Frontegg Reviews

Google Cloud Machine Learning Reviews

Frontegg mentions (5)

• Embracing AI SEO: A Game-Changing Trend in Content Production"

  Frontegg- Frontegg focuses on certain components like authentication, SSO, authentication, etc. A quick Moz domain analysis check showed me that they rank #1 for keywords like user management, microservices authentication, and auth0. Frontegg is currently doing about $2.5 million in revenue (according to Latka SaaS database). Source: 8 months ago

• Ask HN: Shopify for SaaS?

  Have a look at Frontegg. Has everything you're looking for. https://frontegg.com. - Source: Hacker News / about 1 year ago

• Multi-Tenant Authentication platform?

  I'm in a similar spot, also with an Auth0 based setup that feels clunky at times. I recently became aware of https://frontegg.com and, while I haven't evaluated it, it looks like they've designed it to solve these pain points. Looks like you can actually embed some of their pages directly in your UI so you don't have to build that yourself. (And just to be clear, I have no association with Frontegg). Source: about 1 year ago

• Ask HN: Any SaaS to easily monetize my sideproject?

  I think this is what FrontEgg does - https://frontegg.com/. - Source: Hacker News / over 1 year ago

• Bugs‌ ‌found‌ ‌in‌ Frontegg. Bug‌ ‌Crawl‌

  Frontegg is a SaaS-as-a-Service platform offering companies a range of common SaaS capabilities easily integratable into any environment. Frontegg targets both early-stage startups, midsize companies aiming to grow, as well as fully-fledged enterprises. Its solutions comprise three major verticals, such as Security, Connectivity, and Engagement. Source: about 3 years ago

Google Cloud Machine Learning mentions (21)

• Gemini 1.5 outshines GPT-4-Turbo-128K on long code prompts, HVM author

  2. Google Cloud Vertex AI: https://cloud.google.com/vertex-ai. Policy: https://cloud.google.com/vertex-ai/docs/generative-ai/data-governance#foundation_model_training. - Source: Hacker News / 4 months ago

• Let's build your first ML app in Google Cloud Run

  Google Cloud Platform (GCP) provides a very befitting Machine Learning solution called Vertex Ai that handles Google Cloud's unified platform for building, deploying, and managing machine learning (ML) models. Our goal is to build a simple Machine Learning application that optimizes all that GCP provides plus an implementation of continuous integration and continuous development (CI/CD). - Source: dev.to / 6 months ago

• Google Gemini Pro API Available Through AI Studio

  Cross posting some links from another post that HNers found helpful - https://cloud.google.com/vertex-ai (marketing page) - https://cloud.google.com/vertex-ai/docs (docs entry point) - https://console.cloud.google.com/vertex-ai (cloud console) - https://console.cloud.google.com/vertex-ai/model-garden (all the models) - https://console.cloud.google.com/vertex-ai/generative (studio / playground) VertexAI is the... - Source: Hacker News / 6 months ago

• Google Imagen 2

  For the peer comments - https://cloud.google.com/vertex-ai (main page) - https://cloud.google.com/vertex-ai/docs/start/introduction-unified-platform (docs entry point) - https://console.cloud.google.com/vertex-ai (cloud console). - Source: Hacker News / 6 months ago

• Introducing Gemini: our largest and most capable AI model

  Starting on December 13, developers and enterprise customers can access Gemini Pro via the Gemini API in Google AI Studio or Google Cloud Vertex AI. Source: 7 months ago