Jerry Benzie

Hi everyone — I’m building GhostLink Monitoring around a simple idea:

A link can be up and still be wrong.

Most tools check whether a URL responds. GhostLink follows the redirect path and checks where the visitor actually lands.

The first version is focused on trusted business links like campaign URLs, QR-code destinations, affiliate links, branded shortlinks, vendor links, partner URLs, and links used in emails or landing pages.

There’s a Free Link Check on the site if you want to test one authorized business URL and receive a point-in-time redirect result by email.

I’d appreciate feedback on whether the problem is clear, which use case feels strongest, and what would make this valuable enough for a business, agency, affiliate operator, or ecommerce team to pay for.

The idea makes a lot of sense. Influencer marketing is difficult to research manually, so a platform that shows which brands are actively investing in campaigns could be very useful for agencies and creators.

The most valuable part would be identifying real buying signals: which brands are spending, what types of creators they work with, and where campaigns appear to be gaining traction. I’d be interested to see how Sourcify turns that data into actionable outreach opportunities.

I haven’t used ZoraInsights yet, but the idea is strong. Reddit is full of real customer pain, complaints, workarounds, and unmet needs, but it is hard to manually turn that into useful startup validation.

I like that ZoraInsights appears focused on converting those conversations into customer profiles, pain points, direct quotes, sentiment, trends, and startup opportunities. I’d be curious to see how well it separates casual discussion from problems people are actually motivated to pay to solve.

This looks interesting because it focuses on AI economy signals instead of general tech news. Tracking funding rounds, model launches, infrastructure shifts, and founder movement in one place could be genuinely useful for founders, operators, and investors trying to keep up.

I especially like the focus on finding signal inside the noise. The most valuable version would not just say what happened, but explain why it matters and what trend it may point to next.