[US] Issey, Lemaire, Raf, Rick, Craig Green, Undercover, Yohji, Hyein Seo

[US] Issey, Lemaire, Raf, Rick, Craig Green, Undercover, Yohji, Hyein Seo

Measurements available on request. Prices listed are for PayPal Friends & Family; add 4% for Goods & Services.

Vouches: https://www.reddit.com/r/RepVouch/comments/wge6n6/uencrypted_curse/

Pictures: https://imgur.com/a/IYdbsIa

Jackets

Lemaire wrap coat

  • Size: XS - very oversized, fits closer to M
  • Seller: Turn Turn / On My Own
  • Condition: 10/10, only tried on
  • Price: $160 + shipping
  • Notes: Super hefty, thick, and cozy. Holds its shape well. Best batch.

Issey Miyake FW96 parachute cargo bomber jacket

  • Size: M - fits TTS
  • Seller: MKSZY / Marxism
  • Condition: 10/10, only tried on
  • Price: $200 + shipping
  • Notes: Excellent quality, hefty, and buttery zippers. Very flattering cocoon silhouette that's unique to Issey. Bought this to replace a size L but never got around to wearing it again.

Craig Green FW15 parachute parka jacket

  • Size: L - fits oversized M or TTS
  • Condition: 10/10, only tried on
  • Price: $75 + shipping
  • Notes: Crazy jacket, too many details to mention. Hood is removable. Fabric isn't entirely waterproof but very water resistant. Very accommodating sizing as it can cinch at the chest and hem as well as shorten sleeve and back length.

Tops

Raf Simons FW01 Riot patchwork crewneck sweatshirt

  • Seller: SHTYJ
  • Condition: 10/10, only worn once
  • Price: $100 + shipping
  • Notes: Only batch ever made. SHTYJ did a great job on these patches. This is the undistressed version so you can distress it to your own liking.

Yohji Yamamoto 100% wool cardigan

  • Size: S - fits XS or S since original Xianyu seller slightly shrunk it
  • Seller: Turn Turn / On My Own
  • Condition: 7.5/10
  • Price: $40 + shipping
  • Notes: From ~FW97-99. Unfortunately too small on me.

Rick Owens double layer long sleeve shirt

  • Size: M - fits closer to S
  • Seller: SUBHUMAN
  • Condition: 10/10, only tried on
  • Price: $20 + shipping
  • Notes: Soft material. Flattering fit. SUBHUMAN wash tag.

Bottoms

Hyein Seo SS21 tribal wrap skirt pants

  • Size: M - fits TTS but the waistband is very stretchy so it could easily accommodate S or L
  • Condition: 10/10, only tried on
  • Price: $35 + shipping
  • Notes: Comfy. Wrap is detachable so either piece can be worn on its own. Camera isn't picking up the nice olive green color correctly; it looks better in person.

Accessories

Undercover FW09 Joy Division Unknown Pleasures backpack

  • Seller: BNUMBERS
  • Condition: 10/10, never used
  • Price: $70 + shipping
  • Notes: Nice vintage fade effect. Solid hardware.

Undercover SS06 cross body bag

  • Seller: Sleepboy
  • Condition: 10/10, never used
  • Price: $35 + shipping
  • Notes: Good pairing for 537cute's Converse. Metal detailing along the bottom that will age nicely with wear.

Raf Simons FW01 Riot tote bag

  • Seller: MKSZY / Marxism
  • Condition: 10/10, never used
  • Price: $30 + shipping
  • Notes: Nice vintage fade effect. Great quality as always from MKSZY.

^("paypal invoice only")

u/Encrypted_Curse — 8 days ago
▲ 1 r/mcp

TickTick MCP server usage

I'm running AI locally with llama.cpp + Open WebUI. I just added the official TickTick MCP server to it.

The issue I'm seeing is that enabling the TickTick tool on my chat explodes the prompt size and kills processing speed. Every single message gets 15-20K tokens added to it as a result.

Is the TickTick MCP server working properly? Is this just how they work? Or does something seem off here? I'm new to all this AI stuff but 15-20K tokens seems insane to me.

reddit.com
u/Encrypted_Curse — 4 months ago
▲ 7 r/ticktick+1 crossposts

MCP server usage

I'm running AI locally with llama.cpp + Open WebUI. I just added the official TickTick MCP server to it.

The issue I'm seeing is that enabling the TickTick tool on my chat explodes the prompt size and kills processing speed. Every single message gets 15-20K tokens added to it as a result.

Is the TickTick MCP server working properly? Is this just how they work? Or does something seem off here? I'm new to all this AI stuff but 15-20K tokens seems insane to me.

reddit.com
u/Encrypted_Curse — 4 months ago

This has been driving me nuts.

I'm trying to create gauges for system fan RPMs that each have their own respective minimum and maximum.

I'm gathering RPM data through Prometheus' node_exporter. The current RPM reading is built-in, but I also added entries for minimum/maximum RPMs through its textfile collector.

For context, this is all the data I'm working with:

# HELP node_textfile_hwmon_fan_max_rpm Hardware monitor for fan revolutions per minute (max)
# TYPE node_textfile_hwmon_fan_max_rpm gauge
node_textfile_hwmon_fan_max_rpm{chip="platform_nct6775_656",sensor="fan1"} 1875
node_textfile_hwmon_fan_max_rpm{chip="platform_nct6775_656",sensor="fan2"} 1500
node_textfile_hwmon_fan_max_rpm{chip="platform_nct6775_656",sensor="fan3"} 2900
node_textfile_hwmon_fan_max_rpm{chip="platform_nct6775_656",sensor="fan4"} 0
node_textfile_hwmon_fan_max_rpm{chip="platform_nct6775_656",sensor="fan5"} 0
node_textfile_hwmon_fan_max_rpm{chip="platform_nct6775_656",sensor="fan6"} 0
node_textfile_hwmon_fan_max_rpm{chip="platform_nct6775_656",sensor="fan7"} 0

# HELP node_textfile_hwmon_fan_min_rpm Hardware monitor for fan revolutions per minute (min)
# TYPE node_textfile_hwmon_fan_min_rpm gauge
node_textfile_hwmon_fan_min_rpm{chip="platform_nct6775_656",sensor="fan1"} 350
node_textfile_hwmon_fan_min_rpm{chip="platform_nct6775_656",sensor="fan2"} 350
node_textfile_hwmon_fan_min_rpm{chip="platform_nct6775_656",sensor="fan3"} 0
node_textfile_hwmon_fan_min_rpm{chip="platform_nct6775_656",sensor="fan4"} 0
node_textfile_hwmon_fan_min_rpm{chip="platform_nct6775_656",sensor="fan5"} 0
node_textfile_hwmon_fan_min_rpm{chip="platform_nct6775_656",sensor="fan6"} 0
node_textfile_hwmon_fan_min_rpm{chip="platform_nct6775_656",sensor="fan7"} 0

# HELP node_hwmon_fan_rpm Hardware monitor for fan revolutions per minute (input)
# TYPE node_hwmon_fan_rpm gauge
node_hwmon_fan_rpm{chip="platform_nct6775_656",sensor="fan1"} 374
node_hwmon_fan_rpm{chip="platform_nct6775_656",sensor="fan2"} 365
node_hwmon_fan_rpm{chip="platform_nct6775_656",sensor="fan3"} 0
node_hwmon_fan_rpm{chip="platform_nct6775_656",sensor="fan4"} 0
node_hwmon_fan_rpm{chip="platform_nct6775_656",sensor="fan5"} 0
node_hwmon_fan_rpm{chip="platform_nct6775_656",sensor="fan6"} 0
node_hwmon_fan_rpm{chip="platform_nct6775_656",sensor="fan7"} 0
  • Query A: node_hwmon_fan_rpm
  • Query B: node_textfile_hwmon_fan_min_rpm
  • Query C: node_textfile_hwmon_fan_max_rpm

They are all set to table format and instant type.

I've tried so many different combinations of the merge series/tables, config from query results, group by, and organize fields by name transformations. I've tried debugging with AI (useless). I don't understand why Grafana is so difficult. Could someone point me in the right direction here? Much thanks.

reddit.com
u/Encrypted_Curse — 5 months ago