Alternatives
Products that do what TNX API – Natural Language Interactions with Your Database does
Hey HN! I built TNX API to make working with databases as simple as asking a question in plain English. What it does: - You write a natural language prompt (e.g., "List products with price > 20 USD") - Our system turns it into SQL and runs it - You get actual results, optionally visualized - Your data stays private – nothing is stored, the AI doesn‘t see it, and the API forgets immediately after replying Why I made this: Writing SQL for routine questions is https://www.tnxapi.com/UI/login.php still a blocker for many teams. I wanted a privacy-first, plug-and-play API that…
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2016 · kueri.me
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2019 · askdata.com
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I played around with GPT-3 to build this demo. Select a public BigQuery dataset and describe your query in natural English, then edit the generated SQL as needed and execute it. https://app.tabbydata.com/sql-assistant-demo
2021
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2013 · skr.io
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We built a structured search engine for Twitter called Bird SQL, available at https://www.perplexity.ai/sql. Our search interface uses OpenAI Codex to translate natural language to SQL. Our backend then verifies the SQL, executes it, and displays the results on the web app. This makes large structured datasets like a scrape of Twitter easy for anyone to explore. As background, while working on text-to-SQL as a general problem, we came to believe one of its most powerful applications is as a search tool because: - SQL is hard to write by hand and prone to errors - It allows you…
2022 · perplexity.ai
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Yet another "talk to your data and build a dashboard" app, where data does not leave your browser. You ask a question, agents produce multiple SQL queries to in-browser sqlite, never seeing results, and write dashboard configuration code. The data you analyze will be indexed with a local semantic index (embeddings generation + sqlite vector search fully local). Next, sandboxed QuickJS runs this code to produce rich dashboards directly in your browser, no backend attached. This is a fully frontend app (except OpenRouter or other remote LLM). All data sent to LLM's is heavily sanitized and…
Jun 2026 · eatmydata.ai
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Hey Hackernews! We’ve launched our new AI-powered report builder and we’re eager to get feedback. We set this up with some demo retail data, but this can plug into any SQL database to provide customer reporting through natural language. I’ve seen this type of feature demo well on other platforms, but never actually work, so we’re putting this out into the world for anyone to actually try themselves. We’re leveraging OpenAI under the hood and have made a ton of improvements to the prompt engineering to configure the reports (OpenAI doesn’t actually write the underlying SQL). Click into a…
2025 · custom.explo.co
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Hello HN! I've been working on Atomic Database[1] for almost exactly a month now, having restarted from an earlier Hackathon prototype version. Atomic Database is a deductive database like Datalog that has a useful GUI interface, a natural language query system, smart metadata storage, and gradual typing capabilities. The actual database backend of all this is based on Entity Attribute Value triples currently (I don't forsee changing it, as yet!). This is still very much a prototype, but I feel like I'm at the stage in its evolution where I need some outside input and, possibly, help. To…
2019
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hi hn, today I'm open sourcing a new SQL-like query language that's built for the web. it has dedicated syntax for request, parsers, selectors, and javascript snippets... it was built on nodejs with the incredible moo lexer and nearley parser. if you're a fan of regular expressions, do I have some code to show you! the website is mostly just a few examples and a playground where you can write & run (& share!) your own queries. there's also an introductory blog post where i try but ultimately fail to justify why this should be its own language and not a library/framework. enjoy!
2024 · getlang.dev
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Hey HN — We're excited to share Trellis — a snowflake for unstructured data. We've built an AI engine that turns unstructured data into structured SQL-format based on the schema you define in natural language. We spent a lot of time building ML infrastructure and realized that most data warehouses and data pipelines are not designed for unstructured data (documents, PDFs, calls). While something like a Vector database and RAG are great at search tasks, they really struggle with aggregation and SQL type queries such as 1. How many emails in the past 6 months contain complaints about the…
2024 · demo.runtrellis.com
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Explain Code App works with SQL, a popular language for querying databases. You can tell Explain Code App what you want in plain language, and the app will generate the matching SQL code for you. https://www.explaincode.app
2022
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I posted this a few weeks ago and the server died under the traffic. Fixed that by adding an in-mem caching layer with Redis/valkey and added CloudFront caching for static content. Also upgraded the server. Also fixed the Firefox bugs, trying again. It's a research tool for US stocks. Financials for ~10k companies pulled from SEC filings. You can chart any metric across companies, filter news by ticker, ask questions in plain English and get a chart back. There's also SQL console against the whole database, which is the part I like to use together with the AI chat (generates an SQL…
Jun 2026 · terminal.tesseractanalytics.ai
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