SJU 23’ CompSci Major and Math Minor

Joined February 2015
79 Photos and videos
Pinned Tweet
I feel bad for those people who didn't grow up near a kwik trip
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Maynard’s deserves my loyalty.
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I remember begging my mom for this game and she finally got it for me. One of the best games of all time. Was able to play collegiate OW and some of the best times ever. I think it’s time I pick up where I left off
May 24
Overwatch (2016) first released on this day 10 years ago
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Joe Sebenaler retweeted
May 24
Overwatch (2016) first released on this day 10 years ago
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Joe Sebenaler retweeted
Thank you. What the hell is going on? Is the sun getting stronger?
May 15
Replying to @BarstoolBigCat
@BarstoolBigCat It 100% feels like it gets lighter earlier than it used to during this time
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Being a Minnesota fan sucks man…
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Wild in 7

ALT Crying Sad GIF

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Joe Sebenaler retweeted
stars off ice tonight, stars on ice tomorrow ⛸️ welcome to The State of Hockey, @TeamUSA figure skaters.
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Is this the most boring broadcast and game of all time?
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Idk what I just watched…
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Top 10 night of my life. Jaden, Quinn, Byron. What a night.

ALT Bruce Harwood Happy Cry GIF

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Minnesota sports right now 🔥🔥
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Sabrina & Madonna on repeat
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Sebs key to MN victories today. Wild: Score early No penalties (talking to you Faligno bros) Kirill legacy game (3 points) Wolves: Ant to the hoop Gobert fadeaway 3 LeBron James drinks some wine #wolveswin #wildwin
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These are legit. Small to medium sized businesses don’t know how easy it is to implement AI into their daily tasks.
there are thousands of hidden dollars in how you buy right now. most teams never see them. they're sitting in the gap between what your vendor's price break offers and what your team actually buys. buy too little, miss the discount. buy too much, tie up cash in inventory that sits for months. using claude python scripting, here's what you can do: take your historical sales data and your vendor's price break, paste the headers and a few sample rows into claude, then ask: "for each SKU in sales_history.csv and vendor_pricing.csv, calculate the optimal purchase quantity that maximizes net benefit while keeping days-of-coverage under 90. factor in a 20% annualized carrying cost. output as price_break_analysis.csv — SKU, recommended qty, new unit cost, gross savings, carrying cost, net benefit, days of coverage." claude writes the script. you run it. you get a ranked list of the SKUs where a quantity change actually pays — and the ones where it doesn't. this doesn't replace purchasing judgment. cash, vendor relationships, storage all still matter. but it surfaces the specific buys worth negotiating or committing to. run it monthly. the tiers that matter change with your demand.
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Joe Sebenaler retweeted
there are thousands of hidden dollars in how you buy right now. most teams never see them. they're sitting in the gap between what your vendor's price break offers and what your team actually buys. buy too little, miss the discount. buy too much, tie up cash in inventory that sits for months. using claude python scripting, here's what you can do: take your historical sales data and your vendor's price break, paste the headers and a few sample rows into claude, then ask: "for each SKU in sales_history.csv and vendor_pricing.csv, calculate the optimal purchase quantity that maximizes net benefit while keeping days-of-coverage under 90. factor in a 20% annualized carrying cost. output as price_break_analysis.csv — SKU, recommended qty, new unit cost, gross savings, carrying cost, net benefit, days of coverage." claude writes the script. you run it. you get a ranked list of the SKUs where a quantity change actually pays — and the ones where it doesn't. this doesn't replace purchasing judgment. cash, vendor relationships, storage all still matter. but it surfaces the specific buys worth negotiating or committing to. run it monthly. the tiers that matter change with your demand.
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Joe Sebenaler retweeted
you already know the feeling: sat through the enterprise SaaS demo, watched 50 features get walked through, and counted maybe 5 you'd actually use. six-figure annual contracts. months of implementation. integration headaches. all to run the handful of workflows that actually matter to the business. claude python scripting flips that equation. you build exactly the 5 functions you need — without the 45 you don't — for almost nothing. with a few weeks of practice, plus claude doing the heavy lifting, you're producing the specific tools your business actually runs on. SaaS still has its place when you genuinely need the whole platform. most of the time you don't. and the "we need a platform for that" reflex is often the expensive path to a cheap solution. feel free to start a conversation if you want to see whether your current tools or workflows are good candidates.
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Ragnar under there
So the Coyote just rode a motorcycle onto the court during a timeout and the court smells like gasoline now
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Joe Sebenaler retweeted
So the Coyote just rode a motorcycle onto the court during a timeout and the court smells like gasoline now
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So glad we could listen to @AnthonyLaPanta and @Ryan_Carter22. Makes wild hockey that much better.
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Joe Sebenaler retweeted
I hate Pollen.
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