Mailshake Reviews

Google Cloud Machine Learning Reviews

Mailshake mentions (5)

• Complete Cold Emailing Guide - eCommerce Version

  When it comes to selecting a client for sending your emails, there are countless options to choose from. We're not affiliated with any specific one, but we've found QuickMail to be effective for maximizing deliverability. While the user interface could be improved, it gets the job done and we haven't found a compelling reason to switch. Other popular alternatives include Instantly, Lemlist, MailShake, and many... Source: over 1 year ago

• Where to find cool react native jobs

  Create an account on mailshake.com > create a simple automated email funnel of 2 emails, one that sends 7 days after the first one. Source: almost 2 years ago

• cold b2b emails

  Lemlist to send emails or Mailshake as another good option. I prefer Lemlist as IMO has a better UI and includes warming-up service. Source: about 2 years ago

• 30 interviews at companies like Microsoft and Stripe in 1 month. Here's how.

  Do outreach and follow ups at scale. If you do this right and follow up well, your reply rates sky rocket. For my own job search, I used an email automation tool from Hunter but Mailshake and other tools work too. Source: over 2 years ago

• My 'under 700ms' SaaS - How I plan to automate the entire process, from finding leads to the sale itself - broken down for you to replicate 😄

  For this, I'm currently using MailShake: https://mailshake.com/. Source: over 2 years ago

Google Cloud Machine Learning mentions (22)

• Text-based language processing enhanced with AI/ML

  Generative AI with the Gemini API via Google AI or GCP Vertex AI. - Source: dev.to / 7 days ago

• 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 / 7 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 / 7 months ago