Tech for Non-Techies

How much does it cost to build an app?
Is my agency ripping me off?
How do I know if what they built is any good?
Am I being too demanding — or not demanding enough?
Every non-technical founder is terrified when they start working with developers. If you don't have a background in tech, you don't know what you don't know and asking AI can spin you down a rabbit hole. 
My guest this week has spent years on the other side of that conversation.
He knows what founders get wrong, what agencies hide, and what it actually costs to build a product. 
Vuk Nikolic leads Hurricane Studio — a development team that specialises in working with non-technical founders. 
Hurricane Studio is also the first ever sponsor of this podcast!
In the intro I explain exactly how we vetted them — because the process gives you a glimpse of how to choose a development partner yourself.
Listen to learn:
How much it actually costs to build an MVP — with real budget brackets for three different types of product
The single biggest red flag when evaluating a development agency 
How to tell if your Lovable or no-code prototype is ready for real users 
Why most projects fail because of communication, not technology — and the specific questions to ask before you sign anything
This episode is for you if:
You are a non-technical founder who is about to hire developers for the first time
You already have a development partner and want to know if they are the right one
You have built something with a no-code tool and want to know what to do next
FREE GUIDE for non-technical founders: Hurricane Studio's Storm Survival guide
Book a call with Hurricane to discuss how to build your venture: https://hurricane.studio/
Timestamps:
00:00 – The most expensive mistake in hiring developers
00:20 – Introducing Hurricane Studios, first podcast sponsor
03:56 – How to spot red flags in your development team
06:47 – Signs your outsourced developers aren't being honest
10:34 – How to track progress when you can't read code
13:55 – Understanding feature trade-offs with developers
16:28 – How much it costs to build an MVP
19:48 – Why MVP launch dates always slip
22:27 – How to reduce your development budget
27:29 – Case study: taking a Lovable prototype to production
32:46 – The #1 sign of a trustworthy development partner
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Transcript: https://www.techfornontechies.co/blog/322-how-much-does-it-cost-to-build-an-app-and-other-questions-non-technical-founders-are-afraid-to-ask

Contrast two AI projects.
One cost $600,000 to build, $500,000 per year to maintain and was shut down as functionally unusable.
The other cut energy waste, reduced equipment damage, and returned 35.8% on investment.
Same tech. Different outcomes.
The difference had nothing to do with the AI — and everything with how the project was set up and managed.
In this episode:
The New York City AI chatbot that confidently told people to break the law
The Korean steel plant that used AI to solve one specific measurable problem — and returned 35.8% on its investment
The five reasons AI transformations fail and how to avoid every one of them
Why AI is execution and product thinking is judgment — and why you cannot out-execute a wrong decision
This episode is for you if:
You are a business or political leader with an AI budget and want to make sure it is not wasted
You are a corporate innovator trying to make the case for an AI initiative internally
You want a clear framework for evaluating AI projects before you commit to them
Timestamps:
00:00 – The $600K AI chatbot that failed vs. the AI that worked
02:11 – NYC's government AI chatbot disaster
07:01 – Korean steel company's successful AI project
09:23 – Why the steel company's AI project succeeded
10:45 – Why 80% of enterprise AI projects fail (RAND research)
11:45 – 5 reasons AI transformation projects fail
14:06 – 2 solutions to fix failing AI initiatives
15:12 – Why product thinking matters more than AI technology
Follow and Review:
We'd love for you to follow us if you haven't yet. Click that purple '+' in the top right corner of your Apple Podcasts app. We'd love it even more if you could drop an honest review on Apple Podcasts. Simply select "Ratings and Reviews" and "Write a Review" then a quick line with your favorite part of the episode. It only takes a second and it helps spread the word about the podcast.

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Transcript: https://www.techfornontechies.co/blog/321-why-80-of-ai-projects-fail-and-it-s-not-the-ai-s-fault-2

Tope Awotona had no co-founder, no coding ability, and three failed startups behind him. None of that stopped him — today, Calendly is worth $3 billion, used by over 20 million people in 230+ countries, and adopted by 86% of the Fortune 500.
In this episode, I break down exactly how a non-technical founder built one of the most capital-efficient startup success stories of the last decade — and what you can actually steal from his playbook.
What you'll learn:
How he chose the idea that finally worked, after two failures 
How he built a $3 billion company completely alone, with no co-founder, ever
How to tell if a development team actually believes in your product, not just your budget
How running out of money by accident became Calendly's biggest growth engine
Want to build a tech venture as a non-technical founder?
Our Non-Technical Founders' Product Accelerator program is for you. 
People have used it to build apps and platforms, raise funding and completely change their careers. 
Timestamps:
00:00 – How Calendly's founder ran out of money by accident
02:23 – Listener shoutout and podcast review
03:04 – Meet Tope Awotona, Calendly's non-technical founder
04:43 – Calendly's $3 billion growth story
07:05 – Why sales, not coding, built Calendly
09:21 – The 3 failed startups before Calendly
11:39 – Why Calendly had no technical co-founder
14:06 – Paying $200K to outsourced developers
16:29 – How Calendly went viral by accident
21:18 – Fundraising only after proving traction
25:26 – 6 lessons for non-technical founders
Follow and Review:
We'd love for you to follow us if you haven't yet. Click that purple '+' in the top right corner of your Apple Podcasts app. We'd love it even more if you could drop an honest review on Apple Podcasts. Simply select "Ratings and Reviews" and "Write a Review" then a quick line with your favorite part of the episode. It only takes a second and it helps spread the word about the podcast.

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Transcript: https://www.techfornontechies.co/blog/320-calendly-the-$3bn-non-technical-founder-success-story

A financial analyst spots something wrong with a deal. He writes up his dissent.
But the AI disagreed. The investment committee spent 90 seconds discussing his objection, and went with the AI score.
A year later, the analyst stopped writing dissents entirely — what's the point?
This story is from finance. But the pattern is emerging everywhere — in law firms, in startups, in any organisation where AI is now in the room when decisions get made.
This episode is about what to do about it.
You will hear from Rana Gujral, the author of the AI Instinct: The Future of Humans and Machine Decision Making
Throughout his career, Rana has founded and exited a machine learning SaaS company, led major technology transformations, and built AI systems deployed across industries ranging from financial services to defence.
Listen to this episode to learn:
Why the biggest AI risk is not that it gets things wrong — it is that it gets things right in exactly the same way as everyone else
How to tell whether AI is augmenting your thinking or replacing it — and the two tests that reveal the difference
What happens to junior talent in law firms and startups when AI takes over the work that builds judgment
The one practical step you can take this week to make sure you are still actually thinking — not just ratifying what the machine already decided
Timestamps:
00:00 – Why AI scoring is silencing human dissent
00:49 – Welcome and back-to-school business energy
05:14 – How one bad AI-backed VC deal got approved
07:32 – How leaders can protect employee judgment from AI
10:24 – Why human intuition still beats AI scores
13:59 – The hidden risk of AI in law firms and junior lawyers
17:47 – Is AI augmenting or replacing your team's thinking?
20:39 – How to rebuild independent thinking after relying on AI
22:27 – Rana Gujral on his new book, The AI Instinct
Follow and Review:
We'd love for you to follow us if you haven't yet. Click that purple '+' in the top right corner of your Apple Podcasts app. We'd love it even more if you could drop an honest review on Apple Podcasts. Simply select "Ratings and Reviews" and "Write a Review" then a quick line with your favorite part of the episode. It only takes a second and it helps spread the word about the podcast.

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Transcript: https://www.techfornontechies.co/blog/319-your-judgment-is-your-most-valuable-asset-are-you-losing-it-to-ai

Slack went viral without spending on ads. Dropbox grew 3,900% without a marketing team. Every founder knows these stories. What most don't know is what was actually happening behind the scenes.
This episode is about the marketing myth that is costing founders millions — and what the smartest ones actually do instead.
Listen to this episode to learn: 
The viral growth myth — why the most famous "organic" growth stories in startup history were actually the result of deliberate marketing investment
Why the average UK startup exits for around $15 million while the average US startup exits for $61 million — and what marketing has to do with it
A simple framework for figuring out exactly how much you should be spending to grow your business
This episode is for you if:
You are a founder who has been telling yourself your product will grow by itself
You are raising money and want to know how to make the case for marketing budget to your investors
You want a practical framework for thinking about growth — wherever you are in the world
⏰ Last chance: Book your free consulting session with Sophia
The link closes on 1 September. After that, it is gone.
If you want help figuring out your marketing strategy, your personal brand, or how to make the case for marketing budget to your investors or CFO — book your session now.
[Book your session here — closes 1 September]
Timestamps:
00:00 – The marketing myth costing founders millions
02:03 – Free consulting session deadline reminder
05:00 – Why US startups outspend European ones on marketing
08:45 – Why marketing is the riskiest job in the C-suite
11:30 – The truth behind Slack and Dropbox's "viral" growth
15:20 – Personal brand as capital-efficient marketing
17:00 – Budgeting for long enterprise sales cycles
19:30 – Marketing spend benchmarks by stage and sector
21:30 – How to calculate customer acquisition cost vs. lifetime value
22:30 – Final advice for founders, investors, and corporate innovators
Follow and Review:
We'd love for you to follow us if you haven't yet. Click that purple '+' in the top right corner of your Apple Podcasts app. We'd love it even more if you could drop an honest review on Apple Podcasts. Simply select "Ratings and Reviews" and "Write a Review" then a quick line with your favorite part of the episode. It only takes a second and it helps spread the word about the podcast.

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Transcript: https://www.techfornontechies.co/blog/318-why-us-startups-beat-europeans-and-lessons-from-slack-and-dropbox