Productivity1 month ago
sipsip.ai — AI Summarizer, Transcriber & Daily Brief
Transcribe and summarize YouTube videos, podcasts, PDFs, and MP3/MP4 files with AI.
sipsip.ai — 支持30+平台视频AI转录并提取摘要，订阅RSS可以每天发送早报
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Transcribe and summarize YouTube videos, podcasts, PDFs, and MP3/MP4 files with AI.
sipsip.ai — 支持30+平台视频AI转录并提取摘要，订阅RSS可以每天发送早报
View LLM model rankings across 10 benchmark questions.
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
Test small language models (8M-13M parameters) in your browser that work offline.
u/Live_Confusion_3003 · Reddit
I trained an LLM that runs on an ESP32 and directly in the browser Link to try it out yourself is: topk.sh The models download their weights directly in the browser so it works offline. Keep in mind they are very small and inaccurate. (8M and 13M parameters) However, I am building 500M and 1B+ parameter local models for agent based coding and other purposes. I will be shipping hardware designed for these tasks which connect directly to you computer or other device.
Version, test, and deploy LLM prompts from a dashboard without code changes.
@why_deepanshux · X
I Just launched my first SaaS. Late night coding session, white board and my my markers knows what we built. Now it's world's turn. Please checkout Link below.
Route your LLM API requests across multiple providers to cut costs and meet latency targets.
Aperswal · HN
Made a Free LLM Router
Build and host AI-powered applications with data storage and persistent URLs.
@akhileshrangani · X
i built codex micro and used it inside of claude to control codex AND claude code it uses a herdr bridge that is running on my mac talks it through a ngrok proxy uses to render inside of claude
Route LLM calls to cost-effective models without sacrificing quality.
george_avila · Product Hunt
IQ Routing Trajectory-aware LLM routing that cuts agent cost
Workspace to use multiple AI models for research, web search, file analysis, and content creation.
@sahiinthehood · X
Grades AI agents' real conversations with an LLM judge, providing A–F scorecards and FinOps analysis.
@tech_maju · X
Practice LeetCode problems with automated spaced repetition scheduling.
@JoydeepNath007 · X
@launch_llama https://t.co/YsRI7cTzqm https://t.co/EXOr5fEkp0
@melonrice383235 · 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]