Find Me A Laptop

After my Fazier launch earlier this week, I realized that building a product is just the first step—the real challenge is getting it in front of the right people.

So, I sat down and mapped out my marketing plan, focusing on where my ideal users actually spend their time online.

At first, I thought about classic channels, but then it hit me: most people looking for laptops are scrolling through Instagram or YouTube, not just tech forums. That’s when I decided to go all in on short-form video.

Here’s my plan:

• Instagram Reels & YouTube Shorts: I’ll create videos under 30 seconds, showing quick tips, behind-the-scenes moments, and product highlights. These formats are perfect for grabbing attention and reaching a wider audience, since both platforms promote short, engaging content123.

• SEO: I’ll write practical blog posts answering real questions about buying laptops, so people searching on Google can find me when they actually need help.

• Social Media: I’ll keep sharing my journey and updates on Twitter and Instagram, focusing on authentic stories and connecting with the community.

The goal? Reach people where they already are, keep the content short and valuable, and build trust through transparency and consistency.

Do you have any recommendations for me ?

Getting those first users felt like climbing a mountain. I knew building a great product wasn’t enough—I had to get it in front of people.

So I started sharing everything on Twitter and Indie Hackers: the wins, the struggles, even the messy parts. I posted updates, asked for feedback, and joined conversations. Slowly, people started noticing.

One day, a few indie hackers replied to my thread, saying they wanted to try Find Me A Laptop. That small moment—real people using what I built—was huge. It reminded me why building in public matters: it’s not just about transparency, it’s about connection.

Since then, every comment, DM, and piece of feedback has helped shape the product in ways I couldn’t have imagined.

If you’re starting out, don’t underestimate the power of showing your work and engaging with the community. The first users are out there—they just need to hear your story.

For Day 4 of #buildinpublic, I wanted to share how I put together the landing page for Find Me A Laptop—a crucial step from earlier in the project.

Since I’m a developer, not a designer, I used an AI design tool to generate a quick first version of the landing. It gave me a solid starting point with layouts and color suggestions in minutes. From there, I started tweaking things manually—simplifying sections, adjusting copy, and moving elements around until it felt clear and easy to use.

It’s definitely not perfect, but a couple of users have already mentioned that the site is straightforward and easy to navigate. Small progress, but it feels good!

If you’ve used AI as a design jumpstart and then iterated by hand, I’d love to hear your experience or any tips.

Today I wanted to share a real story from a remote worker who recently used Find Me A Laptop.

She told me she’d spent weeks stressing over which laptop to buy—worried about battery life, performance, and whether the webcam would be good enough for all her video calls. She kept bouncing between reviews and spec sheets, feeling more confused with every click.

Then she tried Find Me A Laptop. After answering a few questions about her work style and needs, she got a shortlist of laptops that actually fit her remote work life—long battery, reliable webcam, and enough power for multitasking and meetings.

She messaged me later to say it was the first time she felt confident buying a laptop for remote work, without second-guessing her choice. That kind of feedback is what keeps me building.

If you work remotely, what’s the #1 thing you look for in a laptop? I’d love to hear your thoughts!

Thanks for following along on this journey.

Yesterday, I launched Find Me A Laptop, a tool designed to simplify the laptop selection process. The response was overwhelming: over 3,000 views on the launch tweet and 200 users signed up on the first day. Seeing users share their personalized recommendations on Twitter was both humbling and exhilarating.

Today, I focused on enhancing the user experience based on the feedback received. I streamlined the interface, improved the recommendation algorithm, and ensured the platform was more responsive. Each tweak aimed to make the journey from question to answer as seamless as possible.

Building in public has been an enlightening experience. Sharing the highs and lows, the wins and the lessons, has not only kept me accountable but also connected me with a community that offers invaluable support and insights.

As I continue this journey, I'm reminded of the power of transparency and collaboration. If you're interested in the process or have suggestions, I'd love to hear from you!

A few months ago, my phone buzzed with a familiar message from a friend:
"Hey, can you help me pick a laptop? I have no idea what to look for."

I smiled—because it wasn’t the first time. In fact, it happened so often that I’d started to wonder:
Why is buying a laptop still so confusing?

I remembered sitting with friends, scrolling through endless lists, comparing specs that seemed written in another language, and reading “best laptops of the year” articles that never seemed to fit what they actually needed. I’d become the unofficial “laptop guy” in my circle—not because I loved shopping, but because I could translate tech jargon into real-world advice.

One night, after helping yet another friend avoid a laptop disaster, I had a thought:
What if I could build something that did this for everyone?

So I did what every indie hacker dreams of: I started building in public.
I sketched out a simple idea—ask people a few questions, run their answers through an algorithm, and instantly show them laptops that actually fit their needs and budget. No more guesswork, no more hours lost in research.

That’s how Find Me A Laptop was born.

I spent two months coding, collecting data, and refining the matching system. The biggest challenge? Making the recommendations feel personal—like advice from a friend, not a faceless bot. I shared every step, every late-night breakthrough, and even the setbacks with the community.

Launch day came. I hit “publish” and waited.
Within hours, Find Me A Laptop had 3.5k views on Twitter. My inbox filled with screenshots—students, designers, and gamers sharing the laptops they’d found. For the first time, I saw strangers light up when tech finally made sense.

How does it work?

• You answer 5 quick questions about how you’ll use your laptop and what matters to you.

• My AI-powered algorithm sorts through thousands of models and specs.

• In seconds, you get tailored recommendations with clear specs, performance scores, and real prices—no signup, no email, no paywall.

My vision?
I want Find Me A Laptop to be the tool people trust when they need to cut through the noise and just find what works. I believe tech should empower, not overwhelm.

If you’ve ever felt lost in the laptop maze, I built this for you.

👉 Try Find Me A Laptop

And if you have feedback, ideas, or just want to swap indie hacker stories, I’d love to hear from you.
Let’s make tech simple—one laptop at a time.