SEO agencies need a way to automate OSINT and Google Dorking specifically for LinkedIn profiles to gather leads.
Target User
B2B sales teams and marketing agencies running lead generation campaigns
Product Idea
LinkedIn Data Extractor: A browser extension/SaaS tool that automates structured data extraction (name, title, company, email pattern) from LinkedIn profiles using advanced search queries.
Evidence
“Automating Osint/Google Dorking for LinkedIn with AI (GhostIn Alternative Tool)”
“https://news.ycombinator.com/item?id=48224550”
Why this opportunity matters
This opportunity surfaced from multi where B2B sales teams and marketing agencies running lead generation campaigns are actively describing the problem in their own words. We classified the demand intensity as medium — meaning the problem is consistent enough that multiple users are searching for a fix, even if they have not committed to paying yet. When users self-select to post a problem on a public platform like multi, they are usually already trying to solve it — which makes them strong candidates for the right paid alternative.
How to validate this before you build
Before writing a single line of code, three lightweight steps will tell you whether this opportunity is worth pursuing:
- Read the original conversation. The evidence links above lead to the exact threads where users described this problem in their own words. Read every comment — what people argue about in the replies often matters more than the original post.
- Talk to five real users. Find five people who match the target user description above and ask how they handle this today. You are looking for two signals: a consistent workaround they hate, and a willingness to pay for something better. If both show up in three of five conversations, the demand is real.
- Test willingness to pay before building. Put up a one-page landing site describing the proposed product, with a deposit or pre-order checkout. If even a small fraction of traffic converts to a real payment, you have validated more than most products that ship to production.
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