signalqub - Find local businesses with broken web infrastructure.
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SignalQub is an intent data platform built specifically for web design, marketing, and sales agencies. Instead of relying on generic lead lists, SignalQub scans local markets and flags businesses suffering from critical technical debt. You get a clean CSV export with direct owner emails, phone numbers, and the exact technical failure you need to write a personalized and high converting cold email.
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I am Jacob, the founder of SignalQub.
We all know the brutal reality of cold outreach. Buying massive, generic email lists and spraying the same template to thousands of recipients simply does not work anymore. It wastes your time, burns your domain reputation, and yields terrible conversion rates.
Cold outreach only works when you have absolute leverage. You need a highly specific reason to reach out that bypasses the gatekeeper immediately.
That is why I built SignalQub.
SignalQub is an intent data engine engineered specifically for marketing agencies, web developers, and sales teams. Instead of pulling raw contact data, our backend runs real time technical audits on local business websites. We isolate the exact businesses suffering from critical technical debt, such as broken web infrastructure, missing schema markup, or lack of secure certificates.
We then pair these high intent technical failures with highly enriched, verified contact details including owner names, direct emails, and phone numbers.
When you export a clean CSV from SignalQub, you aren't just getting a lead list. You are getting a ready made pitch layout. You can walk into an owner's inbox with clear diagnostic proof of what is broken on their site and exactly how you can fix it.
Our Phase 1 Launch Special: To celebrate our launch today, we are offering curated data exports so you can test these high converting signals in your own niche immediately.
SignalQub was built completely from scratch to solve the lead quality crisis for modern agencies. I would love to get your honest feedback on our data structure, dashboard usability, and filtering options.
I will be active in the comments all day to answer your technical questions. Thank you for the support!