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 !!!!
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.
minimalist phone: creating folders
In what is this different from V0 and similar?
Atoms
@busmark_w_nika
Great question. Tools like v0 are amazing for fast UI and prototyping.
Atoms is built for the “idea to business” loop: it starts with research and product scoping, then carries that context through build, backend essentials like auth and payments, and finally launch and distribution (SEO/growth). So the goal isn’t just a nice UI, but something closer to shippable and monetizable.
Got burned by spec drift once. If Atoms keeps research and scoping tied to build, auth/payments, and distribution, that's the part that earns trust. Do you show a per-step change log for Race Mode winners? That audit trail makes it usable.
Atoms
@piroune_balachandran
This is such a good call, and I’m with you on the trust angle. Spec drift is brutal.
Today we keep the research, scope, and build plan linked, and we preserve the outputs from each team so you can see why a “winner” was chosen. A true per step diff style change log and audit trail is something we’re actively working toward, because it’s exactly what makes multi agent work usable in real projects.
If you have a preferred format, for example Git style diffs, timeline events, or decision checkpoints, I’d love to hear it.
@piroune_balachandran Totally feel you, spec drift is painful. We keep the research and scope tied to what gets built, and we preserve each team’s outputs, but a true per-step audit trail and change log is something we’re actively pushing toward. I agree that kind of traceability is what turns this from “cool” into “trustworthy.”
@busmark_w_nika Great question. v0-style tools are fantastic for fast UI and prototyping. Atoms is built for the full idea to business loop: research and scoping first, then build with the “messy middle” like auth, payments, deployment, and a distribution plan so it’s closer to something you can ship and charge for.
@busmark_w_nika Great question. Tools like V0 are awesome for generating UI and code quickly. Atoms is aiming to be a full AI business team workflow, research, positioning, product spec, build, then go to market outputs like landing copy and distribution plans, with the goal of turning an idea into something you can actually ship and charge for. If you tell me what you use V0 for today, I can map the overlap and the differences more concretely.
MGX (Now Atoms)
@busmark_w_nika Great question. Tools like V0 are excellent at generating UI and front end artifacts. Atoms is focused on the end to end workflow: research, product decisions, build plan, and then shipping toward something you can actually launch and monetize, with the assumptions made explicit.
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.
RiteKit Company Logo API
I've been building with Atoms for sevral days, pleased so far, even did your survey, hoping to hear back on whether it was accepted (search from my ph username for that).
Best of luck with the launch and building this out further!
Atoms
@osakasaul Thank you for spending the time, and for doing the survey. We really appreciate it.
@osakasaul Thank you for spending the time, and for doing the survey too, we really appreciate it. We’re reviewing submissions in batches. If you can reply with your PH username, I’ll help make sure we locate your survey and get you an update.
@osakasaul Thank you for building with Atoms for several days and for filling out the survey, that really helps. We review submissions in batches, so it can take a bit. If you do not hear back soon, please DM me your signup email or a screenshot of the confirmation and we will check it for you.
MGX (Now Atoms)
@osakasaul Thank you for taking the time, and sorry you have not heard back yet. I will make sure the service team can find it and follow up.
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.
Congrats! 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.
Atoms
@libin_yao
Thank you. That’s exactly the bet: not just “AI helps you code”, but an AI team that can run the full loop from idea to something you can actually ship and monetize.
We’re actively compiling end to end case studies now and we’ll share them publicly soon, including what worked and what broke. If you have a risky idea, drop a one liner here and we’ll suggest a fast MVP scope to validate it.
@libin_yao Thanks so much. We’re working on real end to end case studies now and we’ll share more soon. And risky ideas are honestly a great fit, because the goal is to reduce the cost of testing and learning quickly.
@libin_yao Thank you, really appreciate it. We are aligned on case studies being the proof, and we are working on sharing more real examples. If you try it on a risky idea, I would love to hear what felt most uncertain and whether the agents made those assumptions explicit.
MGX (Now Atoms)
@libin_yao Thanks. Case studies are coming, and I would love to hear what makes an idea “risky” for you so we can help you de risk it with clear assumptions and milestones.