Warmbox.ai Reviews

1. Larapi_

   about 3 years ago
   Best warm-up tool

   Using Warmbox since few months and work like a charm! Got no email landing in spam now, recommend at 100%

   Thanks to the team 🎉

   👍 Pros:    Efficient|Simple but powerful|Affordable price
2. Bill

   | Head of Sales at Leadgen | about 3 years ago
   #1 Email warm-up tool

   The best tool around after trying most of email warm-up software!

Weaviate Reviews

Warmbox.ai mentions (4)

• 51% of emails are landing in Spam and never reach your leads!

  I'm really happy to announce to you that I'm launching a new product around email deliverability: Warmbox.ai, one of the most advanced email warm-up tool that helps you to never land in spam. On ProductHunt, today! Source: about 3 years ago

• I created an email checker tool in 2 weeks (Mailook) to help people to fix their email deliverability and prepare the launch of my main product on PH: Warmbox (we are live today! 😻)

  By the way, I'm really happy to announce to you that we're launching a new product around email deliverability: Warmbox.ai, the most advanced email warm-up tool that helps you to never land in spam. On ProductHunt, today! It integrates natively the Mailook feature for, so you can check your deliverability for free inside it! Source: about 3 years ago

• Warm-up your inbox and never land in spam anymore - We launched Warmbox on PH 😻

  Hello guys! 😃 We are launching on PH today Warmbox.ai to help anyone to warm-up your inbox and never land in spam anymore! Source: about 3 years ago

• Best email automation software

  Interested in warmbox.ai bro. Did you try its alternatives? Mailwarm or mailreach? Source: over 3 years ago

Weaviate mentions (28)

• How to choose the right type of database

  Weaviate: An open-source, cloud-native vector database built for scalable and fast vector searches. It's particularly effective for semantic search applications, combining full-text search with vector search for AI-powered insights. - Source: dev.to / 4 months ago

• 7 Vector Databases Every Developer Should Know!

  Weaviate is an open-source vector search engine with out-of-the-box support for vectorization, classification, and semantic search. It is designed to make vector search accessible and scalable, supporting use cases such as semantic text search, automatic classification, and more. - Source: dev.to / 5 months ago

• Qdrant, the Vector Search Database, raised $28M in a Series A round

  Congrats to them! What have your experiences with vector databases been? I've been using https://weaviate.io/ which works great, but just for little tech demos, so I'm not really sure how to compare one versus another or even what to look for really. - Source: Hacker News / 5 months ago

• How Modern SQL Databases Are Changing Web Development - #4 Into the AI Era

  A RAG implementation's quality and performance highly depend on the similarity-based search of embeddings. The challenge arises from the fact that embeddings are usually high-dimensional vectors, and the knowledge base may have many documents. It's not surprising that the popularity of LLM catalyzed the development of specialized vector databases like Pinecone and Weaviate. However, SQL databases are also evolving... - Source: dev.to / 6 months ago

• Make Notion search great again: Vector Database

  To find semantically similar texts we need to calculate the distance between vectors. While we have just a few short texts we can brute-force it: calculate the distance between our query and each text embedding one by one and see which one is the closest. When we deal with thousands or even millions of entries in our database, however, we need a more efficient way of comparing vectors. Just like for any other way... - Source: dev.to / 7 months ago