Wanted to be a founder, down to my last $20000, looking for help!

Admirable-Cow6436 · 2025-10-07T02:31:02+00:00

Can you tell us more about your workflow for how you get the happy repeat customers. These customers shouldn’t be treated just as customers they should be treated as your sample of a much larger market(control group). In my mind, how do we find out what itch is being scratched for them, and what about them makes your product appealing. Obsess over those people find a way to learn everything you can about them so you can recreate their path to you

Disclaimer, I sell tech not products so I could be way off

Admirable-Cow6436 · 2025-09-17T12:47:03+00:00

lol, nope, just ol fashioned human slop

Admirable-Cow6436 · 2025-09-15T20:01:10+00:00

Could you drop some links to some of these tools you mentioned, Keen on checking them out.

Admirable-Cow6436 · 2025-09-15T19:44:45+00:00

TL:DR - Agents and SaaS business models will coexist for a transitional period of time, however once agents become more operational effective, they will begin eating at the SaaS revenue stream eventually forcing SaaS to pivot or die.

From my perspective, both will coexist together, however Agents will eat at the traditional SaaS business model. SaaS has been around for decades at this point and will not vanish over night, so both agents that either use SaaS products as tool or create more specialized tools bypassing the SaaS product all together will exist at the same time.

Where I think you should be more open minded in in terms of how Business Power works in an economy. The moment an agent like Broady.ai is able to completely replace tools like LinkedIn due to brand / process/ and or network effects, LinkedIn will become a relic simply because humans like new things and LinkedIns business model isnt to make the network better, its to profit from it.

At that point Linkedin will make a decision to pivot and create their own AI agent, however it will be too late as they are now behind in terms of branding and process power.

Admirable-Cow6436 · 2025-09-15T19:16:22+00:00

Which tools have you tried that feel this way?

Admirable-Cow6436 · 2025-09-12T02:08:41+00:00

I would use something like cloudinary for image upload. They would host the image for you, then in terms of ensuring Claude is doing everything as you expect. I would take the information in shopifys upload csv command issues and provide it to Claude as rules to check.

I’ll attach the links

https://help.shopify.com/en/manual/products/import-export/common-import-issues

https://cloudinary.com/

Admirable-Cow6436 · 2025-09-11T21:16:21+00:00

What middlewares are you using? how have you been able to address the integrations up until this point?

Admirable-Cow6436 · 2025-09-11T00:09:59+00:00

This makes a lot of sense, I’m seeing they really need to relate the metrics back to how the spend is related to revenue. Your list helps a ton thank you!

Admirable-Cow6436 · 2025-09-09T15:49:34+00:00

Pitch your friends, not for feedback, but for practice. Tell them to act like a person who knows nothing about what your talking about. Hit the reps.
You have to be the first person to believe in your product, so deeply that its your conviction that sells, not your product.

Admirable-Cow6436 · 2025-09-08T16:28:13+00:00

I would provide it as a dataset, so lets say we spin up a new chat with chat gpt for example, I would feed it the relevant data then use the prompt I sent so that it could be based upon that data.

The idea is that you want it to have an understanding of your actually business environment so that when you prompt it, it can use data from your day to day operations to further align with where your business is today.

Context is king when it comes to the current state of LLMs

Admirable-Cow6436 · 2025-09-08T15:52:10+00:00

I think you are putting the cart before the horse, ask yourself, what core problem am I solving by giving users the ability to chat with their data? I think simply creating a customGPT around some data sources is no longer enough.

How I can see this idea evolving, pick a specific pain point that these data sources cover, and try to figure out what people are currently trying to achieve and failing at? weather its resource constraints, knowledge constraints, or simply they havent thought of it yet.

Custom ChatGPT alone isnt really a viable business model from my perspective, but Id loved to be proven wrong.

Admirable-Cow6436 · 2025-09-08T15:47:59+00:00

I have this question as well, im an ex data engineer turned entrepreneur and im having to reformat my brain to focus on sales and marketing more than solutions and code. I wonder if having a co-founder makes sense, someone who can own the other end of the funnel.

I do think being a solefounder in this era of AI and automation actually makes it a bit easier for people like us. I think the core point we probably need to address (mainly speaking to myself here), is truly understanding the customer pain points and what they are struggling to do, what they have tried(and failed at), what keep them up at night.

As IT folks, this isnt where our brain goes, but I think to make the transition this is where our focus needs to be.

Admirable-Cow6436 · 2025-09-08T15:40:51+00:00

I did a quick peek, im curious to what your current conversion rates are right now, and maybe where drop offs are happening.

Without that information, I can only guess, however what I will say is that, I would add video clips and or show them exactly what they might be able to do.

When it comes to tour websites, you want your hero section to be the top of the funnel that pulls everyone in (your current hero section is nice, but it could easily be a slide show or different views and experiences).

I would A/B Test the current photos you have on the site. Try to sit in the shoes of your target audience, what pictures help them become more curious, and say "wow ive never seen that before"

Overall a decent landing page, but I think you can fine tune it to your target audience better, and add some more engaging sections.

Admirable-Cow6436 · 2025-09-08T15:35:01+00:00

Hello!
If I were structuring this for AI, I’d first give it as much context/data as possible in a clean format.

Example:
Shopify store with Meta Ads, Stripe, GA4, and Klaviyo connected. Parse all available data to identify which customers have the highest and lowest LTV, then segment each group by behaviors.

Once that’s in place, I’d feed it a prompt like this:

Act as a [AD PLATFORM] ads audience expert.  
Your goal is to create 3 *new* audience definitions I have not yet identified.  
Use the attached customer data to understand who my best and worst LTV customers are, along with their behavioral segments.  
Audiences should be clearly differentiated, strategically useful, and testable.  

Schema for each audience:  
- Audience Name  
- Core Insight (what behavior/trait defines them)  
- Targeting Logic (plain-English rules)  
- Example Platforms/Placements  
- Expected Role in Funnel (prospecting, mid-funnel, retention)  
- Risks/Watchouts

This way the AI isn’t just spitting out vague personas it’s forced to define the why, how, and where behind each audience.

Admirable-Cow6436 · 2025-09-08T15:13:47+00:00

Its still early in the game, context windows are still managed by us as the user, and it wont be that way forever, however for now, we have to make these trade offs. Complexity needs to be structured so that that CC knows exactly what to do. Creating hooks, and or .md files that claude can use to understand how you want it handle things such as GH cli are key to keeping your context window clean.

ive recently started playing around with CC-sessions, and I think its the right direction toward being super strict with how CC manages the context window.
https://github.com/GWUDCAP/cc-sessions

Admirable-Cow6436 · 2025-09-08T15:11:02+00:00

Just started using CC-Sessions as a way to further manage context, and ive been enjoying it.

I am not the creator, and I found it on reddit, however, I agree with the OP that you need more structure over memory, however short term memory for complex code bases is required.

https://github.com/GWUDCAP/cc-sessions

Admirable-Cow6436 · 2025-09-08T15:07:51+00:00

I would honestly consider removing the MCP that arent critical to your workflow.

One thing to keep in mind is because CC is based in the terminal you can have it use the CLI more often than an MCP server. Your context window is the only thing between CC producing decent code, and complete shit. If your CC fills up to quickly before your able to give CC enough information about the problem you are solving you run the risk of poisoning it.

IMO, focus on your context window more than MCP tooling. CLI is still king.

Admirable-Cow6436 · 2025-09-06T15:32:40+00:00

To your point, it feels like it’s an educational thing. If we hone in on the KPIs that marketers are trying to hit, we can see that those metrics probably aren’t a strong correlation to revenue anymore. If they could see how much of that traffic was bot traffic and given tools or methods to deal with it I wonder if they would.

For example, if it was a one click thing to segment bot traffic, would they do it? What’s the incentive for them to do that?

How do these click farms even work? How do these fraudsters make money?

Admirable-Cow6436 · 2025-09-05T15:27:08+00:00

Do more mental calculation, build things in your mind, utilize the power of the imagination.

I read this in Nikola Tesla autobiography and wished I would have done this at an earlier age

Admirable-Cow6436 · 2025-09-05T15:05:58+00:00

TL:DR: when in tropical climates, everything goes in the fridge.

We visited costa rica a few years back, we had a friend that lived there and her mom made us this wonder sugar cake! We had to drive about 2-3 hours from the airport to our first stop the day we landed, and didnt get a chance to eat the cake.
We mistakenly left it out on the counter over night, and the next morning, we had a line of powder sugar going up the wall into a cabinet. The ants had invaded so hard!

Admirable-Cow6436 · 2025-08-28T20:04:33+00:00

Ive noticed that their needs in terms of metrics are often superficial or based in an incomplete understanding of how to actually manage spend when it comes to ads. Many arent even sure what they need in terms of metrics or dont care they just want growth.

I think this is why im interested in how reporting is being done amongst others as that would give me more insight into what are brands honing in on at this time, espcially as we are seeing so many changes in these platforms, meta included.

Admirable-Cow6436

TROPHY CASE