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mlsql VS Theysaid

Compare mlsql VS Theysaid and see what are their differences

mlsql

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

Rating
0 reviews
Alternatives Is it good?
Theysaid

Conversational AI surveys, interviews, user tests, polls

Rating
0 reviews
Pricing
Free trial $49 / Monthly ("Essential" "1 seat license" "1 Active AI project")
Alternatives Is it good?
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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
Web App popularity
100% vs 0%
alternatives listed
1 vs 192

Base details

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

mlsql
Theysaid
Website github.com theysaid.io
Pricing —
Free trial $49 / Monthly ("Essential" "1 seat license" "1 Active AI project") Official pricing
Company — Startup from the United States · 20 - 49 employees
Listed in
Education LMS Online Learning Web App +1
AI Surveys Forms And Surveys Customer Feedback Form Builder Conversational AI Survey Tools User Feedback Chatbots +6

About mlsql and Theysaid

In their own words, as submitted to SaaSHub.

mlsql
Theysaid

No description of mlsql yet.

TheySaid - The everything app for feedback, powered by AI and voice to gather, analyze, and act on feedback. Conduct interviews, user tests, surveys, polls, and funnel results into a single dashboard or your database via integrations. Popular use cases include onboarding, customer + employee...

Read more about Theysaid

Features and specs

What each product offers, as listed by its team.

mlsql 0 features
Theysaid 13 features

No features have been listed yet.

  • AI Surveys
    Conversational AI surveys that dig deeper to uncover the why behind every answer.
  • AI Interviews
    AI conducts adaptive interviews, asking smarter questions and adjusting in real time to uncover deeper insights.
  • 2-way voice
    Users speak to AI and complete their form with voice while AI reads questions aloud.
  • Usability Testing
    Ask users to do tasks, visit websites or prototypes, and get voice and video recordings.
  • AI Sidebar
    AI tells you what you've learned recently, suggests new projects, and answers questions.
  • AI Forms
    Now forms are beautiful with an optional AI assist mode to help users quickly fill out forms.
  • Conditional Logic
    Simple, intuitive branching logic still allows AI to ask follow-up questions.
  • Panel Recruiting
    Recruit feedback participants from our panel integrations, or bring your own panel.
  • Teach AI
    Give AI context about your company, pricing, and product by uploading any document.
  • Integrations
    Full-featured connectors with HubSpot, Salesforce, Slack, and more.
  • Free survey creator
    On the website, you can create or brainstorm your next project and then add it to your account.
  • Import surveys
    Import surveys from your ancient survey tools like Qualtrics, SurveyMonkey, or Typeform.
  • Templates
    The best templates for popular feedback types are available with one click.

Analysis

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

mlsql
Theysaid

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

  • TheySaid (theysaid.io) is a solid AI-powered survey and feedback platform that uses conversational, interactive surveys to gather deeper customer insights than traditional static forms, making it a good choice for teams focused on customer experience and product feedback.

Why this product is good

  • Uses AI-driven conversational surveys that feel more like a dialogue, encouraging higher response rates and richer qualitative feedback
  • Automatically follows up on responses to dig deeper into customer sentiment without manual effort
  • Provides AI-generated summaries and actionable insights, saving teams time in analyzing feedback
  • Easy to set up and deploy surveys across multiple touchpoints such as websites, emails, and products
  • Helps uncover the 'why' behind customer opinions rather than just collecting surface-level ratings

Recommended for

  • Product teams seeking qualitative user feedback to guide roadmap decisions
  • Customer success and experience teams measuring satisfaction and reducing churn
  • SaaS companies wanting to gather in-app feedback conversationally
  • Marketing teams looking for deeper audience insights beyond standard surveys
  • Small to mid-sized businesses that want AI-assisted feedback analysis without heavy manual work

Videos

Walkthroughs and reviews on video.

mlsql 0 videos + Add
Theysaid 2 videos + Add

No mlsql videos yet. You could help us improve this page by suggesting one.

TheySaid 3.0 Review – AI Customer Feedback Analysis & Voice-of-Customer Platform (2025)

More videos

  • - Customer Survey Tool product review | Theysaid AI

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
Theysaid
100% 100%
Web App
0% 0%
0% 0%
Customer Feedback
100% 100%
100% 100%
Online Learning
0% 0%
0% 0%
AI
100% 100%

Questions & Answers

As answered by people managing mlsql and Theysaid.

What makes your product unique?

Theysaid's answer:

Most surveys are dull and only scratch the surface. TheySaid turns surveys into conversations, asking real-time follow-ups, revealing the why behind every answer. This gives revenue leaders sharper visibility into customer needs, fueling faster, more confident business decisions that drive growth.

Why should a person choose your product over its competitors?

Theysaid's answer:

Most survey tools stop at collecting answers, giving leaders surface-level data that’s hard to act on. TheySaid turns feedback into real conversations with smart follow-ups, capturing the why behind customer behavior. This means revenue leaders don’t just get data, they get clear action items: what to improve, where to double down, and how to reduce churn. And with insights delivered 10x faster, they can act quickly to capture growth opportunities and make confident business decisions.

How would you describe the primary audience of your product?

Theysaid's answer:

TheySaid is built for B2B leaders who rely on customer insights to drive growth. Our primary audience includes Customer Success teams, Revenue leaders, Product managers, and Marketing executives at SaaS and subscription-based businesses. They use TheySaid to uncover authentic customer sentiment, strengthen retention, and identify expansion opportunities.

What's the story behind your product?

Theysaid's answer:

Surveys were dead. Customers ignored them, response rates tanked, and leaders were left making decisions on scraps of data. Lihong Hicken and Chris Hicken saw the gap and built TheySaid, the first AI-powered conversational survey that actually listens. With AI interviews, live polls, and user testing alongside surveys, TheySaid captures the why behind every answer and instantly translates insights into clear action items. For revenue leaders, that means faster decisions, smarter growth moves, and insights delivered 10x quicker than any traditional tool.

Which are the primary technologies used for building your product?

Theysaid's answer:

TheySaid leverages advanced AI (natural language processing, machine learning, and generative AI), cloud infrastructure, and secure integrations with popular CRM and HR systems to deliver fast, scalable, and reliable insights.

User comments

Share your experience with using mlsql and Theysaid. 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
Theysaid 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 Theysaid since Aug 2024.

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