
No revenue estimate for GOG — its rating/review counts don't calibrate to sales the way Steam's do. The Steam version is estimated at $1.7M — a different platform, not this one.
while True: learn() is a puzzle/simulation game about even more puzzling stuff: machine learning, neural networks, big data and AI. But most importantly, it’s about understanding your cat. In this game, you play as a coder who accidentally found out that their cat is extremely good at coding, but not as good at speaking human language. Now this coder (it’s you!) must learn all there is to know about machine learning and use visual programming to build a cat-to-human speech recognition system. This game fits best for... - People who want to know more about how machine learning and related technologies work - Parents and teachers who are looking for a fun and easy way to make an intro to logical thinking, programming, and technologies for kids - Programmers who want to learn new concepts that they can apply to their own coding - Those who want to play games and not feel guilty about ‘wasting their time’ (although we believe you shouldn’t feel guilty at all while playing games!) - Players who like to keep their brains busy and working in different ways, while still having fun - Gamers looking to improve their problem-solving skills and feel immense sense of satisfaction and achievement that comes along with it - People who like smart cats Learn how machine learning works in real life! The game is loosely based on real-life machine learning technologies: from goofy Expert Systems to mighty Recurrent Neural Networks, capable of predicting the future. Don’t worry: it all plays out as a puzzle game. No coding experience required! Train yourself into a data science wizard! Drag objects around your screen with a mouse! Connect them with lines (oh yeah)! Try. Fail. Optimize. Try again. Then press “Release” button and see that sweet pieces of data flow smoothly through your screen. Embrace an adventurous lifestyle of a machine learning specialist! Designing a groundbreaking technology requires time, experience and money. That means you’ll have to work as a freelancer, with all the excitement that comes along with it. Receive emails! Accept contracts! Sit alone in a dark room for days without saying a single word! Socialize on forums! That’s what real data scientists do! Coding just got real! Our quests are based on actual problems, solved by machine learning. This includes building a self-driving car (with your cat as a pilot). And if you really want to test your programming might, you can become a CTO of a startup: it’s your skills and your schemes against the savage laws of the market! Earn a fortune, flip off your bosses and become a tech guru… Or lose everything and crawl back to the doorstep of HR department: at least it was worth trying, right? Improve your gear, improve your life! Once you ensure a stable cashflow, you’ll be able to buy yourself a bunch of fancy hardware to improve your performance. But it’s not just about the hardware! Buy yourself a new smartphone or a geeky figurine! Buy fancy outfits for your cat! Hell, you can even buy yourself an aloe! Fun fact: this is what machine learning specialists actually do. Now, you can become one of them (minus the money)! while True: learn() is the best game about being a data science specialist because no one else has been weird enough to make another one!
Prices
Each in the currency that store quoted — not converted: the gap between two rows is the publisher's pricing, not an exchange rate.
Every market we collect.
Discounts
Every price cut of more than 20% we have observed, in each market that quoted one, with this game's chart position on either side of it. These are episodes, not a model: a sale is one event, and one event cannot tell you what the next one will do.
Reviews, worldwide (the counter carries no country): 0/day in the week to Aug 27 → 0/day in the week after.
For scale, across GOG · Trending · United States over the last 30 days: the 141 chart moves that followed a price cut of more than 20% went a median of 2 places away from #1, and the 6,571 moves with no price cut behind them went nowhere. One store, one chart, one country — it is the only place we have enough observations to say even that.
Prices outside the United States have been collected since 6 August 2026 and chart positions since 19 July 2026, so a cut older than that has no market to compare and a market that joined later has no history yet. Nothing here is converted between currencies.
About
Genres
Stats
How fast this game is gaining ratings — the activity signal available where a store publishes no sales or install numbers.
Measured from our own daily snapshots, not reported by the store. Deliberately not converted into sales: a one-tap rating's ratio to copies sold is unknown on this platform, and guessing it would be worse than leaving it out.
Sums Steam + Google Play only; GOG, PlayStation, Xbox, Epic, Nintendo publish no volume signal, so the true total is higher by an unknown amount.
| Store | Price | Audience | Score | Chart | Est. revenue |
|---|---|---|---|---|---|
GOGYou are here | $12.99 | 34ratings | 62% | — | not modelled |
| $7.79−40% | 8.2Kreviews | 91% | — | $1.7M | |
| $4.99 | 1.2Kratings | 96% | — | $135.3K | |
| $14.99 | 63ratings | 80% | — | not modelled | |
| $14.99 | 26ratings | 94% | — | not modelled | |
| $12.99 | — | 90% | — | not modelled | |
| $12.99 | — | — | — | not modelled |
Matched by title — a reused name can pair the wrong games. * is a critic aggregate. Prices and positions are each store's United States storefront; Epic charts worldwide. Audience and Score too, except Steam's, which is worldwide.
Media
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Price dynamics, follower growth, revenue and sales trajectories with interactive tooltips
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Related
| Game | Estimated lifetime revenue | Reviews | Review score | Price |
|---|---|---|---|---|
| — | 196 | 92% | $19.99 | |
| — | 49 | 84% | $0.99 | |
| — | 16 | 78% | $14.99 | |
| $1.7M | 8.2K | 91% | $7.79 | |
| — | 17 | 84% | $12.49 | |
| — | 30 | 86% | $4.19 |