Onspace is a no-code platform that empowers users to build fully functional, AI-powered native mobile applications rapidly, without requiring any coding or API key management.
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Hi, welcome to another video. So, we
have all seen the explosion of AI apps
recently. Everyone wants to build the
next big AI rapper or a cool tool that
uses LLMs to do something useful. But
here is the problem. Even if you know
how to use no code tools, building an
actual AI app is usually a nightmare.
You have to go to OpenAI, get an API
key, deal with rate limits, set up a
backend server to hide that key so it
doesn't get stolen, and then figure out
how to connect it all to your front end.
It is a lot of friction. But today, I
have something that aims to completely
solve this. And this one is called Onspace.
Onspace.
OnSpace is an AI powered noode platform,
but it has a very specific superpower.
It allows you to build fully functional
native mobile apps that have AI
capabilities built right in. And the
best part, you do not need to write a
single line of code and you do not need
your own API key. OnSpace handles the AI
models, the back end, the database, and
even the deployment to the app stores.
It basically promises to take you from a
concept to a live AI powered SAS product
in just 24 hours.
Now, let me show you to it in action and
how you can use it to build your own AI
powered application.
To start, just head over to the OnSpace
site and sign up for an account.
Once you are in, you will see the main
dashboard. It is super clean. You have
your chat interface right in the middle
where you can describe your app idea.
Now, for this demo, we are going to
build something that actually uses intelligence.
intelligence.
I want to build an AI travel assistant
called Wander AI. I want users to be
able to type in a city and a mood. and
the AI should generate a full 3-day
itinerary for them. But before I type
the functionality, I need to make sure
this looks professional. The client
feedback on these tools is usually that
the UI looks basic. So I am going to use
a very specific prompt to ensure
highquality design.
I'll type, "You are a seasoned UI UX
designer with 10 years of experience in
Silicon Valley, having contributed to
the design of multiple unicorn startups.
Create a personal AI travel assistant
app called Wander AI. The app should
allow users to enter a destination and a
travel style like relaxing, adventure,
or foodie.
When they hit a button, it should use AI
to generate a detailed 3-day itinerary.
I also want a saved trips tab where
users can store their favorite AI
generated plans.
I can also import a Figma design if I
have one. But with that specific prompt,
the AI usually does a great job on its
own. I will click generate and OnSpace
will start building the project structure.
structure.
Now, while it is building, let me
explain why this is cool. In a
traditional coding environment, to make
this work, I would need to install the
OpenAI SDK, [clears throat] create an
API route in Nex.js or Python, and
handle the JSON parsing. Here, OnSpace
is generating the React Native
components and the logic simultaneously.
After a minute or so, we have our app on
the right. You can see the preview. And
because we use that Silicon Valley
designer prompt, the UI looks
exceptionally polished. It has nice
rounded corners, soft shadows, and a
very clean, modern typography hierarchy.
It doesn't look like a template. It
looks like a real startup product.
Now, let's test the AI capability.
This is the real test. I click into the
input field and type Tokyo and select
foodie as the style. I click the
generate itinerary button. Now, usually
you might see a blank screen or an error
here if you haven't set up your keys.
But because OnSpace manages the model
connection, I don't have to do anything.
I might see a loading spinner for a
second. If there is a slight layout
glitch, I can just turn on the runtime
scanner, click fix all, and it patches
the UI code instantly, and boom, the app
returns a detailed textbased itinerary.
Day one, sushi in Sukiji market. It is
actually generating fresh content using
an LLM on the back end. I didn't have to
configure a single API parameter. But an
app isn't useful if it doesn't remember anything.
anything.
So, I'm going to enable spaces.
This is their built-in backend solution.
I want to save these itineraries.
So, I go back to the chat and type.
Connect the save trip button to the
spaces database. When a user likes an
itinerary, save the destination and the
AI generated text to their personal list.
list.
Onspace processes this. It automatically
spins up the database table. It creates
the columns for destination and
itinerary text.
It writes the logic to push that data
from the front end to the back end. I
test it again. I generate a trip to
Paris. I hit save. I navigate to the
save trips tab on the bottom bar. And
there it is. The data is persistent.
This is a full stack application now,
not just a front-end wrapper. Now, let's
take it a step further. A real app needs
users. I type into the chat. Create a
functional signup and login feature.
Users should only be able to see their
own saved trips. Use email and password authentication.
authentication.
In a traditional workflow, adding secure
authentication and rowle security
policies is where most people quit. It
is hard.
Onspace updates the app. Now when I load
it, I get a beautiful login screen. It
matches the Silicon Valley design
aesthetic we established earlier. I
enter a demo email. It sends a
verification code. I enter the code and
I am logged in. Now the save trips are
linked specifically to my account. This
allows you to actually monetize the app
later because you have user accounts.
Let's do one final design tweak. I want
it to feel more immersive. I type update
the background of the home screen to
have a subtle animated gradient that
feels like a sunset.
Make the generated itinerary text appear
inside a glass morphism card. It
regenerates the CSS and the styling
components. A few seconds later, the app
refreshes. The background is now this
premium looking gradient and the text
cards have that blurry modern glass
effect. It looks really high-end. Now, I
also want to make the app even better.
So, I'm going to ask it to add a new
feature that allow users to add image
for each destination and add a nice
white frame to the user's uploaded photo
similar to a Polaroid style and writing
something on the frame such as Nagasaki,
Japan 2025.
also allow for a photo translation
features which means taking the user's
uploaded photo and generating a
multilingual translation.
As soon as I send that you'll see that
it starts working on it. In a bit it
gets done and the feature is now implemented.
implemented.
It even supports uploading images and
doing really complex manipulation with
them as well which is awesome if you ask
me. Once you are happy with your AI app,
the final step is getting it to the world.
world.
Onspace makes deployment incredibly
easy. You can click the publish button.
If you are a developer who wants to
inspect the code, you can download the
full source code. It's clean React
native code. You can also get the APK
file immediately to install it on your
Android phone. But the real value is for
the app stores. It generates the AAB
file for the Google Play Store and
handles the build process for the Apple
App Store. It removes that massive
barrier of dealing with Xcode and
Android Studio builds.
So that is onspace.
It is genuinely impressive because it
bridges the gap between no code and AI engineering.
engineering.
Usually you have to pick one. Either you
build a pretty website with no brains or
you write complex code to use AI.
OnSpace gives you both. You get the
polished unicorn startup UI and you get
the integrated AI models without ever
seeing an API key or a server config file.
file.
Whether you are a founder trying to
validate an AIAS idea or just someone
who wants to build cool tools for
yourself, this is probably the fastest
way to go from zero to a working AI
mobile app. I highly recommend you go
ahead and give this a try. It is free to
start and if you use the link in the
description, you might get some extra
credits to play with to build your first
AI project.
Overall, it's pretty cool. Anyway, share
your thoughts below and subscribe to the
channel. [music] You can also donate via
super thanks option or join the channel
as well and get some perks. I'll see you
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