MapleCatch
Shop smarter. Support Local brands.
MapleCatch launched on September 2, 2025 with 7 votes, #2,024 of 8,160 launches that month. The site was still online in September 2026, 1 year on.
What it does
MapleCatch is a smart shopping web app for Canadians to create shopping lists, discover local brands, and enjoy a secure, privacy-focused experience.
MapleCatch connects customer data, marketing systems, CRM, and AI to improve lead quality, automate workflows, and build smarter software.
MapleCatch connects your customer data, marketing systems, CRM, and AI to reveal lead quality, automate workflows, and guide smarter growth decisions. MapleCatch combines data strategy, applied AI, and software engineering so insight does not stop at another dashboard. Four capabilities. One connected system for understanding customers and improving decisions. Connect customer, marketing, sales, and CRM data to see which activity is producing customers and revenue. Compare lead behavior with real customer outcomes to improve qualification, acquisition, and follow-up. Build practical AI assistants and workflows that qualify, route, support, and respond with business context. Create custom…from maplecatch.com
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Source: Product Hunt launch ↗
Launched alongside, September 2025
the whole month →

The site hit #1 on HN about a year ago. Got enough traffic that I turned it into a proper API. What's there: - REST API — 35k products, manually filterable by category, free key, 60 req/min - CLI — npx anycrap random -c food - faker.js plugin — bundled, no API call, works offline - HuggingFace dataset — full 35k rows for ML/training https://anycrap.shop/developers
AI · 2025 · anycrap.shop

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Dev tools · 2025 · github.com
- IR
Years ago I stumbled across a basic version of this concept and it stuck with me. I knew if I was ever going to take on such a project, it would need to be flawless, but without coding experience it was just another idea that would never happen. By the end of 2024, as AI coding tools exploded everywhere, I finally had a way to make it real. I started from zero knowledge and spent months collaborating with AI agents as a learning experience. Every pixel and every function went through me. The AI translated what I asked for into code, but every decision was human. I didn't use existing OS…
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