Last updated: September 14, 2024 at 02:25 AM
Summary of Reddit Comments on "Grilla OG"
Grilla OG Pellet Grill
- Users who own the Grilla OG give positive feedback about its performance:
- "The OG is a great small to mid size pellet smoker."
- "Great looking bark."
- "Looks good."
- Some users mention issues with smoke flavor:
- "The only way I get smoke flavor is to first cold smoke the meat with a pellet tube."
- Consider using PID mode instead of Pro mode for better smoke infusion.
- One user had a service issue but was eventually helped:
- "Lackluster service experience."
- Received a free auger motor from Grilla Grills after contacting customer service.
Comparison with LSG Pellet Grills
- Users compare Grilla with Lone Star Grillz (LSG):
- "LSG is the better choice and last pellet smoker you'll ever need."
- "LSG definitely looks like it’s built to last a really long time."
- LSG is recommended for those willing to invest in a higher quality grill:
- "LSG if you have the coin."
Recommendations for Pellet Grill Brands
- High-quality pellet brands mentioned for better results:
- "People generally like Jealous Devil, CookinPellets, LumberJack, Bear Mountain."
- "Stay away from manufacturer or store branded pellets."
- Yoder is also recommended as a good alternative to LSG.
- Pellet smoking experience is noted to be more subtle compared to traditional wood smokers.
Other Information
- Users share their experiences with Grilla Silverbac and LSG Mammoth:
- "Mammoth has quirks but still loved."
- "Silverbac works well with a smoke tube."
- Cleaning the Silverbac Alpha model is a consideration for potential buyers.
Jerky Making on a Pellet Smoker
- Users discuss making jerky on their pellet grills:
- "Jerky can be made in about 2 hours on the smoker."
- "Marinated eye of round for 36 hours and smoked at ~200°F for 2 hours."
By summarizing the comments, it is evident that Grilla OG owners appreciate its performance, but some users recommend considering LSG for higher quality. Tips for improving smoke flavor and brand recommendations were also shared among users.