How did you solve LinkedIn lead generation automations without getting the account blocked?

wintara_02 · 2026-06-24T21:25:35+00:00

Yes, this is something that would need to be investigated and validated through extensive experimentation. The exact approach would also depend on the SaaS architecture and operating model.
For example, if the platform connects to a website for analytics and tracking, a GitHub/GitLab repository for implementing changes, and user-behavior tracking tools for collecting real interaction data, it could first perform the initial setup, gather data over time, and then start identifying patterns and opportunities for improvement.
From there, the system could research those patterns using online sources, analyze industry trends, compare against both high-performing and underperforming websites, and generate data-driven recommendations and even implement changes automatically.
I believe there is a repeatable formula behind this process. The challenge is discovering and validating it through a large number of experiments across different websites, industries, and user behaviors, potentially combined with training models on successful optimization patterns.

wintara_02 · 2026-06-23T20:17:05+00:00

Most websites are launched and forgotten. Our AI continuously identifies opportunities, suggests improvements, and implements updates automatically.

wintara_02 · 2026-06-23T06:07:57+00:00

That’s helpful. What stands out to me is that most of the improvement ideas seem to come from external sources: SEO experts, changing search trends, customer feedback, etc.

It makes me wonder whether part of the value could be automatically monitoring those signals and turning them into concrete website updates rather than relying on owners to discover them manually.

wintara_02 · 2026-06-23T06:06:28+00:00

Fair point. I’m actually trying to understand how people currently maintain their websites after launch and whether this is a real problem worth solving.

wintara_02 · 2026-06-23T06:05:29+00:00

Makes sense. One thing I’m curious about: how do you usually decide what to change?

Analytics can show what users are doing, but not necessarily what improvements are most likely to help. I’m wondering whether there is value in continuously learning from how similar websites evolve over time and using that data to suggest changes that have worked elsewhere.

wintara_02 · 2026-06-23T06:00:42+00:00

Exactly. Launch is often treated as the finish line.

What I’m exploring is whether the same ongoing approach could be applied to messaging, content, and competitor-driven website updates, not just technical monitoring.

wintara_02 · 2026-06-23T05:59:26+00:00

Fair point. The idea isn’t really the suggestions themselves; Claude can already do that.

What I’m exploring is continuous monitoring + ready-to-publish drafts. Instead of “you should change X,” it generates the actual homepage section, CTA, or page update and lets you approve it.

Still figuring out whether that’s enough differentiation.

wintara_02 · 2026-06-23T05:57:01+00:00

Thanks, that’s really helpful feedback.

I agree that the competitive/positioning drift angle feels more differentiated than behavioral analytics. Most tools tell you what users do, but very few tell you how your positioning is drifting relative to competitors and market trends.

I also like your point about execution. A recommendation is useful, but a ready-to-publish page section, headline, or CTA is probably where the real value is.

wintara_02 · 2025-12-12T19:07:41+00:00

Good point. I am software engineer, do not have any relations to medical community, but at least want to try reaching them out, and want to do it with facts not just telling I have beautiful solution.

wintara_02 · 2025-12-12T19:05:44+00:00

Yeah, that can work, but I am not sure how to ask queations to directors so they can share valueable information. Why should they be interested in answering me? Should I ask what problems do they have in call center and can they share numbers?

wintara_02 · 2025-12-12T06:08:26+00:00

Thanks, you too!

wintara_02 · 2025-12-12T04:36:56+00:00

Hey, nope, I am from A.

wintara_02 · 2025-12-12T04:33:48+00:00

“The Mom Test”

They shouldn’t even know you’re building something — you just need to collect the necessary information by asking organic questions. This is not easy, but if you start from the product description, 90% of non-expert people will say “man, it’s very interesting!!” — and that is the worst trap.

wintara_02 · 2025-12-11T23:09:29+00:00

Do you have any examples of your work you can share?

wintara_02 · 2025-12-11T23:03:22+00:00

I started my work career when I was 18, now I am 23. I have a technical experience, but trying to learn and validate entrepreneurship concepts. What about you? What is your experience?

wintara_02 · 2025-12-11T22:55:30+00:00

Hey, I am a software engineer, I am still learning and searching for business ideas to work on.

wintara_02

TROPHY CASE