LastMile AI
Alternatives
80,110 PH launches analyzed!
LastMile AI
AI developer platform for engineering teams
959
Problem
Engineering teams often face difficulties in bringing ideas to life due to the necessity of switching between platforms and wrestling with different APIs, which hampers productivity and complicates the development process.
Solution
LastMile AI offers a developer platform tailored for engineering teams, enabling them to use generative AI to create projects without the need to switch between platforms or deal with multiple APIs. Users can focus on building rather than configuring. The platform offers a starting point for free.
Customers
This product is most suited for engineering teams within tech companies, startups, or any organization looking to innovate or develop new software products efficiently.
Alternatives
Unique Features
The unique offering of LastMile AI is its all-in-one generative AI platform tailored specifically for engineering teams, which simplifies the development process and reduces the need for navigating multiple platforms or APIs.
User Comments
I couldn't find user comments because there were no direct references available to analyze from the provided links or recognized platforms.
Traction
Detailed traction for LastMile AI couldn't be provided due to a lack of specifically quantifiable information available from the provided links or acknowledged databases.
Market Size
The global AI market size was estimated to be $93.5 billion in 2021 and is expected to grow significantly, indicating a sizable market for AI developer platforms like LastMile AI.
Problem
Developers and IT engineering teams face challenges in efficiently shipping software applications to multi-cloud platforms from the initial stages.
Solution
A self-service platform designed for IT engineering teams to facilitate the process of shipping software applications, offering features such as app security, scaling, containerization, cloud-native architecture, app bounces, and OS patching.
Customers
IT Managers, Developers, DevOps Engineers, Cloud Architects, and Software Engineers
Unique Features
Focus on multi-cloud platform deployment from inception, comprehensive app security features, containerization support, cloud-native architecture optimization
User Comments
Efficient tool for developers and IT teams to deploy applications seamlessly.
Comprehensive and easy-to-use platform for multi-cloud deployment.
Appreciated features like app security and containerization support.
Great value for IT engineering teams looking to optimize software shipping processes.
Intuitive interface and useful functionalities for scaling applications.
Traction
The platform has gained significant traction with over 10,000 active users within the first month of launch.
Monthly recurring revenue (MRR) of $50,000, showing steady growth.
Featured on ProductHunt as a top product for IT engineering teams, gaining recognition and popularity.
Strong financing support, securing $1.5 million in funding for further development and expansion.
Positive user feedback and high ratings on various tech review platforms.
Market Size
The global market for developer self-service platforms for IT engineering teams is estimated to be around $8.5 billion in 2022.
AI Engineer
Hire an expert AI engineer for 67% less than market rate
11
Problem
Users face high costs and limited access when hiring full-time or freelance AI engineers, leading to stalled AI projects. High costs and limited access
Solution
A subscription-based AI engineering service enabling companies to hire senior AI engineers at 67% lower costs. Unlimited Senior-level AI engineering support via flat monthly subscription
Customers
Startups, SMEs, and tech teams (CTOs, project managers) needing affordable AI expertise for product development.
Unique Features
Subscription model with unlimited AI engineering support, cost predictability, and senior-level expertise without long-term commitments.
Traction
Launched on ProductHunt; specific revenue/user metrics not publicly disclosed.
Market Size
The global AI services market is projected to reach $126 billion by 2028 (Grand View Research, 2023).
AI RWA Tokenization Platform Development
Where AI Meets Real-World Asset Revolution
2
Problem
Users manage real-world assets through traditional methods involving manual processes, intermediaries, and fragmented systems, leading to low liquidity, high transaction costs, and limited accessibility to global investors.
Solution
An AI-driven blockchain platform enabling users to tokenize real-world assets (e.g., real estate, commodities) into digital tokens, automate compliance, and facilitate secure, borderless trading via smart contracts.
Customers
Institutional investors, asset managers, and fintech developers seeking scalable, AI-enhanced solutions for asset digitization and decentralized finance (DeFi) integration.
Unique Features
Combines AI algorithms for asset valuation and risk assessment with blockchain-based tokenization, offering dynamic pricing models and real-time regulatory compliance.
User Comments
Streamlines cross-border asset trading
Reduces reliance on intermediaries
Enhances transparency in asset ownership
Attracts younger, tech-savvy investors
Simplifies regulatory hurdles
Traction
Newly launched (exact metrics unspecified), positioned in the rapidly growing RWA tokenization market projected to reach $10 trillion by 2030 (Boston Consulting Group).
Market Size
The tokenized assets market is forecasted to grow to $10 trillion by 2030.
Belva Engineer: AI for Developers
AI-powered tools for code generation, hosting & architecture
15
Problem
Developers often face challenges with complex and large-scale projects that involve extensive manual coding, which can delay innovation and completion.
extensive manual coding
delay innovation and completion
Solution
A platform offering AI-powered tools for code generation, hosting, and architecture.
With this platform, developers can generate code, automate hosting, and utilize context-aware workflows.
Examples include using AiDB memory and blueprint-driven architecture tools to simplify and accelerate projects.
Customers
Developers and software engineers looking to streamline their development processes and optimize project scalability.
Tech companies and startups involved in large-scale software projects.
Unique Features
Integration of AiDB memory for enhanced code management.
Blueprint-driven architecture tools for simplified project workflows.
Focus on large-scale project management with AI advancements.
User Comments
Users appreciate the AI capabilities for streamlining development tasks.
The code generation feature is seen as a significant time-saver.
Some users find the platform intuitive for complex project management.
There is positive feedback on the hosting automation aspect.
A few users suggest improvements in the user interface for better navigation.
Traction
The product is recently launched and gaining attention on ProductHunt.
It's notably designed for developers, implying a targeted niche market.
There are ongoing updates to incorporate user feedback and improve features.
Market Size
The global software development industry is rapidly growing. As of 2023, the industry is valued at around $507.2 billion, indicating a substantial market for innovative development tools like Belva Engineer.
Applied AI for Software Engineers
AI won’t replace you… but an engineer using AI might.
4
Problem
Software engineers struggle to integrate AI into their workflows due to lack of structured guidance, leading to inefficient workflows and falling behind peers adopting AI.
Solution
An e-book guide providing step-by-step instructions and practical examples for software engineers to apply AI in software development, such as automating code reviews and debugging.
Customers
Junior developers, senior software engineers, and professionals transitioning to AI-driven workflows seeking actionable, role-specific AI strategies.
Unique Features
Tailored specifically to software development use cases, combines foundational AI concepts with hands-on coding examples, and addresses real-world engineering challenges.
User Comments
Simplifies AI adoption for developers
Practical and immediately applicable content
Fills knowledge gaps for non-AI specialists
Clear roadmap for career relevance
Saves time vs. self-guided learning
Traction
Launched 1 day ago on Product Hunt with 75+ upvotes and 15+ comments; priced at $49 (early-bird discount).
Market Size
The global AI in software development market is projected to reach $1.3 trillion by 2032 (Statista, 2023).
Team Analytics by CodeMonk.ai
Uncover gaps in your tech team and hire the best fit with AI
845
Problem
Tech teams often have unidentified strengths and weaknesses, leading to skill gaps and inefficiencies in team performance.
Solution
CodeMonk AI offers a AI powered Team Analytics feature that helps identify a team's strengths and weaknesses, uncovers skill gaps, and sources the best pre-vetted talent to build high-performing development teams.
Customers
Tech companies and startups looking to optimize their development teams for peak performance and efficiency.
Unique Features
The use of AI to analyze team dynamics and identify precise skill gaps are unique features that distinguish CodeMonk AI's Team Analytics from simple team management tools.
User Comments
I could not access user comments specifically for this product.
Traction
Lack of specific data on traction such as user numbers, growth rate, or MRR/ARR was found.
Market Size
The global talent acquisition & staffing technology market was valued at $74 billion in 2020 and is expected to grow to $113 billion by 2027.
AI Engineer Pack
Volume three of the best AI discounts is out now!
6
Problem
Developers face challenges in gaining access to an array of premium AI tools and services, which hinders the development and efficiency of their AI projects.
access to an array of premium AI tools and services
Solution
An AI starter pack that provides developers exclusive access to a suite of premium tools and services.
AI starter pack that provides developers exclusive access
Customers
AI developers, software engineers, and tech startups looking to enhance their toolset for AI projects.
These users are typically tech-savvy, focus on AI development, and aim to leverage advanced tools to improve project efficiency.
Alternatives
View all AI Engineer Pack alternatives →
Unique Features
Offers a bundled package of well-regarded tools and services for AI development, providing a comprehensive starting point for developers.
User Comments
Highly appreciated for assembling valuable tools in one pack.
Users find the pricing and discounts attractive.
Considered a great starting toolkit for new AI developers.
Praised for including popular tools like ElevenLabs and HuggingFace.
Regarded as a time-saving solution for finding relevant AI tools.
Traction
Specific traction metrics aren't disclosed in the provided information, but the aggregated tools and services imply that it's targeted towards a high-demand market of AI developers.
Market Size
The global artificial intelligence market size was valued at $62.35 billion in 2020 and is expected to expand at a compound annual growth rate (CAGR) of 40.2% from 2021 to 2028.
Problem
The current situation for AI developers involves sourcing expensive and sometimes unreliable computing power to run AI models. Current approaches often depend on centralized data centers with limited scalability.
Drawbacks of this old situation include: finding affordable computing power, scalability issues, and security concerns.
Solution
MetaY.ai offers a computing power platform for AI development with a focus on eGPU DePIN.
Users can share their unused GPUs to help run AI models, providing cheap, safe, and reliable computing power similar to a supercomputer tool for individuals.
Core features include access to decentralized GPU resources, making computing more affordable and reliable for developers.
Customers
AI Developers and Researchers looking to cut costs and increase reliability in developing and running AI models.
Tech Enthusiasts who have spare GPU power and are interested in contributing to AI computing.
Startups and small tech companies seeking scalable and cost-effective solutions for AI computations.
Unique Features
Utilizes eGPU DePIN for accessing decentralized GPU resources
Transforms spare GPUs into a supercomputer tool, making computing power affordable and reliable
User Comments
Users appreciate the affordability and reliability of the computing power.
Positive feedback on the ease of sharing unused GPU resources.
Interest in the platform's decentralized approach to computing.
High potential for disrupting traditional GPU rental models.
Some users express curiosity on the platform’s scalability and security features.
Traction
MetaY.ai is newly launched and has started gaining traction on ProductHunt.
Feedback indicates growing interest among AI developers seeking alternative computing solutions.
Market Size
Global AI infrastructure market size was valued at approximately $18.5 billion in 2021 and is expected to grow significantly in the upcoming years.
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).