
ScaleMock - #1 SDE Interview Preparation Platform | System Design, DSA, LLD
通过AI驱动的模拟面试场景练习系统设计、DSA和编程面试。
@ShivanshAg50455 · X
完整作品展
技术栈
19 projects

通过AI驱动的模拟面试场景练习系统设计、DSA和编程面试。
@ShivanshAg50455 · X

自动将提示词路由到最便宜的模型,节省API成本。
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

查看LLM模型在10个基准问题上的评分和排名。
fristovic · HN
She watched me look at model rankings and asked what do the numbers mean... I literally had no good way of explaining it to her so I just came up with something that is approximately in the same ballpark as some of the benchmarks out there lol

一款无尽跑酷游戏,你扮演忙碌公牛,收集$JAMES代币并躲避Monad市场风险。
@0xNftLegend · X
I built a game for $JAMES lovers. The Busy bull of Monad. Thanks @buildanythingso for inspiring me. My first Vibe Coded game. with no coding knowledge at all.

将CVE漏洞数据转换为机器可读风险信号,供AI代理和自动化系统使用。
robert_marshall5 · Product Hunt
attestd CVE and supply chain risk signals for autonomous AI agents.

开源提示词压缩,在API调用前压缩输入以降低LLM成本。
@asgujjuasitgets · 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]

在 OpenAI、Gemini 和 Anthropic 间路由 LLM 请求,优化成本并满足延迟要求。
Aperswal · HN
Made a Free LLM Router


用Dshelf将PDF转化为宁静的阅读体验,配有精美图书馆和AI页面指导。
@dshelf_app · X

@suni_code Here it is: https://t.co/FJRlXNARp2 Definitely appreciating feedbacks
@sykatt01 · X
Here it is: Definitely appreciating feedbacks

查看 LLM 成本数据,按模型和环境分类,获取优化建议。
ATsimbalistov · HN
Show HN: Tracking GenAI cost and endpoint fragility so app teams don't have to