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An academic search engine that utilizes artificial intelligence methods to provide highly relevant results and novel tools to filter them with ease.

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Search less. Sell more.

Which is more popular?
Based on our record, SemanticScholar should be more popular than Lusha. It has been mentioned 4 times since March 2021.
Website, pricing, platforms and company facts side by side.
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| Website | semanticscholar.org | lusha.com |
| Company | β | Startup from the United States Β· 100 - 249 employees Β· 2016 |
| Listed in |
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No description of SemanticScholar yet.
Lusha is a continuously updating database that provides B2B Salespeople with targeted, accurate, and timely business information. Lusha aggregates its data from multiple sources, cross-checking and updating LIVE to ensure up-to-the-minute data accuracy and database cleanliness.
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What is the difference between a prospecting tool and a sales engagement tool? Prospecting tools find and verify contact information. Sales engagement tools run outreach sequences and manage replies. Some platforms,...
Lusha made a name with their Chrome extension β hover over a LinkedIn profile and get the phone number. It's simple and it works. Their data quality for US direct dials is solid. The free tier is slim (5...
Lusha is a lead generation tool focused on providing accurate B2B contact details. It enriches leads with verified email addresses, phone numbers, and company information, helping businesses quickly reach key...
Recommendations tracked on public social media and blogs since March 2021.


Cool project, the space is very crowded: https://x.com/JeffDean/status/1991053401061536027 and http://semanticscholar.org/ come to mind. - Source: Hacker News / 11 months ago
Hi everyone, I have been playing with a few new AI tools for literature reviews that you might like: - Seamless https://seaml.es/ - Semantic Scholar https://semanticscholar.org - Epsilon https://epsilon.ai/ I hope you find them useful. Source: almost 3 years ago
I rely mostly on Microsoft Academic Search. I find an article I need and then usually Google the exact title followed by filetype:pdf. For example: "Toward creating a fairer ranking in search engine results" filetype:pdf. Other services... Source: about 5 years ago
Most SDR stacks start with a contact database β ZoomInfo, Apollo, or Lusha β and treat enrichment as a one-time step at the top of the funnel. The problem: these databases are 3β18 months stale on average. Job titles change. Companies... - Source: dev.to / 6 months ago
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