The desktop AI tool for cybersecurity professionals. Built for pentesters, red teamers, and security engineers โ agentic AI that runs on your machine, works with your tools, and executes real security workflows.
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Thunkable
Bubble.io
Android Studio
AppyPie AppMakr
BuildFire
Kodular
Xamarin.Android
RAD Studio
ImageBind
Milvus
Thunkable ImageBindBeginners in app development, educators introducing app creation, small startups looking for rapid prototyping, and non-technical entrepreneurs interested in building mobile applications.
Based on our record, Thunkable should be more popular than ImageBind. It has been mentiond 10 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Best for: Education, prototyping, and MVPs Thunkable uses a drag-and-drop interface to let anyone build native mobile apps, even without prior experience. - Source: dev.to / about 1 year ago
Thunkable is a no-code platform designed specifically for mobile apps. From native iOS to Android, this tool delivers. Even my grandma could probably use thisโฆ if she stopped baking long enough to try. - Source: dev.to / over 1 year ago
Thunkable - Create beautiful and powerful mobile apps without code. - Source: dev.to / almost 2 years ago
OP you don't need to know coding at all to make app. Try something like App Inventor Thunkable. Source: over 3 years ago
What do you think will be the best mobile app builder no code in 2023? a) Adalo b) Flutterflow c) Moxly d) Thunkable e) Glide 2. Why do you think that will be the case? 3. What are the benefits of using a mobile app builder no code? 4. Do you have any experience using a mobile app builder no code? If so, what was your experience like? 5. Do you think more people will start using mobile app builders no... Source: over 3 years ago
With multimodal models such as TwelveLabs, Gemini Embedding, or ImageBind, you no longer need to decompose video into constituent parts. These models process video, audio, and context natively. They generate unified embeddings that capture complete content semantics in one operation. - Source: dev.to / 7 months ago
Another multi modal embedding is ImageBind from Meta, which supports text, images, and audio. - Source: dev.to / 12 months ago
In the approach described above, the main difference between the candidate models is their input/output modality. When can we expect to unify these models into one? The next-generation โAI power-upโ for LLM Agents is a single multimodal model capable of following instructions across any input/output types. Combined with web search and REPL integrations, this would make for a rather โadvanced AIโ, and research in... Source: about 3 years ago
Google and OpenAI are increasingly restrictive on the research they share, but Meta is taking a different approach. This week: Meta released ImageBind, an AI model capable of โlearningโ from six different modalities, including depth, thermal, and inertia. Source: about 3 years ago
Bubble.io - Building tech is slow and expensive. Bubble is the most powerful no-code platform for creating digital products.
Milvus - Vector database built for scalable similarity search Open-source, highly scalable, and blazing fast.
Android Studio - Android development environment based on IntelliJ IDEA
AppyPie AppMakr - AppMakr is a browser-based platform designed to make creating your own iPhone app quick and easy.
BuildFire - BuildFire is the easiest way for small businesses to build a mobile app in a matter of minutes for iOS and Android.
Kodular - Much more than a modern app creator without coding