Atoms is a 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 charge for, 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.
This looks interesting! What charting library are you using? Does it support more advanced chart types like Sankey, Gantt, radar, etc?
This seems especially appealing for non-technical founders who still want to end up with something real and live. The key will probably be how opinionated the system is versus customizable.
Seeing multiple model providers listed makes sense here. Curious how you choose which model handles which part of the pipeline and whether that changes as the product matures.
The promise sounds ambitious, and that’s exciting, but also raises some skepticism. Owning a full P&L is messy even for humans, so it’d be interesting to hear where Atoms still relies heavily on human judgment.
One suggestion would be sharing a concrete example of a shipped product that’s already charging users. Even a small breakdown of choices made along the way would help people understand the process better.
Upvoted. What I appreciate is the clarity: you’re not selling “AI magic,” you’re selling time-to-shipped-product. For someone building solo, the killer isn’t creativity — it’s the constant context switching across tools and the mental overhead of keeping everything coherent. If Atoms can keep research, decisions, and implementation connected in a way that actually produces a working, deployable, paid-ready app, I can see this becoming the default way people validate ideas (and kill bad ones fast) before they sink weeks into them.
How do you decide when an idea is worth killing versus iterating further. Market research can point in many directions, so curious how much autonomy the agents have in that decision.
Congrats on the launch today. Positioning this as a business team instead of a coding tool sets expectations clearly and avoids the usual prototype trap many AI builders fall into.
This framing around owning the full chain from idea to revenue is interesting. A lot of tools stop at building, but the moment traffic and pricing enter the picture things usually fall apart, so curious how Atoms handles those trade-offs.
Upvoted — if this saves me even one weekend of wiring up auth + Stripe, it’s already worth it.
Been using Atoms for my side project and honestly impressed. The multi-agent setup feels way more capable than other AI builders I've tried. Payment integration worked smoothly, and the research phase actually helps shape the product better. Went from concept to live MVP in under a week. Solid tool.
Is Atoms really able to handle everything from market research to live app deployment for complete beginners? Sounds like a big promise!
Очень гибкий подход к разработке реальных продуктов. Пють от идеи до запуска с линиями автоматизации (от дизайна до frontend/backend) - решает реальная поблема. Нравится, что это не состояние прототипа, а готовые к продаже продукты.
Love that you call out weak ideas instead of generating something anyway. Brutal honesty is more useful than polite code.
Very curious about the SEO and growth side. Shipping an app is not that hard anymore. Getting distribution is. Would love to see more examples of how Atoms handles long tail search and content.
