Atoms is the first vibe business team that turns your ideas into business. It researches your market, designs the product, builds frontend and backend, connects auth and payments, and ships a live app you can make profit, not just a prototype
Hey PH 👋 I’m Mike, team lead for Atoms.
For the past few years we’ve been obsessed with one question: can an AI team build a real, profitable business, not just a nice demo?
Atoms takes a raw idea and runs the whole chain: research → design → build → launch → traffic → revenue. My job is to make sure the AI makes sane trade-offs and actually ships.
Happy to answer anything about how we run multi-agent “teams”, how we evaluate business ideas, or what breaks when you ask AI to own a full P&L.
Hey there! Just a quick feedback - I took quite some time to write a through and long initial prompt, it took me to the Log in/Sign up page and after signing up, the prompt was gone. I was expecting to see it ready right there for me after signing up. Anyways, good luck with your product!
Such a good idea! Does Atoms offer an API, white-label options, or agency partnership programs that would allow us to use or resell your platform for client projects? Is that something you guys are interested in?
When someone is comparing Atoms to Replit Agent / Bolt / Lovable / v0-style tools, what are the situations where Atoms wins decisively? And what are the situations where you’d tell users to pick something else?
This feels super timely, especially with Claude Cowork launch. The market is wide open for a lot of fun iterations, and I love the idea-to-shippable app flow with auth, payments, and code export 🚀
This is an ambitious step beyond “vibe coding.” Treating distribution, payments and real revenue as first-class constraints is what most AI builders avoid, and it’s where things usually break. I’m particularly interested in how you enforce guardrails around trade-offs as the agents move fast because shipping is easy, shipping something people will pay for is not.
I used MGX last April. I really liked the idea and how it was approached, though the results at the time weren’t quite an WOW result for me. I am planning to try Atoms over the next few days and I am exiting to see how it performs.
Ps: Even if it doesn’t fully deliver what I am hoping for right now, I’m rooting for you guys. I love the concept and I’ll keep supporting you.
Curious how it evaluates whether an idea is worth pursuing in the first place. Is it more market-driven or execution-driven early on?
It looks like a very interesting product that is worth imagining. However, if the products created through Atoms are profitable, who does the copyright belong to?
What stands out to me about Atoms is that it starts from market research and product design, then carries that context through build, auth, payments, and launch. It feels less like shipping a prototype, and more like turning an idea into something that can actually run as a business, which is genuinely exciting to see.
Hey PH, Sarah here. I focus on SEO for Atoms.
A business that nobody can find isn’t a business. So we built Atoms to not only ship products, but also ship the landing pages, site structure, and content needed to rank and convert.
I’m especially excited about the long tail: local tools, small languages, tiny verticals where good SEO plus a cheap AI stack actually beats big players.
If you’re curious how Atoms handles SEO at scale, or you want to stress-test it with a weird market, I’m all ears
Hi, I’m Iris. I handle deep research for Atoms.
Before Atoms commits agents and infra to an idea, I try to break it: who’s already doing this, how do they acquire users, what does search look like, what’s the real willingness to pay?
The sweet spot is ideas that look “too niche” for a human team but are perfect for an AI team that can launch in hours. Those are the things I’m hunting for.
If you have a niche you think is “too small” but interesting, tell me. I’d love to see if Atoms can make it work.
Congrats on the launch, excited to try this out on a few ideas and see how it performs. Really curious to check how much of the decision making is 'AI vs me', and how many decisions the agents make autonomously.
Wow, this looks huge, the workflow feels very complete. I’d love to give it a try. And the agent avatars are really cute too!
Overall this feels like a bold attempt to compress an entire product team into an AI native workflow. Excited to see real case studies and to try it on a couple of risky ideas.
Good luck with the launch. Curious how it handles the complexity of connecting authentication and payments. Those integrations usually require careful configuration beyond what automation can fully solve.
