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mlsql VS AskHedgy

Compare mlsql VS AskHedgy and see what are their differences

mlsql

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

Rating
0 reviews
Promote on VibeVoted
Alternatives Is it good?
AskHedgy

Stop losing customers without ever knowing why. QR-code feedback for offline businesses — instant alerts on low ratings, before they become a bad review.

Rating
0 reviews
Pricing
Paid Free trial $15.99 / Monthly (Starter plan)
Promote on VibeVoted
Alternatives Is it good?
FlexiQuiz
FlexiQuiz is a powerful online test generator that enables you to create engaging online quizzes, tests, or exams in minutes. Choose from 100's of features to create a customized quiz that meets your objectives for business, education, or fun. 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 9

Base details

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

mlsql
AskHedgy
Website github.com askhedgy.com
Pricing —
Paid Free trial $15.99 / Monthly (Starter plan) Official pricing
Platforms —
Web SaaS
Company — Startup from Lithuania · 1 - 9 employees · 2026
Listed in
Education LMS Online Learning Web App +1
Customer Feedback Survey Tools Customer Experience User Feedback Surveys Reputation Management Feedback Market Research +5

About mlsql and AskHedgy

In their own words, as submitted to SaaSHub.

mlsql
AskHedgy

No description of mlsql yet.

AskHedgy is an anonymous customer feedback tool built specifically for offline businesses — restaurants, cafes, salons, clinics, auto repair shops, and 90+ other niches. How it works: the business owner creates a survey, choosing from five purposeful goals — collect reviews, protect reputation,...

Read more about AskHedgy

Features and specs

What each product offers, as listed by its team.

mlsql 0 features
AskHedgy 11 features

No features have been listed yet.

  • QR Code Surveys
    Print-ready QR codes generated in one click, in A4–A7 formats
  • Instant Low-Rating Alerts
    Email notification the moment a customer leaves a rating below threshold
  • Event Annotations
    Mark any date on the analytics chart to see how a change affected customer ratings
  • Insight Question
    An automatically added question that surfaces hidden drivers of satisfaction — atmosphere, wait time, comfort
  • Response Booster
    Optional reward for survey completion — increases response rates so quieter customers get heard too
  • 5 Survey Goals
    Collect reviews, protect reputation, understand loyalty, win back customers, or test a hypothesis — each with tailored questions
  • No App, No Login Required
    Customers scan and answer anonymously — no account, no download, under a minute
  • Question Library by Niche
    Recommended survey questions auto-selected based on business type — covers 90+ niches
  • Duplicate Prevention
    Device ID and browser fingerprinting stop the same respondent from skewing results
  • Drag-and-Drop Question Editor
    Reorder, edit, or remove survey questions directly in the builder
  • Anonymous by Design
    Respondents aren't required to provide identifying information — built for honest, unfiltered feedback

Analysis

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

mlsql
AskHedgy

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

No analysis of AskHedgy yet.

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
AskHedgy
100% 100%
LMS
0% 0%
0% 0%
Customer Experience
100% 100%
100% 100%
Education
0% 0%
0% 0%
Survey Tools
100% 100%

Questions & Answers

As answered by people managing mlsql and AskHedgy.

What makes your product unique?

AskHedgy's answer:

AskHedgy catches unhappy customers in the moment, not after they've already left a bad review. A QR code placed at the point of visit lets customers share honest, anonymous feedback in under a minute — no app, no login. If a rating comes in low, the owner gets an instant email alert while there's still time to make it right. Beyond catching problems, event annotations let owners see exactly how a change (a new hire, a menu update) shifted customer ratings over time.

Why should a person choose your product over its competitors?

AskHedgy's answer:

Most survey tools are generic form builders retrofitted for feedback. AskHedgy is purpose-built for offline businesses: QR-first (no links to share, no email campaigns), real-time low-rating alerts out of the box, and five specific survey goals (collect reviews, protect reputation, understand loyalty, win back customers, test a change) instead of one generic "rate us" form.

How would you describe the primary audience of your product?

AskHedgy's answer:

Owners and managers of offline businesses where the customer experience happens in person — restaurants, cafes, salons, clinics, auto repair shops, retail stores, and 90+ other niches. Typically one to a few locations, living on repeat customers and reputation rather than one-off traffic.

What's the story behind your product?

AskHedgy's answer:

The idea came from a simple, common experience: something goes wrong during a visit, the customer's mood drops, and they quietly decide not to come back — without ever telling the owner. The business loses valuable feedback, and the customer walks away with an unspoken opinion. AskHedgy was built to close that gap — giving customers an easy, anonymous way to speak up in the moment, and giving owners a chance to act before it's too late.

Which are the primary technologies used for building your product?

AskHedgy's answer:

AskHedgy runs on infrastructure we manage and maintain ourselves — there's no self-hosting or on-premise setup required on the customer's end.

User comments

Share your experience with using mlsql and AskHedgy. 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
AskHedgy 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 AskHedgy since Aug 2026.

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