Software Startup Ideas in 2023 | SaaS

Something special is happening in SaaS right now. This only happens once a decade. First there was Cloud/Internet. Then there was Mobile. And now there’s AI. Much like any new platform shift, we’ve had false starts.

But this time, it’s evident that SaaS will not be the same again. This opens up amazing new opportunities for new software startup ideas. And on today’s episode, I’m going to walk you through the 3 principles you absolutely need to know to take advantage of this platform shift coupled with key SaaS ideas that I’m excited about so you can accelerate the growth of your SaaS business.

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^^ I drop an episode EVERY Sunday to help startup founders, like you, become Unstoppable in your life and business.

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WORK WITH TK TO SCALE YOUR SAAS GROWTH

Learn more about my SaaS GTM Program (Accelerate to $3M+ ARR) 👇

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PLAYLISTS TO WATCH NEXT

1) SCALE AND GROW YOUR SAAS STARTUP WITH AN UNSTOPPABLE GTM

2) CREATE AND EXECUTE ON AN UNSTOPPABLE STRATEGY FOR YOUR STARTUP

3) QUITTING YOUR JOB AND STARTING A SAAS BUSINESS

4) RUN YOUR LIFE LIKE A PRO ATHLETE TO MANAGE FOR BURNOUT AND DRIVE PEAK PERFORMANCE AS A STARTUP FOUNDER

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WHO IS TK? AND WHY DID HE START UNSTOPPABLE? 👇

^^ How I quit my finance job, built, scaled, and sold a venture-backed startup, and then helped sell the company that bought mine for $4.75bn. Here’s my crazy founder story.

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Say hi on social 👋:

#tkkader #startupideas #saasideas

[TKKader]

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[christopherjames]

It's 4am and I'm sleepy. But this great information still sinked in. A very comprehensive content yet simplified. Goodnight.

[adityaladwa]

Amazing video!
here are some caveats:
1. Building models is more challenging than we think, even with help of chatgpt
2. Multi million or even median companies still have loads of data for transfer deep learning methodologies
3. We dont have 1 and 2.
4. Definately possible however.

[quintaonditi]

So happy I came across this, I explained this to someone and they said if it doesn’t exist I have not done enough research. Foresight is very important. I’m looking forward to testing my idea 🙏🏾

[MrBadGenius]

Awesome content, I am inspired. I am from Ukraine, but was lucky to work with USA based companies during my entire career and currently I am building b2b saas products with low code and ai (Microsoft stack). Thanks for the inspiration. It’s actually what we are doing and planning to launch the products to build intelligent organisations. Simply because it looks logical extension for organisations.

[vjc]

Absolutely valuable information being shared here! Will definitely help me as i start on my SAAS founder journey!

[azeemsadiq]

Already working on exactly this! It’s coming along very well so far for my use case. Thanks TK

[soccerkid]

First time watching you and you got me hooked… got a new subscriber

[waynelast]

I’ve been up all night. You have too many good videos. I have to sleep you know.

[ЮрийЛ-лб]

TK, you inspire me to keep creating and nudging me to have a vision of what should be done

[realmindshift]

Damn. This is great. Thanks for sharing!

[JetSoftProHQ]

Fantastic video! The advice shared here is invaluable. It's a great reminder that embracing creativity and staying business-oriented are vital for achieving success in today's market. Thank you for providing such clear insights into current trends!

[saas-space]

TK, great content. Looking forward to more videos from you!!

[signitureDGK]

Very Interesting. Just a few questions. would a SAAS operating at the intelligence layer operate on all the departments? What meaningful models can I train on lets say, just Sales CRM data?

I feel like this tool is more of an automated data analytic solution. Instead of outputting charts and numbers, you provide real predications/actionable steps as a solution. A company would have to trust you with all their data and that might be a hard sell for large enterprises.

Also, where would we get the training data/how would we know the biases/parameters to include to train this data to test our solution before we get it to market?

[gavinpercy.]

Kind of seems like you could create a consultant. The AI consultant will learn not only the users data but you can feed it industry specific metrics. You have my attention! Thank you

[kevingray]

TK, you are AI. Predicting the future. Go build another company. This is pretty obvious but nice to see someone talking about it and to hear that some are already on this journey of innovation.

[jokosalsa]

TK, my question to you: building a model on top of gpt3 or 4 means that I have to load my data to openai. How can we know that is secure? That is my concern. Especially when you have sensitive data you don't want others to "see".

[Orbittai]

The use of the marker on A5 size page! Why? 😂

[kdykes]

Great content and analysis! It was rewarding to see almost identical thinking - albeit differently structured than your table - as our strategy and how we are executing in vertical SaaS. I am very curious how you think of TAM for this new System of Intelligence area. You refer to it as becoming the most financially valuable to the customer. However, do you see TAM being calculated as a percentage of systems of record, engagement and decisioning (much like cloud security TAM is approx. 5-8% of cloud infrastructure spend)? Or do you actually feel the system of intelligence will overtake market opp. of the others?

[jonkraghshow]

TK, I'm so glad I saw this on LinkedIn. You are spot on. I saw you were at Bridgewater; I *almost* went as a dev around the same time. Awesome content here.