Salman Anwar Awan's profile on Product Hunt

About

As a Content Writer and SEO Specialist, my job involves creating relevant and high-quality content with practical value which is based on the search queries of users. I have a special passion for making the most out of any idea by transforming it into engaging and helpful content that can help achieve specific business purposes. I am engaged in the development of blogs, websites’ copy, landing pages, product descriptions, social media posts and SEO-optimised articles. I feel confident with such processes as keyword research, search intent, content optimisation, on-page SEO, editing and competitor analysis. The key thing about the right SEO strategy for me is not using as many keywords as possible but rather answering the right questions.

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4h ago

I created an application that converts chaotic meeting notes into follow-up emails.

In the past three months, I've developed Followline, a tiny app that transforms meeting notes into the body of an email, which you then need to polish and personalise. I work alone, and the project came up since I was frequently failing my deals, responding two days after getting them.

The biggest surprise I experienced was the response from early testers. The users valued my fast approach much less than I expected; they were all about the tone. They wanted the draft to sound like me, so I incorporated an option to copy-paste your last three emails, and the system picks up on your tone. This is the first thing users touch when trying Followline.

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4h ago

Greetings from Porto: former barista, now creating a tip app for small cafes

Hello all. I've spent six years behind an espresso machine before teaching myself React in the 2023 downtime. Nowadays I'm developing TipJar Lite, an application that splits tips between people working in cafes with less than ten employees.

The idea was born after observing how our manager split tips using a napkin every Sunday evening. Someone always felt short-changed, but no one dared to say it out loud.

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4h ago

That single line of prompt that prevented my AI from deleting functional code

I've been working on my habit tracker project, Streakpad, using Cursor for about six weeks. The most expensive mistake I made did not come from a bug. It came from asking the model to "clean up" a file and then watching it silently delete a date parsing function that three screens relied on.

Since then, I've been adding one line to each prompt: list what you will change and what you will not change, and then wait. It takes maybe ten seconds. It has saved me at least four rollbacks, and I now read the "will not change" list more carefully than the code itself.