Antia

[Hellyeah.ai @hellyeah_ai]

NEW FEATURE 🎬🧡

New in Hellyeah: video ad support for Performance Max campaigns.

We’re expanding the creative formats you can work with in PMax—and this release brings video into the mix.

Also shipped: a little polish where your team leaves feedback. Author comments now have improved Markdown styling, making formatted notes easier to scan and follow.

Built with the people who keep shipping: @Doudoujay @dralaska_ @anitawu001 @lololalahaoran @YChahahahaAI @lwqconnie @Antiaefuj @MuvaniaJaya @MarcoFerna60597

Go make some ads. 🎬

[Jay Ma @Doudoujay]

Most engineering interviews are already obsolete.

And most hiring managers are measuring the wrong thing: résumé prestige, LeetCode speed, and the ability to sound impressive for 60 minutes.

For AI-native teams, the bottleneck is no longer typing. It is judgment.

Can you choose the right problem? Give an agent the right context? Catch a plausible wrong answer? Recover when the data, evaluator, or dependency changes?

My hiring philosophy is simple: start with the 90-day outcome, look for evidence of exceptional ability, let candidates use AI openly, and test whether they can verify and own the result under changing constraints.

Introducing hellyeah/assessment: an AI-open engineering assessment where candidates can use Claude Code, Codex, and their own tools. The proposed workflow gives them four hours to work on a real problem.

We are not trying to detect AI use. We are trying to see what happens around the code: what they delegate, verify, keep human, and stop doing.

Built with @Bharath_uwu, @WilsonTseng8, and @joshualocke100.

The controversial view: the best AI-era engineer may be the person who knows which code should never be written.

What part of the traditional engineering interview would you delete first?
@lwqconnie @lololalahaoran @anitawu001 @YChahahahaAI @MuvaniaJaya @Antiaefuj @MarcoFerna60597

[Jay Ma @Doudoujay]

We’re hiring like crazy at Hellyeah AI.

Our product helps companies generate millions in revenue with efficient, agent-led paid media campaigns. We're backed by top VCs and growing insanely fast.

Come work with us if you are:

1. A problem-solver who can hack any solution
2. Super curious and always on top of the latest in the GTM space
3. Great at context-switching at scale (ruthless at triaging / prioritization)
4. A great people manager who can apply the same mentality to a fleet of agents
5. Believe that B2B marketing shouldn't be boring

A few roles we're actively looking to fill right now:

- AI Engineer, Learn Engine: Intelligence & Optimization (SF): https://t.co/OP6pI6GsxN
- AI Engineer, Learn Engine: Platform & Simulation (SF): https://t.co/SPMspNsZRk
- Senior Tech Product Manager (SF): https://t.co/D3AbBnjdJu
- Founding AE (SF): https://t.co/R1XgB2j5mF
- Senior BD Manager (SF): https://t.co/h00JIhq6KN
- Senior User Acquisition Manager (SF): https://t.co/e8K8gSCX2m
- GTM Associate, Events & Partnerships (SF): https://t.co/xXW6jqHt6J
- Senior Algorithm Engineer, Quantitative AI Systems (Shanghai): https://t.co/Xd2O2p7XoX
- UI/UX Designer (Shanghai): https://t.co/G4yTZr5Ytg
- Performance Creative Designer (Seoul): https://t.co/Obcp2VSua8

Check out our careers page for more: https://t.co/BDKY6qxQyd

If you're cracked at what you do, come build with us!

The team you'd be building with: @dralaska_ @lwqconnie @lololalahaoran @anitawu001 @YChahahahaAI @MuvaniaJaya @Antiaefuj @MarcoFerna60597 @Bharath_uwu @joshualocke100 @WilsonTseng8

[Antia @Antiaefuj]

where would you draw the line?

[Jay Ma @Doudoujay]

My cofounder and I spent 2 years building Final Round AI and scaled it to 8 figures. Then we decided to start all over again.

In 2024 we built an AI powered interview tool to help millions of people land their dream job.

After launch we saw immediate traction. People loved the product.

But 2 years later, we began to see how we could go in a different direction: we could consolidate all our learning from Final Round to empower people with our GTM secret sauce. So we started building Hellyeah AI.

Don’t get me wrong - Final Round had growth momentum people were super jealous about. We got lots of questions about our secrets because we were getting traction so fast.

But even as we were scaling it, we knew in the back of our minds that we had a consumer product with limited upside.

The market for interview prep is smaller than the opportunity to build digital workers, and Michael Guan and I wanted to build a $B+ company.

So we took our technical foundation and learnings - including all the training data we had from humans - and decided to transition to something better. We believe that if you can train agents to pass job interviews and assess human beings at scale, you can train them to clone any human behavior out there.

And which use case does every company on earth need help with?

User acquisition.

Every company needs new leads, and many run paid media campaigns to grow. But they usually work with agencies that cost an arm and a leg, or run campaigns in-house with humans. Very few are leveraging AI in the process.

After months of head down building, we've built a product that companies like Truist, Hyperspell, Fish Audio, WPT Global, Eragon, TIMEDOMAIN , and Marvel Snap are using to drive millions in revenue, at a fraction of the cost.

I'll be sharing more about our work here soon.
Building it with @dralaska_ and the team: @lwqconnie @lololalahaoran @anitawu001 @YChahahahaAI @MuvaniaJaya @Antiaefuj @MarcoFerna60597