Onelook – Create applications by describing them in human language
Hey HN! We are the team at Onelook. Demo: https://demo.onelook.ai/ Blog post: https://medium.com/@onelook/introducing-onelook-a-radical-ne... Onelook allows users to create fully-functional applications by describing them in human language. And by fully-functional we really mean backend included. Think of it as Retool for non-technical people or Copilot to build apps. Existing tools are for technical teams and even Retool, which is a great product, requires setting up connection to databases, write queries, and call REST APIs. We understand it is impossible…
In plain words
Onelook is a platform that enables users to build fully-functional applications, including backends, by describing them in plain language. Rather than requiring technical setup like database connections and API calls, it uses an AI assistant that acts as a product manager, engaging in back-and-forth conversation to refine and clarify the application requirements. It is designed for non-technical users who want to create complete, working apps without coding knowledge.
written from the facts on this page · September 2026
From the sources
In the maker’s words, at launch
Hey HN! We are the team at Onelook. Demo: https://demo.onelook.ai/ Blog post: https://medium.com/@onelook/introducing-onelook-a-radical-ne... Onelook allows users to create fully-functional applications by describing them in human language. And by fully-functional we really mean backend included. Think of it as Retool for non-technical people or Copilot to build apps. Existing tools are for technical teams and even Retool, which is a great product, requires setting up connection to databases, write queries, and call REST APIs. We understand it is impossible to create a fully-functional app just by describing it in one go. Our approach is to model the conversation between a client and a product manager. In this case, the AI is the PM. The user chats back and forth with the AI to refine the app. Thank you!
More ai this month
the category →
I trained a 125M-parameter transformer to autocomplete piano performances in real time (~108 notes/sec on an iPhone 15). The idea is basically GitHub Copilot or Tabnine, except instead of prompting it with code, you prompt it by playing a few notes on a MIDI piano. The model then continues what you played, entirely on-device. The app is free if anyone wants to try it. Happy to answer questions about the model, training, Core ML, or the many things that didn't work.
AI · 17d ago · simedw.com
Astute▲585Automate your B2B brand going viral, with new media creators
AI · 18d ago · company-app.joinastute.com
Hey HN, Henry from Cactus here! We previously released Cactus Needle, a 14MB agentic LLM for tool call, device use, and structured extraction for phones, wearables, smart homes, small robots and microcontrollers. We got really great feedback here, and have now incorporated the suggestions to release Needle 2. The whole model is a single 14MB binary that runs a full session in 28MB of RAM; 45m parameters at 2bit compression. Needle hits 500 tokens/sec decode speed on a Raspberry Pi 5, sits between 400-1,500 tokens/sec on VR devices like Meta Quest 3S and Apple Vision Pro, and ranges…
AI · 27d ago · cactuscompute.com
Launched alongside, March 2024
the whole month →
- 3Y
Life & fun · 2024 · github.com
Microlaunch▲1,116Launch and get feedback on both the idea and product
Dev tools · 2024 · microlaunch.net
