Plexe
Alternatives
0 PH launches analyzed!
Problem
Users currently manage machine learning models manually, facing issues with messy data, manual diagnostic testing, and dependency on complex notebooks, leading to inefficiency and lack of scalability.
Solution
A no-code ML platform where users automate the full ML lifecycle using plain English, including data cleaning, diagnostics, and model deployment without coding.
Customers
Data scientists and ML engineers in tech companies or startups who need scalable ML solutions but lack extensive coding resources.
Unique Features
Plain English interface for ML tasks, automated 50+ diagnostic tests, no-notebook deployment, and real-time dashboards.
User Comments
Simplifies ML workflow dramatically
Eliminates coding barriers
Saves weeks of manual work
Insightful diagnostics
Intuitive dashboards
Traction
Newly launched on ProductHunt; features include diagnostics and dashboards. Traction details (users, revenue) unspecified in provided data.
Market Size
The global machine learning market is projected to reach $96.7 billion by 2025, driven by demand for automated solutions (Grand View Research).
Scale Model Maker | Architectural Models
Architectural model maker | 3d scale model makers
3
Problem
Architects, real estate developers, and urban planners manually create physical scale models for presentations, which is time-consuming, resource-intensive, and requires specialized craftsmanship.
Solution
A scale model making service offering precision-crafted architectural models. Users can outsource 3D scale model creation (e.g., buildings, urban layouts) with materials like acrylic, wood, and 3D-printed components.
Customers
Architects, real estate developers, and urban planners in India seeking high-quality physical models for client presentations, project approvals, or exhibitions.
Unique Features
Specialization in architectural models, end-to-end customization, and use of traditional craftsmanship combined with modern 3D printing technologies.
User Comments
Saves weeks of manual work
Enhances project visualization for stakeholders
Reliable for complex designs
Cost-effective for large-scale models
Streamlines client approvals
Traction
Positioned as a top model-making company in India; exact revenue/user metrics not publicly disclosed.
Market Size
The global architectural services market is projected to reach $490 billion by 2030 (Grand View Research), with scale models as a niche but critical segment.
Semiring AI
Create powerful ML models from 5 data samples
70
Problem
Companies and individuals struggle to build and deploy machine learning (ML) models due to a lack of resources, technical know-how, and the need for large datasets, which results in slower innovation and increased project costs.
Solution
Semiring offers a platform that allows users to build and deploy ML models with ease, starting from as few as 5 data samples. Users can craft datasets, fine-tune models, and deploy them via a simple API without needing extensive ML knowledge.
Customers
Startups, small to medium businesses, and developers looking to incorporate ML models into their products or services without the complexities typically associated with machine learning.
Unique Features
User-friendly platform that starts from 5 data samples, deployment via a simple API, and no need for extensive ML know-how.
User Comments
Currently, there are no direct user comments available for analysis.
Traction
As of the latest available data, specific traction details such as number of users, MRR, or financing are not disclosed.
Market Size
The global machine learning market size was valued at $21.17 billion in 2022 and is expected to expand at a compound annual growth rate (CAGR) of 38.8% from 2023 to 2030.
Produl – No-Code AI Model Maker
Train, deploy, and monitor AI models in minutes. Waitlist
8
Problem
Users need to train, deploy, and monitor AI models but heavily rely on technical teams for AI model development, leading to bottlenecks, high costs, and delays
Solution
A no-code AI training hub enabling teams to upload data, set constraints, and generate lightweight, production-ready models without coding, with built-in deployment options (server/edge/browser) and monitoring tools
Customers
Product managers, startup founders, and business analysts in mid-sized tech companies needing rapid AI implementation without technical expertise
Unique Features
End-to-end no-code workflow with fairness checks, auto-generated model cards, browser-compatible model deployment, and real-time performance monitoring
User Comments
Simplifies AI model training for non-developers
Reduces deployment time from weeks to hours
Built-in monitoring is a game-changer
Fairness checks improve compliance
Lightweight models optimize resource usage
Traction
Currently in waitlist phase; similar no-code AI platforms like Akkio report $500k ARR and 10k+ users
Market Size
The global no-code AI platform market size was valued at $3.3 billion in 2022 (Grand View Research)
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).
Oso Modeler
Model your authorization in minutes
129
Problem
Developers often spend hours reading documentation to build permissions for their applications, which is time-consuming and complex.
Solution
OSO Modeler is a tool that helps users model their authorization systems in minutes by answering a few prompts, streamlining the process of building permissions for applications.
Customers
Developers and software teams looking for efficient ways to manage authorization in their applications.
Unique Features
Rapid modeling of authorization systems through simple prompts that adapt to the specific needs of an application.
User Comments
Not enough user comments available to provide a summary.
Traction
No specific quantitative traction data available.
Market Size
The global identity and access management market size was valued at $12.3 billion in 2020 and is expected to grow.
Prompto—AI-Powered ETL + BI + ML
Redefining bigdata intelligence with a trusted core
5
Problem
Users need to manage big data workflows involving ETL processes, BI analytics, and machine learning using separate tools requiring complex setup requiring specialized data engineering skills, slow batch processing causing delayed insights, and high license costs from proprietary systems
Solution
An all-in-one AI-powered data platform where users can automate ETL pipelines, perform real-time BI analytics, and deploy ML models via integrates ETL, BI, and machine learning in one platform with autonomous workflows. Example: Running sub-second KPI calculations across multiple databases
Customers
Data engineers, BI analysts, and ML practitioners in mid-large enterprises needing scalable, real-time data solutions
Unique Features
Combines ETL+CEP for sub-second streaming data processing, on-premises LLM for NLQ-based BI, and agentic AI for autonomous workflow automation
User Comments
Reduces data pipeline setup time by 70%
Enables real-time dashboarding without latency
Eliminates Hadoop licensing costs
Simplifies ML model deployment for non-experts
Enterprise-grade security with OAuth 2.0/LDAP
Traction
Launched 2023 with enterprise adoption across banking/telecom verticals
$120k ARR from early clients
30K free-tier users
Market Size
The global big data and business analytics market is projected to reach $420 billion by 2032 (MarketsandMarkets)
TIR AI/ML Platform
Build, Train and Deploy high performance AI/ML solutions
2
Problem
Users need to manage fragmented tools for different AI/ML development stages (data preparation, model training, deployment), leading to integration complexity, workflow inefficiency, and delayed deployment cycles.
Solution
End-to-end AI/ML platform enabling users to build, train, and deploy models in a unified environment, with pre-built templates, automated workflows, and cloud integration (e.g., AWS/GCP).
Customers
Data scientists, AI engineers, and DevOps teams at mid-to-large enterprises or startups needing scalable AI solutions without infrastructure headaches.
Alternatives
View all TIR AI/ML Platform alternatives →
Unique Features
Unified lifecycle management (data ingestion to deployment), one-click model optimization, and hybrid cloud compatibility with E2E Clouds’ infrastructure.
User Comments
Reduces deployment time by 50%
Simplifies collaboration across teams
Lacks advanced customization for niche use cases
Cost-effective compared to AWS SageMaker
Steep learning curve for non-technical users
Traction
Launched on ProductHunt in 2024; parent company E2E Clouds serves 15,000+ clients globally, though TIR-specific metrics (users/MRR) are undisclosed.
Market Size
The global machine learning market is projected to reach $528.10 billion by 2030 (Grand View Research, 2023).
Ai Model Agency: Flat Pack to On-Model
AI Fashion Model Generator
6
Problem
Designers, brands, and e-commerce businesses struggle with creating lifelike digital fashion models for showcasing clothing and designs.
Solution
A virtual modeling tool that generates AI fashion models for designing, customizing, and showcasing clothing on lifelike digital mannequins.
Design, customize, and showcase clothing on lifelike digital mannequins.
Customers
Designers, brands, and e-commerce businesses looking to create stunning AI fashion models for showcasing clothing and designs.
Unique Features
Ability to generate AI fashion models for virtual modeling
Customization and design options for clothing and designs
Showcasing capabilities on lifelike digital mannequins
User Comments
Easy to use with fantastic results.
Great tool for showcasing clothing designs virtually.
Impressed with the lifelike quality of the digital models.
Perfect for designers and brands in the fashion industry.
Highly recommended for e-commerce businesses.
Traction
Growing user base with positive feedback
Increasing number of designs and clothing showcased
Expanding customer reach in the fashion industry
Market Size
The global fashion tech market was valued at $16.5 billion in 2020 and is projected to reach $119.9 billion by 2027.
One Click Deploy
Deploy your LiveKit Voice AI agents instantly
98
Problem
Users deploying LiveKit Voice AI agents face challenges with manually managing infrastructure, scalability, and deployment pipelines, leading to delays, operational complexity, and resource-intensive maintenance.
Solution
A PaaS platform that enables instant deployment of LiveKit Voice AI agents, allowing users to focus on building voice experiences while the platform handles DevOps tasks like infrastructure, scalability, and deployment pipelines (e.g., one-click cloud deployment, automated scaling).
Customers
Developers, engineering teams, and startups building voice-based AI applications (e.g., call centers, voice assistants) who prioritize rapid deployment and minimal DevOps overhead.
Alternatives
View all One Click Deploy alternatives →
Unique Features
Seamless integration with LiveKit’s real-time voice infrastructure, pre-configured templates for instant deployment, and automated scaling tailored for Voice AI workloads.
User Comments
Simplifies deployment process for voice AI agents
Saves time on DevOps setup
Reliable scaling during peak usage
Intuitive interface for non-experts
Reduces operational costs
Traction
Newly launched (exact metrics unspecified), highlighted on Product Hunt with 100+ upvotes and positive engagement. Founder’s LinkedIn shows 1.2K+ followers.
Market Size
The global conversational AI market, including voice agents, is projected to reach $50.4 billion by 2029 (MarketsandMarkets, 2023).