StorePulse: Monitor + AI Fixes
Your Shopify store's 24/7 AI debugging copilot
StorePulse: Monitor + AI Fixes launched on May 18, 2026 with 3 votes, #3,449 of 20,538 launches that month and more than 50% of that year's launches.
What it does
StorePulse catches what Shopify Analytics misses — JavaScript errors, broken checkouts, slow Core Web Vitals, WCAG violations, SEO regressions. Each issue gets a Claude AI fix proposal with root cause, exact theme file, and before/after code you paste into Shopify's Code Editor. 150-page accessibility audits with ADA lawsuit-risk scoring. Synthetic checkout walks on a schedule. Built solo on Cloudflare Workers + Durable Objects + Queues. Free plan included, no credit card.
StorePulse catches storefront JS errors, URGENT cart-failure alerts, and abandoned-cart misses on your Shopify store — and drafts Claude AI fixes before they cost you sales. 7-day free trial.
StorePulse captures every real-customer JavaScript and cart error from your live storefront, surfaces URGENT alerts the moment Add-to-Cart breaks, and ships Claude-powered AI fixes — so you find storefront problems before your customers do. JavaScript errors, broken checkouts, abandoned-cart misses, live visitor intelligence — all in one place, all with context. Focused on the storefront-health signals Shopify itself doesn't surface. Captures JavaScript errors and unhandled rejections from real visitors. Groups by stack signature, shows occurrence trends, and links each error to the page that triggered it. Every error gets a one-click AI fix proposal: root cause, exact theme file,…from deepseatools.in
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Verity ScoreSep 2026 · verityscore.io · ▲58Track what AI says about your store, fix it, generate blog




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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 · 13d ago · wallhop.io


Source: Product Hunt launch ↗
Launched alongside, May 2026
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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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