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Mailpool is the infrastructure layer for cold emailโdesigned to automate domain and inbox setup while maximizing deliverability at scale. It empowers outbound teams, sales agencies, and growth marketers to run high-performing email campaigns without the technical hassle.
With Mailpool, you can bulk-purchase domains, spin up inboxes across Google Workspace, Microsoft 365 Outlook, or custom SMTP providers, and automatically configure critical records like SPF, DKIM, and DMARC. This ensures your emails land in inboxesโnot spam foldersโright from day one.
The platform connects seamlessly to any outreach tool via SMTP and IMAP or through native integrations, giving you full flexibility. Whether you're managing 10 inboxes or 1,000, Mailpool makes it easy with bulk creation tools, AI-powered domain recommendations, team management, and real-time deliverability tracking.
Built for scale, Mailpool combines reliability, affordability, and automation into one streamlined solution. Pricing starts at just $3 per inbox per month, making it ideal for outbound teams who need robust, ready-to-use infrastructure without breaking the bankโor dealing with complicated setup.
Hal9
MailpoolMailpool's answer:
Mailpool stands out by offering fully automated cold email infrastructure with premium deliverability from day one. Unlike traditional setups that require manual domain configuration and complex technical steps, Mailpool handles everythingโbulk domain purchasing, inbox creation (Google, Outlook, SMTP), and deliverability optimizationโso teams can launch and scale outreach instantly without touching DNS records or worrying about spam folders.
Based on our record, Hal9 seems to be more popular. It has been mentiond 6 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
At https://hal9.com, we built components for data science com native JavaScript to avoid the waiting times and download overhead if Pyodide. We found out the best tools for doing data science in the browser are a combination of Arquero and D3 and TensorFlow.js. At least for now. We wrote our findings of this and many other libraries here: https://news.hal9.com/posts/data-science-with-javascript. - Source: Hacker News / about 4 years ago
Https://hal9.com helps data scientists build faster web applications. It uses WebGL and WebAssembly to process larger datasets, perform inference in the browser with TensorFlow.js, and enables running Python code with Pyodide. - Source: Hacker News / about 4 years ago
If you want to build a web application on top of your ML project, give https://hal9.com a shot. We designed Hal9 with ease of use for deployment and maximum compatibility with web technologies that enable you to build ML apps with React, Vue, etc. We launched a couple months ago but could use some early feedback and users. Thank you! - Source: Hacker News / over 4 years ago
You can find more about this project at https://hal9.com โ We allow you to edit any block with JavaScript and to export the analysis as as embeddable HTML. You can also use Python or NodeJS if you need more advanced functionality. Source: over 4 years ago
We are working in https://hal9.com which is language agnostic and allows you to compose different programming languages; however, we are focused at the moment at 1D-graphs but have plans to support 2D-graphs in the coming weeks. If you want a demo or just time to chat, I'm available at javier at hal9.ai. - Source: Hacker News / over 4 years ago
Happycapy - The agent-native computer, for the rest of us
InboxKit - Everything you need to land in primary - Infrastructure built for sales teams to send cold emails at scale with Google and Microsoft 365 mailbox licenses.
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Zapmail - Collaborative communication platform built for teams
