Comments URL: https://news.ycombinator.com/item?id=49489682

Points: 10

# Comments: 9

Comments URL: https://news.ycombinator.com/item?id=49423097

Points: 4

# Comments: 1

Comments URL: https://news.ycombinator.com/item?id=48793904

Points: 4

# Comments: 0

What it does: - Auto-generates APIs from your database schema & sample data using AI

- Filters out PII and sensitive data for compliance (GDPR, SOC 2, etc.)

- Optimized for AI with extra meta information for REST and MCP support

- Works with PostgreSQL, MySQL, ClickHouse, Snowflake, BiqQuery

- Bunch of plugins: Telemetry, Auth, Caching, RLS and others

- Deployable via binary, Docker, or Helm

Check it out and please share your thoughts!

- Interactive Demo (GitHub needed): https://codespaces.new/centralmind/sample_databases

- GitHub: https://github.com/centralmind/gateway

- Docs: https://docs.centralmind.ai/

- Video: https://youtu.be/5xumga3QjmA

AI agents and LLM-powered applications need structured access to data, but traditional APIs and databases weren’t built with AI workloads in mind. Our tool automatically generates APIs that:

- Filter out PII & sensitive data to comply with GDPR, CPRA, SOC 2, and other regulations.

- Provide traceability & auditing, so AI apps aren’t black boxes, and security teams stay in control.

- Optimize for AI workloads, supporting Model Context Protocol (MCP) and REST endpoints with extra metadata to help AI agents understand APIs, plus built-in caching, auth, security.

Would love to get your thoughts and feedback! Happy to answer any questions.

Comments URL: https://news.ycombinator.com/item?id=43280573

Points: 5

# Comments: 0

- Generating wrappers and simple CRUD APIs on top of database tables, provided only with a DDL of the tables.

- Optimizing SQL queries and schemas, especially for less familiar SQL dialects—extremely effective.

- Generating Swagger comments for API methods. Joyness

- Re-creating classes or components based on similar classes, especially with Next.js, where the component mechanics often make this necessary.

- Creating utility methods for data conversion or mapping between different formats or structures.

- Assisting with CSS and the intricacies of HTML for styling.

- GPT4 o1 is significantly better at handling more complex scenarios in creation and refactoring.

Current challenges based on my experience:

- LLM lacks critical thinking; they tend to accommodate the user’s input even if the question is flawed or lacks a valid answer.

- There’s a substantial lack of context in most cases. LLMs should integrate deeper with data sampling capabilities or, ideally, support real-time debugging context.

- Challenging to use in large projects due to limited awareness of project structure and dependencies.

We're curious about your thoughts on Snowflake and the idea of an open-source alternative. Developing such a solution would require significant resources, but there might be an existing in-house project somewhere that could be open-sourced, who knows.

Could you spare a few minutes to fill out a short 10-question survey and share your experiences and insights about Snowflake? As a thank you, we have a few $50 Amazon gift cards that we will randomly share with those who complete the survey.

Thanks in advance

Below is a quick list of main features that we have:

- Single view of all savings options - Metadata about Azure, AWS, GCP instances - Region pricing comparison - Best alternatives (supercharged using ML) - More than 50 filters - Pricing in different currencies - Side by side comparison - Price / Performance - API and batch export of data - Pricing history via API - Unified search

Comments URL: https://news.ycombinator.com/item?id=39691690

Points: 4

# Comments: 1

Hearing from our users, we know how daunting it is to gather insights and try to make sense of all the charts, graphs and metrics, especially when you have to explain it to your business stakeholders.

That’s why we’ve just launched our new feature — GPT-4 integrated into our platform’s BI tool. We all know how good ChatGPT is at summarizing texts. But we also discovered that it is capable of comprehending and evaluating structured data such as tables, HTML, CSV, and other file types. So we decided to utilize its potential to provide our users with quick and easily understandable data insights.

Users don’t have to write prompts, as it is automatically done under-the-hood, so that the system comprehends the chart's context and provides the raw data needed for in-depth analysis.

The feature brings the best value working with complex dashboards where multiple factors like scale, numbers and context need to be comprehended to ascertain the underlying insights.

The greatest thing is in the ability of ChatGPT to track trends and correlations, insignificant deviations that may not be visible to our eye, but carry an important trend. We tested it across various industries and some cases are really cool.

Just a quick example: a food delivery service with over 20 KPIs across 30 warehouses. Since there are so many warehouses and measures to keep track of, it would be really hard for people to notice everything. But ChatGPT picked up on a few warehouses that were slow at packaging and suggested sending some workers from those places to another warehouse as a way to raise business productivity.

Here's access to a free trial: https://double.cloud/services/doublecloud-visualization/ without credit card and without any GPT-4 API Key.

We encourage all data pros to test our new feature and provide us with honest feedback as we strive to make it better.

Comments URL: https://news.ycombinator.com/item?id=36069716

Points: 8

# Comments: 1

Also including SSO, completely serverless, Row Level Security, Permissions and API, embedding that will come soon.

Comments URL: https://news.ycombinator.com/item?id=34821058

Points: 3

# Comments: 0

Comments URL: https://news.ycombinator.com/item?id=33440039

Points: 6

# Comments: 1