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mlsql VS Lazy Binger

Compare mlsql VS Lazy Binger and see what are their differences

mlsql

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

Rating
0 reviews
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Alternatives Is it good?
Lazy Binger

Turn your iPhone into a smart remote for 12 TV platforms (Samsung, LG, Roku, Apple TV, Fire TV…): voice control, a camera auto-pilot that skips intros, sleep timer, Wake-on-LAN. 100% local, no account.

Rating
0 reviews
Pricing
Freemium $19.99 / One-off (Lifetime)
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Alternatives Is it good?
DisplaySwitcher
Switch your monitor’s video input and seamlessly transfer text and files! A Linux/macOS/Windows Desktop Application. 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
2 vs 0
LMS popularity
100% vs 0%
alternatives listed
1 vs 10

Base details

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

mlsql
Lazy Binger
Website github.com lazybinger.com
Pricing —
Freemium $19.99 / One-off (Lifetime) Official pricing
Platforms —
iOS
Company — Startup from Spain · 1 - 9 employees · 2026
Listed in
Education LMS Online Learning Web App +1
Media And Entertainment Utilities TV Streaming Entertainment +1

About mlsql and Lazy Binger

In their own words, as submitted to SaaSHub.

mlsql
Lazy Binger

No description of mlsql yet.

LazyBinger turns your iPhone into a universal remote for 12 TV platforms — Samsung, LG, Roku, Sony, Apple TV, Amazon Fire TV, Google TV, Hisense, Panasonic, Philips, VIZIO and Chromecast. TVs on the same Wi-Fi are detected automatically — no IP address to type, no infrared needed. But LazyBinger...

Read more about Lazy Binger

Features and specs

What each product offers, as listed by its team.

mlsql 0 features
Lazy Binger 7 features

No features have been listed yet.

  • Universal TV remote
    Controls 12 platforms: Samsung, LG, Roku, Sony, Apple TV, Fire TV, Google TV, Hisense, Panasonic, Philips, VIZIO, Chromecast.
  • Auto-skip intros
    Camera auto-pilot reads the TV screen and presses Skip Intro / Recap / Next Episode for you.
  • Voice control
    Hands-free "magic words" that work even with the screen locked; multi-language.
  • Wake-on-LAN
    Turns the TV back on from your phone, not just off.
  • Sleep timer
    Auto-shutoff for any TV, including streaming boxes that lack one.
  • Auto-detection
    Finds TVs on your Wi-Fi via Bonjour/SSDP — no IP address to enter.
  • 100% local & private
    No account, no cloud, no ads, no tracking — control stays on your network.

Analysis

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

mlsql
Lazy Binger

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

Overall verdict

  • I don't have verified, up-to-date information about lazybinger.com specifically, so I can't confirm its quality, legitimacy, or safety. Before using it, verify its reputation through recent reviews, check for secure payment practices, and confirm it isn't a scam or content-piracy site.

Why this product is good

  • No reliable or current data available about this specific website in my knowledge base
  • Site names like this are sometimes associated with unofficial streaming or content-aggregation services, which can carry legal or security risks
  • Unable to verify business legitimacy, customer service quality, or user satisfaction without direct access to updated reviews or company information
  • Recommend checking trusted review platforms (Trustpilot, Reddit, BBB) and scanning the site with security tools before entering any personal or payment information

Recommended for

  • Users should independently research and verify this site before use
  • Not recommended for making a decision without checking recent, verified reviews
  • Best approached by cautious users who first confirm legal compliance and data security practices

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
mlsql
Lazy Binger
100% 100%
LMS
0% 0%
0% 0%
TV Streaming
100% 100%
100% 100%
Education
0% 0%
0% 0%
Entertainment
100% 100%

Questions & Answers

As answered by people managing mlsql and Lazy Binger.

Which are the primary technologies used for building your product?

Lazy Binger's answer:

A native iOS app (Swift / SwiftUI). TV discovery uses Bonjour, SSDP and network scanning; control uses each platform's native protocol. On-device intelligence powers the rest: Apple's Vision OCR for the camera auto-skip, and Apple Speech plus an on-device Whisper model for voice. Everything runs locally — there's no backend server in the control path.

What's the story behind your product?

Lazy Binger's answer:

LazyBinger started from pure laziness: losing the remote in the sheets and pressing "Skip Intro" every single episode. The idea was simple — let the phone handle it. That grew into a camera that auto-skips intros, voice magic words you can mumble half-asleep, and a sleep timer that turns the TV off when you doze. It's the remote for horizontal people — private, local and zero-friction.

How would you describe the primary audience of your product?

Lazy Binger's answer:

People who watch a lot of TV in bed or on the couch and want it effortless: cord-cutters and streamers tired of hunting for the remote and mashing "Skip Intro", households juggling several TV brands, and privacy-conscious users who don't want a remote app full of ads and sign-ups. iPhone owners on any of 12 TV platforms.

Why should a person choose your product over its competitors?

Lazy Binger's answer:

Most remote apps stop at a basic D-pad, are ad-supported, and often need a cloud account. LazyBinger adds the things you actually feel every night — auto-skipping intros, voice control, a sleep timer, and turning the TV back on — while staying completely private: no account, no ads, no tracking, and all control on your local network. One app replaces the remote for 12 TV brands.

What makes your product unique?

Lazy Binger's answer:

Three things no other iPhone remote app offers together: a camera "auto-pilot" that watches the TV and automatically skips intros and recaps for you (on a real TV, not just a browser), hands-free voice "magic words" that work with the screen locked, and Wake-on-LAN to turn the TV back on — not just off. All across 12 TV platforms, 100% locally, with no account, no cloud and no ads.

User comments

Share your experience with using mlsql and Lazy Binger. 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.

mlsql 2 mentions
Lazy Binger 0 mentions
  • 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

Tracking Lazy Binger since Jun 2026.

Alternatives to mlsql and Lazy Binger

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