
OpenLLM — All your LLM needs in 1 place
Format-agnostic LLM hub. Bring your own provider keys and route across Anthropic, OpenAI, ChatGPT/Codex, Kimi, Alibaba DashScope, and AWS Bedrock — with unified observability and c
@0xxmemo · X
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Format-agnostic LLM hub. Bring your own provider keys and route across Anthropic, OpenAI, ChatGPT/Codex, Kimi, Alibaba DashScope, and AWS Bedrock — with unified observability and c
@0xxmemo · X

LLM驱动的新闻聚合器,实时呈现和更新热门故事。
tdubey · HN
DWS A LLM Generated, "Drudge Report" style news site

向多个前沿大模型提问,获得经过同行评审的综合答案。
u/Puzzleheaded-Log-27 · Reddit
Building a multi-model AI deliberation tool taught me something about trust LLM Counsel isn't another wrapper around one model - it sends your question to a panel of frontier LLMs, has them peer-review each other anonymously, and an impartial "chairman" model returns one synthesized answer. Free to start, pay-as-you-go after, credits don't expire. What I've learned so far: people trust a synthesized answer a lot more once they can see that the models actually disagreed and how that disagree

FlexInference: 通过多个提供商路由LLM API请求,降低成本和延迟。
Aperswal · HN
Made a Free LLM Router
Paisa——个人预算与债务追踪应用,离线友好,可追踪收入、支出和借贷。
@Diplomatic_boy · X
Check out what I just built with Lovable!

压缩LLM提示词和文档以降低token使用和API成本
@marcusyul · X
THEY JUST GAVE AWAY 100 MILLION FREE TOKENS SO YOU CAN STOP BURNING THROUGH YOUR CLAUDE CODE BUDGET. if you code with AI you already know: the session fills up, starts failing, and on top of that you're overpaying there's a tool that fixes this: it shrinks the context before the model even sees it same model, same response, a fraction of the cost in a real session: from $154 to $43. a 72% drop and right now: → extend your Fable sessions in Claude Code → 100M free tokens to try it out you don't switch models you don't touch your code you just stop paying to repeat yourself link below ⬇️

观看两个 LLM 在物理竞技场剑战,盲投选择更聪明的。
u/Time-Shelter-35 · Reddit
I built a site where two LLMs sword-fight in real physics and you blind-vote who's smarter Two months ago I thought: what if the AI benchmark was just… watching them fight. So: https://stickblade-arena.vercel.app Two random LLMs get stickman bodies in a pymunk physics arena They each turn output JSON moves (swing, block, dash, shoot bow, throw flail…) Ragdolls, momentum, weapon collisions, the whole bit You watch the replay without knowing which model is which and vote who f

分享链接上传收据,LLM 自动分类和整理。
jahnoikka · HN
Sorted Receipts - clients dump receipts in one link, LLM sorts them

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

压缩提示词以减少向LLM API发送的token数量和成本。
@asgujjuasitgets · X

在欧盟托管私有 LLM 实例,固定月费无使用限制。
CodingPanda42 · HN
Virtual Private LLM, fixed fee with no usage or token limits

Qurative将PDF转换为自适应练习题和个性化复习流程。
@qurative · X
vibe coded a landing page for seo and shit, will fix it later focusing on adding features to the dasboard