Show HN: Sequel – Effortlessly understand your data
Sequel is an AI tool that enables natural language queries for databases like PostgreSQL and MySQL, enhancing data accessibility for users while prioritizing security and offering SQL editing options.
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Sequel is an AI-powered tool designed to simplify data navigation by allowing users to query databases using natural language instead of traditional SQL. It provides instant insights and visualizations by interpreting user questions, such as revenue figures or product performance, and generating the corresponding SQL queries automatically. Sequel supports various databases, including PostgreSQL, MySQL, and SQLite, with plans to expand its compatibility. The platform is aimed at developers, data analysts, and business users, enabling them to access and analyze data more efficiently. Security is a priority for Sequel, with encrypted communication and adherence to best practices for data protection. Users can also run complex queries and utilize a SQL editor if they prefer writing SQL directly. Sequel aims to save time and enhance decision-making by making data insights more accessible.
- Sequel allows querying databases using natural language, eliminating the need for SQL.
- It supports multiple databases, including PostgreSQL and MySQL, with plans for more.
- The tool is designed for developers, analysts, and business users to enhance data accessibility.
- Security measures include encrypted communication and best practices for data protection.
- Users can run complex queries and also have the option to write SQL directly if preferred.
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4 commentsSome random critiques:
1. You have a tiny typo in the “Uncover insights with AI” example (quire).
2. The docs are broken on mobile screen sizes. Not a common use case for actually reading them, but I was curious!
3. The FAQ accordions aren’t individually closable and seemingly use MouseDown instead of Click, which makes scrolling on mobile a little wonky.
4. Your (Midjourney?) images are killer. Some of the best usage I’ve seen yet for a professional site.
And finally, two actual critiques/questions on real functionality:
1. I love the most recent blog post and agree with it 100%, but was surprised to see this:
“Instead of wrestling with complicated BI tools, users can instantly create charts, graphs, and live dashboards that help them make sense of complex data.”
2. Have you considered/explored paradigms that don’t require users to send you their DB credentials, and instead have some sort of local agent as a middleman? I guess the difference is arbitrary at some point (a middleman could pull my data too!), and I’m so far from an expert, but it just feels weird sharing DB login info just to get help writing queries. More curious than anything.
3. I love the privacy doc, but I’d recommend sharing any LLM providers that would get access to this data, or if you’re running it all yourself, bragging about that more explicitly! I personally don’t care about OpenAI/Anthropic/Google seeing (more of) my data, but I know a lot of people do.
4. This is all fun and games for queries, but what sort of protections are in place for INSERT, UPDATE, or, god forbid, DROP statements? I’m the biggest LLM fan around, but I think it’ll be a while before I’d let an LLM run such queries directly. Unless there’s some sort of rollback-able transaction support, and/or deterministic safety checks?
Thanks for sharing, no pressure to answer any of those lol. Very inspiring for my own work, especially as a solo dev! Keep cookin’ ;)
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