LightfieldAI-native CRM that builds itself and does work for you
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Enter Pro
The AI-native platform to build and scale your apps
524 followers
The AI-native platform to build and scale your apps
524 followers
Building what runs a business takes more than code. Enter Pro is the AI-native platform that turns an idea into a working product. Plan, build, preview, launch, and scale apps, websites, and custom AI agents in one continuous workspace. Models, databases, authentication, hosting, payments, analytics, and localization are built in—so teams can ship software built for real business, not just prototypes.
How much control do developers retain over the underlying infrastucture when they need custom configurations or deeper integrations?
Enter Pro
@bastienrenard Great question, Bastien. Enter manages hosting and runtime by default, but developers aren’t limited to the UI. Through Enter’s API and workspace API keys, you can operate project database tables and records, policies, secrets, storage, and Edge Functions. You can also import or sync code through GitHub and build custom backend integrations.
Permissions still apply, and the API key is an Enter API credential rather than a raw PostgreSQL login. We don’t expose server or VPC controls inside the hosted environment today. The model is managed infrastructure by default, with code and backend APIs available when developers need deeper control.
I really like the continuous workspace concept. how seamlessly can you move from planning an idea to deploying the finished product?
Enter Pro
@carter_garcia Thanks, Carter! That's the core idea — plan, build, preview, launch all in one continuous workspace. Plan Mode maps out the architecture for your sign-off, then one click ships it to a live URL — database, auth, and hosting included.
Serand
Enter Pro
@rukhsar_amjad Fair challenge — that's the part we care about most. The production stack you'd normally stitch together from separate vendors — database, auth, payments, analytics, custom domains — is available right inside the platform. Proof it holds up long-term: our own CMS, forum run on Enter Pro, where non-engineers ship updates weekly.
Serand
Can teams switch between different AI models depending on the task, or is the model choice handled automatically?
Enter Pro
@anthony_adams_ Both — you're in control! Switch models per task right in the picker (GPT, Claude, Gemini and more), or let Auto choose the best fit. Selections persist across chats, projects, and Agent Builder — one credit balance, no API keys to manage.
GrowMeOrganic
What base models does Enter Pro use?
Enter Pro
@iamanantgupta Not one — we're model-agnostic. AI All brings together frontier models from OpenAI (GPT), Anthropic (Claude), Google (Gemini), DeepSeek, Kimi, GLM and more — pick per task, or let Auto choose. One credit balance, no API keys to manage.
YouWare
Hey Product Hunt 👋 I’m part of the team behind Enter Pro.
I worked mainly on shaping the Agent Builder and discussing the backend architecture—especially how agents connect to knowledge and tools, get deployed and versioned, and evolve beyond one-off chatbot demos into reliable workflows.
The part I’m most excited about is having apps and agents built in the same environment, so AI can become part of the product itself rather than something bolted on afterward.
Huge credit to the engineering team for bringing it all to life. What’s the first recurring workflow you’d want to turn into an agent?
Acti
Having apps and agents in the same product makes sense. AI is more useful when it is part of the workflow, not a separate chat box bolted on later.
Enter Pro
@axelkane Exactly. Apps and agents should work together—not live in separate tools.