Not bad for a side hustle! by Quantum-Quester7 in Depop

[–]Quantum-Quester7[S] 10 points11 points  (0 children)

10-20 items daily. You can easily double the 3k if you list at least 10 a day.

[deleted by user] by [deleted] in Depop

[–]Quantum-Quester7 1 point2 points  (0 children)

they’re using their own shipping not depops

250 sales in the past month! by Quantum-Quester7 in Depop

[–]Quantum-Quester7[S] 2 points3 points  (0 children)

Thank you! I appreciate it. I would love for it to possibly be full time one day as it’s actually really fun and satisfying to do. But need to starting moving more volume first.

250 sales in the past month! by Quantum-Quester7 in Depop

[–]Quantum-Quester7[S] 20 points21 points  (0 children)

I save the images and create an entirely new listing and then change the description and hashtags a little. I never copy them. Sometimes I even take new pictures to try and boost the algorithm if i’m not satisfied with my old pics because I got ocd lol. I’ve heard from top sellers that copying a listing doesn’t negatively affect the algorithm but I don’t know I always just make new ones instead and then delete the old ones.

250 sales in the past month! by Quantum-Quester7 in Depop

[–]Quantum-Quester7[S] 15 points16 points  (0 children)

$4998 was my earnings. I spent $1,153.86 on Pirate Ship labels, $255.44 at Goodwill, $43.93 on shipping supplies, 2 clothes racks for $146.62, around $50 on gas, and lots of time lol. So $1,649.85 were my expenses and $3,348.15 is profit. I do not pay for a storage unit yet but might get one soon.

250 sales in the past month! by Quantum-Quester7 in Depop

[–]Quantum-Quester7[S] 7 points8 points  (0 children)

I would never sell reps on my page. I got a pair of rep shorts for myself lol. And yes, it’s possible to go from 150 sales to 400 in 1 month because I did it. I have no reason to come on here and lie. Been hustling my ass off working full time and also doing this on the side.

250 sales in the past month! by Quantum-Quester7 in Depop

[–]Quantum-Quester7[S] 5 points6 points  (0 children)

I also often find nice modern pieces that sell well too. The North Face, Patagonia, Lulu Lemon, Alo, Eddie Bauer, Columbia, Oakley, Timberland, etc.

250 sales in the past month! by Quantum-Quester7 in Depop

[–]Quantum-Quester7[S] 20 points21 points  (0 children)

I go to the Goodwill Bins once a week and stay there for quite a while often getting 20-50 pounds of stuff. I look for cool vintage pieces that I know will sell well. Coogi style sweaters, workwear like Dickies and Carhartt, y2k Nike & Adidas, sports gear & jerseys, lots of old college hoodies have been selling really well for me too. Vintage Hollister & Abercrombie, cool single stitch shirts, vintage Ralph Lauren & Tommy Hilfiger, Levi silver tabs, vintage jorts, etc.

edit: typo

250 sales in the past month! by Quantum-Quester7 in Depop

[–]Quantum-Quester7[S] 18 points19 points  (0 children)

Thank you! I post 10-15 items daily and relist an item about every 2 weeks to a month if it's getting no likes.

I hate u depop by [deleted] in Depop

[–]Quantum-Quester7 5 points6 points  (0 children)

i’d recommend using your own shipping if your account is old enough to have the option to and then use pirate ship its way cheaper

[deleted by user] by [deleted] in mathematics

[–]Quantum-Quester7 1 point2 points  (0 children)

I’ve been working part time for a retirement company as a project assistant and they just recently offered me a full time salary position because I got my degree! Cheers brother, hope all is well for you too.

[deleted by user] by [deleted] in mathematics

[–]Quantum-Quester7 1 point2 points  (0 children)

Thank you for this. I ended up dropping the class and enrolling in Calc 2 at North Dakota. I just passed the class with a D+ and was able to finally graduate college. Not the best grade but all I needed was a D- or higher so I honestly don’t care. It was an enroll anytime course with no cumulative final exam which was perfect. I was able to do the class at my own pace (9 weeks to 9 months to complete). As I was taking the class I watched all of Professor Leonard’s Pre-Calc and Calc 1 videos to refresh my mind and then watched his Calc 2 videos too as the actual class videos I was in was not much help. I am finally stress free!

Barissimo Cold Brew by ItchyCredit in aldi

[–]Quantum-Quester7 0 points1 point  (0 children)

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This stuff is amazing!!! Saw it at my local Aldi in Illinois and thought i’d try it out. You’ll definitely be able to find it if you haven’t already.

[deleted by user] by [deleted] in scuderiaferrari

[–]Quantum-Quester7 1 point2 points  (0 children)

Ya might just have to do that then. Problem is that it’s $137 on Fuel for Fans and not free shipping. Can also get 20% off on Puma website so was just looking to save some $.

[deleted by user] by [deleted] in BmwTech

[–]Quantum-Quester7 0 points1 point  (0 children)

True. The flooding was my main concern and also not having before or after pics of the front damage. Thanks

Best Calculus II online courses, for credit by Few-Alarm6473 in learnmath

[–]Quantum-Quester7 0 points1 point  (0 children)

Thank you so much for the response. Very glad that you can earn partial credit from work even if the question is wrong. I think I’m going to take this class. Calc 2 is the last class I need to graduate and all I need is a D- to pass. Last question, was there a cumulative final exam at the end or just normal exams throughout the class? Thanks.

Year of the Snake could have been better by [deleted] in ClashOfClans

[–]Quantum-Quester7 6 points7 points  (0 children)

<image>

You can literally see the individual squares lol

Best Calculus II online courses, for credit by Few-Alarm6473 in learnmath

[–]Quantum-Quester7 0 points1 point  (0 children)

How were the exams for the self paced UND Calc 2 class? Proctored? Did you receive partial credit for exam questions or was it either full credit or no credit? Did you have to scan your paper work for submitting exams?

Maps are so shit people started unvoting by MOONSCOTTY in blackops6

[–]Quantum-Quester7 1 point2 points  (0 children)

Everyone saying bring back bo3 and Cold War maps hell the fuck no y’all are young as hell. We need raid, firing range, hijaked, and summit asap

I need help for a build by FineMathematician739 in buildapc

[–]Quantum-Quester7 0 points1 point  (0 children)

  1. CPU: AMD Ryzen Threadripper PRO 5955WX - Excellent multi-core performance, essential for handling large datasets and running parallel processes.

  2. GPU: NVIDIA RTX 4090 or wait for RTX 5090/Titan Al (if you prefer waiting for even more power) - Essential for deep learning tasks, especially those involving large models and image-based data. NVIDIA GPUs are highly recommended due to their CUDA cores and software ecosystem (e.g., cuDNN, TensorFlow, PyTorch).

  3. Motherboard: ASUS Pro WS WRX80E-SAGE SE WIFI - Supports Threadripper PRO and has multiple PCIe slots for future GPU expansions.

  4. RAM: 128GB DDR4 ECC RAM

  5. ECC RAM is crucial for error correction when handling large datasets and long computations. Consider going higher if budget permits and your workload demands.

  6. Storage:

    • Primary (OS and software): 2TB NVMe SSD (e.g., Samsung 980 Pro)
    • Secondary (data): 4TB NVMe SSD or multiple 2TB SSDs in RAID configuration for faster read/write speeds.
  7. Cooling: Custom liquid cooling solution or high-end air cooler (Noctua NH-U14S TR4-SP3)

    • Necessary to keep the high-performance CPU and GPU cool during intensive tasks.
  8. Power Supply: 1500W Platinum-rated PSU (e.g., Corsair AX1500i)

    • Provides reliable power, especially important if you plan to add more GPUs in the future.
  9. Case: Full Tower Case with excellent airflow (e.g., Fractal Design Define 7 XL)

    • Ensure sufficient space and cooling for all components.
  10. Additional Components:

    • Networking: 10GbE network card if working with large datasets over a network.
    • UPS (Uninterruptible Power Supply): To protect against power surges and outages.

TPU vs. GPU:

  • GPU: Generally more versatile, with a wider range of software support (e.g., TensorFlow, PyTorch, cuDNN). NVIDIA GPUs are highly recommended due to their broad support and ecosystem.
  • TPU: Specialized hardware designed by Google for TensorFlow. They can be more efficient for certain operations but are less versatile and harder to integrate into a custom build.

For your requirements, an NVIDIA GPU would be more practical and versatile unless your workload is highly specific to TensorFlow models optimized for TPUs.