@erasepersonal · X

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]

AshHackerNews · HN

AgentReady – MCP server that makes any docs site queryable by AI agents

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

@tobio_ojebiyi · X

apoorvumang · HN

TokenPath – token-level citations for LLM output, read from attention

@PrivacyPulse4U · X

Most data privacy tools rely on slow manual requests. At our AI agents continuously scan, identify, and automatically remove personal data from data broker sites—then monitor 24/7 to block relistings. Automated pipeline = hyper-scalable protection. 🛡️⚡

@iyoaisi · X

排名第一的大佬@CrypSaf是这么玩的！ 连夜给活动@commonsmade做了一个实时查询网站，输入任意人的X账号，能看到投票和砍票明细！ 这个👇

taylorgt · HN

Find every AI model your code calls and warn before it's retired

@SecraHQ · X

bingus-bongo · HN

Use GLM-5.3 in Cursor today via tokengo API