5,466 karma · joined February 12, 2023
What I want is Astro with just web standards like Webcomponents
Start with the Basics: I spent some time wrapping my head around the fundamentals. Books like "Influence" by Cialdini, "Crossing the Chasm" by Geoffrey Moore, and "The 22 Immutable Laws of Marketing" by Ries & Trout helped me get a grip on core concepts like positioning, target audiences, and the psychology behind persuasion.
Focus on One Channel and Iterate: I learned the hard way that it’s tempting to try every platform, but that’s overwhelming—especially when you’re solo. So I picked one channel that made sense for my audience (initially, email outreach and LinkedIn). I ran small experiments with subject lines, tone, calls-to-action, and watched what worked.
Engage in Conversations, Not Sales Pitches: A big part of sales, I realized, is listening. I started hanging out in niche forums and Slack/Discord channels where my potential users might be, answering questions, and offering help. When people realize you’re there to support them, not just push a product, it builds trust.
Use Low-Cost Tools and Communities: Hacker News, indie hacker communities, and entrepreneur subreddits are goldmines for getting feedback on landing pages, pitch decks, or just your general marketing approach. I regularly post progress updates or ask for opinions—sometimes the feedback can sting, but it’s invaluable.
Document Everything: Whenever I tried a new marketing tactic—be it a cold outreach email or a small Twitter ad campaign—I noted my assumptions, what I did, and the results. Over time, I built up a playbook of what actually moves the needle for my audience.
Build Real Relationships: Early on, I put a lot of effort into meaningful relationships—both with early customers and other solo founders. A quick Zoom call or a coffee chat can lead to referrals, partnerships, or just great insight. Honestly, it’s usually more about genuine curiosity and a willingness to help than any formal pitch.
Adopt a Continuous Learning Mindset: Marketing and sales tactics change quickly—algorithms, consumer behavior, best practices, all of it. I keep reading, trying, and asking questions. And I keep telling myself that every “No” is actually a “Not yet”—it’s just data to improve my approach.
That’s how I’ve been tackling marketing and sales as a solo entrepreneur. Keep things simple, learn by doing, and stay genuinely curious about your customers. It’s an ongoing process, but one that becomes more intuitive with each experiment. Good luck!
First, there’s the issue of readability. Bash's syntax can become downright cryptic as it grows. Variable scoping rules are subtle, error handling is primitive, and string handling quickly becomes messy. These factors translate into code that’s harder to maintain and reason about. As a result, future maintainers are likely to waste time deciphering what’s going on, and they’ll also have a harder time confidently making changes.
Next, there’s the lack of robust tooling. With more mature languages, you get static analysis tools, linters, and debuggers that help you spot common mistakes early on. For bash, most of these are either missing or extremely limited. Without these guardrails, large bash programs are more prone to silent errors, regressions, and subtle bugs.
Then there’s testing. While you can test bash scripts, the process is often more cumbersome. Complex logic or data structures make it even trickier. Plus, handling edge cases—like whitespace in filenames or unexpected environment conditions—means you end up writing a ton of defensive code that’s painful to verify thoroughly.
Finally, the ecosystem just isn’t built for large-scale Bash development. You lose out on modularity, package management, standardized dependency handling, and all the other modern development patterns that languages like Python or Go provide. Over time, these deficits accumulate and slow you down.
I think using Bash for one-off tasks or simple automation is fine — it's what it’s good at. But when you start thinking of building something substantial, you’re usually better off reaching for a language designed for building and maintaining complex applications. It saves time in the long run, even if the initial learning curve or setup might be slightly higher.
1. Collect a list of archived URLs (via archive.org’s CDX endpoints). 2. Download each page and all related assets. 3. Rewrite all links that currently point to `web.archive.org` so they point to your domain or your local file paths.
The tricky part is the Wayback Machine’s directory structure—every file is wrapped in these time-stamped URLs. You’ll need to remove those prefixes, leaving just the original directory layout. There’s no perfect, purely automated solution, because sometimes assets are missing or broken. Be prepared for some manual cleanup.
Beyond that, the process is basically: gather everything, clean up links, restore the original hierarchy, and then host it on your server. Tools exist that partially automate this (for example, some people have written scripts to do the CDX fetching and rewriting), but if you’re comfortable with web scraping logic, you can handle it with a few careful passes. In the end, you’ll have a mostly faithful static snapshot of the old site running under your revived domain.