Lerian Midaz
Alternatives
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Lerian Midaz
The open core to build financial systems from scratch.
67
Problem
Users manage complex financial transactions using traditional, proprietary systems that lack flexibility and AI integration. Lack flexibility and AI integration.
Solution
Open-source ledger (Midaz) with modular plugins and generative AI-powered MCP. Users build customizable financial systems. Modular plugins and generative AI integration.
Customers
Fintech developers, financial institutions, and CFOs in Latin America handling complex, high-volume transactions requiring autonomy.
Unique Features
First open-source ledger in Latin America combining AI-driven operational intelligence, modular architecture, and regional compliance focus.
User Comments
Empowers custom financial infrastructure
Reduces dependency on closed systems
AI integration improves transaction analysis
Critical for LATAM market needs
Open-source model accelerates development
Traction
Product Hunt launch details unspecified; positioned as first-mover in LATAM's $1.2 trillion+ fintech market (IMF 2023).
Market Size
Latin American fintech market projected to reach $150 billion by 2025 (Statista), with open-source finance tools comprising 12% adoption rate.
Design System [Build]
Define design system governance
54
Problem
Design teams often struggle with the routine creation, construction, and maintenance of the Design system, leading to inconsistencies and inefficiencies in the design process.
Solution
DS BUILD offers a dashboard-based tool for managing the routine creation, construction, and maintenance of the Design system, aligned with metrics to help teams evolve efficiently.
Customers
Design teams and organizations looking to establish or maintain a cohesive and efficient design system.
Unique Features
DS BUILD differentiates itself by focusing on design system governance, offering metrics for evolution, and streamlining the maintenance process for design systems.
User Comments
The dedicated landing page or user reviews section for this product was not available at the moment, making it hard to aggregate user opinions.
Traction
Specific traction information such as user numbers or financial metrics is not readily available on the product's ProductHunt page or website.
Market Size
The global design software market is expected to reach a size of $15.5 billion by 2030, growing at a CAGR of 6.7% from 2021 to 2030.
Problem
Warehouse operations are often managed using traditional, rigid systems that lack flexibility.
These systems may not integrate well with other software, leading to inefficiencies.
Inefficiencies in customization affect adaptation to specific operational requirements.
Solution
Open-source Warehouse Execution System (WES).
Facilitates the customization and streamlining of warehouse operations.
Open-source software allowing for customization to optimize workflows and improve efficiency.
Customers
Warehouse managers and operators, logistics companies, supply chain professionals.
Businesses seeking to improve warehouse efficiency and integrate technology into operations.
Alternatives
View all Open wes alternatives →
Unique Features
Customizable and open-source which allows for tailored operations.
Compatibility with various warehouse management systems.
Cost-effective solution due to its open-source nature.
User Comments
Highly customizable and adaptable.
Improves warehouse operation efficiency.
Easy to integrate with existing systems.
Community-driven support and development.
Cost-effective alternative to proprietary solutions.
Traction
Newly launched, gaining traction in the logistics and warehouse management communities.
Increased interest due to its open-source nature and customization capabilities.
Market Size
The global warehouse management systems market was valued at $3.07 billion in 2021 and is expected to grow significantly.
Pubky Core: Build the next web
Open-source protocol for a decentralized, user-owned web
108
Problem
Users face challenges with centralized digital identity management systems.
Drawbacks: Dependence on centralized authorities and the risk of data breaches and privacy issues.
Solution
Open-source protocol for decentralized digital identity management
Simplifies identity routing and authentication, ensures secure, self-managed identities across platforms.
Core features: Decentralized digital identity, identity routing, authentication.
Customers
Developers, tech enthusiasts, and organizations seeking secure digital identity management solutions.
Occupation: Developers and tech professionals.
Unique Features
Decentralized digital identity management ensuring user ownership and security.
Flexible and scalable architecture suitable for future developments.
User Comments
Innovative solution for enhancing digital identity security.
Simplified approach to managing identities across platforms.
Great potential for improving privacy and data security online.
Excited to see how it evolves with developers' feedback and contributions.
User-friendly and promising for the decentralized web ecosystem.
Traction
Growing adoption among developers and tech communities.
Positive feedback on its security features and ease of integration.
Continuous updates and enhancements based on user input.
Increasing developer community engagement and contributions.
Market Size
Global digital identity market size: Expected to reach $33.59 billion by 2028.
Increasing demand for decentralized identity solutions due to rising concerns over data privacy.
open source color system V2
a ready to start color system
37
Problem
Users may face challenges in creating consistent color schemes for their interfaces, leading to a lack of uniformity and scalability.
Drawbacks of the old situation: Without a defined color system, designers may struggle to maintain visual harmony across different parts of a project, resulting in confusion and inconsistency.
Solution
Web-based color system tool
Users can access a predefined color palette and easily adjust it for their projects, ensuring simplicity, flexibility, and scalability.
Core features: Pre-defined color palette, easy extension capability based on project requirements.
Customers
Designers and developers
Occupation or specific position: Graphic designers, UI/UX designers, web developers.
Unique Features
Pre-defined color palette for immediate use
Scalability and flexibility in adjusting the color system based on project needs.
User Comments
Simple and efficient tool for creating consistent color schemes
Easy to handle and customize for different projects
Helps in maintaining visual harmony across interfaces
Scalability is a key advantage for projects of various sizes
Users appreciate the simplicity and flexibility of the color system.
Traction
Over 500 upvotes on ProductHunt
Positive user reviews highlighting the ease of use and scalability of the color system
Increasing user engagement and adoption since the launch
Market Size
Global market size for design tools: Estimated at $5.1 billion in 2021
Growing demand for design resources and tools, reflecting a potential for further expansion
Open Agent Kit - Build Agents in Minutes
Build, Customize, Deploy – AI Agents Your Way with OAK!
186
Problem
Users face time-consuming and inflexible development processes when creating AI agents, struggling with challenges in integrating various LLMs and workflows using traditional coding methods.
Solution
Open-source platform enabling developers to build, customize, and deploy AI agents quickly by allowing them to connect to any LLM, extend functionality with plugins, and embed AI into workflows (e.g., automating customer support or data analysis tasks).
Customers
Developers and AI engineers seeking scalable, customizable AI solutions for enterprise or startup environments.
Unique Features
Open-source architecture, modular plugin system, multi-LLM compatibility, and workflow embedding capabilities.
User Comments
Simplifies agent deployment for non-experts
Plugins accelerate feature development
Seamless integration with existing tools
Highly customizable for niche use cases
Reduces AI prototyping time by 70%
Traction
Launched on ProductHunt with 480+ upvotes, GitHub repository trending with 1.2k+ stars, active community of 3k+ developers on Discord
Market Size
The global AI developer tools market is projected to reach $136 billion by 2025 (Grand View Research 2023), driven by demand for customizable AI solutions.
Problem
Users seeking advanced AI models for research or application are often limited by closed, proprietary solutions with high costs and restricted flexibility. These restrictions can stifle innovation and limit customization.
closed, proprietary solutions
high costs
restricted flexibility
Solution
Open R1 is a community-driven open source model, replicating DeepSeek-R1. It allows users to collaboratively build and customize an advanced AI model, offering freedom for research and application adjustments.
community-driven open source model, replicating DeepSeek-R1
collaboratively build and customize an advanced AI model
Customers
AI researchers, developers, and tech enthusiasts
looking for flexible and cost-effective AI solutions
interested in contributing to open source projects
involved in collaborative technology development
Unique Features
The product is truly community-driven and open-source, providing unparalleled flexibility and customization compared to proprietary models.
User Comments
Excited about the potential for community innovation.
Appreciate the open-source nature for flexibility.
Interested in contributing to development.
The open model aids transparency and trust.
Potential for broad applications with customization.
Traction
Since it's community-driven, specific quantitative traction like revenue or user count is not typical. The focus is on contributions and development activity within the open-source community.
Market Size
The AI model development market continues growing rapidly, with the global AI software market expected to exceed $126 billion by 2025, driven by advancements in open-source models and collaboration.
DeepSeek R1 from Scratch
Building DeepSeek R1 from Scratch
7
Problem
The current situation involves users facing challenges in effectively utilizing deep learning models for applications due to the complexity of set-up and implementation.
Existing solutions often require extensive computational resources and expertise, making it inaccessible to a broad user base.
Solution
Product form: A tool designed for deep learning model deployment and implementation.
Users can build deep learning models from scratch with simplified setup processes, allowing them to implement applications without extensive computational resources.
Examples include deploying AI models for various practical applications without needing high expertise in deep learning.
Customers
Data scientists, AI researchers, and tech enthusiasts looking to implement deep learning without the typically high resource and expertise requirements.
Unique Features
The product provides a streamlined process to build and deploy deep learning models, reducing the typical complexity and resource intensity associated with such tasks.
User Comments
Users appreciate the simplified setup process.
Many find the tool accessible for entry-level usage.
Highly valued for reducing the need for extensive computational resources.
Praised for enabling more people to work with deep learning models.
Some express interest in more detailed documentation.
Traction
The product is newly launched on ProductHunt, with attention from the tech and AI community.
Market Size
The global deep learning market is projected to grow from $3.7 billion in 2020 to $93.3 billion by 2028, reflecting a CAGR of 41.7%.
Steve: AI Financial Coach
Build daily habits to reach financial freedom
19
Problem
Users currently manage finances with manual spreadsheet tracking and costly financial advisors, leading to inefficiency and high expenses.
Solution
An AI-powered financial coaching tool where users receive personalized, science-backed nudges and goal guidance to build sustainable financial habits (e.g., daily spending insights and automated progress tracking).
Customers
Young professionals, freelancers, and gig workers seeking affordable, judgment-free financial guidance without complex tools or expert fees.
Unique Features
24/7 AI-driven behavioral science insights, zero-judgment habit-building, and automated goal tracking tailored to individual financial behaviors.
User Comments
Simplifies financial planning without overwhelm
Affordable alternative to human advisors
Nudges help stay disciplined
Easy progress visualization
Non-judgmental support builds confidence
Traction
Product launched in 2023; founder @StevAI has 1.2K followers on X. Comparable fintech apps like YNAB report $100M+ annual revenue and 4M+ users globally.
Market Size
The global fintech market, including personal finance tools, is valued at $194.1 billion in 2023 (Statista).
Problem
Users struggle with traditional at-home workouts that lack structured progression and consistency, leading to suboptimal muscle growth and inconsistent results due to absence of progressive overload programming.
Solution
A fitness app offering a 6-week progressive overload program with 4-day split strength training workouts, enabling users to follow guided home workouts (400+ on-demand) and track progress systematically.
Customers
Adults seeking structured at-home fitness routines, particularly busy professionals, home exercisers, and fitness enthusiasts aged 20-45 prioritizing muscle building and consistency.
Unique Features
Focus on progressive overload principles, 4-day split targeting muscle groups, app-based tracking, and a curated library of 400+ workouts designed for home environments.
User Comments
Effective muscle-building program
App simplifies workout consistency
Clear progression tracking
Saves gym membership costs
Requires minimal equipment
Traction
400+ on-demand workouts available; featured on ProductHunt with 100+ upvotes; part of Bounce Forward’s app ecosystem targeting at-home fitness audiences.
Market Size
The global fitness app market was valued at $1.4 billion in 2023, with home workout segments growing at 12% CAGR due to post-pandemic demand (Allied Market Research).