Hi everyone, I am glad to finally join after reading threads here for a while.
I am a founder and I spend most of my time building browser based data tools. My work sits close to the browser rather than heavy backend APIs, so I think a lot about what is actually visible on a page, how to structure that information cleanly, and how to keep extraction read only and respectful of the platforms people use every day.
The areas I care about most are SEO, SaaS growth, Chrome extensions, lead generation, and product distribution. I am comfortable on the technical side, but I have learned that distribution and positioning are usually harder than the code itself, and that is where I still have plenty to learn.
I joined mainly to learn from people who have been doing this longer than me, to contribute where I can be useful, and to exchange practical experiences rather than theory. A lot of what I know came from trial and error, and I would rather compare notes with others who have hit the same walls.
I tend to enjoy the boring details that most people skip, things like cleaning messy data, avoiding duplicates, and understanding why a given approach breaks at scale. If those topics come up, I am happy to dig in.
Looking forward to reading, asking questions, and being a useful member of the community over time.
I am a founder and I spend most of my time building browser based data tools. My work sits close to the browser rather than heavy backend APIs, so I think a lot about what is actually visible on a page, how to structure that information cleanly, and how to keep extraction read only and respectful of the platforms people use every day.
The areas I care about most are SEO, SaaS growth, Chrome extensions, lead generation, and product distribution. I am comfortable on the technical side, but I have learned that distribution and positioning are usually harder than the code itself, and that is where I still have plenty to learn.
I joined mainly to learn from people who have been doing this longer than me, to contribute where I can be useful, and to exchange practical experiences rather than theory. A lot of what I know came from trial and error, and I would rather compare notes with others who have hit the same walls.
I tend to enjoy the boring details that most people skip, things like cleaning messy data, avoiding duplicates, and understanding why a given approach breaks at scale. If those topics come up, I am happy to dig in.
Looking forward to reading, asking questions, and being a useful member of the community over time.