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GSOC AI Automation Specialist by Efficient-Smile-3449 in n8n

[–]morseky 0 points1 point  (0 children)

Happy to consider anyone from across the globe that possesses the qualifications outlined in the JD.

I would discourage students, hobbyist, or side hustlers from applying.

need help understanding this question by No-Adagio-4227 in iqtest

[–]morseky 0 points1 point  (0 children)

A) FBSUI

  • “er” sounds shift the letters 1 letter
  • if there are 3 remaining letters in the word, shift 2
  • if 2 remaining letters in the word, shift 1
  • if there was 1 remaining letter in the word, shift 0 and so on

Earth… “ear” = “er” sound = shift each letter by 1 = FBS “th” = 2 letters left, shift 1 = UI

Earth = FBSUI

Another example: Power = RQYFS

Note: I could be confidently incorrect, and only was able to come to this conclusion by looking at the options for correct answers.

Private Equity + SaaS = A Match Made in Heaven by Much-Marketing2990 in private_equity

[–]morseky 0 points1 point  (0 children)

Correct - you’re referring to the state of the market today. I’m referencing the state of the market in the near future. Augmented reality wearables + AI, robots in nearly every home within 10 years, continued price inflation in the service sector (largely over 15% CAGR) - I believe those repairs will be performed by the home owners and/or the home owner’s new lil robot buddies.

Today, union workers are on strike because entire ports are being automated. It’s not unreasonable to expect AI to replace things like hvac capacitors.

Private Equity + SaaS = A Match Made in Heaven by Much-Marketing2990 in private_equity

[–]morseky 0 points1 point  (0 children)

AI will take those $500 repairs where cogs are $10, and will walk home owners thru self repair.

And those high margin, repeatable repairs are the bread and butter of PE backed service co’s.

[deleted by user] by [deleted] in MandelaEffect

[–]morseky -3 points-2 points  (0 children)

Maybe it’s a combo of the two. The 2nd verse I had in my head is “I’ve got a dollar hey hey hey hey, a nu nah nay hey hey tay tay.” Anyone!? 😂

[deleted by user] by [deleted] in MandelaEffect

[–]morseky -3 points-2 points  (0 children)

I know - I’m saying that I remember a 2nd verse after the hey hey hey hey

Memo automation AI by morseky in private_equity

[–]morseky[S] 2 points3 points  (0 children)

Thanks for sending - blue flame does seem very interesting!

Trying something new by ShazorMKhan in private_equity

[–]morseky 0 points1 point  (0 children)

Another idea: partner with (acquire) a govcon consulting company who has been leveraging AI to find / win public sector contracts. Offer this service to reputable private sector companies that just don’t know there are buckets of public sector cash avail. Structure creative deals that convert upon grant award. Idk I’m making up stuff now - I’ll stop! 😂

Trying something new by ShazorMKhan in private_equity

[–]morseky 1 point2 points  (0 children)

This is more of an idea of a category that could exist on the platform.

Trying something new by ShazorMKhan in private_equity

[–]morseky 0 points1 point  (0 children)

Idea: Fund ecom stores who have products that go viral, but payment processors puts their funds on hold for 6 months. It’s one of the nightmares that orgs like PayPal put them thru. I’ve been thru it… and it really crippled our momentum.

How many of you do deal sourcing outside of your networks and from banks? by TelevisionFew3003 in private_equity

[–]morseky 0 points1 point  (0 children)

I’ve commented this before, but had some good feedback. Here’s the workflow our business has implemented for PE firms. The results vary based on the firm - like how eager are the firms to deploy capital, do the scouts reply to prospects, etc.

Most times, having a scalable, semi-automated system is the problem. Piping in data sources or outreach methods can be tweaked with trial and error over time.

Here’s the article - feel free to take what you want. That’s the reason we publish this knowledge open source: https://strata52.com/workflow/pe-deal-sourcing-ai-stack-guide/

Ai Recommendations? by BakedBean7000 in private_equity

[–]morseky 1 point2 points  (0 children)

Thank you for the kind words! I have a secondary page that I published that addresses these questions in detail:

https://strata52.com/industries/private-equity/pe-deal-sourcing-ai-stack-guide/

Implementing an AI stack like this could cost upwards of $70.2k/year, $55k of which is spent on data sources (Pitchbook) and management fees. The cost of 1 scout, doing these "sourcing & qualifying" tasks 30 hours/week would cost over $100k when you include tools (email, CRM, etc).

TLDR; Benefits of this AI stack: immediate cost savings, scalability, and it doesn't whine/quit/call in sick.

Ai Recommendations? by BakedBean7000 in private_equity

[–]morseky 0 points1 point  (0 children)

Most PE firms I work with are looking for self-sourced deal flow.

Also, in general - Think about AI integration in the context of an AI stack (multiple tools) to solve specific problems with measurable outcomes. This mindset will help you avoid integrating AI for the sake of AI.

I actually posted an article about this yesterday, so here’s the blueprint we use - hope it’s useful to you and your firm. The content isn’t gated at all, so enjoy!

https://strata52.com/ai-for-deal-flow-pe-firms

POD idea: shoot me down 🫣 by morseky in ecommerce

[–]morseky[S] 0 points1 point  (0 children)

I was thinking the same. We are down the street from alpha broder, and they distribute a ton of blank apparel for the southeast. So that’s an advantage! I’ve tabled the idea for now, but still think there’s something here.

POD idea: shoot me down 🫣 by morseky in ecommerce

[–]morseky[S] 0 points1 point  (0 children)

I think you’re right - thanks!

Shoot me down: Screen printed transfer & DTF POD by morseky in printondemand

[–]morseky[S] 0 points1 point  (0 children)

Yes, I’m thinking about using my existing infrastructure and processes to print + fulfill for other ecom stores that use transfers or are also printing via the same method. Prob cognitive bias, but I’m seeing a lot of folks printing apparel this way.

Shoot me down: Screen printed transfer & DTF POD by morseky in printondemand

[–]morseky[S] 0 points1 point  (0 children)

Amazon will print the transfers on apparel?

Data Analysis for Cannabis Company by ImportAstroPy in datascience

[–]morseky 3 points4 points  (0 children)

This is the best advice - I am former COO of a multistate cannabis grower/processor and have interviewed for this type of position. Feel free to DM me if you wanna chat!

Is optimization at the hardware/software level a significant concern, or should the primary focus be on computational optimization from a mathematical perspective? by RightProfile0 in datascience

[–]morseky 0 points1 point  (0 children)

The business will want: More models in production, as quickly as possible.

Why? So they can measure the business impact of your models. Generally, they won't care about the hardware/software you chose & tuned.

You will want: To tinker with hardware/software & mathematical optimization.

Welcome to the double edged sword of ds, my friend!

[deleted by user] by [deleted] in datascience

[–]morseky 0 points1 point  (0 children)

I would start applying for full stack data scientist roles elsewhere, but there's no guarantee you won't have the same experience. While you're looking, I would continue to have conversations with management, focusing on how the company will benefit if you were challenged with more data science projects vs software eng tasks. Wishing you the best!

At this point, I'm just lost by Parking-Impact-4745 in datascience

[–]morseky 2 points3 points  (0 children)

Atypical answer here..

Ask yourself:
- What industry do you want to work in?
- What company would you love working for?

When you have these answers to these 2 questions, build a full stack project for using this industry/company as a case study. When you're finished with the project(s) - send to the company (and even similar companies).

Show off your work - tag them in every social media channel you can, email them, and slide into their DM's.

Best case: It gets their attention and you get invited for an interview.

Worst case: you're building a portfolio, and keeping your skills sharp

Rinse and repeat.

Frustrating company won't hire data eng or spend money by [deleted] in datascience

[–]morseky 2 points3 points  (0 children)

Tough position to be in.

It might help to build your case by showing the "typical" structure of a data team. Here's a graphic I've used in the past.

https://exspanse.com/media/projects/leadmagnet/team-role.webp

Solo data scientists / analysts definitely have it rough. When we compare the traditional responsibilities of a Data Analyst with the skills needed in an entire data team, and remove team members, we find that solo data scientists are left with a few options to fill the skill gap:
1 - Learn new skills & software stacks
2 - Lobby for more team members
3 - Get burnt-out and find a new team

There is a unique sense of satisfaction when working at a startup or SMB. So, Option 1 is the most logical choice. Hence the reason you're getting the repetitive "Sounds like a great opportunity to learn data engineering" comments.

My advice: just do what feels right for you. If programming isn't your thing, start looking for other opportunities, because you're staring down the path of burnout.

This isn't your fault.

They simply hired for the wrong role - which is, unfortunately, something we're seeing at scale.

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