u/ConcentrateFar6173

been trying out different IPTV services for months now and honestly most of them follow the exact same boring cycle. works fine for the first week, then suddenly channels stop loading randomly, buffering kicks in right during the good moments and customer support just completely vanishes into thin air

the one that actually stayed usable for me long term was Meezzytv

main thing i really cared about was stream stability because that's where almost every provider completely falls apart. evenings, weekends and live sports nights were usually the absolute worst on the other ones i tested. with Meezzytv the streams stayed smooth even during peak hours and HD quality actually held up consistently instead of randomly dropping every couple of minutes

sports events and PPVs worked surprisingly well too. watched a few big fight nights and football matches without the usual freezing or lag every few seconds that ruins the whole experience

channel list was honestly solid overall. USA, Canada, UK, sports, movies, entertainment, kids channels, pretty much everything i normally flip through. the VOD section was actually updated regularly too and not full of broken or dead content like most other services i tried

tested Meezzytv on Firestick, Android box, Smart TV and phone using TiviMate and IPTV Smarters and the setup was honestly easy on every device

also had to message support once about a small issue and they actually replied properly the same day, which genuinely caught me off guard after dealing with ghost sellers for months

not saying it's flat out perfect or anything, but after bouncing around multiple providers this is the first one where i actually stopped searching for alternatives every single week

anyone else here in the USA or Canada using something decent lately?

Hello everybody,

As we're working on our product (Lessie AI), a B2B outreach platform, we've spent quite a lot of time thinking about outbound marketing and cold emailing.

Building Lessie AI, we've had to solve this exact problem ourselves. We needed to find the right people in B2B marketing, growth, sales and demand generation in order to share with them our solution that solves their exact problem.

Here are some things that we discovered about this process:

1. Lead research is not just about getting a big list

Big lead list may look productive, but it can actually be harmful for your campaign if your leads are not specific enough.

The question is not "can we get 5,000 leads?"

It should be:

• who really has the problem
• who feels the pain right now
• who is in the right role/influential enough to care
• who would actually understand the message you're trying to deliver

Usually small, specific list would be more valuable than big and messy one.

2. Targeting matters more than people tend to say

People may have similar job titles at different companies.

"Founder", "Head of Growth", "Marketing Manager", "Demand Gen Lead" mean very different things depending on the company.

Company's type, size, market, business model, current stage affect a lot whether it makes sense to talk to a particular person or not.

That's why targeting is contextual rather than purely positional.

3. Contact data verification goes deeper than people usually think

Low-quality contact data affects many aspects of outreach quietly.

Bad emails, outdated roles, wrong companies and generic inboxes waste your time and obscure your message.

If your campaign performs worse than expected, it is hard to say whether the problem is the offer, copy, list or data.

That's why quality contact data is important.

4. Personalization requires real context

Many personalization efforts sound artificial due to shallow information.

Good personalization is about understanding why this particular person might be interested.

• What does this person's company do?
• What problems is he or she facing?
• Why this offer is relevant to this person?
• Why now?

Without that context, AI-generated personalization remains artificial.

5. Best cold email system starts upstream

Outreach process usually focuses on visible elements of cold email: subject line, opening line, call to action, follow-up email.

These elements matter.

However, most of the leverage might be in what comes before them:

• better lead research
• sharper targeting
• cleaner contact data
• more relevant context
• and then better outreach

That's why we're building Lessie AI as an outreach workflow, not as contact database.

Our goal is to make communication between the following process steps seamless:

• finding the right leads
• understanding why they are relevant to you
• getting verified contact data for them
• composing a personalized outreach message
• starting the conversation

In reality, these steps are usually divided between many tools and tabs and done manually.

Would like to hear thoughts of people here about this approach.

For those who are doing B2B sales or outbound marketing: where do your campaigns usually break first? Is it offer, list, data, personalization, deliverability or follow-up system?

I wanted to share a workflow I’ve been testing recently for AI-generated music videos using DomoAI Talking Avatar, because I feel like most people are still only using these tools for simple talking head content.

The workflow I’ve been using is:

11Labs Music → DomoAI Image 4.0 → DomoAI Talking Avatar.

First, I generate the music track and vocals with 11Labs Music. After that, I use DomoAI Image 4.0 to create the character visuals and overall aesthetic for the MV. This part is honestly really important, because the final talking avatar quality depends heavily on having a strong character image with clear facial features and a consistent anime or stylized look.

Once the character art is ready, I move everything into DomoAI Talking Avatar. You upload the image, add either the vocal track or dialogue audio, and the system automatically handles the lip sync and facial animation.

What surprised me most is how well this workflow works for anime-style music videos and VTuber content. A lot of talking avatar tools still struggle with stylized characters, but DomoAI keeps the character consistency surprisingly stable, and the mouth sync actually matches singing vocals better than I expected.

I also noticed that tweaking the prompt style slightly changes the emotion and delivery of the avatar, which helps the final MV feel less robotic and more performance-driven.

The biggest advantage for me is speed. You can basically go from AI-generated music → AI-generated character art → finished talking avatar MV without opening traditional editing software for most short-form projects.

It’s obviously not replacing full professional animation yet, but for indie creators, VTubers, or experimental AI music videos, the workflow feels surprisingly practical already.