
Telemetry — Observability for AI and LLM apps
Monitor AI model calls, agent steps, and retrieval with token tracking, cost analysis, and latency metrics.
ephraimduncan · HN
Observability for Coding Agents and LLM Applications
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Monitor AI model calls, agent steps, and retrieval with token tracking, cost analysis, and latency metrics.
ephraimduncan · HN
Observability for Coding Agents and LLM Applications

Use 47 pay-per-use APIs for OCR, translation, image generation, and LLM chat.
13639366668 · HN
Pay-per-call MCP server with 47 AI endpoints, micropayments via x402

Compare perpetuals funding rates across platforms to identify arbitrage opportunities.
@cryptolfggo · X
用 DAPPOS @dappOS_com 做了一个 Perps DEX 套利网站,也是我人生中做的第一个网站,简直太绝了! 立即发现 Perps DEX 资金费率套利机会: 最近我没撸啥项目,做的比较多的就是在 Perps DEX 之间做一些价差、费率套利,赚点生活费。其实我一直有想法做一个关于 Perps DEX 套利的网站,但又无从下手。 我知道可以借助AI 帮我做网站,但是往常的 Cursor、Claude Code 、Codex 等 AI coding 工具,对于我这个技术白痴来说还是有点困难。直到我刷到 @dappOS_com 关于 Polymarket Agent SOP 的推文,发现用 @xBubble_ai 做一个网站竟然如此简单,用户仅需陈述:构建一个网站,用于跟踪与伊朗相关的 Polymarket 市场和突发动态,xBubble 马上就做出了一个实用性很强的网站来了! 我用同样的操作生成了一个发现 Perps DEX 资金费率套利机会的网站,我不需要亲自解决服务器环境配置、域名解析、API KEY配置等繁琐技术底层,只需要把我的想法告诉 xBubble ,几分钟内就帮我生成了一个关于发现 Perps DEX 资金费率套利机会的网站,网站包括了套利机会、DEX 对比、收益计算器、观察列表和风险说明等栏目,比我想象的更加齐全! 通过这次 DAPPOS Coding 初体验,我真正感受到了 AI 的强大,原来 OPC 经济(一人公司)早已不是停留在概念阶段了。但你还对 AI 不屑一顾,很多人已经利用 AI 创建了自己的一人公司,实现了阶级的跨越。xBubble 帮小团队和个人彻底抹平了技术雇佣成本,让每一个原本无法变现的细分长尾需求,都变成了能够产生暴利现金流的真实生意。 只有你有点子,就立马去行动,说不定下一个利用 AI 实现阶层跨越的就是你!

Unified workspace for freelancers to manage clients, track billable time, and generate invoices.
@let_basketball · X

Deploy serverless AI models with a single line of code at competitive rates.
Synexa AI — 一行代码部署 AI 模型 (Replicate 50% 低价平替),Synexa 是运行无服务器 AI API 最具性价比的解决方案,提供业界最具竞争力的 A100 GPU 价格,相比其他服务商可节省高达 62% 的 AI 算力成本 - [更多介绍](https://github.com/1c7/chinese-independent-developer/issues/47

Sync your monthly recurring revenue to your X profile automatically.
@arpit_goriya · X

Semantic caching reduces LLM token costs and latency for AI queries.
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]

Real-time used car market analytics platform for tracking pricing, inventory, and trends.
@greekdubliner · X

Analyze your finances from a photo and simulate retirement timelines with Monte Carlo models.
@aiPatri_app · X

Manage invoices, track expenses, chase late payments, and automate tax calculations for freelancers.
@melorexx · X
Let me manage your finance , focus on your work. Get more value...

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

Automatically finds forgotten subscriptions, negotiates bills lower, and files refunds.
@ProfHospLLC · X