
Which is more popular?
Based on our record, Divjoy seems to be a lot more popular than mlsql. While we know about 29 links to Divjoy, we've tracked only 2 mentions of mlsql.
Website, pricing, platforms and company facts side by side.
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| Website | divjoy.com | github.com |
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In their own words, as submitted to SaaSHub.


Divjoy speeds up React development. Choose everything you need in your project (auth, database, payments, accounts system, marketing pages, etc), pick a nice template, then export a high-quality codebase you can keep building on. You can use Divjoy to build everything from simple landing pages to...
No description of mlsql yet.
What each product offers, as listed by its team.


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


Overall verdict
Why this product is good
Recommended for
Overall verdict
Why this product is good
Recommended for
Walkthroughs and reviews on video.
Divjoy React app with Stripe payments
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How often each product is chosen within a category, 0–100% relative to the other.


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


Agreed, check https://divjoy.com, has almost everything and helps work on the core product. Source: over 3 years ago
Some boilerplates do offer some choices - usually around the front end, which tends to be a manageable piece to bite off. The two I'm aware of that do this reasonably well are my product SaaS Pegasus (for Python/Django) and DivJoy (for... Source: over 3 years ago
I built something I wanted that I knew I would have paid for if it existed (https://divjoy.com). If I was looking for a side hustle now I'd 100% be playing with GPT-3/ChatGPT and building small tools. There's a good chance your first few... - Source: Hacker News / almost 4 years ago
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: over 4 years ago
I found this great resource here: https://github.com/paulfitz/mlsql. Source: almost 5 years ago
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