Run market and competitor research with multi agent Deep Research in Atoms. Get sources collected, claims checked, and insights summarized into a clear brief your team can act on immediately.
Run your first deep research in minutes.
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FeatureHighlights
Live Rendering
Instant updates with images, branch support, undo at any step and one click deploy
Elegant Design
Built‑in templates and guidelines for refined interfaces
Multi‑Agent Workflow
Agents debate and refine plans before generating reliable code
Supabase Backend
Natural language to schemas and APIs without manual setup
Design
Select elements, describe changes and apply precise updates
Loved by thousands of product creators
Pratham@Prathkum
Atoms not only thinks, but it assigns you a whole AI team of product manager, architecture, engineer, etc based on your prompt.
Nerdy Kings@NerdyKings
Atoms + Supabase: Build a Full-Stack App in 11 Click: Atoms ne se contente pas de générer un peu de code ou une interface, il va appliquer une vraie logique de planification et hiérarchique.
Ai Finder@AiFinder21
Whether you're a startup founder, developer, student, or creative, Atoms gives you access to a powerful team of multi-agent AIs — developers, designers, analysts — all working together in real time to bring your ideas to life.
ByteMonk@ByteMonk
I Built My Personal Finance App with One Prompt: From login to pagination, transactions, budgets, and reports — everything was generated and iterated by agents, with zero boilerplate coding from me.
AI Minds@AIMinds71
Build software with Atoms – the AI agent that thinks, plans, and codes like a team of expert developers. Whether you're a solo founder, a startup, or a full-stack dev, Atoms turns your ideas into real, working products fast.
Kalli - All about AI (Artificial Intelligence)@ai.mentors
I built an AI app in 10 minutes: Hier arbeiten die KI-Agenten wirklich Schritt für Schritt für dich alles ab. Das ist absolut faszinierend.
Kingy AI@kingy-ai
We’ll walk through how Atoms handles everything from idea → spec → code → launch, and why this changes how creators and developers build apps, a YouTube content tool: title, thumbnail text, and description generator.
Venkatesh Saragadam@Venkatesh Saragadam
Best For: Indie developers who want fast MVPs; Solo founders building products quickl; Creators looking for streamlined, intelligent tooling
The AI Colony@TheAIColony
We just built an entire marketing website while sitting on the couch. Our designer friend asked who we hired. When we said “no one”, they didn’t believe us. Took 62 minutes. Why struggle alone when you can have an entire AI team working for you?
How to build
1
Share your markets and competitors, constraints, and what decision you want to make so the agents know what to optimize for.
2
Atoms coordinates multiple agents to read, compare, and cluster information instead of just listing links.
3
Walk through the structured output: key findings, competitor views, risks, and open questions you still need to test.
4
Tighten the scope, add new constraints, or zoom into one angle, then re run agents for a sharper pass.
You get structured summaries, tables, and risk lists focused on your markets and competitors. It is meant to support decisions, not just generate long reports.
Agents draw on model knowledge and external sources available through Atoms. You can also point them at your own notes or links.
Most runs finish in minutes. You can then iterate with tighter prompts instead of waiting days for a static report.
No. It is a fast way to map the landscape and spot blind spots. You should still validate key assumptions with real people.
Any time you are about to commit serious time or money, such as launching, pivoting, or entering a new segment, rerun a focused Deep Research pass.
Make better bets with AI powered research
Use Atoms as your AI market research agent to replace scattered notes and endless tabs with one clear research workspace. Let agents do the reading so you can focus on choosing which markets and competitors are worth your time.
AI Market Research Agent for New Markets
Run market and competitor research with multi agent Deep Research in Atoms. Get sources collected, claims checked, and insights summarized into a clear brief your team can act on immediately.
Key Takeaways
Multi source research without the busywork
Atoms coordinates multiple agents to scan sources, group findings, and surface patterns around your markets and competitors.
Structured, decision ready output
Get bullet summaries, tables, and checklists instead of raw link dumps so you can act instead of rewriting notes.
Risks and blind spots called out
See the assumptions you are making, where data is thin, and what you should validate before building or investing.
Reusable research workspaces
Save prompts and structures so you can re run research as markets, pricing, or competitors change.
How to Get Started
Share your: Share your markets and competitors, constraints, and what decision you want to make so the agents know what to optimize for.
Atoms coordinates: Atoms coordinates multiple agents to read, compare, and cluster information instead of just listing links.
Walk through: Walk through the structured output: key findings, competitor views, risks, and open questions you still need to test.
Tighten the: Tighten the scope, add new constraints, or zoom into one angle, then re run agents for a sharper pass.
Key Features
Multi source research without the busywork
Atoms coordinates multiple agents to scan sources, group findings, and surface patterns around your markets and competitors.
Structured, decision ready output
Get bullet summaries, tables, and checklists instead of raw link dumps so you can act instead of rewriting notes.
Risks and blind spots called out
See the assumptions you are making, where data is thin, and what you should validate before building or investing.
Reusable research workspaces
Save prompts and structures so you can re run research as markets, pricing, or competitors change.
Frequently Asked Questions
What does an AI market research agent actually deliver?
You get structured summaries, tables, and risk lists focused on your markets and competitors. It is meant to support decisions, not just generate long reports.
Where does the research information come from?
Agents draw on model knowledge and external sources available through Atoms. You can also point them at your own notes or links.
How long does a typical research run take?
Most runs finish in minutes. You can then iterate with tighter prompts instead of waiting days for a static report.
Can this replace talking to real customers?
No. It is a fast way to map the landscape and spot blind spots. You should still validate key assumptions with real people.
How often should I rerun research on a space?
Any time you are about to commit serious time or money, such as launching, pivoting, or entering a new segment, rerun a focused Deep Research pass.