
The Amazon Profit System for Sellers & Agencies
Connect your Amazon seller account to optimize listings and reduce ad spend.
@adeelimrani · X
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12 projects

Connect your Amazon seller account to optimize listings and reduce ad spend.
@adeelimrani · X

Calculate how a raise affects your income after benefits cliffs.
@getpapi_ai · X
placed 3rd in the r/vibecoding vibejam 2026. It made me go viral in r/ohio It was my first ever jam entry, I'm also not a developer...or from Ohio. was planned, reviewed, shipped and currently managed by

Analyze Australian property contracts with AI to identify risks and negotiation points in under 5 minutes.
anuj_sachan1 · Product Hunt
DueDocs AI property contract review for Australian buyers and pros.

Create AI-optimized product listings for Amazon, Shopify, and WooCommerce in seconds.
@DahRegularDude · X
Ranklify lets e-commerce Sellers and Agencies create platform-native SEO product listings — titles, bullet points, backend keywords, and descriptions — optimized for Amazon A9, Shopify, and WooCommerce algorithms in less than 30 seconds

Retries failed Stripe charges and recovers subscriptions with automated dunning sequences.
@Holdfast_app · X

Monitor Reddit in real time to surface leads, competitor activity, and engagement opportunities.
@shawntenam · X
Claude Code Daily... Version 3 is live. Just shipped a clean refresh of the daily landing page: tighter flow, better signal extraction, and a soft CTA at the bottom that points builders toward without being pushy. Last week I dropped the previous version straight into the Claude Code subreddit. Result? ~400 visitors, only 5 clickouts. That’s how i test and iterate on Reddit. never blast a direct product link. You share the actual value first. the blog post itself. and let the equal exchange do the work. If someone finds the daily brief useful and wants to go deeper (beyond basic scraping into real intent signals), the path is there naturally. No deception, just reciprocity. builder mindset in action: ship fast, measure honestly, refine in public. does V3 hit cleaner? Drop your thoughts below.

Recovers overdue invoice payments using automated reminders and AI-led negotiation.
@petkosokol · X

Search Reddit, Hacker News, Stack Overflow and GitHub ranked by buying intent.
@iamvs2002 · X

Schedule social media posts on TikTok, Instagram, LinkedIn and more from $5/mo.
@troyaunderwood · X

Automatically route each prompt to the cheapest capable model to cut API costs.
u/ASDKING100 · Reddit
Launched an AI API router tonight, and found a bug hours in that would've taken real payments without ever upgrading the account Built LLMLite over the past few weeks — it classifies each prompt and routes it to the cheapest model that can actually handle it, instead of hitting GPT-4o for everything. Free tier, no card needed to try it. Tonight, right as I was about to launch, ran a real transaction to test the payment flow end to end. Paddle processed it, webhook fired, signature verified

A sales dialer that consolidates prospecting, sequencing, dialing, and follow-up into one workflow.
sadidrahimi · HN
hello HN, let me tell you why i built boilerroom ( https://boilerroom.ai ). throughout my past endeavours in sales, the one thing that thoroughly pissed me off was living in a million places to execute one thing; the outbound motion this includes everything top of funnel like finding leads (be it inbound or outbound), researching, filtering for qualification criteria, throwing them in a sequence, engaging them via dialer, email, and linkedin, gathering context, all the way through bottom of funnel like discovery calls, demo calls, and post-sales activities what absolutely does not exist (or if it does, a piss-poor model) is a place to simply execute this work in one place why tf do i have to be on clay, or apollo, clicking around looking for leads, researching them around myself, put them in to some other garbage software to sequence to tell me when to make a call or send out automated emails, only to get a massive backlog of things I was supposed to do, which in turn makes my whol

Compare 700+ Azure VM prices across regions with real-time pricing data.
@honitec · X
做了一个每天自动刷新的模型定价 API 替代 LiteLLM,每天拉最新的推理定价 为什么需要「每天」? 因为 AI 模型价格一周一变 3月 $8/M → 6 月 $3/M,半年跌了一半多 半年前到处喊 GPU 短缺 现在全员降价抢客户 估值故事讲的是稀缺 现实是价格比成本跌得快 这中间的落差,就是泡沫