Gemini Queue
Queue multiple prompts on Gemini UI & export to CSV
Gemini Queue launched on May 23, 2026 with 4 votes, #2,419 of 20,536 launches that month and more than 75% of that year's launches.
What it does
Gemini Queue is a lightweight Chrome extension that automates bulk prompting on the official Gemini Web UI—no API keys required. Key features: • Bulk Queue: Paste a list of prompts and let them run sequentially. • Background Running: Works in the background without freezing your tab. • Clean Table UI: Automatically formats answers in a structured data table. • 1-Click Export: Download all results directly to CSV instantly.
Does a similar job
all alternatives →

Gemini AI Side Panel2024 · chromewebstore.google.com · ▲405Supercharge productivity in your browser with Gemini AI

File Generation in GeminiApr 2026 · blog.google · ▲165Generate production-ready files directly in your chat
Simple wrapper for Chrome's built-in local LLM (Gemini Nano)2025 · github.com · ▲33Chrome now includes a native on-device LLM (Gemini Nano) starting in version 138. I've been building with it since it was in origin trials, it's powerful but the official Prompt API is still a bit awkward: - Enforces sessions even for basic usage - Requires user-triggered downloads - Lacks type safety or structured error handling So I open-sourced a small TypeScript wrapper I originally built for other projects to smooth over the rough edges: github: https://github.com/kstonekuan/simple-chromium-ai npm: https://www.npmjs.com/package/simple-chromium-ai…
More ai this month
the category →



Paintings by AI models: programs run through a simulation of oil paint.
AI · 26d ago · stillwet.art

FastRouter.ai▲364Route requests to the right LLM for cost, latency & quality
AI · 28d ago · fastrouter.ai
Source: Product Hunt launch ↗
Launched alongside, May 2026
the whole month →

Parallel agents, diff reviewer, and multi-model comparisons
Dev tools · May 2026 · kilo.ai



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…
Life & fun · May 2026 · github.com

🌱 Private, quiet space for thinking. Simple app for .md files. - zakirullin/files.md
Dev tools · May 2026 · github.com