
Open Canvas
The open AI canvas — your keys, your models, zero lock-in.
Open Canvas launched on May 19, 2026 with 3 votes, #3,449 of 20,538 launches that month and more than 50% of that year's launches.
What it does
Most AI platforms pick your model, hide your usage, and bill you their way. Open Canvas flips that. Bring your own API keys. Choose Claude, GPT-4o, Gemini, Mistral or plug in any custom model (DeepSeek, Groq, Ollama, Grok). Switch mid-conversation. See every token you spend in real time. No black box billing, no surprise charges, no lock-in. You own your AI stack. We just built the canvas. Free to use. Pro features coming soon.
Multi-provider AI canvas — bring your own keys
Does a similar job
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TensorBlock Forge2025 · tensorblock.co · ▲378Hey HN, We just recently launched Forge – an AI model API platform that lets you access and call AI models from multiple providers in one place. Find it on our website: https://tensorblock.co/forge Some key features: Unified API Key – Store multiple provider API keys and access all with a single Forge API key. OpenAI API Compatible – Drop-in replacement for any application that uses OpenAI’s API. Advanced Security – Strong Encryption for API keys with JWT-based authentication. Client Management – Easy key and user management via included command-line interface. Open-source –…


A CLI to use any model in your coding agentApr 2026 · getaivo.dev · ▲5Hi everyone, I've been working on a CLI tool that can help to easily run any model in claude, Codex, Gemini, Pi, and OpenCode. It's also an API keys manager, supports multiple providers or OpenAI/Claude/Gemini accounts. You can add openrouter, poe, Vercel AI gateways etc. It has a built-in provider that is free to all, which is using Deepseek-V4, no login or API key required, add your own when you're ready. After installation you can try claude instantly (No config, no login): aivo claude Hope it's useful to someone.

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Source: Product Hunt launch ↗
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Hey HN, Henry here from Cactus. We open-sourced Needle, a 26M parameter function-calling (tool use) model. It runs at 6000 tok/s prefill and 1200 tok/s decode on consumer devices. We were always frustrated by the little effort made towards building agentic models that run on budget phones, so we conducted investigations that led to an observation: agentic experiences are built upon tool calling, and massive models are overkill for it. Tool calling is fundamentally retrieval-and-assembly (match query to tool name, extract argument values, emit JSON), not reasoning. Cross-attention…
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