Loddlenaut is an exceptional Adventure/Casual that raises the bar for the genre.
91
Verdict
98%
Steam
80
IGDB
Verdict score based on confidence-adjusted Steam reviews?
Overwhelmingly Positive on Steam (98% positive from 5.5K reviews)
Critically acclaimed (80/100 critic average)
Rich open world to explore
Standout indie gem
No significant drawbacks reported
Loddlenaut is an ocean cleanup adventure set on a vibrant alien planet. Play as an interstellar custodian sent to clean up a polluted ocean planet. Repurpose marine debris and take care of axolotl-like alien creatures! As you clean up the planet, you’ll run into axolotl-like aliens known as “loddles.” Protect them from the polluted waters and feed them aquatic fruits while you make their planet habitable again. Depending on their diet, loddles will grow in different ways and develop unique traits and abilities that will further enable them to survive on this polluted planet.
Runs well on modern hardware.
Last updated 3d ago
This was one of my favorite games I've played in a long time. It's the perfect combination of an underwater Powerwash Simulator and a small-scale Subnautica (but every creature is some variation of an axolotl). The style is SO charming and despite the fact the game is relatively short, it's so easy to fall in love with. I got this game on sale, but I absolutely think I'd pay full price.
it took me a long time to give this game a chance but turns out it's an incredibly sweet game with zero pressure once you get a handle of things. really cozy experience from beginning to end, discovering all the different loddles ( axolotl-like creatures ) was really exciting as well. 9/10 definitely recommend !!
This is my first review ever for a game on Steam and I just wanted to hop on over to say IT’S THAT GOOD! It got addicting fast and the simplicity of everything is so lovely. The music is calming, the Loddles are loddling 😆 I love how you can discover different forms as well. I definitely recommend!
Reviews sourced from Steam. All reviews belong to their respective authors.
Data sourced from RAWG, Steam, IGDB, CheapShark, Wikipedia, HLTB, and GX Corner. Sources: rawg, steam, cheapshark, igdb.
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