Visit
Google Cloud Platform

Google Cloud Platform

5· 13 reviews
Since 2014

A suite of cloud computing services by Google

Build with generative AI, deploy apps fast, and analyze data in seconds with Google-grade security.

Launched 201413 reviews
Engineering & DevelopmentWeb hosting servicesCloud Computing Platforms

Reviews for Google Cloud Platform

Hear what real users highlight about this tool.

5
Based on 13 reviews
5
13
4
0
3
0
2
0
1
0
Lokesh Singh
Lokesh Singh5/59d ago

Thanks for providing API services for your platform

Source: Product Hunt
RyanQYao
RyanQYao5/511d ago

Still the best tool for designers, can't live without it

Source: Product Hunt
Nav
Nav5/513d ago

The robust backbone for our entire application. We rely on Google Cloud Run for seamless deployment and hosting, ensuring a fast and reliable experience for users everywhere. It also powers our Text-to-Speech service via Cloud Functions, delivering the crystal-clear audio pronunciation that's critical for language learners. Google Cloud provides the scalable, high-performance infrastructure Aiki is built on.

Source: Product Hunt
ConvertOnline
ConvertOnline5/57d ago

We chose Google Cloud for ConvertOnline because of its unmatched reliability, scalability, and security. Its global infrastructure ensures fast file processing, seamless cloud performance, and robust data protection, making it the ideal platform for our online file conversion service.

Source: Product Hunt
Jason Sung
Jason Sung5/59d ago

Google cloud is more reliable

Source: Product Hunt
Bentzi Rubin
Bentzi Rubin5/514d ago

We use GCP for IP geolocation (via ipify API) and regional fraud detection. However, our primary infrastructure is Supabase (PostgreSQL) + Lovable Cloud, not GCP directly. We chose Supabase over GCP's Cloud SQL because:

  • Row Level Security policies are native, not bolted-on (critical for user data isolation in our sleep tracking dashboard)
  • Supabase Edge Functions are simpler than Cloud Functions + Cloud Run (faster cold starts, instant deployment)
  • Stripe webhook integration is more reliable with Supabase's built-in event handling

If we scaled to 100M+ users, we'd likely migrate to GCP. For now, Supabase's simplicity + performance + pricing = better fit for a hardware+software startup still proving unit economics.

Source: Product Hunt
Asako
Asako5/515d ago

GCP provides a stable, scalable infrastructure with powerful AI and deployment tools. Its integration with Cloud Run and Build pipelines simplifies backend deployment compared to AWS or Azure.

Source: Product Hunt
Vincent Betz
Vincent Betz5/517d ago

A suite of cloud computing services by Google

We host everything on Google Cloud, using Cloud Run for our Next.js app, as well as for our microservices and the database. Cloud Run makes it relatively easy (compared to others) to scale and maintain without complex infrastructure setup. We chose Google Cloud over competitors because it offers a cleaner, more integrated experience. We are also part of their Google Cloud for Startups program, where you get quite a lot of help and resources, which is pretty cool of them I think.

Source: Product Hunt
Secured API
Secured API5/518d ago

GCS made file storage effortless. While S3 has complex pricing and configuration, GCS offered straightforward pricing and instant global availability. Our team profile images are served blazingly fast from edge locations worldwide, and the Node SDK made integration a breeze.

Source: Product Hunt
Nick Harty
Nick Harty5/522d ago

Our stack is clean and fast: real-time sync, Next.js for structure, Tailwind for beautiful UI. Designed to feel invisible so filmmakers can focus on the story.

Source: Product Hunt
Gerardo Magdaleno
Gerardo Magdaleno5/51mo ago

We decided to use GCP because it helps starter projects like Feedsights with free tiers and we use Google AI Studio with Gemini to power-up our feedback forms.

Source: Product Hunt
Alejandro Faicán
Alejandro Faicán5/51mo ago

To build MiLink, I used Google Cloud Platform (GCP). It allowed me to manage the infrastructure reliably and at scale, with centralized databases, storage, and servers. The experience was solid: GCP made development smoother and let me focus on building the features that professionals and businesses really need.

Source: Product Hunt
Ameet Shedge
Ameet Shedge5/51mo ago

Google Cloud Platform provided the backbone for taking UXBoost.ai from prototypes to a reliable, scalable service. With GCP, I could deploy crawlers, run large-scale UX audits, and store structured analysis results without worrying about infrastructure bottlenecks. Tools like Cloud Run and Compute Engine let me spin up and scale microservices quickly, while Firestore and Cloud Storage handled data persistence and report delivery seamlessly.

GCP’s integrations with AI and security services also gave me confidence to run experiments safely while keeping performance and cost efficiency in balance. Combined with monitoring and logging tools, it helped me move fast without losing visibility into how the system behaved under real-world usage.

In short, GCP turned UXBoost.ai into a platform that’s not just fast to build, but dependable and ready to scale with partners and customers.

Source: Product Hunt