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One ad slot per category. The price falls every second. Grab it before someone else does.
@itscalpz · X
is fun until the price is too high for some users, introducing #meltspot wherein you can be number one until someone does offer higher (the price is going down from time to time) :)))
用AI分析和追踪竞争对手的策略和动向
@NateDenisal · X
Working on a competitor intelligence platform,
实时监测竞争对手的价格变化、职位发布、广告、内容策略、评价和技术栈。
sven_de_meyere1 · Product Hunt
Glimpse The competitive intelligence agent
Rival Shark is an AI competitive intelligence platform that surfaces competitor moves, scores your local market 0–100, and ends every report with a recommended action. Boardroom-re
@Rival_Shark · X
The public leaderboard where brands and creators compete for attention. The more you pay, the higher you rank. Brands compete with brands, creators with creators. One worldwide boa
@RankOutbid · X
No ads, no API keys. Just outbid your competition to get to the top.
@iOS_dev_ind · X
OutBids 🚀 Would love for you to try it out and let me know what you think!
Bill anything. Explain everything. Seven composable pricing models, usage and token billing for AI products, and a receipt behind every amount. From $39/mo.
@yrecurringhq · X
yRecurring is an AI-Native subscription and billing platform. 14 days free trial - no credit card required.
对比450+个LLM API定价方案，计算实际月度成本，支持缓存和批处理定价。
u/Greywolff06 · Reddit
I built LLMPrice — a free calculator for comparing LLM API costs across 450+ pricing routes I kept running into the same problem when comparing LLM APIs: the headline token price doesn't always tell you what your actual workload will cost. Caching, batch pricing, reasoning tokens, retries, different endpoints, and OpenRouter routes can change the result quite a bit. So I built LLMPrice.com. You enter your workload once — requests, input/output tokens, caching, retries, etc. — and it com
Rank 405 AI models by independently measured capability, then compare what they actually cost across 50 providers. 92% of the market is a strictly worse deal than something else on
@LenvanderHof · X
My builder stack: for structured reasoning, for focused mind sessions, for books and projects, and for independent AI model quality-and-price intelligence. Let's connect
用CompetitorSearch描述竞争对手，获得实时网络搜索的并排分析和档案。
@Wagner__kent · X
Good day Gainframe, built CompetitorSearch — describe your competitors, get a live web-searched side-by-side breakdown + full dossier on each. Selling it outright (Mistral+Tavily+Vercel, 156 visits/19 searches/10 users). Happy to walk you through it.
对比700+ Azure虚拟机在各地区的实时定价。
@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
