Looking for a stick vacuum. Not a lightweight one, has to have a power head. It’s for carpet that is constantly walked on with outdoor shoes.

If you like yours, what brand is it and where did you purchase it?

No Dyson’s please, they’re too much $$.

I'm looking for something to supplement my Roomba at home. I'm looking for something to help with vacuuming spaces the Roomba can't get to, such as corners, crevices, anything above floor height, or just for spot cleaning. I'm not sure if I should just go for the cheap Bissell Zing II which would cost ~100 cad, spring for the $500 Miele from Costco, or for something in between.

https://canada.bissell.com/zing-ii-bagged-canister-vacuum-2154C.html

https://vacuumwarehouse.ca/products/simplicity-jill-canister-vacuum-cleaner

https://www.costco.ca/miele-complete-c3-multi-surface-care-canister-vacuum.product.4000176316.html

Another option would be to just go for a cheap cordless stick vacuum instead as my jobs are pretty small. I've used Tineco in the past with great results as I have dust allergies and vacuuming dust form surfaces is miles better for me than any other form of dusting.

Mostly wondering if paying more for Miele is worth the investment!

I’ve been doing analysis on reddit data and was looking at the most recommended vacuum cleaners in r/VacuumCleaners VS other subs. Thought I’d share the results here.

Its part of a side project of mine to play with Reddit data and LLMs. The goal was to create something useful for the community while learning and improving my development skills.

The analysis aims to highlight the most well reviewed vacuum cleaners. It can be taken as a very rough proxy for what’s widely considered the best vacuum cleaners. Hopefully it is a useful data point for anyone overwhelmed by the massive amount of fragmented information out there.

Methodology: For extraction and sentiment analysis, I used the Reddit’s API to scour discussions on vacuum cleaners across all subreddits (filtered for the past year for freshness). I sampled 586 relevant threads and used LLMs to analyze, extract, and categorize opinions from the comments. To identify the product, I used the info in the comment to lookup Amazon. Unfortunately for now the list only shows models available on Amazon (for simplicity’s sake).

For ranking, I calculated the normalized difference and ratio between the no. of positive and negative user sentiments, and used that to determine the final score for ranking.

Caveat: Handling and merging different descriptions, model numbers, abbreviations etc, and associating them with the right variation is non trivial, so its not 100% accurate. Let me know if you spot anything wrong or surprising.

Source: RedditRecs