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ListingSaaS VS mlsql

Compare ListingSaaS VS mlsql and see what are their differences

ListingSaaS

Hand-submitted. Tailored per directory. Screenshotted.

Rating
0 reviews
Pricing
Paid $99 / One-off (100 Directory submission.)
Alternatives Is it good?
mlsql

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

Rating
0 reviews
Alternatives Is it good?
StartupSubmit.app
Startup directory submission service for SaaS, AI, software, and technology companies. Get listed on relevant directories to build visibility, backlinks, and online presence. sponsored
Note: These products don't have any matching categories. If you think this is a mistake, please edit the details of one of the products and suggest appropriate categories.

Which is more popular?

Based on our record, mlsql seems to be more popular. It has been mentioned 2 times since March 2021.

social mentions
0 vs 2
Backlinks popularity
100% vs 0%
alternatives listed
18 vs 1

Base details

Website, pricing, platforms and company facts side by side.

ListingSaaS
mlsql
Website listingsaas.com github.com
Pricing
Paid $99 / One-off (100 Directory submission.) Official pricing
—
Platforms
Web
—
Company Startup from Bangladesh · 1 - 9 employees · 2026 —
Listed in
SaaS Management Backlinks Software Directory Submission SEO Tools +1
Education LMS Online Learning Web App +1

About ListingSaaS and mlsql

In their own words, as submitted to SaaSHub.

ListingSaaS
mlsql

ListingSaaS is a done-for-you directory submission service for SaaS. You fill in one intake form. A person then submits your product by hand to 100 or 200 directories, with listing copy written for each one, and sends a timestamped screenshot of every submission. A live tracking sheet shows each...

Read more about ListingSaaS

No description of mlsql yet.

Features and specs

What each product offers, as listed by its team.

ListingSaaS 8 features
mlsql 0 features
  • Manual Directory Submissions
    A person submits your SaaS to 100 or 200 software and startup directories.
  • Directory-Specific Listing Copy
    Listing copy is tailored to each directory instead of reusing the same generic description everywhere.
  • Timestamped Screenshot Proof
    Receive a timestamped screenshot documenting every directory submission.
  • Live Submission Tracking
    Track direct links, submission statuses, and link types in one live spreadsheet.
  • One-Time Pricing
    Choose 100 directories for $99 or 200 directories for $149, with no recurring subscription.
  • AI Directory Coverage
    The 200-directory Full Coverage package includes submissions to AI directories.
  • Rejected Listing Resubmissions
    Full Coverage includes free rewrites and resubmissions for rejected listings for 30 days.
  • Transparent Submission Policy
    No PBNs or link farms. Separate paid directory fees are flagged, and rankings or approvals are not guaranteed.

No features have been listed yet.

Analysis

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

ListingSaaS
mlsql

No analysis of ListingSaaS yet.

Overall verdict

  • MLSQL is a solid open-source unified platform that blends SQL with machine learning, making data engineering and ML workflows accessible through a single, declarative language. It's a good choice for teams looking to streamline big data and ML pipelines without switching between multiple tools.

Why this product is good

  • It unifies data processing and machine learning under a single SQL-like syntax, lowering the learning curve for data teams.
  • Built on top of Apache Spark, it leverages a proven distributed computing engine for handling large-scale data.
  • Open-source and actively developed, allowing customization and community-driven improvements.
  • Supports the full ML lifecycle including data preprocessing, training, and deployment within one workflow.
  • Reduces the need to context-switch between separate ETL, analytics, and ML tools.

Recommended for

  • Data engineers and data scientists who prefer SQL-centric workflows
  • Teams working with big data on Apache Spark
  • Organizations wanting to unify ETL and machine learning pipelines
  • Companies seeking an open-source alternative to fragmented ML tooling
  • Analysts looking to build ML models without deep programming expertise

Category popularity

How often each product is chosen within a category, 0–100% relative to the other.

Score bands 0–20 21–40 41–50 51–60 61–100
ListingSaaS
mlsql
100% 100%
Backlinks
0% 0%
0% 0%
Online Learning
100% 100%
100% 100%
SaaS Management
0% 0%
0% 0%
Web App
100% 100%

Questions & Answers

As answered by people managing ListingSaaS and mlsql.

What's the story behind your product?

ListingSaaS's answer

I built ListingSaaS to take the repetitive work of directory submissions off founders' plates and make every submission easy to verify.

Who are some of the biggest customers of your product?

ListingSaaS's answer

No publicly named customers yet.

Why should a person choose your product over its competitors?

ListingSaaS's answer

We tailor each listing, submit by hand, and charge once: $99 for 100 directories or $149 for 200.

How would you describe the primary audience of your product?

ListingSaaS's answer

Indie hackers, SaaS founders, and small teams who want directory listings without spending hours submitting to sites themselves.

What makes your product unique?

ListingSaaS's answer

Every submission comes with a timestamped screenshot and a tracking sheet, so you can see the work done.

Which are the primary technologies used for building your product?

ListingSaaS's answer

I have used Next.js in the frontend and Nest.js in the backend, and I am using self-hosted Postgres and Redis as well, with Prisma ORM. And for the payment I am using Whop.

User comments

Share your experience with using ListingSaaS and mlsql. For example, how are they different and which one is better?

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Social recommendations and mentions

Recommendations tracked on public social media and blogs since March 2021.

ListingSaaS 0 mentions
mlsql 2 mentions

Tracking ListingSaaS since Oct 2026.

  • Download the files from Docker Container and locally edit them
    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
  • Clone and edit Docker Projects hosted on Github
    I found this great resource here: https://github.com/paulfitz/mlsql. Source: almost 5 years ago

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