11 most recent App Store reviews, unedited. Searchable, and counted for the banks and topics people mention.
Plain string matching against a fixed list of institutions and topics — no model, no judgment. Each chip filters the list to the reviews that say it.
I love the layout and tracking. It neatly displays which holding I have and the percentage distributed between each. The ONLY improvement I ask for is widgets. Please create widgets that display different aspects within the app for the homepage so we can get a quick glance without having to go into the app.
Simple clean and effective net worth tracking app, shows assets and liabilities, some features lacking but can’t complain on a free app
Definitely a 5 stars
really nice design, was able to add many crypto accounts
Five stars
At first, this app seemed like just ‘another portfolio tracker’ but I was really surprised by how many different assets it supports. Another thing is the list of available metrics and details for each asset - looks like those who made it really understand what matters and how things should work. I tried this app after a friend’s recommendation and honestly its more than I expected
Love this app! It makes such a detailed analysis for all of my assets types.
This is a great app that will help to put together all the information you’re looking for when you have multiple income sources. Highly recommend
I’ve been looking for an app that can help me get the clear picture of everything I own and owe and I finally found one that works!
There are many different applications, but none of them can properly calculate IRR for stocks with dividends, much less for bonds. Or do an IRR calculation for a leveraged or unleveraged property. Or provide basic functionality for calculating positions for startups. With 8FIGURES I can make it
I love the idea that now I can have a single app to manage my stocks, startups and real estate. It’s really neat!
Fetched 2026-10-24 23:26 UTC from the store’s recent-reviews feed, which caps at about 500 per app. Review text belongs to its authors and the store; it is not part of the open dataset. This page is kept off search indexes.