Helping you run a successful startup

This is part 3 of a 3 part series on how to build a recruiting machine. This last part will wrap up the series with how to think through compensation and negotiations to close candidates as well as onboard them effectively.

Computer vision startups need a lot of data to be successful in the long run. However, I've talked a to few startups trying to go from zero data to one billion datapoints instead of taking the first steps from zero to a hundred pieces of labeled data.

Today it’s easier than ever to get creative and build a functional experiment with a shoestring budget. Remember, you should consider your MVP to be an experiment, not a product (I know the naming is confusing). Think of it as a throwaway thing that will end up in the trash later, not the first version of your actual product.

This is part 1 of a 3 part series on how to build a recruiting machine. This first part will dig into the motivations for why it's important to get really good at hiring plus writing your first job description, part 2 will address specific tactics on sourcing and interview loops, and part 3 will dig in how to close your candidates.

This is part 2 of a 3 part series on how to build a recruiting machine. It covers the motivations for why it's important to get really good at hiring plus writing your first job description, this part will address specific tactics on sourcing and interview loops, and part 3 will dig into how to close your candidates.

As the government pours more money into deep tech startups, it'll be more challenging for deep tech startups to rise above the rest. In this article we'll provide 4 essential tips to make any deep tech startup pitch more attractive to investors.

Working with outsourced engineers can either be a cost-effective, time-saving solution or a nightmare of communications and an expensive source of bugs/technical debt. To increase the probability of having a successful engagement, I've compiled a three step guide below.

Southeast Asia is growing incredibly fast. After founding, helping, and just generally being around startups for the past 15 years of my life, I now know that growth rates are the signals you should follow. High growth rates lead to large TAMs very quickly. But why is this region growing so fast?

By far, the biggest takeaway for me is: Founders are ready for primetime. A prime time founder is someone who's ready to take venture capital, grow at ungodly speeds, has the knowledge and capacity to control the organized chaos of a a startup company, and are ambitious and thinking big.

Founders in the Bay Area have all spent the past couple weeks putting together contingency plans for their tech startups. We want to help export some of that knowledge to SE Asia companies to make sure you're thinking about the same things for your company.

Partner at AC Ventures, oversees the SE Asia Mobility Fund. Was the co-founder of Rukita, where he scaled the company to its first $3M revenue. He's also the Visiting Parter for Iterative's W23 batch.

Chinmay Chauhan is the co-founder of BukuWarung (YC S20). He raised $80M in funding and grew the organisation to 400 people. He's also a Visiting Partner for Iterative's W23 batch.

Tessa Wijaya is the Co-Founder and COO of Xendit, a leading payment gateway in Indonesia, the Philippines, and Southeast Asia. Xendit became a unicorn in 2021, making Tessa the only female unicorn founder in Indonesia.

How do you get to 100 *paying* customers? We asked three of our Iterative founders, and here were their answers.

Sia is the co-founder of Tranglo in 2008, a payment processing company that powers the last-mile cross-border payout for various banks and fintechs globally. In 2021, Ripple purchased a 40% stake in Tranglo for an undisclosed amount.

Before Iterative, Sylvia was the co-founder of Omnilytics, a retail insights platform. At Omnilytics, Sylvia led Customer Success, growing NRR to >100% and serving global clients like Uniqlo, Lenzing, and Lidl.

We've asked some of our portfolio founders on their experiences doing office hours during their time in the batch - and what they've learned.

Kum Hong is a business leader, GM and angel investor. He spent 10 years at Airbnb, starting as the APAC General Counsel before transitioning to run business and operations as the APAC Regional Director in 2017. Three years later, he was appointed as COO for Airbnb China.

For this batch, we received 1,000+ applications and had 500+ calls interviewing companies. From there, we selected these 24 companies. Read the article to read more about them and why we invested.

Explore job opportunities from our portfolio of 100+ companies with Iterative's Startup Job Board.

We’d like to do a little bit more before the end of the year, and hopefully meet you in the process!

Join one (or all!) of our events and initiatives this month, exclusively for women founders.

We took our list of 1,270 people and 551 funds, enriched it with information like investment stage, location, etc. and are making it available to everyone.

Introducing Startup Academy, a free collection of courses, guides and templates on how to build startups in Southeast Asia.

Join our validation program to confidently convince yourself to move forward as a founder with a startup idea that is worth investing in.

This is our fourth year of running Iterative and our seventh batch of companies - but it feels like we're just getting started.

For a startup to be successful, it needs to be solving an important problem.

What do we look for when deciding to invest in startups?

The most important thing for a startup, and by extension the engineers at the startup, is iteration speed.

Here are the 3 questions I ask myself when trying to answer this question and what to do about it.

Fundraising is slow right now. My hunch is fundraising both will pick up in the second half of this year. Here's why.

Interestingly enough, 'product market fit' is a term often used by founders starting out but almost never by more experienced founders. Why?

A year ago, I wrote our first Request for Startups - and I'm revisiting the themes again to see what I got right or wrong.

A common question we get is: “Which is more important in fundraising: a strong story or strong traction?” But what is a strong story and strong traction — and why are they important?