
Automate your B2B Lead Generation with LeadShark's Lead Magnet automation software. LeadShark simplifies DM outreach, by sending automated messages to people who comment on your LinkedIn posts. Find more leads, engage automatically with LeadShark!
A startup from Estonia.
This page is designed to help you find out whether LeadShark.io is good and if it is the right choice for you.
Automate your DMs for lead magnet posts on LinkedIn, by sending automated messages to people who comment a specific keyword. Customize your DM template, select multiple reply options to comments & launch! Auto-connect with people if not already connected.
Responding to comments on LinkedIn posts manually and tracking users often engaging with your posts is quite difficult. Especially for "lead-magnet" posts, which deliver value to people who comment a specific keyword, posters have to manually DM 100s of commenters with the promised content, and have to keep track all commenters, who are warm leads.
This is why we built LeadShark, to help LinkedIn influencers by providing LinkedIn growth and engagement automations for accelerating their warm lead generation. This is critical for many, who rely on LinkedIn as their main customer acquisition channel.
Listed in
Automate
Lead magnet posts are now automated, replies to comments and DMs are sent to people who comment.
Grow
Grow your connections and generate warm leads on autpilot.
Analytics
Get an overview of your posts performance, leads generated & new connections.
LeadShark is specifically targeting LinkedIn automation market, and distinguishes itself from broader automation tools such as Taplio, which is for content scheduling automation, by focusing on lead-magnets as a starting point. There is no competitor in the market, specifically for automating lead-magnet posts on LinkedIn. Other competitors such as ManyChat focus on Instagram, Facebook and Twitter, but are not available for LinkedIn. We will expand to cover in-depth analytics for LinkedIn engagement, similar to Shield (analytics dashboard for LinkedIn), but will maintain our focus on automating direct messages which Shield does not have. In a nutshell, we are uniquely positioned to serve an underserved market of LinkedIn influencers by providing LinkedIn growth and engagement automations for accelerating their warm lead generation. This is critical for many, who rely on LinkedIn as their main customer acquisition channel.
LeadShark is built using Cursor (Claude 3.5 Sonnet), Vercel and Supabase.
Our primary audience is people who run lead magnet posts on LinkedIn, especially influencer / thought leaders. Another audience is startup CEOs & sales teams. In essence, our customer is both B2B accounts, startup CEOs who post regularly on LinkedIn on behalf of their company, as well as B2C, LinkedIn users who want to grow their following. Often they are selling service-based offerings such as LinkedIn Personal Branding courses, Lead Generation courses etc. Lastly, we have agencies, who run sponsored posts, or run lead-magnet posts on behalf of their clients, these are usually lead generation agencies, who are often active on LinkedIn, as it is their main customer acquisition channel.
We have collected here some useful links to help you find out if LeadShark.io is good.
Check the traffic stats of LeadShark.io on SimilarWeb. The key metrics to look for are: monthly visits, average visit duration, pages per visit, and traffic by country. Moreoever, check the traffic sources. For example "Direct" traffic is a good sign.
Check the "Domain Rating" of LeadShark.io on Ahrefs. The domain rating is a measure of the strength of a website's backlink profile on a scale from 0 to 100. It shows the strength of LeadShark.io's backlink profile compared to the other websites. In most cases a domain rating of 60+ is considered good and 70+ is considered very good.
Check the "Domain Authority" of LeadShark.io on MOZ. A website's domain authority (DA) is a search engine ranking score that predicts how well a website will rank on search engine result pages (SERPs). It is based on a 100-point logarithmic scale, with higher scores corresponding to a greater likelihood of ranking. This is another useful metric to check if a website is good.
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