
Auriko | One API for Every LLM, Zero Markup, Cache-Aware Cost Arbitrage
使用一个 API 访问和切换多个 LLM 提供商,同时优化推理成本。
justin2025 · Product Hunt
Auriko Trading desk for LLM calls
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使用一个 API 访问和切换多个 LLM 提供商,同时优化推理成本。
justin2025 · Product Hunt
Auriko Trading desk for LLM calls

实时监测14+加密交易所的价格差异,识别套利机会。
@instantarb_io · X
Hi. Building a real-time platform for crypto arbitrage, funding rates, and market analytics.

SaaS定价建模和代币成本计算,支持30+种货币的利润分析。
@HelloCalcaas · X

Ornymo通过语义缓存减少LLM查询成本和延迟。
u/ornymo_official · Reddit
how to reduce ai costs there are lots of way to reduce costs but there all complex to setup i know this cause i tried one in production so i built ornymo we cache meaning not the exact string allowing us to give same awnsers thus reducing llm costs and latency check it out at ornymo.com free for a limited time and let me know your feedback submitted by /u/ornymo_official to r/buildinpublic [link] [comments]

Automated Financial & Inventory Engine
@RealLedgerLite · X
Simple Easy Financial Calculator

监控竞争对手定价页面,每周发送价格变动、新套餐和功能转移的邮件。
@sheikhbuilds · X
Zero formal engineering background. Six months ago I couldn't write a line of code. Today is live, built with Claude Code while working full time as a PM at Uber. 🛠️ AI didn't replace the learning, it removed my excuse not to start. 🚀

初学者的AI投资应用,连接券商账户后可追踪投资组合并分析股票。
@humblelime · X

实时监控 Arcium MPC 网络活动、代币指标和持有者流向。
@zerokn0wledge_ · X
Hey @arcium fam, check out a free realtime data analytics dashboard built on open data I vibe-coded with my fren @claudeai Fable 5: - Live network pulse: computations, clusters, nodes and epochs straight from the Arcium explorer - Program leaderboard: every MXE identified and ranked, network concentration quantified - Holder map: full-chain solana:ARXwZkNAtzPfdcoqQiduJn8EPv9fKiDfGn2KyggyDrFs wallet scan via @heliuslabs, whales tagged, flows tracked in realtime, verifiable on @solscanofficial - Token + valuation: @coingecko market data and a TAM-grounded scenario models you can control/customize - X intel: sentiment and narratives sampled and analyzed live by @grok - Interactive deep dive into how the encrypted supercomputer actually works Every label evidence-verified. Every number sourced. no paywall. V0 live now. Feedback appreciated.

计算应用栈何时超出AI、托管、数据库等免费层。
@K_dev001 · X
Vibe coding makes launching an app almost free. Running it is another story. I built to calculate your full AI + app stack costs and show which free tier breaks first. Sourced pricing. No signup. No guessing. ->

监控AI成本,预测支出,为团队设置成本限制。
@eastbase_studio · X

Argutum:与AI聊天并根据消息质量赚钱。
u/as-333 · Reddit
Built an AI chat that pays you per message, scored in real time: looking for feedback I've been using Claude Code to build Argutum, an AI assistant that scores every message you send (0–100, five dimensions: complexity, novelty, structure, domain expertise, conversational depth) and pays you for the good ones. The underlying idea is that your prompts get sold as training data to AI labs, so you should get a cut instead of it happening for free. Stack: Next.js 16, Groq/Llama 3.3 70B, custom

为订阅业务提供AI驱动的留存智能。
@cobraisystem · X
Manual retention can’t keep up with your acquisition - sees the slip, forecasts the churn, and triggers the save that keeps your growth compounding.