AI Startup Founders:
Is Your Product a 'Must Have' or Just a 'Nice to Have'?

AI Startup Founders:
Is Your Product a 'Must Have'
or Just a 'Nice to Have'?

AI Startup Founders:
Is Your Product a
'Must Have' or Just a
'Nice to Have'?

Informative

Informative

AI startup founders: Is your product a ‘must have’ or just a ‘nice to have’?

This is an important question to ask yourself as early as possible.

Especially with the AI trend behind your back, it’s easy to confuse short-term interest with organic growth. 📈

Companies with “GPT-Wrapper” type products (ChatGPT with UI rebranded for various use cases) are the most susceptible to this issue. With low entry barriers, competitors can easily replicate your offering, leaving you with a weak moat.

AI startup founders: Is your product a ‘must have’ or just a ‘nice to have’?

This is an important question to ask yourself as early as possible.

Especially with the AI trend behind your back, it’s easy to confuse short-term interest with organic growth. 📈

Companies with “GPT-Wrapper” type products (ChatGPT with UI rebranded for various use cases) are the most susceptible to this issue. With low entry barriers, competitors can easily replicate your offering, leaving you with a weak moat.

So, how can you strengthen your position in the AI startup landscape?

The key lies in solving a complex and industry-specific problem with a highly fundamental approach instead of a broad, superficial solution.

This may mean building a unique piece of technology, that isn’t just a reframing of existing AI models.

To achieve this, you must leverage:

•   AI trained on highly relevant, vetted data (RAG)
•   Custom coded foundational models tailored to unique components and dynamics of the industry.
•   A product that is significantly more cost effective and sustainable than relying on GPT tokens, and other paid APIs.

Tackling one problem well with a unique model that cannot be easily replicated, will be your ticket to Series B and beyond, to a successful IPO. 🚀



#AIStartup #FoundationalModels #GPTWrapper #ChatGPT #Product #SeriesB #API hashtag#FoundationalModel #IPO

So, how can you strengthen your position in the AI startup landscape?

The key lies in solving a complex and industry-specific problem with a highly fundamental approach instead of a broad, superficial solution.

This may mean building a unique piece of technology, that isn’t just a reframing of existing AI models.

To achieve this, you must leverage:

•   AI trained on highly relevant, vetted data (RAG)
•   Custom coded foundational models tailored to unique components and dynamics of the industry.
•   A product that is significantly more cost effective and sustainable than relying on GPT tokens, and other paid APIs.

Tackling one problem well with a unique model that cannot be easily replicated, will be your ticket to Series B and beyond, to a successful IPO. 🚀



#AIStartup #FoundationalModels #GPTWrapper #ChatGPT #Product #SeriesB #API hashtag#FoundationalModel #IPO

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