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Monster Hunter Now: New Update Breaks Game for All Players
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Monster Hunter Now: New Update Breaks Game for All Players

Apr 09, 2024 12:20 PM

Players of the mobile game Monster Hunter Now are experiencing a significant issue after a recent update, as monsters are failing to spawn on the overworld map. This problem, confirmed by players on the Monster Hunter Now subreddit and recognized by the developer Niantic, is preventing the usual gameplay of hunting and tracking large beasts. The developer has acknowledged the glitch and is currently working on a resolution, but no timeframe has been provided for when it will be fixed.

Gathering nodes continue to function correctly, and players can still participate in Hunt-a-Thons, but the primary mechanic of interacting with monsters in the world is compromised. Until a fix is implemented, the community can only wait. Updates will be shared as Niantic provides new information on the situation.

Is Monster Hunter Now still playable despite the update bug?

Despite the bug that prevents monsters from appearing on the map, Monster Hunter Now is still partially playable. Players can use the game's gathering nodes and participate in Hunt-a-Thons, although the main feature of hunting visible monsters is currently unavailable.

Monster Hunter Now, developed by Niantic, is a mobile game that combines the action-adventure and role-playing genres, allowing players to track and hunt creatures in a manner similar to Pokémon Go. Niantic is known for their expertise in augmented reality mobile games, and Monster Hunter Now is an extension of that genre with the captivating Monster Hunter universe established by Capcom, known for its rich gameplay and world-building, where players take on the roles of hunters in fantastical landscapes.



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Casey Loh

Casey Loh is a tech-savvy writer who specializes in the intersection of gaming and technology. With a background in computer science, Casey brings a technical lens to her reviews, breaking down the nuts and bolts of game engines, graphics, and AI innovation.

Read more articles from: Casey Loh

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