Growl
Competitor research for small businesses — in 2 minutes
Growl launched on May 26, 2026 with 3 votes, #3,449 of 20,538 launches that month and more than 50% of that year's launches.
What it does
Small business owners spend 3+ hours/week researching competitors manually. Growl automates it: 3C analysis, STP segmentation, and competitor mapping in ~2 minutes. Built by a restaurant owner who was tired of doing it the hard way.
We ask Google's AI what a real customer would ask, then show you its actual answer — including the businesses it named instead of you. Works for local businesses and for B2B. Paste your URL, about 30 seconds, free, no signup.
For owners & teams with no in-house marketer — and no agency. We ask Google's AI the question a real customer would actually type, then show you its actual answer, word for word. First we scan your site’s AI-readiness, then you run the live test against Google’s AI. No signup, no card. Growl is an AI visibility checker — also called GEO or AEO — for local businesses (restaurants, salons, clinics, shops) and for B2B companies (outsourcing, professional services, SaaS) alike. On 22 Aug 2026 we asked Google's AI about barber shops in Manchester, UK — two different ways. This is what came back. Same city, same trade. Only the question changed — and just one shop, Good Days Barbers, appeared in…from growl-app.vercel.app
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Competitor Research2024 · competitoresearch.com · ▲739The fastest, easiest way to find and research competitors





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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 ↗
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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