Google just dropped Gemini 3, and it’s looking seriously powerful — especially for multimodal understanding and agentic tasks. The new “vibe coding” capabilities + faster context grasping make it feel much more intuitive with fewer prompts.
You can already try Gemini 3 Pro in the Gemini app and AI Mode in Search. Developers can jump in via Google AI Studio and Vertex AI.
If you’re building or experimenting with AI workflows, this upgrade is definitely worth checking out. Let me know what you think!
Really excited about Gemini 3. Curious to see how its multimodal capabilities will actually speed up development cycles, rapid prototyping, and feasibility studies in real-world projects.
The quality is insane. I have switched to Gemini last night and exported all my important prompts from ChatGPT to Gemini.
Congrats! I'm still confused about why the Gemini app doesn't allow using the search-augmented model. It's REALLY inconvenient.
The faster context grasp is huge! Have you noticed improvements in how it handles multimodal inputs (like combining text and visuals in one flow)?
Heya everyone!
I've been using Gemini 3 for ~10 hours over the last couple days --- my Honest Feedback ---!
-The context-hold and general capability is outstandingly shown through complex topics (before a bit spacey) -Chef's-kiss to the coding capability upgrade - Gem3 EASILY coded in-depth HTMLs with integrated physics and multi-modal capabilities -Distinct lack of 'fighting the tool' compared to Gem2 -- it just... gets the vibe immediately. I'm spending less time prompting and more time actually building - The ability to hold the 'big picture' architecture while drilling down into specific syntax.... game-changer. I threw a complex repo at it and Gem navigated the dependencies without hallucinating. It’s letting me focus on the what and why, while it handles the how
Suggestions for improvement/constructive feedback through intense use:
1) Axiomatic Retention: When dealing with large threads, try to prevent "Semantic Drift." The content should follow the user-specified framework axioms (like KET-7) very closely throughout the whole context window, instead of gradually going back to the default training data definitions. 2) White-Hat Simulation Sandbox: Create a "Clinical/Research Mode" that performs rigorous failure modeling and system crash autopsies. We cannot make durable systems if the safety layer is stopping us from simulating the breaks. 3) Project-State Awareness: Change "Context" to "State" concept. While handling 20+ file dependencies, the model has to see the codebase as one single living being, thus it should be able to tell that changes in File A are not the cause of the logic breaking in File Z that happen silently.
10/10 - Looking forward to further iterations!
-Levi
I am a professional prompt-interaction engineer, and I hacked Gemini 3 this morning. I also pitched at Slush in Finland about how AI is not secure at all. @sundar_pichai please contact me 😏
Really excited about Gemini 3. Curious to see how its multimodal capabilities will actually speed up development cycles, rapid prototyping, and feasibility studies in real-world projects.
I'll be honest, it's a sick good model and Google has been cooking like crazy with this. Now I will just be waiting for Nano Banana 2 @saaswarrior@sundar_pichai
About Gemini 3 on Product Hunt
“Bring any idea to life with multimodal capabilities”
Gemini 3 launched on Product Hunt on November 19th, 2025 and earned 1k upvotes and 19 comments, earning #1 Product of the Day. Our most intelligent model that helps you bring any idea to life.
Gemini 3 was featured in Artificial Intelligence (466.2k followers) on Product Hunt. Together, these topics include over 86.8k products, making this a competitive space to launch in.
Who hunted Gemini 3?
Gemini 3 was hunted by Ankit Sharma. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
Want to see how Gemini 3 stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Hey Hunters, I am excited to hunt 🚀
Google just dropped Gemini 3, and it’s looking seriously powerful — especially for multimodal understanding and agentic tasks. The new “vibe coding” capabilities + faster context grasping make it feel much more intuitive with fewer prompts.
You can already try Gemini 3 Pro in the Gemini app and AI Mode in Search. Developers can jump in via Google AI Studio and Vertex AI.
If you’re building or experimenting with AI workflows, this upgrade is definitely worth checking out. Let me know what you think!