“Google Cloud’s developer-friendly infrastructure gives Traycer a rock-solid foundation. Cloud Run keeps our stateless server stack scalable, fast, and easy to manage.”
HostingMaker says so +1 · source ↗
Google Cloud Platform
Google's cloud platform, offering compute (Compute Engine, Cloud Run, GKE), managed databases, BigQuery, storage and AI services, billed per use.
Where it fits
Who uses it
184 makers' products, each linked to the source that shows it.
“Enterprise-grade cloud infrastructure on asia-south1 with 99.99% target uptime SLA, hybrid compute architecture, and cost-efficient scaling.”
HostingMaker says so +1 · source ↗“GCP gives us scalable infra with minimal friction. Their tooling around AI workloads has improved significantly in the past year. Easy integration with AI pipelines and generous scaling.”
HostingMaker says so +1 · source ↗“ClawMetry Cloud uses Cloud SQL to store encrypted agent snapshots for thousands of users, with Cloud Run handling the compute layer. GCP gives us the reliability and scalability to serve users globally with low latency - and the tight integration between Cloud SQL, Cloud Run, and GCP's security model means we can guarantee data isolation per user without building complex infra ourselves.”
HostingMaker says so +1 · source ↗“We leverage a multi-cloud strategy for reliability, scalability, and high availability.”
HostingMaker says so · source ↗“The engine behind our agents, emulators, devices, and pipelines. Scales as fast as our customers ship.”
HostingMaker says so · source ↗“One of the platform that helps us serve efficiently”
HostingMaker says so · source ↗“The quiet powerhouse behind Jinna’s intelligence.”
HostingMaker says so · source ↗“Thanks to the amazing team at Google Cloud for supporting us and providing us with the necessary resources to train our model!”
HostingMaker says so · source ↗“Secure, reliable hosting infrastructure ensuring high availability and performance.”
HostingMaker says so · source ↗“We're using GCP for quick and seamless signup/login and for our clients' Postmaster Tools data integrated into our B2B email deliverability SaaS application.”
HostingMaker says so · source ↗“We use Google Cloud Platform and love how thoughtfully their services are designed. The pieces fit together naturally, letting us build powerful software systems. Whether going serverless, containerized, or hybrid - GCP makes our lives easier. Solid engineering! 🚀”
HostingMaker says so · source ↗“Google Cloud has been the default choice when it comes to application hosting.”
HostingMaker says so · source ↗“Our foundation to success. We love the GCP team.”
HostingMaker says so · source ↗“GCP is our go-to cloud provider. Easy to train and host custom models, great infra with Kubernetes, fast responses from the support team, and easy to navigate within the platform. We worked with AWS before, but GCP takes the win for us.”
HostingMaker says so · source ↗“We use Google Cloud Run, Spanner and Vertex AI”
HostingMaker says so · source ↗“GCP has been solid for our AI infra stack, especially around inference and data pipelines. The tooling is consistent, and the managed services scale with less hand-holding than most”
HostingMaker says so · source ↗“Gave us $2,000 USD in AI Startup Credits. Was a Godsend 🙏🏼”
HostingMaker says so · source ↗“Its easy to use ecosystem led us to deploy everything in one dashboard.”
HostingMaker says so · source ↗“We've been fans of Google's cloud infrastructure for years, and it's just made it easy and available for us and feels like home every time.”
HostingMaker says so · source ↗“We use Google Search Console data to power our dashboard, we couldn't have built SEO Gets without GCP!”
HostingMaker says so · source ↗“Containerized and scalable deployment with Cloud Run”
HostingMaker says so · source ↗“Well made cli and general experience to bring productivity and use to our users with permissions.”
HostingMaker says so · source ↗What makers say
116 makers on why they use Google Cloud Platform, in their own words on Product Hunt.
GCP is our AI infrastructure backbone. We didn't choose it just for scale – though it handles that too. Being part of the Google for Startups program gives us personal extended access to the tools and support that actually matter at our stage. For a B2B product like ours, data containment and tenant isolation are non-negotiable. Our customers trust us with sensitive GTM data, and GCP's security model gives us the architecture to honour that promise. Our CASA 2 certification backs that up – our security posture has been independently validated, not self-declared. On top of that, the native AI/ML tooling – Vector DB, inference, RAG – means we're building on primitives that are genuinely production-ready, not bolted-on afterthoughts.
Pebbles AiSep 2026 ↗GCP is our AI infrastructure backbone. We didn't choose it just for scale – though it handles that too. Being part of the Google for Startups program gives us personal extended access to the tools and support that actually matter at our stage. For a B2B product like ours, data containment and tenant isolation are non-negotiable. Our customers trust us with sensitive GTM data, and GCP's security model gives us the architecture to honour that promise. Our CASA 2 certification backs that up – our security posture has been independently validated, not self-declared. On top of that, the native AI/ML tooling – Vector DB, inference, RAG – means we're building on primitives that are genuinely production-ready, not bolted-on afterthoughts.
Pebbles AiJul 2026 ↗Claro runs on Google Cloud. BigQuery is our analytical backbone, we store and query millions of rows of supplier data, enrichment history, and confidence metadata there. On top of that, the full data science stack (Vertex AI, notebooks, model training environments) is where our team runs experiments, benchmarks new validation approaches, and iterates on scoring logic. GCP gives us the throughput for parallel LLM calls (multi-model consensus), the storage for customer knowledge bases, and the flexibility to orchestrate long-running enrichment jobs across thousands of rows.
e run Pixlie’s web on Firebase Hosting and batch-generate launch creatives with Veo on Google’s stack. Firebase gave us fast global deploy for pixlys.com without babysitting CDN config, and GCP’s video/ML APIs let us produce Product Hunt b-roll at studio quality from prompts—not stock footage. Heroku stayed great for our API worker, but for frontend + generative media pipeline GCP was the one place that scaled with us.
Google Cloud Platform helped us build and operate GateOS with dependable cloud services and modern developer tooling. We chose GCP for its strong data, AI, and infrastructure capabilities, which enabled us to move quickly while maintaining reliability and scalability. As GateOS continues to grow, GCP provides the foundation needed to support thousands of learners on a unified learning platform.
Loved and watch-outs
Themes that recur in makers' words and Hacker News comments, each linked to what it summarises, with how Product Hunt tags its reviews.
Alternatives to Google Cloud Platform
All alternatives by situation →On Product Hunt, people weigh it against: Microsoft Azure, Cloudflare, Render, DigitalOcean, Zeabur, Firebase, Heroku.
Questions makers ask about Google Cloud Platform
Is Google Cloud Platform free?
Yes — there is a free tier a small product can run on; paid use starts at Pay as you go. source ↗
Is Google Cloud Platform open source or self-hostable?
Not open source, and hosted only.
Can AI coding agents work with Google Cloud Platform?
No llms.txt, official MCP server or CLI found yet.
Who uses Google Cloud Platform?
184 makers' products we track, each with a source. source ↗