
Banner Ad Maker
Turn your designs into Google Ads HTML5 banners in 60s
Banner Ad Maker launched on May 20, 2026 with 1 votes.
What it does
Drop your designs into Banner Ad Maker and get a Google Ads-ready HTML5 ZIP in under a minute. No coding needed. Upload SVG, PNG, or JPEG from Figma/Canva/Photoshop. Add entrance animations to elements. Auto-compresses to fit Google's 600KB limit. Built-in validation catches issues before you upload. Exports a ZIP ready for Google Ads, DV360, or any DSP. 100% browser-based — your files never leave your machine. No signup, no account needed. 5 free exports to try it out.
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Foldwrap2024 · foldwrap.com · ▲54I want to share the tool I have been working on for almost a year. It takes a multi-frame Figma design and converts it to native HTML5. Then applies a preset animation to elements based on their type. The result is an animated HTML5 banner ad from a static Figma design, with each frame appearing in sequence and delivering the marketing message. For example: - Frame 1: Name the problem - Frame 2: Show your product - Frame 3: CTA or disclaimer You can process many sizes at once, such as 300x600 with 2 frames + 728x90 with 4 frames + 1080x1080 with only one frame. So all creatives are animated…



Video to Playable Converter by Segwise2025 · video2playable.segwise.ai · ▲136Convert MP4 video ads to playables in 2 minutes - free
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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 · 12d ago · wallhop.io


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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