
Post Affiliate Pro
Affistash
Affiliate Finder AI
Dub
Breezy.io
AffiliateFinders
Publisher Finders
Leading global affiliate discovery and recruiting platform

FriendlyData
Infer SQL queries from plain-text questions and table headers.

Which is more popular?
Based on our record, mlsql seems to be more popular. It has been mentioned 2 times since March 2021.
Website, pricing, platforms and company facts side by side.
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| Website | publisherdiscovery.com | github.com |
| Pricing | — | |
| Platforms | — | |
| Company | 2016 | — |
| Listed in |
In their own words, as submitted to SaaSHub.


Leading global affiliate analysis and insights platform. Free tools include Chrome extension and Insights Search bar - subscription enables full detail insights on over 3.5 million affiliate websites linking to over 600k advertiser programs worldwide. Platform tools enable full affiliate program...
No description of mlsql yet.
What each product offers, as listed by its team.


No features have been listed yet.
An editorial look at what each product does well and who it suits.


No analysis of Publisher Discovery yet.
Overall verdict
Why this product is good
Recommended for
Walkthroughs and reviews on video.
Finding new affiliates
More videos
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How often each product is chosen within a category, 0–100% relative to the other.


Share your experience with using Publisher Discovery and mlsql. For example, how are they different and which one is better?
Recommendations tracked on public social media and blogs since March 2021.


Tracking Publisher Discovery since May 2021.
I am working on a project that requires me to take user input (as English) and return SQL queries. We will eventually be working with multiple datasets, which is why the valuenet over at https://github.com/paulfitz/mlsql ended up being... Source: almost 5 years ago
I found this great resource here: https://github.com/paulfitz/mlsql. Source: almost 5 years ago
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Communicate with databases like a human
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An open-source link shortener SaaS with built-in analytics and free custom domains.
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