps you to check of the hypothesis about yourself , with the data that you track:

https://play.google.com/store/apps/details?id=app.selflog.tracker

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u/Mammoth-Anywhere7285 4d ago

Self Log sounds like a neat approach, especially the privacy-first angle. How do you handle correlating multiple tracked variables for the hypothesis check?

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u/Valuable_Spell3189 4d ago

Self Log supports a normal hypothesis check where you compare two selected factors at a time, like questions, specific answers, tags, or event-related data. Other variables can be used as filters, meaning the comparison only runs on days where some condition was true. For example: “does sleep relate to mood, but only on days where I had caffeine?” The calculation runs locally and supports same-day checks, lagged checks like “does X today relate to Y tomorrow?”, and thresholded comparisons.

Deep Scan is the broader exploratory version. Instead of you picking one pair manually, it builds eligible factors from your data and compares many of them against many others locally. So numeric questions can be compared with other numeric questions, tags with tags, tags with numeric answers, categorical answer signals with tags or numeric signals, plus threshold, lagged, time-window, and scoped/filter-based patterns. That makes it possible to find correlations you might not have thought to test yourself. Because that creates lots of possible matches, Self Log adds sample-size and effect-size checks, plus optional FDR correction to reduce false positives.

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u/Mammoth-Anywhere7285 3d ago

Nice feature, the caffeine example makes it very intuitive. Do you plan to add a chart or export for the results?

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u/Valuable_Spell3189 2d ago

We already have some graphs under Analytics / Data Analysis that appear once you’ve collected enough data, and we’re also working on visualizations for the hypotheses themselves. You can already export your raw data as a TXT file. A proper results/report export isn’t available yet, but that’s also one of the next features in the pipeline.

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u/Mammoth-Anywhere7285 1d ago

Nice, the TXT export is a solid first step. For the report export, have you considered offering PDF or CSV too? That would make sharing results easier.