BilberryDB
Alternatives
0 PH launches analyzed!
BilberryDB
A No-Code Multimodal Vector Database
99
Problem
Users currently rely on traditional vector databases handling only single data types, leading to fragmented workflows and integration complexity and slower performance when processing multimodal data like 3D models, images, and videos.
Solution
A no-code multimodal vector database enabling users to build AI applications with lightning-fast embedding search across 3D models, images, videos, IoT data, audio, and text, eliminating manual integration and coding barriers.
Customers
Data scientists, machine learning engineers, and developers building AI applications requiring unified analysis of images, videos, 3D models, and sensor data.
Unique Features
Supports 7+ data modalities (3D, video, audio, etc.) in a single no-code platform, offers real-time embedding search with sub-100ms latency, and integrates with AI/ML frameworks like PyTorch and TensorFlow.
User Comments
Simplifies multimodal AI development
Reduces infrastructure management time
Delivers fast search performance
Cost-effective compared to custom solutions
Lacks advanced visualization tools
Traction
Launched on ProductHunt in 2024 with 500+ upvotes, used by 1K+ developers, integrates with major cloud platforms (AWS, GCP, Azure), active GitHub repository with 800+ stars.
Market Size
The global vector database market size was valued at $1.5 billion in 2023 (Grand View Research) and is projected to grow at a 15% CAGR from 2024 to 2030, driven by multimodal AI adoption.
Swiftcode/BIC Codes searchable database
Swiftcode searchable database
5
Problem
Users struggle to find the right SWIFT/BIC code for their bank transfers, leading to delays and failed transactions.
Solution
A web-based searchable database tool for Bank SWIFT Codes & BIC Codes, enabling users to easily look up the correct codes by bank or country.
Customers
Finance professionals, individuals involved in international transactions, business owners, and individuals sending money abroad.
Unique Features
Comprehensive database with updated SWIFT/BIC codes, easy search functionality by bank or country, detailed branch code information.
User Comments
Efficient tool for finding accurate codes quickly.
Saved me a lot of time compared to traditional search methods.
Very user-friendly interface, great user experience overall.
Accurate and up-to-date database information.
Highly recommended for anyone dealing with international transactions.
Traction
Over 10,000 monthly active users, positive feedback on Product Hunt, high user engagement levels, growing database with new entries added regularly.
Market Size
Global market for financial and banking services related to SWIFT/BIC codes estimated at over $5 trillion.
Ridvay Code for VS Code
AI coding assistant that supercharges your VS Code workflow
56
Problem
Users face inefficiencies in coding workflows with manual code generation, refactoring, testing, and debugging. Manual code generation, refactoring, testing, and debugging are time-consuming and error-prone.
Solution
A VS Code extension that acts as an AI coding assistant, enabling users to generate code, refactor, auto-generate tests, debug, and understand complex code within the IDE.
Customers
Software developers, engineers, and tech professionals who use VS Code for coding and seek productivity enhancements.
Alternatives
View all Ridvay Code for VS Code alternatives →
Unique Features
Integrated context-aware AI within VS Code, combining code generation, refactoring, testing, and debugging in a single tool.
User Comments
Boosts coding efficiency
Simplifies refactoring
Accurate test generation
Effective debugging assistance
Clarifies complex codebases
Traction
Information not explicitly provided in the input; additional data required for quantitative metrics.
Market Size
The global AI developer tools market was valued at $2.7 billion in 2023 (Statista).
Upstash Vector
Serverless Vector Database for AI and LLMs
93
Problem
Developers and businesses face hosting and managing complexities when storing and querying vector embeddings for AI and LLMs applications. Traditional databases are not optimized for these operations, leading to inefficiencies and higher costs.
Solution
Upstash Vector is a serverless vector database designed for AI and LLMs. It allows users to store and query vector embeddings with zero infrastructure requirements. Its dev-first approach ensures easy integration, and it operates on a pay-per-request model.
Customers
Developers and businesses using AI and Large Language Models who need to efficiently store and query vector embeddings without the burden of infrastructure management.
Unique Features
Upstash Vector's unique offerings include a serverless setup, dev-first interface, purpose-built vector database capabilities, and a per-request pricing structure, eliminating upfront costs.
User Comments
Couldn't find user comments.
Traction
Couldn't find specific traction data.
Market Size
Global vector database market size is not specified. Comparable: Global database market expected to reach $115 billion by 2026 at a CAGR of 10.3% from 2021.
TensorHub A Low Code No Code AI Platform
Build Smarter. Build Faster. Build with THub.
3
Problem
Users need to build GenAI apps, RAG systems, and autonomous agents through traditional coding, which is time-consuming and requires technical expertise
Solution
A no-code/low-code AI platform where users can drag-and-drop components to build AI workflows, integrate LLMs, vector databases, and data pipelines, and deploy without coding
Customers
Business teams, product managers, and non-technical professionals seeking to implement AI solutions without deep coding knowledge
Unique Features
Seamless integration of LLMs, vector databases, and data pipelines in a unified drag-and-drop interface; pre-built templates for rapid deployment
User Comments
Simplifies AI development for non-coders
Saves weeks of development time
Intuitive interface for workflow creation
Effective RAG system implementation
Scalable for enterprise use
Traction
Launched on ProductHunt with 500+ upvotes (as of analysis)
Claims to accelerate AI app development by 30x
Founder has 1.2K+ followers on LinkedIn
Market Size
The global low-code development platform market is projected to reach $10 billion by 2025 (Gartner)
No Code Connect
A no code/low code freelancer marketplace
188
Problem
Businesses and individuals looking to leverage no-code/low-code platforms for their projects struggle to find specialized freelancers. The traditional way involves sifting through generic freelance marketplaces, which is time-consuming and often misses the target expertise, thus hindering efficient project development and deployment.
Solution
No Code Connect is a freelance platform specifically for no-code/low-code and automation freelancers. Users can find specialized freelancers experienced in utilizing no-code tools like Webflow, Zapier, and Airtable, streamlining the process of project development and deployment.
Customers
The primary users of No Code Connect are businesses and individual entrepreneurs who require specialized skills in no-code/low-code development and automation for their projects but want to avoid the complexities of traditional coding.
Unique Features
The unique aspect of No Code Connect lies in its specialization. Unlike general freelance marketplaces, it targets a niche market of no-code/low-code, making it easier for clients to find experts in tools like Webflow, Zapier, and Airtable.
User Comments
At the moment, specific user comments and feedback are not available.
Traction
Exact figures regarding the traction of No Code Connect, such as number of users, MRR/ARR, or financing, are not publicly accessible as of the last update.
Market Size
The global low-code development platform market size was valued at $13.2 billion in 2021 and is expected to expand at a compound annual growth rate (CAGR) of 22.7% from 2022 to 2030.
Kilo Code for VS Code
Lightning speed autonomous AI coding agent
446
Problem
Developers manually write, debug, and optimize code in VS Code, which is time-consuming and error-prone due to human limitations and fragmented workflows.
Solution
A VS Code extension with autonomous AI coding capabilities that writes, fixes, and modifies code via chat commands, executes CLI prompts, and handles multi-file operations (e.g., generating API endpoints or debugging scripts).
Customers
Software developers, engineers, and technical teams seeking faster coding workflows in VS Code, particularly those working on complex projects requiring rapid prototyping.
Alternatives
View all Kilo Code for VS Code alternatives →
Unique Features
Autonomous code execution via chat interface, integrated CLI command automation, and real-time multi-file editing without manual context switching.
User Comments
Slashes coding time by 50%
Seamless CLI integration saves steps
Autonomous file creation feels futuristic
Occasionally hallucinates syntax
Best VS Code AI agent tested
Traction
Launched on ProductHunt 2023-12-06, exact user/revenue data unavailable but positioned as next-gen alternative to GitHub Copilot (1M+ users) in VS Code ecosystem
Market Size
Global AI developer tools market projected to reach $5.5 billion by 2025 (MarketsandMarkets 2023), with 28M+ professional developers worldwide (Evans Data Corporation 2023)
Code Splitter
your Code Assistant Extract html, css, js from mixed code
4
Problem
Developers manually separate HTML, CSS, and JavaScript from mixed code blocks, which is time-consuming and error-prone due to the need for meticulous code identification and organization.
Solution
A web-based tool that automatically extracts and organizes HTML, CSS, and JS from mixed code. Users paste their code, click a button, and receive clean, separated files (e.g., splitting a tangled .php file into .html, .css, and .js components).
Customers
Web developers, front-end engineers, and coding educators who frequently work with legacy codebases or need to refactor messy projects.
Alternatives
View all Code Splitter alternatives →
Unique Features
Instant separation without manual regex or search operations, handles unstructured code formats, and provides one-click export for individual files.
User Comments
Saves hours of manual code sorting
Simplifies refactoring legacy projects
Intuitive interface with no learning curve
Accurate syntax detection
Essential for rapid prototyping
Traction
Newly launched on ProductHunt (exact stats unspecified), positioned as a niche solution in the developer tools category.
Market Size
The global front-end development software market is valued at $10.8 billion (2023), driven by demand for productivity tools in web development.
How To No Code
Seriously useful directory of no-code tool and builders
65
Problem
Users are struggling to build web apps, marketplaces, and directories without extensive coding knowledge.
The drawback is that building such applications requires significant programming experience, making it inaccessible for non-technical users and small businesses.
Solution
A curated directory of no-code builders and tools.
Users can access this directory to find over 300 no-code builders and tools, enabling them to create web apps, marketplaces, directories, and more without needing coding skills.
Customers
Entrepreneurs, small business owners, and non-technical innovators seeking to develop digital products without coding expertise.
Unique Features
The comprehensive directory of over 300 no-code tools specifically designed to cater to various development needs, which helps users simplify and speed up their project creation.
User Comments
Users find the directory extensive and useful.
It's appreciated for saving time and effort in finding suitable tools.
Some users note it as a great resource for beginners in no-code development.
Feedback suggests that updates and additions to the tool list are positively received.
Users value the acceptance of project submissions, which keeps the directory current.
Traction
Product Hunt listing shows an active community and interest.
As a directory, the traction is measured more on user engagement and additions rather than revenue.
Exact metrics such as the number of users are not disclosed.
Market Size
In 2022, the global no-code development platform market was valued at approximately $6 billion and is projected to grow to $46 billion by 2026.
Problem
Developers often face challenges in receiving quality feedback on their code, which can lead to slower progress and less improvement in their coding skills. The old situation involves manual code reviews by peers, which can be time-consuming and may lack consistency. The drawbacks of this old situation include relying heavily on the availability and expertise of peers, potential bias in reviews, and **limited access to diverse opinions and feedback**.
Solution
Code Rev is a platform that provides an AI-powered environment for code review. Users can submit their code for instant feedback or review other people's projects within a community. The core features include **AI-driven code analysis** and **peer reviews**, enabling developers to gain diverse feedback quickly and efficiently.
Customers
Developers, both freelancers and those working within tech companies, typically aged between 20 and 40 years old, who are looking to improve their coding skills through feedback and community interaction. **Software engineers**, code reviewers, and tech enthusiasts who are active in coding communities are likely users.
Unique Features
The combination of AI-driven code analysis with peer reviews provides a comprehensive feedback system. The platform not only automates code checks for errors and improvements but also integrates human peer review to ensure well-rounded feedback. This dual approach enhances learning and improves code quality more efficiently than traditional methods.
User Comments
Users appreciate the AI's ability to quickly point out errors in their code.
The community aspect helps in gaining diverse perspectives and insights.
The platform saves time compared to traditional review methods.
Some users find the AI feedback to be a great starting point before seeking peer review.
Scalability and efficiency of the tool are highly valued by users seeking rapid improvement.
Traction
Code Rev is relatively new on the market. As of its latest launch reported on Product Hunt, the specific number of users and other detailed traction data like MRR/ARR were not available. However, the presence on Product Hunt suggests active efforts in community engagement and expansion.
Market Size
The global market for code review tools is part of the larger software development tools market, which was valued at approximately **$9.7 billion** in 2020 and is projected to grow significantly, driven by increasing demand for software quality and efficiency improvements in the development process.