
Acast
Podomatic
Buzzsprout
Player FM
gPodder
Pocket Casts
Overcast
🔍 Podcast search engine that actually works
Text2SQL.AI
AI2sql
TTSQL
Vanna AI
AskYourDatabase
EXASOL
Lila
Generate SQL queries using text

Which is more popular?
Based on our record, Listen Notes seems to be more popular. It has been mentioned 12 times since March 2021.
Website, pricing, platforms and company facts side by side.
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TSQ
Txt2SQL
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|---|---|---|
| Website | listennotes.com | txt2sql.com |
| Pricing | ||
| Company | — | 2024 |
| Listed in |
In their own words, as submitted to SaaSHub.

No description of Listen Notes yet.
Text2SQL generates optimized SQL queries based on plain text and custom database schema
What each product offers, as listed by its team.

Possible disadvantages
Possible disadvantages
An editorial look at what each product does well and who it suits.

Overall verdict
Why this product is good
Recommended for
Podcast enthusiasts who enjoy discovering new podcasts, app developers looking to integrate podcast functionality into their products, and anyone interested in curated podcast content will find Listen Notes to be an excellent resource.
No analysis of Txt2SQL yet.
Walkthroughs and reviews on video.
Listen Notes review! Is it the best podcast search engine?! 🧐
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How often each product is chosen within a category, 0–100% relative to the other.

Share your experience with using Listen Notes and Txt2SQL. For example, how are they different and which one is better?
Recommendations tracked on public social media and blogs since March 2021.

So for that, I go to listennotes.com. There, I can search for the exact phrase "San Diego Open," sort by when it was updated, and away I go. Source: about 3 years ago
I discover podcasts by using an episode search, for very specific topics I like. A lot of podcast players don't have good search features--use listennotes.com or some other search engine, if needed. Source: over 3 years ago
You can search on listennotes.com to see which other pods covered it. Source: over 3 years ago
Tracking Txt2SQL since Feb 2024.
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