
Findcustomersfast
Turn Reddit conversations into sales opportunities.
Findcustomersfast launched on April 14, 2025 with 15 votes, #1,637 of 7,818 launches that month and more than 75% of that year's launches.
What it does
Findcustomersfast helps you uncover potential customers on Reddit who are already discussing products like yours. Simply register your product, and our AI scans Reddit to identify posts where users express buying intent.
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Linkeddit2025 · linkeddit.com · ▲618The tool actually hit Product Hunt #1 back in February. Since then I’ve added a bunch more on top of the original version. Now you just describe the intent or goal for the leads you want, and it searches based on keywords and a bunch of other signals to surface the best ones for you. I also added a Reddit-powered content writer. Basically, you pick a topic or category, and it pulls the top posts from Reddit, analyzes what made them go viral, and helps you write content using the same patterns. Reddit is super underrated for content. If something blows up there, it almost always spreads to…
mention.click2025 · mention.click · ▲161I built mention.click to help founders and marketers find real business leads, feedback, and opportunities by uncovering the right discussions on Reddit, without the hassle of keyword research. Backstory I was trying to prove ideas and products, I didn't like existing tools like ReplyGuy, Gummy search, while being cool, didn't work for me. I needed a specialized solution to find conversations where I could speak about my project, driven by AI (Not really) just filtering out extra noise. How it works You give a link to the website. mention.click uses AI to extract keywords and context. It…

Reddit Opportunity Finder by InfrasityMar 2026 · infrasity.com · ▲22Find Reddit threads that rank on Google and get cited by LLM


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Source: Product Hunt launch ↗
Launched alongside, April 2025
the whole month →
Hi everyone, I built PyXL — a hardware processor that executes a custom assembly generated from Python programs, without using a traditional interpreter or virtual machine. It compiles Python -> CPython Bytecode -> Instruction set designed for direct hardware execution. I’m sharing an early benchmark: a GPIO test where PyXL achieves a 480ns round-trip toggle — compared to 14-25 micro seconds on a MicroPython Pyboard - even though PyXL runs at a lower clock (100MHz vs. 168MHz). The design is stack-based, fully pipelined, and preserves Python's dynamic typing without static type restrictions.…
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