Reliable mass email delivery with API integration
Metigan is an intuitive platform for bulk email sending, offering scheduled emails, domain personalization, and templates. With advanced analytics and API integration, it’s the perfect solution for businesses looking for simplicity, control, and results.
We're excited to officially launch Metigan! 🎉 Our platform is designed to simplify bulk email sending, offering powerful features like scheduled emails, domain personalization, customizable templates, and detailed analytics. We can't wait to hear your thoughts and see how Metigan helps streamline your email marketing efforts. Let’s get the conversation started! 🚀
Congrats on the launch, Metigan team! 🎉 Love the focus on simplicity and dashboard. Question: how do you handle deliverability optimization? Can you use personalized domains too?
Congrats on the launch of Metigan! Bulk email tools can get overwhelming fast, and it’s refreshing to see a platform focused on simplicity and control. Features like domain personalization and API integration show you’re thinking beyond the basics—this feels like a solid balance of power and usability for growth-focused teams. What’s your vision for standing out in a space dominated by giants like Mailchimp or SendGrid? Any plans to integrate AI-driven insights or deliverability optimization dow
Nice looking platform! Other than price, why would I choose you over SendGrid (Twilio)? I would be concerned about deliverability, sender scores from using shared IPs, etc. How do you protect your legit senders from others who may be using the platform for spam? Are you using your own infrastructure to send the emails or are you using SendGrid, Amazon SES, or other? BTW, all the links in your site footer go nowhere - and when I tried to subscribe to your developer newsletter via form in the foot
Excited for better email deliverability! 👍
A measure of community engagement at launch. Higher means more people noticed and interacted with the product. It's a traction signal, not a quality rating.
Discussion threads divided by interest score. Above 0.30 is strong. Below 0.15 suggests the product got clicks but not conversation.
Categories come from the product's launch tags. Most products appear in 2-3 categories. The primary category is listed first.
The scores reflect launch-period engagement. Historical data is preserved and doesn't change retroactively. The build date at the bottom shows when the index was last refreshed.