Atoms
Turn your ideas into products that sell
1.6K followers
Turn your ideas into products that sell
1.6K followers
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











Atoms
PicWish
@zongze_x Congrats! 🚀 looks like a serious step up from just coding. how does the research agent handle niche b2b markets compared to generic consumer data?
Atoms
@mohsinproduct
Great question. For niche B2B, we don’t treat it like “generic consumer trend” research. The research agent starts by forcing clarity on the ICP and buying context, then it looks for B2B-specific evidence and constraints, for example:
ICP and workflow: job-to-be-done, current tools, switching costs, integrations, compliance needs
Buyer vs user: who signs, who pays, procurement or security reviews, budget ranges, sales cycle assumptions
Competitive reality: what incumbents already cover, where the wedge is, and what you can win on as a small product
Distribution plan: where demand actually lives for that niche (communities, partner channels, outbound lists, “pain-signal” keywords)
Validation-first MVP: proposes the smallest shippable test that can get a signal from real teams, not vanity traffic
@zongze_x @mohsinproduct
Thank you! For niche B2B we start with a very specific ICP and buying context, then research around workflows, existing tools, switching costs, and where distribution actually happens for that niche. It’s less “broad consumer trends” and more “who buys, why now, and how you’d reach them,” plus a tight validation plan before building too much.
@zongze_x @mohsinproduct
Thanks so much. For niche B2B we try to start from your specific ICP and constraints first, then layer in domain sources and signals, instead of relying on broad consumer patterns. In practice that means we ask for things like target titles, existing competitors, sales motion, price band, and any “must be true” assumptions, then validate those with focused research loops. If you tell me the niche you have in mind, I can share what inputs get you the most reliable output.
Scade.pro
@zongze_x unique idea, congrats on the launch!
Atoms
@nastassia_k Thanks !!!!
Love the ambitious project! Do you have plans to add a vibe marketing type feature once the product is shipped? I believe whoever can build such tool will connect the dots for many dead products on the internet.
Atoms
@jaceperry
Yes, we’re very interested in that direction. Shipping is only half the battle, distribution is where most products stall.
Today we already help with distribution planning, SEO workflows, and content creation. “Vibe marketing” as a deeper feature set is on our roadmap, things like channel specific messaging, content calendars, landing page testing, and iteration loops tied to metrics, without turning it into spam automation.
Also, we will public the Ads Agent soon
@jaceperry Yes, we’re very interested in that direction. Shipping is only half the battle.
@jaceperry Thank you. Research and making the bottlenecks visible is a big focus for us, and we are pushing hard on clarity, not just output volume. And yes, the “build and launch” part is ambitious, we are excited to keep iterating with builders like you.
MGX (Now Atoms)
@jaceperry Yes, it’s on our radar. The natural next step after shipping is helping with distribution loops: messaging, channels, content system, and experiments. We want it to be grounded in strategy and measurement, not generic posting.
remio - Your Personal ChatGPT
Really like the idea of an AI business team instead of just AI coding. Curious what you think is the sweet spot use case right now, indie SaaS, small tools, or DTC style projects.
Atoms
@lvyanghuang
Great question. Today the sweet spot is builders who want something shippable quickly, especially:
micro SaaS and paid utilities, niche tools, AI wrappers with real distribution plans, and long tail products where research and SEO matter.
DTC can work too, but we’re strongest when the core “product” is software and the loop is research → build → launch → iterate.
@lvyanghuang Thank you! Right now the sweet spot is indie SaaS and small paid tools, especially niche workflows where research and distribution matter and you want to get to something shippable with auth and payments. DTC can be a fit too, but we’re strongest when the core product is software.
@lvyanghuang Thanks. Right now the sweet spot is ideas where research, scoping, build, and go to market need to stay tightly connected. Think indie SaaS and small tools with a clear niche and a reachable distribution channel. DTC can work too, but it is usually more asset and brand heavy, so we see better early wins in focused B2B or prosumer workflows.
MGX (Now Atoms)
@lvyanghuang Right now the sweet spot is indie SaaS and focused B2B tools where the ICP is clear and you can iterate quickly. DTC can work too, but it depends a lot on distribution and creative, so we usually recommend starting with a tight niche and one channel first.
Typeless
The deep research angle is what stands out for me. So many tools just rush to generate UI and code. Having something that tells me when an idea is weak before I invest time is super valuable.
Atoms
@yuki1028
Mike here, thank you.
On “validating ideas”, Atoms is meant to run a research first gate before you spend time or credits building. The process is roughly:
Clarify the target user, problem, and what “success” means
Map the market and alternatives so we understand differentiation
Stress test distribution, who will actually discover this and why they would switch
Make the key assumptions explicit, pricing, willingness to pay, channel, moat
Flag the weakest assumptions and propose the smallest validation plan, what to test next, and what an MVP should include
If the inputs are too vague, it will ask follow ups rather than invent a generic persona.
Agnes AI
Race Mode sounds wild. Several AI teams trying the same request and then you pick the winner. That is basically how I wish human teams worked too.
Atoms
@cruise_chen
Love that comparison. Race Mode is our way to make trade-offs explicit instead of locking you into one path. You get multiple approaches in parallel, then you pick based on criteria like speed to ship, complexity, and growth potential. Would love feedback on how we should present the comparison to make the choice even easier.
@cruise_chen Thank you, I love that comparison. That’s exactly the spirit: parallel options, less politics, and clearer choices.
@cruise_chen Thank you. That is exactly the vibe we want
MGX (Now Atoms)
@cruise_chen Appreciate it. That is exactly the intent: parallel approaches, then a clear winner based on goals and constraints, without meetings. If you try it, I would love to hear what evaluation criteria you wish were surfaced more clearly.
NewOaks AI
Sounds amazing Mike! Atoms can actually ship profitable app?
Atoms
@ray_luan Atoms can help you ship a real, paid ready app and shorten the path to testing revenue. Profitability still depends on the niche and distribution, but we try to de risk that early with research, explicit trade offs, and small validation tests before you go all in.
Aha
Excited to see where this goes. If you share a couple of real world case studies, it would help people understand the sweet spot.
Atoms
@kaixin_feng Appreciate that, and agreed. We’re working on publishing real case studies, and in the meantime AppWorld has concrete demos you can explore.