u/Otherwise-End8347

I've been growing an AI newsletter for the past few weeks, and while I'm enjoying the process, growth has been slower than I expected.

Right now, I'm focusing on organic methods:

• Posting on LinkedIn
• Posting on X
• Sharing valuable content
• Engaging in communities
• SEO

I'm still only around 30 subscribers, which has me wondering:

Is it too early to think about paid ads?

For those who've grown a newsletter:

• Did you ever run ads?
• If yes, what platform worked best?
• At what subscriber count did you start?
• Or would you recommend sticking with organic growth until I reach a certain milestone?

I'm not looking for a shortcut—I just want to understand what has actually worked for people who've built newsletters.

I'd really appreciate hearing your experiences.

Lately I've realized that the hardest part about AI isn't learning it.

It's keeping up with it.

Every day there's a new model, a new open-source project, another GitHub repository, or an AI tool that everyone says you should try.

I used to bookmark everything, thinking I'd come back to it later.

I almost never did.

So I changed my approach.

Instead of trying to consume everything, I started curating only the things I genuinely found useful. It helped me focus a lot more and stop chasing every new release.

Eventually, that became AI Epoch, a small weekly newsletter where I share practical AI tools, GitHub repositories, open-source projects, AI agents, and workflows that I think are actually worth your time.

It's still very early, and I'm more interested in making it useful than growing it as fast as possible.

One question for everyone here:

What makes you stay subscribed to an AI newsletter? What type of content keeps you opening every issue?

A few weeks ago I started AI Epoch, a free newsletter focused on practical AI.

My goal isn't to chase every AI headline.

I want to help developers, founders, and AI enthusiasts discover tools, GitHub repositories, and workflows that are genuinely useful.

I'm documenting the journey as I grow, and I'd really appreciate feedback from this community.

What's one thing you wish AI newsletters did better?

Hi everyone,

I recently launched an AI newsletter called AI Epoch, where I share AI tools, hidden GitHub repositories, AI agents, open-source projects, and practical AI resources.

At the moment, I have around 30 subscribers, so I'm in the early stages of growing it.

I've started posting on LinkedIn because my target audience is developers, founders, and AI enthusiasts. My long-term goal is to build a valuable publication and eventually attract sponsors.

I'd love to learn from people who've successfully grown a newsletter through LinkedIn.

Some questions I have:

• What type of LinkedIn posts bring the most newsletter subscribers?
• How often should I post?
• Is it better to publish educational content, personal stories, or opinion posts?
• At what subscriber count did sponsors start reaching out to you?
• Any mistakes you wish you'd avoided when starting?

I'd really appreciate any advice or experiences you can share. Thanks!

I write a AI newsletter on Beehiiv called AI Epoch. Currently at 27 subs. I have come across many posts where they say that they used Reddit to gain their subscribers. If so, what is the process?

Thanks in advance!

I started an AI newsletter called The AI Epoch. Right now I have 27 subscribers, and I'm trying to figure out the best way to reach my first 100.

The newsletter focuses on:

• AI tools
• Open-source GitHub repositories
• AI agents and automation
• Practical AI resources for developers and builders

I'm already posting on Threads and recently created a LinkedIn page.

For those of you who have successfully grown a newsletter:

• What channel brought you your first 100 subscribers?
• Did you focus more on social media, SEO, Reddit, or something else?
• How often did you publish?
• Looking back, what would you do differently?

I'm not looking for shortcuts or paid ads—just trying to learn what actually worked for others.

Thanks in advance!

Been heads-down testing AI tools in my actual dev workflow for the past month and wanted to share some honest findings — because most of what's written about this stuff is either sponsored or just rephrased tweets.

A few things that genuinely surprised me:

• Claude Code vs Codex CLI — Claude wins on complex refactors but Codex is faster for quick scripts. Neither is magic.
• MCP servers are way more useful than I expected but 80% of the ones people recommend are half-baked
• Google I/O 2026 had 3-4 genuinely useful dev announcements buried under a lot of noise

Happy to go deep on any of these if there's interest. Also been writing up longer breakdowns as I go — DM me if you want a link, don't want to spam the sub.

About a month ago I started a newsletter called Tech Zenith on Beehiiv. The niche is AI tools, open source models, and developer workflows — written for software developers and tech enthusiasts.

The tone is conversational and practical. No hype, no fluff. Think honest breakdowns, real comparisons, and stuff developers can actually use.

So far I've published 11 issues covering things like:

• Underrated Google tools developers are sleeping on
• Claude Code vs Codex CLI — honest comparison
• Best MCP servers for developers
• How to build your first AI agent from scratch
• Vibe coding — what it actually is
• Google I/O 2026 — everything that actually matters for developers

I'm also cross-posting on Medium and sharing on X.

One month in. 20 subscribers.

I know it's early and growth takes time — but I'd genuinely love honest feedback from people who've been through this:

• Does the niche feel too broad or too narrow?
• Is the content angle actually interesting or just another dev newsletter?
• What actually moved the needle for you in the early days?
• Am I doing something obviously wrong?

Not looking for empty encouragement. Just honest takes from people who've built something similar.

Thanks in advance.