16 Interest Score
7 Discussions
0.44 Engagement
Dec 2022 Launched

OpenRead.io is a complete lead magnet platform. Know exactly WHEN a lead has read your lead magnets in REAL TIME, using a single platform. And without having to call every lead and having to use complex automation and systems.

What the Community Said

Congrats @hitesh_mistry1 on your launch of OpenRead. It is an innovative way to classify and nurture leads without using traditional email marketing.

— [REDACTED]

Openread is an easy-to-use funnel-building tool that provides all the essential features to produce a complete lead magnet with less effort. It also interfaces with my preferred automation platform, Flowmattic, and provides me with more options for managing the outcome. Apart from the product itself, I find Hitesh - the company's founder - to be quite approachable and willing to answer any questions I may have regarding the tool's functionality and lead generating strategies.

— [REDACTED]

it seems great, but when I click on Visit it tells me that this domain is on the Metamask phishing list.... so I will not go any further unfortunately

— [REDACTED]

Hey OpenRead.io was built to solve our own problem first. We've been running paid lead generation campaigns for the past 10 years (Through a lead generation agency), 5 of those years have been generating leads for Financial Advisors using lead magnets and free guides. There was always a common problem: leads didn't seem to receive the guide and we didn't know who had actually read it too (we saw email opens and link clicks at best). We knew that if we solved this problems our contact and follow

— [REDACTED]

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Frequently Asked Questions

A measure of community engagement at launch. Higher means more people noticed and interacted with the product. It's a traction signal, not a quality rating.

Discussion threads divided by interest score. Above 0.30 is strong. Below 0.15 suggests the product got clicks but not conversation.

Categories come from the product's launch tags. Most products appear in 2-3 categories. The primary category is listed first.

The scores reflect launch-period engagement. Historical data is preserved and doesn't change retroactively. The build date at the bottom shows when the index was last refreshed.

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