Atoms
Turn your ideas into products that sell
1.5K followers
Turn your ideas into products that sell
1.5K 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
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.
Atoms
@robert__spencer Great question. We treat it as a staged gate: the agents can recommend “kill” when the core assumptions fail (no clear buyer, no plausible channel, no willingness to pay, or no wedge vs alternatives), but they don’t make irreversible calls on their own. The system will surface why it thinks it’s weak, what signal would change the conclusion, and what the smallest next test should be.
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.
Atoms
@peyton_walsh Totally fair. Humans still own the high leverage judgment calls: positioning, pricing direction, risk tolerance, and what “good enough” means. Agents help by generating options, making trade offs explicit, and keeping the decision trail consistent across research, build, and GTM.
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.
Atoms
@beulah__missie We route by job to be done: long context reasoning and synthesis, fast structured extraction, code generation, and cost sensitive batch work may go to different models. The routing can evolve as models improve; we continuously evaluate quality, latency, and cost across tasks.
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.
Atoms
@emmawalsh Yes, this is a key design point. We aim to be opinionated by default (so you can move fast), but customizable via constraints: stack, infra, target user, pricing model, channel focus, and risk preferences. If you share your constraints, it should adapt rather than force a one size plan.
This looks interesting! What charting library are you using? Does it support more advanced chart types like Sankey, Gantt, radar, etc?
Atoms
@greenflux Good question. It can vary depending on the app and stack you choose, and we’re expanding coverage for more advanced chart types because it's generated by code
Typeless
I like the framing of business outcomes first. How do you decide what "done" means for a project inside Atoms?
Atoms
@krystal_wuu We define “done” by outcomes and checks, not just features: deployable app, auth and payments working, a clear ICP and positioning, and a measurable next step like activation, first users, or first revenue target.
Aha
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
@francis_yanggg Thank you, that’s exactly why we built it. Killing weak ideas early and making assumptions explicit is often higher leverage than shipping UI fast.