Infinall AI
Turn any product URL into a launch-ready ad campaign
Infinall AI launched on May 22, 2026 with 12 votes, #1,101 of 20,538 launches that month and more than 90% of that year's launches.
What it does
Paste your product URL. Infinall AI's four agents handle the rest — market research, GTM strategy, ad scripts, and creatives. Review and approve each step. Walk away with a launch-ready campaign in minutes, not weeks. No agency. No bloated budget. Just results.
Turn your product URL into campaign research, strategy, copy, and creative. Review and approve each stage with Infinall AI.
Paste your product URL. Infinall reads your market, builds a campaign strategy, writes the copy, and produces upload-ready ads for LinkedIn, Meta, and Google. Research in one place. Copy in another. Creative somewhere else. Every handoff loses time and context. By the time the ads are ready, the moment has passed. Paste your URL and Infinall reads your product, your competitors, and your customers. Everything it produces comes from that — nothing made up, nothing generic. No agency. No designer. No back-and-forth. You paste a URL, pick a goal, and come back to ads that are ready to upload. Five connected steps take your campaign from a URL and goal to production-ready assets and a platform…from infinall.ai
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wallhop is a free paywall bypass. Paste any article link to read it without paywall popups, ads or clutter. No signup, no extension. A simple 12ft.io alternative.
Growth · 11d ago · wallhop.io


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…
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Dev tools · May 2026 · github.com