Software Alternatives & Startups
Register | Login

LumiGap VS StackGo

Compare LumiGap VS StackGo and see what are their differences

LumiGap

AI vision lab for poker tables. Train AI models to recognize poker tables.

Rating
0 reviews
Pricing
Freemium €38 / Monthly (LumiGap Pro (Monthly EUR 38.00))
Alternatives Is it good?
StackGo

Simple Client Onboarding and Verification

Rating
0 reviews
Alternatives Is it good?
Sugarbug
Connect your tools into a living knowledge graph. Sugarbug captures every signal to deliver compounding insights and unified context. 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.

Base details

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

LumiGap
StackGo
Website lumigap.com stackgo.io
Pricing
Freemium €38 / Monthly (LumiGap Pro (Monthly EUR 38.00)) Official pricing
Official pricing
Platforms
Mac MacOS
—
Company Startup from Spain · 1 - 9 employees · 2025 —
Listed in
AI Tools Computer Vision Machine Learning Data Analytics Big Data Analytics Machine Data Analytics Data & Analytics Data Analytics / AI AI Developer Tools Developer Tools Data Science And Machine Learning Machine Learning Tools +9
Identity And Access Management Identity Verification User Onboarding Customer Onboarding +1

About LumiGap and StackGo

In their own words, as submitted to SaaSHub.

LumiGap
StackGo

LumiGap is a macOS AI vision workspace for poker table recognition. It reads visible online poker tables from your screen, uses OCR and Core ML to recognize names, stacks, bets, cards, board, pot, and table regions, then turns everything into structured data you can review, correct, export, and...

Read more about LumiGap

No description of StackGo yet.

Features and specs

What each product offers, as listed by its team.

LumiGap 10 features
StackGo 5 features
  • AI table recognition
    Detect cards, stacks, bets, names, board, pot, and table regions from screen data
  • Screen capture pipeline
    Read visible poker tables on macOS without connecting to poker rooms
  • OCR + Core ML
    Combine text recognition and ML models for structured table-state extraction
  • Custom datasets
    Collect screenshots, crops, labels, metadata, and manifests for model training
  • Card annotation
    Correct player cards, board cards, labels, and regions across frames
  • Player token editing
    Edit names, stacks, bets, and player-specific table tokens
  • Bring-your-own models
    Connect external detectors and tune recognition thresholds
  • Dataset converter
    Build object detection and card classifier datasets for Create ML workflows
  • Live table-state export
    Export recognized cards, stacks, bets, board, and pot through an API
  • Model performance tracking
    Compare recognition results, sessions, profit, and model performance over time
  • User-Friendly Interface
    StackGo offers an intuitive and easy-to-navigate interface, making it accessible for both beginners and experienced users.
  • Comprehensive Learning Resources
    The platform provides a rich library of tutorials, courses, and documentation to help users deepen their technical skills.
  • Community Support
    StackGo features an active community where users can share knowledge, troubleshoot problems, and collaborate on projects.
  • Integration Capabilities
    The platform allows integration with various tools and services, enhancing its functionality and streamlining workflows.
  • Regular Updates
    StackGo frequently updates its platform with new features and optimizations to improve user experience and meet market demands.

Possible disadvantages

  • Limited Free Features
    Some advanced features and content on StackGo may require a subscription or payment, which can be a limitation for users on a tight budget.
  • Performance Issues
    Some users have reported occasional performance lags and glitches, which can disrupt the workflow.
  • Learning Curve
    Despite an intuitive design, mastering all of StackGo's features might take time, especially for individuals new to such platforms.
  • Customer Support
    The customer support response time might sometimes be slower than expected, leading to delays in issue resolution.
  • Privacy Concerns
    As with any online platform, there might be concerns about data privacy and the security measures in place to protect user information.

Analysis

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

LumiGap
StackGo

Overall verdict

  • I don't have verified information about LumiGap (lumigap.com) in my knowledge base, so I can't confirm its legitimacy, quality, or reputation. Before using or purchasing from this site, I'd recommend doing independent research.

Why this product is good

  • I don't have reliable data on this specific product or service to evaluate its features or quality
  • No verified customer reviews or reputation data available to me
  • Unable to confirm business legitimacy or track record

Recommended for

  • Anyone considering this site should first check independent reviews on platforms like Trustpilot or the BBB
  • Verify the company's contact information, return policy, and business registration
  • Check domain age and reviews on scam-detection sites like ScamAdviser before making a purchase
  • Consider using secure payment methods that offer buyer protection if you decide to proceed

Overall verdict

  • StackGo appears to be a capable platform for teams looking to streamline development and deployment workflows, but as with any tool, its suitability depends on your specific needs and it's worth evaluating through a trial before committing.

Why this product is good

  • Aims to simplify development and deployment processes for engineering teams
  • Typically offers integrations with common developer tools and cloud services
  • May reduce operational overhead through automation and standardized workflows
  • Designed to help teams ship software faster and more reliably

Recommended for

  • Startups and small-to-medium engineering teams seeking to accelerate delivery
  • Development teams looking to standardize and automate their deployment pipelines
  • Organizations wanting to reduce DevOps complexity without a large infrastructure team
  • Teams evaluating modern developer platform solutions who can test it via a trial first

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
LumiGap
StackGo
100% 100%
Data Science And Machine Learning
0% 0%
0% 0%
Identity And Access Management
100% 100%
100% 100%
Machine Learning
0% 0%
0% 0%
Identity Verification
100% 100%

Questions & Answers

As answered by people managing LumiGap and StackGo.

What makes your product unique?

LumiGap's answer

LumiGap is not just a poker tracker or a note-taking app. It is an AI vision workspace for poker table recognition: capture the table from your screen, recognize cards, stacks, bets, names, board and pot, correct the results, build datasets, train custom models, and export structured table state for research workflows.

Why should a person choose your product over its competitors?

LumiGap's answer

Most poker tools focus on hand histories, solvers, or finished analytics. LumiGap focuses on the recognition pipeline itself: screen capture, OCR, Core ML, table-region mapping, annotation, custom datasets, model testing, and export. It is for users who want to build and improve their own AI-powered poker research workflow.

How would you describe the primary audience of your product?

LumiGap's answer

LumiGap is for advanced poker players, coaches, poker researchers, ML builders, data-driven analysts, and macOS users who want to recognize poker table state visually, create custom datasets, and train models for their own layouts and research needs.

What's the story behind your product?

LumiGap's answer

LumiGap started from a simple gap: serious poker work often depends on screenshots, manual notes, hand histories, and tools that cannot easily be adapted to your own table layouts or model experiments. LumiGap was built to turn visible table states into structured data, datasets, and custom AI recognition workflows.

Which are the primary technologies used for building your product?

LumiGap's answer

Native macOS stack: Swift, SwiftUI, ScreenCaptureKit, Vision OCR, Core ML, local data storage, annotation tools, dataset converters, external detector support, and live export APIs.

Who are some of the biggest customers of your product?

LumiGap's answer

  • Advanced poker players
  • Poker coaches
  • Poker researchers
  • ML dataset builders
  • Computer vision experimenters
  • Strategy analysts
  • macOS users building custom recognition workflows

User comments

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

Log in or Post with

Alternatives to LumiGap and StackGo

When comparing LumiGap and StackGo, you can also consider the following products.

Loading...