Hey everyone,I come from a Civil Engineering background and recently joined full-time as an Assistant Manager in a Supply Chain Management role after getting a PPO from my internship.

During my internship, most of my work was operations-focused, involving execution, coordination, tracking, reporting, and other manual processes. I wasn't really involved in coding-heavy projects.

Now that I've joined full-time, my team wants me to work more on the data analytics and automation side. They've been talking about automating repetitive tasks using Python, Google Apps Script, and other tools. The problem is that I'm completely lost on where to start.

I did learn some Python during placement preparation and have worked with a few libraries before, but I've forgotten most of it. I do know Power BI and Looker Studio at a basic-to-intermediate level, but Google Apps Script is totally new to me. People are also mentioning TypeScript, and I don't really understand where it fits in or whether I should learn it right now.

A few questions:

\- If you were starting from scratch, what would you learn first?

\- Any good beginner-friendly courses or YouTube playlists for Python automation?

\- How important is Google Apps Script in supply chain/data analytics roles?

\- Do I need to learn TypeScript as well, or can I ignore it for now?

\- What tools are commonly used for automation in operations/supply chain teams?

\- Are there any AI tools that can help build automations without being an expert programmer?

My goal is not to become a software engineer. I just want to become capable enough to automate reports, dashboards, trackers, emails, data cleaning tasks, and repetitive workflows that teams usually do manually.

Would really appreciate advice from people working in analytics, operations, supply chain, or automation roles. Feeling a bit overwhelmed and clueless at the moment.

I want to run AI automation that basically markets for my buisness on social media. I would like the AI to

• Scrapes competitors every day,
• Finds viral content before it peaks,
• Generates posts automatically,
• Schedules them,
• Tracks website conversions, and
• Learns which content actually drives sales so each month's content performs better than the last.
• Follow users
• Like posts
• Leave comments
• Send DMs

This would be a dream come true to help me gain website traffic.

Hey!

I’m based in the EU and trying to break into remote work focused on AI automation (things like building workflows with tools like n8n, Zapier, Make, or working with LLM APIs to automate business processes).

A few questions for anyone who’s done this:

**•** Did you go the freelance route first (Upwork, Fiverr) or apply directly to companies?  
**•** What skills/portfolio pieces actually got you hired?  
**•** Are there specific niches within “AI automation” that are easier to break into?  
**•** Does being in the EU (timezone/visa stuff) make it harder to land US or global remote roles? Any tips for working around that?  
**•** Any good communities, job boards, or resources you’d recommend?

Would really appreciate any real-world advice, even if it’s just “here’s what worked for me.”

Thanks!

Howdy,

So I started getting into AI just for my own business because I knew I wanted specific features and automation for my website and man had it been a rollercoaster. I built everything I wanted and then some holy crap AI is amazing.

I came here because I am interested in learning how I could try to advertise my business through social media marketing. We have a pretty big following on social medias I just don’t understand how I can produce content on a consistent schedule for things like YouTube, tiktok, Instagram, twitter, facebook, and Reddit.

Are there certain ai tools commonly used or do people just straight up use Claude and GPT to make these things. The content I’m looking for is basically short form videos or posts and maybe some interactions if that’s possible? Super interested to know if you guys have any recommendations on how I can create a constant flow of content to promote my business and its services.

My business involves Video Game Services essentially Coaching for various video games.

I appreciate any help thank you.

m curious how others in technical-but-not-software-engineering roles are approaching AI.

For context, I work in Marketing Technology / Marketing Operations. My role is heavily focused on automation, integrations, GTM systems, and data. I spend a lot of time building workflows in middleware tools, integrating APIs, troubleshooting systems, and optimizing processes.I’m comfortable using AI to help write code or scripts, and I can usually validate and test things piece by piece. But I wouldn’t consider myself someone who can build full applications from scratch.

Our company has a strong AI mandate, but I’m finding it harder to apply than some of the other teams. Content marketers can use AI to draft content, campaign teams can brainstorm messaging or plans, etc. My work is much more dependent on internal systems and data, and our AI tools have very limited access to those systems. Even when we do eventually get access I feel like I need to be more hands on to be able to make the most of it and work in it confidently.

Because of that, I feel like I’m stuck. I want to get better with AI, but it’s difficult to experiment when the problems I solve every day can’t really be reproduced inside our company’s AI environment.

So I’m wondering:
- How are people in technical operations roles actually building AI skills?
-Did you create your own sandbox with personal projects, APIs, and sample datasets?
- Is it worth paying for these tools to experiment outside of work?
-If you made that investment, did it translate into skills that you were able to bring back into your day job?
- Are there particular projects or learning paths that helped bridge the gap between “AI user” and someone who can genuinely build AI-powered workflows?

Would love to hear how others in MarTech, RevOps, GTM Ops, or similar technical support roles have approached this

For my current job, they asked me to build an automation related to post-sales support.

It retrieves information from several tools the company uses, then fills out a Google Doc for each client. Each doc is quite long, made up of 11 sections.

On top of that, every time the agent runs, there are a lot of sales projects (70+) it needs to run for.

What’s currently happening is that the agent stops because it hits the Google API quota, since multiple requests hit the API at the same time (exceeding the per-user/per-minute quota).

The current structure: an orchestrator retrieves all the information, plus a few sub-agents, each handling a batch of three sales projects. I’ve tried reducing both the number of projects per batch and the number of concurrent sub-agents running.

I also changed the Markdown files for each section, trying to complete a full MD file first and then batch-write the Google Doc in a single API call.

Any suggestions or rules of thumb for automating the writing of multiple long Google Docs at the same time?

Sharing this because content automation gets pitched in here constantly and nobody talks about month three.

The build was standard: Google Sheet of topics, Claude API drafts the post, image gen for the visual, scheduled publish to Instagram and LinkedIn through the APIs. Client is a fitness studio. Weeks 1-8 were genuinely good. Consistent posting for the first time in their existence, reach up, owner thrilled.

Then it slid. Not to zero, but noticeably. Reach down maybe 60% from peak by week 12.

Best explanation I've got: novelty was doing the heavy lifting. Once the audience subconsciously recognizes the template (same structure, same visual style, same caption rhythm) they scroll past. The generator didn't get worse. It got recognized.

What actually helped:

1. A feedback step. The workflow now pulls saves/comments/replies per post weekly, and the drafting prompt gets updated with whatever the top 20% of posts had in common. Crude, but it stopped the bleed.
   
2. The owner records one messy phone video a week. Human posts anchor the account, generated posts fill the gaps. A mixed feed decays much slower than a pure generated one.
   
3. Killed daily posting. Four generated per week plus one human beat seven generated, easily.
   

The uncomfortable lesson: you don't build a content pipeline once. You tune it monthly or it dies quietly. I now price these with mandatory monthly maintenance and turn down the set-and-forget version, because that version makes you look bad 90 days later.

If anyone's running content automations past the 6-month mark, I'd genuinely like to hear what's kept them alive.

I built a tool that takes a keyword as input and automatically fetches relevant discussions from Reddit and Quora.

For each result, it displays:

📌 Title

📄 Snippet

🔗 Source link

😊 Sentiment (Positive, Neutral, or Negative)

The idea is to save time by giving a quick overview of what people are saying about a topic without manually searching through both platforms.

I'm still improving it and would love your feedback.

What additional features would make this more useful?

Over the past few months, I've spoken with people in the lending space, and one challenge keeps coming up.

It isn't getting leads.

It's managing them efficiently.

A typical journey looks something like this:

• A customer sends a WhatsApp message.
• Someone manually collects documents.
• Another team member checks eligibility.
• A loan officer answers interest rate questions.
• Follow-ups happen across WhatsApp, Excel, CRM, and phone calls.

As lead volume grows, it becomes harder to keep response times low and ensure no enquiry falls through the cracks.

This got me thinking:

What if AI handled the repetitive tasks, while humans stayed in control of every business decision?

That's the idea behind LeadPilot.

Instead of replacing your sales team, it helps by:

• Automatically qualifying loan enquiries
• Collecting customer information
• Routing leads to the right loan officer
• Escalating exceptions for human approval
• Maintaining an auditable decision trail
• Integrating with existing CRM and WhatsApp workflows

The goal is simple: let your team spend more time closing loans instead of managing spreadsheets and repetitive conversations.

If you're curious, you can explore the platform here:

https://leadpilot.thworks.cloud/

The platform is currently password-protected. If you'd like to try it out, leave a comment or send me a DM, and I'll gladly share the access credentials.

I'm also curious to hear from others in lending:

What's the biggest bottleneck in your current lead management process?

A question I ask business owners all the time.

Not because of hiring.

Because it reveals where the business depends too much on people instead of systems.

For many businesses, the answers are:

• Lead follow-ups stop.
• Customer inquiries pile up.
• Reports don't get generated.
• Appointments get missed.
• Data never reaches the CRM.
• Internal communication slows down.

The goal isn't to replace great employees.

The goal is to make sure the business keeps running—even when someone is on leave, sick, or moves on.

So here's my question:

If your best employee didn't show up tomorrow, what process would fail first?

I'd love to hear your answers and discuss how you'd make that process more resilient (with or without AI).

Run a small agency (7 people) and booked a demo with Acquisity today after getting their ads on meta

Went in expecting the usual "look how amazing our AI is" pitch but it was pretty chill. They spent most of the call asking how we get clients now and where things keep breaking rather than immediately trying to sell me.

The platform itself looks... big. That's probably my biggest takeaway lol. It isn't just another cold email tool from what I could tell. They showed the AI SDR and proposal builder on the call. I'm pretty sure I only saw half of it before we ran out of time.

Right now we're bouncing between Instantly and a CRM,

That said, I also got the feeling it's one of those platforms where you probably don't know if it's actually good until you've been using it for a few weeks.

Has anyone here actually been using it for a month or two? what features you ended up using the most after the onboarding was over ?

If anyone wants to know more about the demo, just DM me. Happy to share my experience.

Hey everyone,

I recently started my first little business (still figuring everything out) and one thing I'm really struggling with is actually getting meetings.

I don't have a huge budget to hire SDRs or agencies or anything like that, and tbh I'm still learning sales myself. right now it's basically just me doing outreach over emails which I scrape from the net whenever I get time, which isn't exactly the best system lol.

I've been seeing loads of AI tools lately that say they can help with finding leads, sending emails, replying to people, booking calls etc, but I have no idea which ones are actually worth looking at

I'm not looking for some magic button that gets clients overnight but just something that can save me time and help me stay a bit more organised while I'm getting started.

What are you guys using at the moment?

Would really appreciate hearing from people who've actually tried them

Operating system for field service companies that have physical products requiring after sales (solar, automotives, machinery etc). Let me know if you are building something interesting in space.

Plus, if you are someone that is in some role in this space (aftersales manager, live ops manager) I would really appreciate your help. I have some questions. Thanks a lot!!

Free accounts get deleted august 15, paid accounts september 14. after that everything is gone, workflows, run history, credentials, table data, no recovery

few things people are missing that'll bite them if they dont catch it now

The export link expires in 48 hours: not 48 hours from when u remember to do it, 48 hours from when u generate it. go export ur workspace right now before reading the rest of this

The json export is basically useless for rebuilding: relay's internal structure doesnt map to n8n or make, u cant just import it. the actually useful thing in the export is the ai rebuild prompt for each workflow, thats ur real starting point. copy those individually per workflow, dont rely on the zip having everything u need

Screenshots dont come in the export either: if any of ur workflows have visual branching logic thats not obvious from the prompt alone, screenshot them separately before they're gone

Table data is a separate export entirely: if u built any tables in relay, csv export those on their own, they dont come bundled with the workflow export

on where to actually go:,n8n is the closest match for most relay workflows especially anything with branching or ai steps. Make is fine if ur stuff is mostly just linking standard saas tools together with simple logic. If a workflow was doing real multi step reasoning, this is honestly a good excuse to rebuild it as a proper agent instead of forcing it back into a step by step flow

Biggest mistake i've seen so far: people trying to migrate everything 1:1 under deadline pressure. this is actually the right moment to kill dormant workflows nobody's touched in months instead of dragging them into the new platform. Also a good moment to upgrade whatever old gpt model relay had running under the hood, claude sonnet or gpt-4o will just perform better on the same task

hi i created my linkedin account in june this year but i made a mistake while setting it up i used an ai altered image of mine has my profile picture when linkedin asked me for identification my profile photo didnot match with the one that i uploaded on linkedin . i tried verification multiple times but there was no change at last linkedin restricted me from accessing my account i want to know can i create a new account with my new id , real picture to get identification done easily or will linkedin restrict me from doing this its been 1.5 months for this restriction now.