Siesta Labs

AI hiring isn’t like hiring for regular tech roles.
From overvaluing PhDs to skipping data work — founders make the same mistakes again and again.

This carousel shows how to build an AI team that actually works 👇

New on our blog: Why inclusion is key to building an adaptable and resilient work culture.

At Siesta Labs, we’ve seen how diverse minds lead to better ideas, smarter decisions, and stronger teamwork.

Dive into the research and learn why diversity matters most in small teams 👇
https://siesta-labs.com/blog/diversity-inclusion-in-small-teams

Your startup’s growth should be exciting — not dangerous.
We’ve broken down the key warning signs that you might be scaling too early: from chasing funding instead of customers to building processes no one needs yet.

⚡ See the full breakdown in our latest post.

🚀 New blog just dropped: From Payments to Tokenization – Fintech in Transformation

We look at how digital tokens are changing the way we pay, invest, and own things – and what it means for the future of money.

🔍 Real-world use cases
⚠️ Risks and regulation
💡 What’s next: AI, smart contracts, and “cash-on-chain”

Read more here: https://siesta-labs.com/blog/from-payments-to-tokenization-fintech-in-transformation

How is AI changing the role of Product Managers? 🤔
Less ex*****on, more strategy.
More data, new skills.

What’s your view on the future of product management?

From idea to working app – without writing a single line?
That’s vibecoding.

You describe your goal, AI writes the code, you test and refine. It’s quick, accessible, and changing how teams and solo devs build software.

In our latest article, we explore where vibecoding came from, how it works, and what to watch out for before you ship AI-generated code.

👉 Full story here: https://siesta-labs.com/blog/vibecoding-how-ai-is-changing-the-way-we-code

🚀 New blog post: Serverless or traditional backend – what’s the better fit?

Serverless architecture sounds like magic: no servers to manage, no scaling worries, just your code running in the cloud.

But is it always the right choice?

In this post, we break down:
✅ When serverless works best
✅ When to stick to traditional infrastructure
✅ Why the smartest teams often combine both

Read the full article on our blog 👉 https://siesta-labs.com/blog/serverless-architecture-in-practice-when-to-ditch-traditional-backends

AI isn’t always the answer.
In some cases, simpler solutions are faster, cheaper, and more reliable.

Swipe through our new post to find out when not to use machine learning — and what to do instead.

💬 “There are no small donations.”
Meet Lucie Křížková, Director of Dobrý skutek, and read her inspiring story about leading a nonprofit, embracing technology, and empowering donors to make a difference — no matter how big or small the gift.

From QR codes to digital transparency, discover how modern tools are changing the way we give.

📲 Read the full interview now: https://siesta-labs.com/blog/there-are-no-small-donations-says-lucie-krizkova-director-of-dobry-skutek

🚀 Curious what powers modern AI startups?

From PyTorch and LangChain to Next.js and Delta Lake — we’ve mapped out a full-stack toolkit across ML, data, devops, frontend, and team workflows.

Choosing the right tools early saves you months down the line.

AI just got its USB-C moment.⚡

The Model Context Protocol (MCP) helps assistants like ChatGPT or Claude connect to Google Drive, Slack, and databases—all through one universal standard.

That means faster development, easier scaling, and AI that actually gets stuff done.

But it also raises new questions about access, trust, and control.

Read our new blog post on MCP—what it is, why it matters, and what the future might hold:
👉 Read here: https://siesta-labs.com/blog/mcp-servers-and-why-they-matter-in-the-world-of-ai

Startups often struggle with the same issues — and many of them are avoidable.

In our latest carousel, we’ve highlighted 5 of the most common mistakes that hold teams back:
– Skipping proper market validation
– Scaling before product-market fit
– Ignoring real customer feedback
– Underinvesting in marketing
– Weak team structure and culture

If you’re building something, this might save you a few wrong turns.