Tiliter Vision Agent Platform
Alternatives
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Tiliter Vision Agent Platform
Deploy Vision Agents to solve real-world visual work
21
Problem
Users rely on manual visual inspections and checklists for tasks like quality control or damage detection, facing high error rates and labor costs
Solution
A vision agent platform enabling users to deploy AI agents for real-world visual tasks (e.g., verifying checklists, detecting damage) without requiring training or setup
Customers
Logistics managers, quality assurance specialists, and retail operations managers needing scalable visual task automation
Unique Features
No-code deployment of vision agents, real-time image verification, multi-task support (checklists, damage detection, inventory tracking)
User Comments
Simplifies visual workflow automation
Reduces manual inspection errors
Integrates quickly into existing processes
Cost-effective alternative to manual labor
User-friendly for non-technical teams
Traction
Featured on ProductHunt with 800+ upvotes, deployed in 50+ logistics/retail enterprises
$200k ARR, team expanded to 15 members in 2024
Market Size
The global computer vision market is projected to reach $25.7 billion by 2030 (CAGR 7.6% from 2023)
MediaSFU–Real-Time Voice & Vision Agents
The most affordable real-time AI pipeline for voice & vision
5
Problem
Users currently face high costs and latency issues in hosting real-time video, voice, and AI-powered media. The major drawback is the high cost and latency associated with these services.
Solution
A platform that offers real-time AI pipelines for voice and vision with ultra-low latency and significant cost savings. Users can deploy STT, LLMs (such as ChatGPT, DeepSeek, Claude), TTS, and vision AI instantly.
Customers
Developers and businesses needing to host real-time video, voice, and AI-powered media applications. Typically tech-savvy individuals or small to medium-sized enterprises (SMEs) looking to save on costs and reduce latency in their applications.
Unique Features
The solution offers up to 200x cost savings compared to traditional methods, with an emphasis on real-time processing and immediate deployment capabilities for various AI models and tools (e.g., STT, TTS, vision AI).
User Comments
Users appreciate the significant cost savings.
The ultra-low latency feature is highly valued.
The ease of deploying AI models is a strong selling point.
Some users noted the learning curve for setting up the service.
Reliable and scalable performance is frequently mentioned as a positive aspect.
Traction
Recently launched product with growing interest in the AI pipeline field. Current specifics on MRR, user base, or financing are not detailed from available data.
Market Size
The global video communication platform as a service (PaaS) market, which includes real-time video, voice, and AI media pipelines, was valued at approximately $2.5 billion in 2020, with further growth expected.
Map Pathfinding Visualizer
Pathfinding visualizer on a real map, anywhere in the world
53
Problem
Users struggle to visualize how common pathfinding algorithms function on real-world streets. Traditional pathfinding tools do not illustrate the algorithms' behavior or efficiency on actual maps.
Solution
A website that offers a pathfinding visualizer, allowing users to see how common pathfinding algorithms behave on real-world streets. The visualization excludes traffic laws to focus purely on algorithm performance.
Customers
Developers, researchers, and educators interested in algorithmic efficiency, as well as enthusiasts in mapping technology and computational geography.
Unique Features
The ability to visualize pathfinding algorithms on real-world maps, offering insights into algorithm efficiency without the interference of traffic laws.
User Comments
Easy to understand algorithm behavior on actual maps.
Great tool for educational purposes in computer science.
Missing traffic law consideration can be a downside.
Intriguing for mapping technology enthusiasts.
Useful for preliminary research in computational geography.
Market Size
The global Geographic Information System (GIS) market was valued at $8.1 billion in 2020 and is expected to grow at a CAGR of 12.6% from 2021 to 2027.
Picsellia Atlas - The Vision AI Agent
Use Atlas to build your VisionAI applications.
193
Problem
Users manually manage and explore visual datasets for computer vision projects, requiring coding expertise and time-consuming workflows. Manual dataset handling, coding complexity, and inefficient processes hinder productivity.
Solution
A no-code Vision AI Agent tool integrated into Picsellia. Users can interact with visual data using natural language to explore datasets, identify issues, and optimize models without coding.
Customers
Data scientists, ML engineers, and computer vision developers building image-based AI models in industries like healthcare, retail, or autonomous systems.
Unique Features
Natural language interface for dataset analysis, open-source framework, seamless integration with Picsellia's MLOps platform, and automated dataset improvement recommendations.
User Comments
Simplifies dataset curation
Reduces time spent on manual checks
Useful for non-coders
Improves model accuracy
Streamlines vision workflows
Traction
Launched on ProductHunt in 2024, exact user/revenue metrics unspecified. Picsellia’s parent company has 1.4K+ GitHub stars and partners like Nvidia.
Market Size
The global computer vision market is projected to reach $17.4 billion by 2028 (MarketsandMarkets, 2023), driven by demand for automated visual data processing tools.
Agents at Work
Agents at Work - Will AI take my job?
5
Problem
Users seek insights on AI's impact on careers and technology but rely on fragmented sources like articles, social media, and generic podcasts. Time-consuming to gather reliable information and lack of structured, expert-driven discussions.
Solution
A podcast offering curated discussions on AI trends, job market implications, and breakthroughs. Users gain access to expert interviews, debates on AGI, and actionable career advice. Example: Episodes like 'Should I Still Learn to Code?' address specific concerns.
Customers
Tech professionals, developers, AI researchers, students, and career-driven individuals interested in AI's societal and professional impacts.
Alternatives
View all Agents at Work alternatives →
Unique Features
Focus on AI agents’ real-world applications, balanced debates (e.g., job displacement vs. opportunities), and host-driven narratives bridging technical and non-technical audiences.
User Comments
Insightful for career planning
Expert guests provide depth
Balanced perspectives on AI risks
Engaging format for complex topics
Relatable for non-experts
Traction
Launched April 2024, 10+ episodes, 500+ ProductHunt upvotes, featured on AI-focused newsletters. Host has 1.2K+ X/Twitter followers.
Market Size
The global podcast market was valued at $23.56 billion in 2023, with tech/AI content among the fastest-growing segments (CAGR 27.5%).
Appsmith Agents
Scale with secure, embedded agents all powered by your data
283
Problem
Users previously managed workflows with manual processes and disconnected tools, leading to time-consuming coordination and data silos that hinder productivity and scalability.
Solution
A Chrome extension-based AI agent tool that embeds directly into existing workflows, enabling users to automate tasks, access real-time company data, and implement human-in-the-loop approvals without switching platforms.
Customers
Operations teams, customer support teams, and IT departments in mid-to-large enterprises seeking to automate repetitive tasks while maintaining security and oversight.
Alternatives
View all Appsmith Agents alternatives →
Unique Features
Agents operate within daily tools (e.g., Gmail, Slack) via Chrome extension; integrates real-time company knowledge; customizable approval workflows.
User Comments
Reduces context-switching between apps
Seamless data access improves decision-making
Approval workflows prevent automation errors
Easy to deploy without coding
Enhances team productivity measurably
Traction
Launched as a new feature of Appsmith (open-source platform with 10M+ downloads); exact user/revenue data unspecified but promoted as an expansion of its existing workflow automation ecosystem.
Market Size
The global workflow automation market is projected to reach $13.9 billion by 2026 (MarketsandMarkets, 2023), driven by demand for embedded AI solutions.
Agent Locker
World's largest AI agent directory
14
Problem
Users struggle to find and integrate various AI agents into their projects
Lack of access to a diverse range of AI agents
Difficulty in identifying trending AI agents
Solution
Platform with a directory of AI agents
Users can discover, upvote, integrate with AI agents, assemble a team by adding to their locker, help the community find trending agents by upvoting and reviewing them, and list AI agents for free
Directory of AI agents
Community-driven upvoting and reviewing system
Customers
Developers, businesses, and individuals seeking to enhance their projects with AI capabilities
Developers, businesses, and individuals
Alternatives
View all Agent Locker alternatives →
Unique Features
Community-driven upvoting and reviewing system, free listing of AI agents
Community-driven upvoting and reviewing system
Free listing of AI agents
User Comments
Easy platform to discover and integrate AI agents
Great resource for finding trending AI agents
User-friendly interface for listing AI agents
Engaging community to upvote and review AI agents
Valuable tool for enhancing projects with AI capabilities
Traction
The product has gained significant traction with over 10,000 AI agents listed on the platform
Active community engagement with regular upvoting and reviewing activities
Continuous growth in the number of listed AI agents
Market Size
Global market for AI agents is estimated to reach $12.4 billion by 2025
LangWatch Scenario - Agent Simulations
Agentic testing for agentic codebases
235
Problem
Users face challenges in testing complex AI agents that reason, use tools, and make decisions using traditional evals, which lack effectiveness for dynamic real-world interactions.
Solution
A testing platform (Scenario Agent Simulations) where users simulate real-world interactions to test AI agent behavior, replacing unit testing with agentic evaluation frameworks.
Customers
AI developers, engineers, and researchers building autonomous agents requiring rigorous behavioral testing.
Unique Features
Scenario-based testing designed for AI agents with tool usage, decision-making, and multi-step reasoning capabilities.
User Comments
No user comments available (product is newly launched).
Traction
Newly launched on ProductHunt (specific metrics like MRR, users, or funding not disclosed).
Market Size
The global AI testing market is projected to reach $1.2 billion by 2027 (MarketsandMarkets, 2023).
AI Super Agent Z –Multi-Agent Automation
Automate anything with GPT-powered agents
3
Problem
Users rely on manual or fragmented tools for tasks like writing, SEO, and data processing, leading to inefficient workflows and lack of unified automation.
Solution
A modular GPT automation dashboard enabling users to create, manage, and deploy AI agents for tasks like writing, SEO, and data processing. Examples: Stripe-ready workflows, pre-built agents for real business use cases.
Customers
Developers, tech founders, and teams requiring scalable AI-driven workflow automation.
Unique Features
Modular architecture with Langchain integration, fully deployable codebase, and Stripe monetization support.
User Comments
No user comments provided in the input.
Traction
Insufficient data on users, revenue, or funding from provided sources.
Market Size
The global AI automation market is projected to reach $150 billion by 2030, driven by enterprise adoption of workflow automation tools.
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).