How Hung Bui did it: Rebuilding Vietnam's Hottest EdTech
Hung is the founder of AIducation, which the show introduces as Vietnam's first AI powered learning platform, built by Vietnamese for Vietnamese. As Hung puts it, you can call it AI education or you can call it education: a platform that supports personalized education, one that knows a child's tendency for learning, their strengths, the areas they are underperforming in, and how to get the student to become better in areas that matter like mathematics and English. It's an all in one platform with a wide variety of tools designed for parents, schools and teachers too, because Hung believes the journey of education is not something the children undergo all by themselves — they go with the parents, the teachers and the school.
But the platform that exists now is very different from where Hung started. His first attempt was called Personal AI, and it focused on the mental side — a service that let you talk to AI pals or friends, similar to character AI at the time, built for a new generation who prefer to talk to their idols like anime characters. It had users. But when Hung looked at the data, he realized most of the stress actually came from education, so a full fledged platform that took care of not just the mental side but also the education side would be the perfect solution.
The pivot was painful. Hung spent a whole year pushing a totally different angle, going out into the field and working with customers, only to realize people didn't want it. The two warning signs: users signed up but there were basically no activities on the platform, and there were no paying users — a monthly active number too embarrassing to discuss. He and his team took a very hard look at both the product and themselves to find their wrong assumptions, then created an entirely new repo and started from scratch. In a four week run of basically two sprints, they had a workable platform to take back to the teachers, students, parents and schools — and this time it got a different response.
What changed was the discipline. As soon as one feature was ready, they shipped it to a testing server and got immediate feedback from their partners. They kept a drawing board mapping which pain point each feature solved, and communicated that clearly with partners and testers. Hung says they went through 124 different variations of the product to make the small changes. His test for whether something works is brutally simple: even if people tell you to your face that they love what you're building, if they don't buy from you, then it's still not good — the moment someone pulls out their credit card is the turning point.
On differentiation, Hung's investor-facing view is that there are two ways to build it: really understand your customer (the reason they flopped was that what they did at the time could be achieved by Chat GPT), and if your features are similar to competitors', the part that matters is distribution — he points to Fireflies AI, founded by two students from MIT, which grew fast through deep integrations. As development gets cheaper and code gets easier to deploy, he argues, what becomes fundamentally important is how you distribute, build a brand and create an image. The most valuable lesson he's learned: he was so immersed in his own view of reality that he didn't have a reality check on whether others would want his product, and it took him a year to fix that mistake.
What you'll hear
- The all in one platform — why AIducation builds tools for students, parents, teachers and schools instead of just the child
- Personal AI, the first attempt — the mental-health chat product that came before, and the data that pointed Hung toward education
- A year pushing the wrong angle — the warning signs of no activity and no paying users, and the decision to throw it all away
- Rebuilding in two sprints — a new repo, a four week run, and a workable platform that finally got a different response
- The credit card test — why "they love it" means nothing until someone actually pays
- Two ways to build differentiation — really understanding your customer, and winning on distribution like Fireflies AI did
- Hiring for vibe over skill — why Hung interviews for whether someone fits the team more than their tech abilities
Key claims from this episode
Quotes from this episode
when we looked at the data we realized that most of the stress actually came from education
— Hung Bui, on why he pivoted from mental health to education (05:11) even if they tell you that it's good, if they don't buy from you, then it's still not good
— Hung Bui, on the real test of product-market fit (07:21) it's the moment when someone pulls out their credit card that is the turning point
— Hung Bui, on what actually proves demand (08:31) the part that matters is distribution
— Hung Bui, on building differentiation when features are similar (16:21) it took me a year to fix that mistake and don't be ashamed of the product that you're building, just show them even if it's like really bad right now
— Hung Bui, on the most valuable lesson he's learned as a founder (24:40)
Themes Hung returns to
- Talk to customers, not yourself — Hung was so immersed in his own view of reality that he didn't check whether others wanted his product
- Payment is the only real signal — everyone will tell you they love it; it only counts when they pull out their credit card
- Distribution beats the model — when features are similar, the part that matters is distribution, brand and image
- Pivoting builds on what you learned — they didn't start from the beginning; they rebuilt from a deeper understanding of what customers actually want
- Ship fast, get feedback faster — as soon as one feature was ready, it went to the testing server and back to real partners
- Hire for the team, not the resume — Hung focuses on whether a person can vibe with the team over their tech capabilities