Remote code for cisco rng 100

Apple Enterprise: Enterprise Mac and iOS Administration

2014.02.18 21:43 Specken_zee_Doitch Apple Enterprise: Enterprise Mac and iOS Administration

Information on managing Apple devices in any environment.
[link]

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submitted by AutoModerator to PrizePicks [link] [comments]

2024.05.19 18:59 Early-Advance-5670 Sales Engineer Question

Hello All!
I've been looking at job postings and one that keeps popping up is Sales Engineer, that I am gravitating towards. However, one thing that I am concerned over is the travel.
Not because I'm against some travel, but because I don't have a license, and I am epileptic so there's a chance I could lose a license (when I get it again).
Do you guys find, as a sales engineer, you travel a lot to remote locations. Or is it generally in a place you can get to via public transit? I assume a car may be required but thought I'd ask.
Also, if so, is there a role comparable I may not be thinking of where travel may not be as required.
I am currently a Network Support Engineer, studying for my CCNP and have around 7+ years industry experience so plenty of experience, just not specifically with certain vendors in-depth. (Forti, Palo, Cisco etc.) in the last few due to the nature of my role.
Thank you,
submitted by Early-Advance-5670 to networking [link] [comments]

2024.05.19 18:55 Dragonslay3r62111 Delete if not allowed

Delete if not allowed
Absolutely avoid this seller, sent me a dead ssd then tried to blame it on me saying I swapped the units, upon opening a return I found he uses a fake return address which delayed the case enough that eBay closed in his favour since I “didn’t return the item”, he then deletes any negative feedback he gets
submitted by Dragonslay3r62111 to pcmasterrace [link] [comments]

2024.05.19 18:54 0bv10v5thr0w4w4y Any advice on translating my ad strategy background to a STEM field? Thoughts on educational options?

Thanks in advance for taking the time to read this.
I’m currently doing advertising strategy remotely at an agency. The hours are horrible. I recently spent a week in the hospital for a stress related illness. My team has repeatedly asked for help, and I’ve tried to make this job work, but things aren’t getting better. I need work/life balance and would love to do meaningful/helpful things with my time on earth.
Specifically interested a few things:
—-
Background: 34F with 12 years of experience in tech web/marketing/advertising and a BA in English from a state university. Willing and happy to relocate - no family to bring with.
My GPA in undergrad was something like 3.5. (Wish I’d cared more, but live and learn.) As far as my application goes, I’ve worked for high-profile, household name tech companies, and have a former VP and director willing to write recommendations.
I’m interested in MSc programs that accept a variety of backgrounds (for example, Design + Innovation at UW), but I have mixed thoughts on the longevity of these sorts of degrees and what I’d be able to do post-graduation. Also considered stuff like ML, biotech, and NLP. I am 100% willing to take remedial STEM courses. My highest math class was calculus, and I know some Java and Python.
TYIA. In response, I’m happy to answer any advertising career questions you have.
submitted by 0bv10v5thr0w4w4y to careerguidance [link] [comments]

2024.05.19 18:46 Peemlock [P] Text to Openpose and Weird RNN bugs

I want to create AI that generate openpose from textual description for example if input "a man running" output would be like the image I provided Is there any model architecture recommend for me?
my data condition is
https://preview.redd.it/2p971ugcbe1d1.png?width=900&format=png&auto=webp&s=88e9d230c2b02fbe9e5f788a5191692f2827dfd0
I trying to train RNN for this task and I use sentence transformer for embedding text and then pass to RNN and the loss is look like image below
from sentence_transformers import SentenceTransformer sentence_model = SentenceTransformer("all-MiniLM-L6-v2") text = "a man running" text_input = torch.tensor(sentence_model.encode(text), dtype=torch.float)
My RNN setting
embedding_dim = 384 hidden_dim = 512 num_layers = 3 output_dim = 180 num_epochs = 100 learning_rate = 0.001 rnn_model = RNN(embedding_dim, hidden_dim, num_layers, output_dim)
https://preview.redd.it/2l6i3iq4pe1d1.png?width=578&format=png&auto=webp&s=de9a43998b5d06da9c95beefb47541c18c353e2f
but the problem is whatever I input the output is the same everytime! but when I try changing num_layers to 1 and keep other setting the same like this
embedding_dim = 384 hidden_dim = 512 num_layers = 1 output_dim = 180 num_epochs = 100 learning_rate = 0.001 rnn_model = RNN(embedding_dim, hidden_dim, num_layers, output_dim)
the loss now look like this
https://preview.redd.it/jfu175idre1d1.png?width=578&format=png&auto=webp&s=c435187a313d2227bfe1c2be5c4ff6bd8f7ad8cd
and now the problem is gone !!
Also I try to check the cause of the "output is the same everytime" problem I check dataloader and other code but no problem was found only num_layers=3 that cause the problem num_layers=1 fixed it
This is my training loop
criterion = nn.MSELoss() optimizer = torch.optim.Adam(rnn_model.parameters(), lr=learning_rate) trainingEpoch_loss = [] validationEpoch_loss = [] for epoch in range(num_epochs): step_loss = [] rnn_model.train() for idx, train_inputs in enumerate(train_dataloader): optimizer.zero_grad() outputs = rnn_model(torch.unsqueeze(train_inputs['text'], dim=0)) training_loss = criterion(outputs, train_inputs['poses']) training_loss.backward() optimizer.step() step_loss.append(training_loss.item()) if (idx+1) % 1 == 0: print (f'Epoch [{epoch+1}/{num_epochs}], Step [{idx+1}/{len(train_dataloader)}], Loss: {training_loss.item():.4f}') trainingEpoch_loss.append(np.array(step_loss).mean()) rnn_model.eval() for idx, val_inputs in enumerate(val_dataloader): validationStep_loss = [] outputs = rnn_model(torch.unsqueeze(val_inputs['text'], dim=0)) val_loss = criterion(outputs, val_inputs['poses']) validationStep_loss.append(val_loss.item()) validationEpoch_loss.append(np.array(validationStep_loss).mean())
This is my Inference
text = "a man running" processed_text = torch.tensor(sentence_model.encode(text), dtype=torch.float) output_poses = rnn_model(processed_text.unsqueeze(0)) print(output_poses.shape) #shape=(1, 180) 1 person is 36 (original data for 1 person is 54 but I change to 36 because I want only x and y and not z so cut out the z axis) and there's 5 person so 5*36 = 180
My question is
  1. Is there any model architecture recommend for this task other than RNN?
  2. Why whatever I input the output is the same everytime when num_layers=3 I'm very confused because the loss wouldn't go down if the model was giving the same output right? that's mean it give the same output in the Inference phase
submitted by Peemlock to MachineLearning [link] [comments]

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2024.05.19 18:42 Snoo-15677 Get up to $500 with MoneyLion using Instacash after opening a RoarMoney account + $55 bonus using my Referral code: $EarnestTerrell547 or by clicking the picture link! (NO Credit Check Required)

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2024.05.19 18:40 Gi0_v3 Looking for a Job/Internship. any suggestion are accepted.

submitted by Gi0_v3 to resumes [link] [comments]

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2024.05.19 18:38 Firefox72 In China The Fall Guy opens in 11th with a shockingly bad $0.71M opening weekend. Just barelly above Madame Web($0.66M). Projected a $1.2M-$1.4M total. The Last Frenzy wins the weekend with $6.77M(-22%)/$83.74M ahead of Hovering Blade with $5.83M. Planet of the Apes in 4th adds $5.28M(-54%)/$20.13M

In China The Fall Guy opens in 11th with a shockingly bad $0.71M opening weekend. Just barelly above Madame Web($0.66M). Projected a $1.2M-$1.4M total. The Last Frenzy wins the weekend with $6.77M(-22%)/$83.74M ahead of Hovering Blade with $5.83M. Planet of the Apes in 4th adds $5.28M(-54%)/$20.13M
https://preview.redd.it/9p86ajrjve1d1.jpg?width=690&format=pjpg&auto=webp&s=4b8e57f97b7d93c2088513e3c9a176eebba4efc3

Weekend Box Office (May 17th-19th)

The Last Frenzy back on top this weekend ending out the new release Hovering Blade which in turn edges of Twilight of the Warriors for 2nd.
Planet of the Apes records a solid 2nd weekend drop to land in 4th.
A slew of romance flicks litter the charts but none really making a significant impact.
Meanwhile The Fall Guy debuts with a dissastrous $0.71M. Below pretty much any other big budget Holywood movie in the last 2 years only really beating Madame Web which opened with $0.66M. It debuted below movies like M3GAN, Gran Turismo, TMNT:MM. Less than 1/3 of the opening weekends of flops like Indy and The Little Mermaid. Nowhere near stuff like Shazam 2 and Dungeons and Dragons.
# Movie Gross %LW Total Gross Total Admissions Weekends
1 The Last Frenzy $6.77M -22% $83.74M 15.16M 3
2 Hovering Blade $5.83M $5.83M 1.03M 1
3 Twilight of the Warriors $5.79M -27% $72.00M 13.19M 3
4 Kingdom of the Planet of the Apes $5.28M -54% $20.13M 3.62M 2
5 18X2 Beyond Youthfull Days $2.25M $2.25M 0.50M 1
6 Strangers When We Meet $1.65M $1.65M 0.29M 1
7 Police Formed Unit $1.54M -60% $68.08M 11.77M 3
8 Spy X Family $1.24M -47% $38.30M 7.13M 3
9 Howl's Moving Castle $0.84M -44% $21.26M 3.90M 3
10 Even If This Love Dissapears $0.83M $1.01M 0.20M 1
11 The Fall Guy $0.71M $0.71M 0.11M 1

Daily Box Office (May 19th 2024)

The market hits ¥97.4M/$13.5M which is down -13% versus yesterday and down -20% versus last week.
Province map of the day:
https://imgsli.com/MjY1Mzg0
The Last Frenzy gains more ground and the new release wins some provinces.
In Metropolitan cities:
The Last Frenzy wins Beijing, Hangzhou, Suzhou and Chengdu
Kingdom Of The Planet of the Apes wins Shanghai, Nanjing and Chongqing
Twilight of The Warriors wins Wuhan, Guangzhou, Shenzhen
City tiers:
Hovering Blade falls out of the top 3 in T1-T3. 18X2 Beyond Youthful Days 3rd in T3 and 2nd in T4 on its release day.
Tier 1: Twilight of the Warriors>Kingdom of the Planet of the Apes>The Last Frenzy
Tier 2: The Last Frenzy>Kingdom of the Planet of the Apes>Twilight of the Warriors
Tier 3: The Last Frenzy>Twilight of the Warriors>18X2 Beyond Youthful Days
Tier 4: The Last Frenzy>18X2 Beyond Youthful Days>Hovering Blade
# Movie Gross %YD %LW Screenings Admisions(Today) Total Gross Projected Total Gross
1 The Last Frenzy $2.63M -6% -36% 54314 0.47M $83.74M $100M-$105M
2 Twilight of the Warriors $2.14M -10% -39% 44373 0.37M $72.00M $90M-$92M
3 Kingdom of the Planet of the Apes $1.92M -18% -59% 34672 0.33M $20.13M $28M-$29M
4 18X2 Beyond Youthfull Days $1.66M / / 70767 0.31M $2.25M $9M-$13M
5 Hovering Blade $1.64M -36 / 65587 0.28M $5.83M $13M-$14M
6 Formed Police Unit $0.51M -21% -69% 17465 0.09M $68.08M $71M-$73M
7 Spy X Family: Code White $0.48M -19% -62% 13561 0.09M $38.30M $39M-$41M
8 Strangers When We Meet $0.38M -52% / 27615 0.07M $1.65M $3M-$4M
9 Even If This Love Dissapears $0.33M / / 31145 0.06M $1.01M $2M-$3M
10 Howls Moving Castle $0.33M -11% -59% 7727 0.06M $21.26M $23M-$24M
11 The Fall Guy $0.18M -35% / 7471 0.03M $0.71M $1M-$2M
*YD=Yesterday, LW=Last Week,
Pre-Sales map for tomorrow
The Romance movie dominates pre-sales for the 520 Day(Unofficial Valentines Day)
https://i.imgur.com/9QBBEcd.png

Kingdom of the Planet of the Apes

Kingdom of the Planet scores a solid $5.28M 2nd weekend. $30M remains its target on the high end.
Audience Figures:
WoM figures: Maoyan: 8.9(-0.1) , Taopiaopiao: 9.0(-0.2) , Douban: 6.4(-0.1)
The scores across the board have gone down since the relese weekend. The movie's gender split has shifted a bit further towards men exceeding 60% with the split now 61-39 compared to 59-41 last week. Women have continued to rate the movie better by on average 0.2 points.
Age distribution remains balanced from the low 20's to the 40+ crowd. Ratings remain in a U shape curve with younger people and older people rating the movie higher while the late 20's early 30's have generaly rated it lower.
# FRI SAT SUN MON TUE WED THU Total
First Week $2.96M $3.76M $4.65 $1.16M $0.97M $0.87M $0.78M $14.85M
Second Week $1.01M $2.35M $1.92M / / / / $20.13M
%± LW -66% -37% -59% / / / / /
Scheduled showings update for Kingdom of the Planet of the Apes for the next few days:
Day Number of Showings Presales Projection
Today 34179 $165k $1.75M-$1.93M
Monday 32621 $61k $0.86M-$1.29M
Tuesday 18257 $4k $0.45M-$0.58M

The Last Frenzy

The Last Frenzy wins the weekend and continues to be the only movie in play for $100M from the Labour Day slate.
Audience Figures:
WoM figures: Maoyan: 9.2 , Taopiaopiao: 8.9 , Douban: 5.7(-0.2)
After the 3nd weekend The Last Frenzy's gender split remains in favor of Women but has shifted a point now being 51-49 vs 52-48 last week. Women have continued to rate the movie more favorable actualy widening the gap to a 0.3-0.4 point margin.
Age brackets wise it remains dominated by the 20-30 brackets but also has a significant portion of older brackets pulling almost 15%. It remains almost non existent with under 20's which make up just a 2-3% margin. People in their late 30's have rated the movie the best.
# WED THU FRI SAT SUN MON TUE Total
Second Week $2.08M $1.84M $1.70M $2.89M $4.14M $1.36M $1.27M $74.56M
Third Week $1.23M $1.18M $1.34M $2.80M $2.63M / / $83.74M
%± LW -41% -36% -21% -3% -36% / / /
Scheduled showings update for The Last Frenzy for the next few days:
Day Number of Showings Presales Projection
Today 53046 $170k $2.32M-$2.52M
Monday 54682 $187k $2.22M-$2.65M
Tuesday 28563 $6k $0.67M-$1.13M

Twilight of The Warriors

Twilight of The Warriors has to settle for 3rd after just about getting edged out Hovering Blade this weekend.
It has now passed $70M
Audience Figures:
After the 3nd weekend Twilight of the Warriors scores remain high. Still sways male with a 54-46 split. Women have continued to give the movie a better rating with the point difference gap now widening to 0.4 points.
Age groups wise it sways a bit younger than The Last Frenzy. Ratings wise its very consistent across the age groups with only a 0.1 variation across the under 20's to the over 40's.
Scores: Maoyan: 9.3 , Taopiaopiao: 9.4 , Douban: 7.4
# WED THU FRI SAT SUN MON TUE Total
Second Week $2.17M $1.94M $1.67M $2.74M $3.50M $1.39M $1.30M $63.80M
Third Week $1.25M $1.16M $1.27M $2.38M $2.14M / / $72.00M
%± LW -42% -40% -24% -13% -39% / / /
Scheduled showings update for Twilight of The Warriors for the next few days:
Day Number of Showings Presales Projection
Today 43809 $155k $2.01M-$2.09M
Monday 43275 $109k $1.60M-$1.68M
Tuesday 23955 $5k $0.78M-$0.90

Other stuff:

The next holywood releases currently scheduled The Fall Guy on May 17th, Civil War and Furiosa on June 7th, Inside Out 2 on June 21st and Despicable Me 4 on July 12th
Some rumors suggest Garfield could release around Childers Day on the 1st of June.
On the Japanese front Doraemon 43 is next on the list with a confirmed May 31st release which was expected as its right on the verge of Children's Day on June 1st.
Haikyu!! The Movie: Decisive Battle at the Garbage Dump will release on the 15th June.
My Next Life as a Villainess: All Routes Lead to Doom! The Movie will also release at some point.

Release Schedule:

A table including upcoming movies in the next month alongside trailers linked in the name of the movie, Want To See data from both Maoyan and Taopiaopiao alongside the Gender split and genre.
Remember Want To See is not pre-sales. Its just an anticipation metric. A checkbox of sorts saying your interested in an upcoming movie.
Not all movies are included since a lot are just too small to be worth covering.
Childrens Day(June 1st):
Childrens Day is more official with Children under 14 getting half a day off. It mostly sees the release of a few animated movies and this year should be no different with Doraemon releasing on the date alongside a local animation.
There will probably be atleast a few more movies scheduled for that weekend including potentialy Garfield.
Movie Maoyan WTS Daily Increase Taopiaopiao WTS Daily Increase M/W % Genre Release Date
Doraemon 43 189k +7k 35k +1k 52/48 Animation 31.05
The Adventure with Dragon 5k +278 3k +100 52/48 Animation 01.06
Dragon Boat Festival(June 10th):
The Dragon Boat Festival lands on a Monday this year which means its gonna be a single day holiday linked to the weekend.
Movie Maoyan WTS Daily Increase Taopiaopiao WTS Daily Increase M/W % Genre Release Date
Civil War 22k +2k 26k +2k 75/25 Drama/Action 07.06
Furiosa 8k +2k 7k +1k 75/25 Drama/Action 07.06
Walk The Line 124k +1k 62k +443 34/66 Comedy/Crime 08.06
Gold or Shit 22k +1k 55k +3k 60/40 Comedy/Family 08.06
Be My Friend 68k +2k 13k +390 30/70 Drama/Comedy 08.06
Crisis Negotiators 10k +521 10k +276 41/59 Drama 08.06
June:
A few other noteworthy releases in June.
Movie Maoyan WTS Daily Increase Taopiaopiao WTS Daily Increase M/W % Genre Release Date
Haikyu!! The Movie: Decisive Battle at the Garbage Dump 195k +2k 108k +2k 36/64 Animation 15.06
Inside Out 2 47k +2k 29k +511 29/71 Animation 21.06
Hengyang 1944 35k +3k 40k +4k 62/38 History / War 28.06
submitted by Firefox72 to boxoffice [link] [comments]

2024.05.19 18:38 _Triple_ [STORE] 900+ KNIVES/GLOVES/SKINS, 100.000$+ INVENTORY. BFK Lore, Gloves Amphibious, Skeleton Fade, Bowie Emerald, BFK Auto, Gloves MF, Talon Doppler, Gloves POW, Bayo Tiger, Gut Sapphire, Stiletto MF, M9 Ultra, Ursus Doppler, Flip Doppler, M9 Stained, Nomad CW, Paracord CW, AK-47 X-Ray & A Lot More

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★ Stiletto Knife, B/O: $601.39

★ Stiletto Knife Crimson Web (Field-Tested), B/O: $418.25

★ Stiletto Knife Night Stripe (Field-Tested), B/O: $227.80

★ Stiletto Knife Boreal Forest (Field-Tested), B/O: $194.96

★ Stiletto Knife Safari Mesh (Field-Tested), B/O: $192.79

⎯

★ Nomad Knife Crimson Web (Field-Tested), B/O: $518.11

★ Nomad Knife Scorched (Field-Tested), B/O: $169.78

★ Nomad Knife Forest DDPAT (Battle-Scarred), B/O: $166.88

★ StatTrak™ Nomad Knife Blue Steel (Field-Tested), B/O: $335.79

⎯

★ Skeleton Knife Stained (Well-Worn), B/O: $442.05

★ Skeleton Knife Urban Masked (Minimal Wear), B/O: $426.24

★ Skeleton Knife Boreal Forest (Field-Tested), B/O: $314.03

★ StatTrak™ Skeleton Knife Fade (Minimal Wear), B/O: $2361.28

★ StatTrak™ Skeleton Knife Urban Masked (Field-Tested), B/O: $376.53

⎯

★ Ursus Knife Doppler (Factory New), B/O: $557.12

★ Ursus Knife, B/O: $471.42

★ Ursus Knife Blue Steel (Minimal Wear), B/O: $212.37

★ Ursus Knife Case Hardened (Battle-Scarred), B/O: $187.66

★ Ursus Knife Damascus Steel (Field-Tested), B/O: $178.18

★ Ursus Knife Ultraviolet (Battle-Scarred), B/O: $155.13

★ Ursus Knife Boreal Forest (Battle-Scarred), B/O: $124.26

⎯

★ Huntsman Knife Black Laminate (Minimal Wear), B/O: $204.83

★ Huntsman Knife Black Laminate (Field-Tested), B/O: $184.50

★ StatTrak™ Huntsman Knife Lore (Battle-Scarred), B/O: $224.11

⎯

★ Bowie Knife Gamma Doppler (Factory New), B/O: $2142.02

★ Bowie Knife, B/O: $230.44

★ Bowie Knife Damascus Steel (Factory New), B/O: $209.20

★ Bowie Knife Ultraviolet (Minimal Wear), B/O: $180.51

★ Bowie Knife Ultraviolet (Field-Tested), B/O: $131.03

⎯

★ Falchion Knife Night (Field-Tested), B/O: $132.54

★ Falchion Knife Urban Masked (Well-Worn), B/O: $112.81

★ Falchion Knife Scorched (Field-Tested), B/O: $108.81

★ Falchion Knife Forest DDPAT (Field-Tested), B/O: $107.82

★ Falchion Knife Safari Mesh (Field-Tested), B/O: $107.46

★ StatTrak™ Falchion Knife Ultraviolet (Field-Tested), B/O: $143.08

⎯

★ Paracord Knife Crimson Web (Minimal Wear), B/O: $486.48

★ Paracord Knife Blue Steel (Battle-Scarred), B/O: $163.12

⎯

★ Survival Knife Blue Steel (Battle-Scarred), B/O: $138.26

★ Survival Knife Night Stripe (Field-Tested), B/O: $131.03

⎯

★ Gut Knife Sapphire (Minimal Wear), B/O: $1127.79

★ Gut Knife Gamma Doppler (Factory New), B/O: $286.17

★ Gut Knife Doppler (Factory New), B/O: $246.55

★ Gut Knife Marble Fade (Factory New), B/O: $240.77

★ Gut Knife, B/O: $210.49

★ Gut Knife Lore (Field-Tested), B/O: $194.22

★ Gut Knife Case Hardened (Battle-Scarred), B/O: $151.51

★ Gut Knife Blue Steel (Minimal Wear), B/O: $124.94

★ Gut Knife Rust Coat (Well-Worn), B/O: $118.99

★ Gut Knife Boreal Forest (Minimal Wear), B/O: $109.80

★ StatTrak™ Gut Knife Doppler (Factory New), B/O: $237.96

⎯

★ Shadow Daggers Gamma Doppler (Factory New), B/O: $264.92

★ Shadow Daggers Marble Fade (Factory New), B/O: $253.03

★ Shadow Daggers Tiger Tooth (Factory New), B/O: $237.22

★ Shadow Daggers Crimson Web (Field-Tested), B/O: $153.40

★ Shadow Daggers Autotronic (Minimal Wear), B/O: $144.42

★ Shadow Daggers Blue Steel (Field-Tested), B/O: $105.20

★ StatTrak™ Shadow Daggers Damascus Steel (Minimal Wear), B/O: $150.46

⎯

★ Navaja Knife Fade (Factory New), B/O: $365.99

★ Navaja Knife Doppler (Factory New), B/O: $228.93

★ Navaja Knife Marble Fade (Factory New), B/O: $227.43

★ Navaja Knife Slaughter (Factory New), B/O: $209.06

★ Navaja Knife, B/O: $203.16

★ Navaja Knife Case Hardened (Well-Worn), B/O: $132.57

★ Navaja Knife Damascus Steel (Factory New), B/O: $121.69

★ Navaja Knife Damascus Steel (Minimal Wear), B/O: $109.95

★ Navaja Knife Damascus Steel (Field-Tested), B/O: $100.41

★ StatTrak™ Navaja Knife Fade (Factory New), B/O: $369.01

★ StatTrak™ Navaja Knife Damascus Steel (Field-Tested), B/O: $109.95

GLOVES

★ Sport Gloves Amphibious (Minimal Wear), B/O: $2394.67

★ Sport Gloves Omega (Well-Worn), B/O: $572.33

★ Sport Gloves Bronze Morph (Minimal Wear), B/O: $338.88

★ Sport Gloves Big Game (Field-Tested), B/O: $323.66

⎯

★ Specialist Gloves Marble Fade (Minimal Wear), B/O: $1652.07

★ Specialist Gloves Tiger Strike (Field-Tested), B/O: $599.14

★ Specialist Gloves Crimson Web (Well-Worn), B/O: $231.57

★ Specialist Gloves Buckshot (Minimal Wear), B/O: $126.21

⎯

★ Moto Gloves POW! (Minimal Wear), B/O: $996.99

★ Moto Gloves POW! (Field-Tested), B/O: $383.31

★ Moto Gloves POW! (Well-Worn), B/O: $276.00

★ Moto Gloves Turtle (Field-Tested), B/O: $180.28

⎯

★ Hand Wraps CAUTION! (Minimal Wear), B/O: $502.29

★ Hand Wraps Giraffe (Minimal Wear), B/O: $180.73

★ Hand Wraps CAUTION! (Battle-Scarred), B/O: $178.32

⎯

★ Driver Gloves Queen Jaguar (Minimal Wear), B/O: $181.01

★ Driver Gloves Rezan the Red (Field-Tested), B/O: $101.66

⎯

★ Broken Fang Gloves Jade (Field-Tested), B/O: $127.88

★ Broken Fang Gloves Needle Point (Minimal Wear), B/O: $124.55

⎯

★ Bloodhound Gloves Guerrilla (Minimal Wear), B/O: $127.94

★ Hydra Gloves Case Hardened (Field-Tested), B/O: $102.55

WEAPONS

AK-47 X-Ray (Well-Worn), B/O: $478.95

AUG Hot Rod (Factory New), B/O: $425.83

StatTrak™ M4A1-S Hyper Beast (Factory New), B/O: $413.95

M4A4 Daybreak (Factory New), B/O: $309.51

StatTrak™ AK-47 Aquamarine Revenge (Factory New), B/O: $305.43

AK-47 Case Hardened (Well-Worn), B/O: $196.38

StatTrak™ M4A4 Temukau (Minimal Wear), B/O: $174.64

P90 Run and Hide (Field-Tested), B/O: $167.03

AWP Asiimov (Field-Tested), B/O: $153.33

Souvenir SSG 08 Death Strike (Minimal Wear), B/O: $140.00

M4A1-S Printstream (Battle-Scarred), B/O: $124.70

StatTrak™ M4A1-S Golden Coil (Field-Tested), B/O: $117.48

AWP Asiimov (Well-Worn), B/O: $115.97

StatTrak™ Desert Eagle Printstream (Minimal Wear), B/O: $112.96

StatTrak™ AK-47 Asiimov (Minimal Wear), B/O: $110.85

Souvenir M4A1-S Master Piece (Well-Worn), B/O: $102.42

AK-47 Bloodsport (Minimal Wear), B/O: $100.53

Trade Offer Link - Steam Profile Link - My Inventory

Knives - Bowie Knife, Butterfly Knife, Falchion Knife, Flip Knife, Gut Knife, Huntsman Knife, M9 Bayonet, Bayonet, Karambit, Shadow Daggers, Stiletto Knife, Ursus Knife, Navaja Knife, Talon Knife, Classic Knife, Paracord Knife, Survival Knife, Nomad Knife, Skeleton Knife, Patterns - Gamma Doppler, Doppler (Phase 1, Phase 2, Phase 3, Phase 4, Black Pearl, Sapphire, Ruby, Emerald), Crimson Web, Lore, Fade, Ultraviolet, Night, Marble Fade (Fire & Ice, Fake FI), Case Hardened (Blue Gem), Autotronic, Slaughter, Black Laminate, Tiger Tooth, Boreal Forest, Scorched, Blue Steel, Vanilla, Damascus Steel, Forest DDPAT, Urban Masked, Freehand, Stained, Bright Water, Safari Mesh, Rust Coat, Gloves - Bloodhound Gloves (Charred, Snakebite, Guerrilla, Bronzed), Driver Gloves (Snow Leopard, King Snake, Crimson Weave, Imperial Plaid, Black Tie, Lunar Weave, Diamondback, Rezan the Red, Overtake, Queen Jaguar, Convoy, Racing Green), Hand Wraps (Cobalt Skulls, CAUTION!, Overprint, Slaughter, Leather, Giraffe, Badlands, Spruce DDPAT, Arboreal, Constrictor, Desert Shamagh, Duct Tape), Moto Gloves (Spearmint, POW!, Cool Mint, Smoke Out, Finish Line, Polygon, Blood Pressure, Turtle, Boom!, Eclipse, 3rd Commando Company, Transport), Specialist Gloves (Crimson Kimono, Tiger Strike, Emerald Web, Field Agent, Marble Fade, Fade, Foundation, Lt. Commander, Crimson Web, Mogul, Forest DDPAT, Buckshot), Sport Gloves (Pandora's Box, Superconductor, Hedge Maze, Vice, Amphibious, Slingshot, Omega, Arid, Big Game, Nocts, Scarlet Shamagh, Bronze Morph), Hydra Gloves (Case Hardened, Emerald, Rattler, Mangrove), Broken Fang Gloves (Jade, Yellow-banded, Unhinged, Needle Point), Pistols - P2000 (Wicked Sick, Ocean Foam, Fire Element, Amber Fade, Corticera, Chainmail, Imperial Dragon, Obsidian, Scorpion, Handgun, Acid Etched), USP-S (Printstream, Kill Confirmed, Whiteout, Road Rash, Owergrowth, The Traitor, Neo-Noir, Dark Water, Orion, Blueprint, Stainless, Caiman, Serum, Monster Mashup, Royal Blue, Ancient Visions, Cortex, Orange Anolis, Ticket To Hell, Black Lotus, Cyrex, Check Engine, Guardian, Purple DDPAT, Torque, Blood Tiger, Flashback, Business Class, Pathfinder, Para Green), Lead Conduit, Glock-18 (Ramese's Reach, Umbral Rabbit, Fade, Candy Apple, Bullet Queen, Synth Leaf, Neo-Noir, Nuclear Garden, Dragon Tatto, Reactor, Pink DDPAT, Twilight Galaxy, Sand Dune, Groundwater, Blue Fissure, Snack Attack, Water Elemental, Brass, Wasteland Rebel, Vogue, Franklin, Royal Legion, Gamma Doppler, Weasel, Steel Disruption, Ironwork, Grinder, High Beam, Moonrise, Oxide Blaze, Bunsen Burner, Clear Polymer, Bunsen Burner, Night), P250 (Apep's Curse, Re.built, Nuclear Threat, Modern Hunter, Splash, Whiteout, Vino Primo, Mehndi, Asiimov, Visions, Undertow, Cartel, See Ya Later, Gunsmoke, Splash, Digital Architect, Muertos, Red Rock, Bengal Tiger, Crimson Kimono, Wingshot, Metallic DDPAT, Hive, Dark Filigree, Mint Kimono), Five-Seven (Neon Kimono, Berries And Cherries, Fall Hazard, Crimson Blossom, Hyper Beast, Nitro, Fairy Tale, Case Hardened, Copper Galaxy, Angry Mob, Monkey Business, Fowl Play, Anodized Gunmetal, Hot Shot, Retrobution, Boost Protocol), CZ75-Auto (Chalice, Crimson Web, Emerald Quartz, The Fuschia is Now, Nitro, Xiangliu, Yellow Jacket, Victoria, Poison Dart, Syndicate, Eco, Hexane, Pole, Tigris), Tec-9 (Mummy's Rot, Rebel, Terrace, Nuclear Threat, Hades, Rust Leaf, Decimator, Blast From, Orange Murano, Toxic, Fuel Injector, Remote Control, Bamboo Forest, Isaac, Avalanche, Brother, Re-Entry, Blue Titanium, Bamboozle), R8 Revolver (Banana Cannon, Fade, Blaze, Crimson Web, Liama Cannon, Crazy 8, Reboot, Canal Spray, Night, Amber Fade), Desert Eagle (Blaze, Hand Cannon, Fennec Fox, Sunset Storm, Emerald Jörmungandr, Pilot, Hypnotic, Golden Koi, Printstream, Cobalt Disruption, Code Red, Ocean Drive, Midnight Storm, Kumicho Dragon, Crimson Web, Heirloom, Night Heist, Mecha Industries, Night, Conspiracy, Trigger Discipline, Naga, Directive, Light Rail), Dual Berettas (Flora Carnivora, Duelist, Cobra Strike, Black Limba, Emerald, Hemoglobin, Twin Turbo, Marina, Melondrama, Pyre, Retribution, Briar, Dezastre, Royal Consorts, Urban Shock, Dualing Dragons, Panther, Balance), Rifles - Galil (Aqua Terrace, Winter Forest, Chatterbox, Sugar Rush, Pheonix Blacklight, CAUTION!, Orange DDPAT, Cerberus, Dusk Ruins, Eco, Chromatic Aberration, Stone Cold, Tuxedo, Sandstorm, Shattered, Urban Rubble, Rocket Pop, Kami, Crimson Tsunami, Connexion), SCAR-20 (Fragments, Brass, Cyrex, Palm, Splash Jam, Cardiac, Emerald, Crimson Web, Magna Carta, Stone Mosaico, Bloodsport, Enforcer), AWP (Black Nile, Duality, Gungnir, Dragon Lore, Prince, Medusa, Desert Hydra, Fade, Lightning Strike, Oni Taiji, Silk Tiger, Graphite, Chromatic Aberration, Asiimov, Snake Camo, Boom, Containment Breach, Wildfire, Redline, Electric Hive, Hyper Beast, Neo-Noir, Man-o'-war, Pink DDPAT, Corticera, Sun in Leo, Elite Build, Fever Dream, Atheris, Mortis, PAW, Exoskeleton, Worm God, POP AWP, Phobos, Acheron, Pit Viper, Capillary, Safari Mesh), AK-47 (Steel Delta, Head Shot, Wild Lotus, Gold Arabesque, X-Ray, Fire Serpent, Hydroponic, Panthera Onca, Case Hardened, Vulcan, Jet Set, Fuel Injector, Bloodsport, Nightwish, First Class, Neon Rider, Asiimov, Red Laminate, Aquamarine Revenge, The Empress, Wasteland Rebel, Jaguar, Black Laminate, Leet Museo, Neon Revolution, Redline, Frontside Misty, Predator, Legion of Anubis, Point Disarray, Orbit Mk01, Blue Laminate, Green Laminate, Emerald Pinstripe, Cartel, Phantom Disruptor, Jungle Spray, Safety Net, Rat Rod, Baroque Purple, Slate, Elite Build, Uncharted, Safari Mesh), FAMAS (Waters of Nephthys, Sundown, Prime Conspiracy, Afterimage, Commemoration, Dark Water, Spitfire, Pulse, Eye of Athena, Meltdown, Rapid Eye Move, Roll Cage, Styx, Mecha Industrie, Djinn, ZX Spectron, Valence, Neural Net, Night Borre, Hexne), M4A4 (Eye of Horus, Temukau, Howl, Poseidon, Asiimov, Daybreak, Hellfire, Zirka, Red DDPAT, Radiation Hazard, Modern Hunter, The Emperor, The Coalition, Bullet Rain, Cyber Security, X-Ray, Dark Blossom, Buzz Kill, In Living Color, Neo-Noir, Desolate Space, 龍王 (Dragon King), Royal Paladin, The Battlestar, Global Offensive, Tooth Fairy, Desert-Strike, Griffin, Evil Daimyo, Spider Lily, Converter), M4A1-S (Emphorosaur-S, Welcome to the Jungle, Imminent Danger, Knight, Hot Rod, Icarus Fell, Blue Phosphor, Printstream, Master Piece, Dark Water, Golden Coil, Bright Water, Player Two, Atomic Alloy, Guardian, Chantico's Fire, Hyper Beast, Mecha Industries, Cyrex, Control Panel, Moss Quartz, Nightmare, Decimator, Leaded Glass, Basilisk, Blood Tiger, Briefing, Night Terror, Nitro, VariCamo, Flashback), SG 553 (Cyberforce, Hazard Pay, Bulldozer, Integrale, Dragon Tech, Ultraviolet, Colony IV, Hypnotic, Cyrex, Candy Apple, Barricade, Pulse), SSG 08 (Death Strike, Sea Calico, Blood in the Water, Orange Filigree, Dragonfire, Big Iron, Bloodshot, Detour, Turbo Peek, Red Stone), AUG (Akihabara Accept, Flame Jörmungandr, Hot Rod, Midnight Lily, Sand Storm, Carved Jade, Wings, Anodized Navy, Death by Puppy, Torque, Bengal Tiger, Chameleon, Fleet Flock, Random Access, Momentum, Syd Mead, Stymphalian, Arctic Wolf, Aristocrat, Navy Murano), G3SG1 (Chronos, Violet Murano, Flux, Demeter, Orange Kimono, The Executioner, Green Apple, Arctic Polar Camo, Contractor), SMGs - P90 (ScaraB Rush, Neoqueen, Astral Jörmungandr, Run and Hide, Emerald Dragon, Cold Blooded, Death by Kitty, Baroque Red, Vent Rush, Blind Spot, Asiimov, Trigon, Sunset Lily, Death Grip, Leather, Nostalgia, Fallout Warning, Tiger Pit, Schermatic, Virus, Shapewood, Glacier Mesh, Shallow Grave, Chopper, Desert Warfare), MAC-10 (Sakkaku, Hot Snakes, Copper Borre, Red Filigree, Gold Brick, Graven, Case Hardened, Stalker, Amber Fade, Neon Rider, Tatter, Curse, Propaganda, Nuclear Garden, Disco Tech, Toybox, Heat, Indigo), UMP-45 (Wild Child, Fade, Blaze, Day Lily, Minotaur's Labyrinth, Crime Scene, Caramel, Bone Pile, Momentum, Primal Saber), MP7 (Teal Blossom, Fade, Nemesis, Whiteout, Asterion, Bloosport, Abyssal Apparition, Full Stop, Special Delivery, Neon Ply, Asterion, Ocean Foam, Powercore, Scorched, Impire), PP-Bizon (Modern Hunter, Rust Coat, Forest Leaves, Antique, High Roller, Blue Streak, Seabird, Judgement of Anubis, Bamboo Print, Embargo, Chemical Green, Coblat Halftone, Fuel Rod, Photic Zone, Irradiated Alert, Carbon Fiber), MP9 (Featherweight, Wild Lily, Pandora's Box, Stained Glass, Bulldozer, Dark Age, Hot Rod, Hypnotic, Hydra, Rose Iron, Music Box, Setting Sun, Food Chain, Airlock, Mount Fuji, Starlight Protector, Ruby Poison Dart, Deadly Poison), MP5-SD (Liquidation, Oxide Oasis, Phosphor, Nitro, Agent, Autumn Twilly), Shotguns, Machineguns - Sawed-Off (Kiss♥Love, First Class, Orange DDPAT, Rust Coat, The Kraken, Devourer, Mosaico, Wasteland Princess, Bamboo Shadow, Copper, Serenity, Limelight, Apocalypto), XM1014 (Frost Borre, Ancient Lore, Red Leather, Elegant Vines, Banana Leaf, Jungle, Urban Perforated, Grassland, Blaze Orange, Heaven Guard, VariCamo Blue, Entombed, XOXO, Seasons, Tranquility, Bone Machine, Incinegator, Teclu Burner, Black Tie, Zombie Offensive, Watchdog), Nova (Sobek's Bite, Baroque Orange, Hyper Beast, Green Apple, Antique, Modern Hunter, Walnut, Forest Leaves, Graphite, Blaze Orange, Rising Skull, Tempest, Bloomstick, Interlock, Quick Sand, Moon in Libra, Clean Polymer, Red Quartz, Toy Soldier), MAG-7 (Copper Coated, Insomnia, Cinqueda, Counter Terrace, Prism Terrace, Memento, Chainmail, Hazard, Justice, Bulldozer, Silver, Core Breach, Firestarter, Praetorian, Heat, Hard Water, Monster Call, BI83 Spectrum, SWAG-7), M249 (Humidor, Shipping Forecast, Blizzard Marbleized, Downtown, Jungle DDPAT, Nebula Crusader, Impact Drill, Emerald Poison Dart), Negev (Mjölnir, Anodized Navy, Palm, Power Loader, Bratatat, CaliCamo, Phoenix Stencil, Infrastructure, Boroque Sand), Wear - Factory New (FN), Minimal Wear (MW), Field-Tested (FT), Well-Worn (WW), Battle-Scarred (BS), Stickers Holo/Foil/Gold - Katowice 2014, Krakow 2017, Howling Dawn, Katowice 2015, Crown, London 2018, Cologne 2014, Boston 2018, Atlanta 2017, Cluj-Napoca 2015, DreamHack 2014, King on the Field, Harp of War, Winged Difuser, Cologne 2016, Cologne 2015, MLG Columbus 2016, Katowice 2019, Berlin 2019, RMR 2020, Stockholm 2021, Antwerp 2022, Paris 2023, Swag Foil, Flammable foil, Others - Souvenirs, Agents, Pins, Passes, Gifts, Music Kits, Cases, Keys, Capsules, Packages, Patches

Some items on the list may no longer be available or are still locked, visit My Inventory for more details.

Send a Trade Offer for fastest response. I consider all offers.

Add me for discuss if there is a serious offer that needs to be discussed.

submitted by _Triple_ to GlobalOffensiveTrade [link] [comments]

2024.05.19 18:38 tearstainedpillow_xx Branch Softside Chair

Branch Softside Chair
Hi there, I’m just about to pull the trigger on this chair but I’m looking for some reviews or just to hear from someone who has this chair? I’m between this and a Leap V2 from Crandall but this fits my overall aesthetic.
Anyone have this chair? I’d love to hear your thoughts on it. ✨
submitted by tearstainedpillow_xx to OfficeChairs [link] [comments]

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submitted by Snoo-15677 to referralspay [link] [comments]

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submitted by Snoo-15677 to Ways2EarnMoneyOnline [link] [comments]

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submitted by Snoo-15677 to referralswaps [link] [comments]

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submitted by Snoo-15677 to ReferralNotReferal [link] [comments]

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submitted by Snoo-15677 to referralcodes [link] [comments]

2024.05.19 18:31 Snoo-15677 Get up to $500 with MoneyLion using Instacash after opening a RoarMoney account + $55 bonus using my Referral code: $EarnestTerrell547 or by clicking the picture link! (NO Credit Check Required)

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submitted by Snoo-15677 to Referral [link] [comments]

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submitted by Snoo-15677 to ReferPeople [link] [comments]

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submitted by Snoo-15677 to promocodes [link] [comments]

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