@PythiaAIOracle · X

quote_first · Product Hunt

QuoteFirst AI Know what every AI prompt will cost before you run it

u/maybeImakemoney · Reddit

I built the thing. Now I am not sure the base use case is one people will pay for. Founder here. This started as a side learning project to see whether an LLM could answer questions about Excel data, back when they could not do it well. I built the first version on n8n, with workflows that ingested files, generated metadata with an LLM, and answered questions against the converted data plus that metadata. Then I started using it for my own analysis and report generation, saw that the time sav

@thread_snoop · X

Give you claude/codex free access to search through reddit :)

cdnsteve · HN

Tokenstead, find AI models for your hardware

@askrashidkhan · X

@AnupamP36864573 · X

I am building the cheapest Serp Api Tool -

ssgonella · HN

QuantumReckon – find your real cloud and AI spend, including tokens

Dgeloe4-yb · GitHub

market-pilot Evidence-grounded market research prototype with traceable AI workflows.

@buckycodes · X

@vish8287 · X

We have gone deep and there is no looking back. We are a vibe coded system but not an AI wrapper ! We believe in data and build deep insights into financial markets ! This can be accessed at - Do check it out !

@xiaoheihei257 · X

📢 大消息！Gemini 3.6 Flash 和 Gemini 3.5 Flash-Lite 已经在 API 正式上线了！🚀 最近模型更新越来越频繁，这次 直接把两个新版本推出来，实际用起来感觉又进了一步。 先说 Gemini 3.6 Flash： 它是 3.5 Flash 的升级版，输出质量明显更好，但价格完全没变。最关键的是 token 消耗减少了大概 17%，遇到 DeepSWE 这种复杂代码生成任务，最多能省下 65% 的 token，成本直接降下来了，性价比很高。 再看 Gemini 3.5 Flash-Lite： 这是 3.5 系列里跑得最快、最省钱的那个，输出速度最高能达到 350 tokens/s。特别适合做高频任务，比如批量处理文档、Agent 实时搜索这些场景，用起来又快又稳，不会卡顿。 的模型生态现在越来越丰富了，两个新模型都支持官方 API 直接调用，开发者用着也方便。整体看下来，AI Agent 时代的底层支持又扎实了不少。 有在做 AI 项目或者日常调用大模型的朋友，不妨去试试新版本，体验应该会挺惊喜的～ @justinsuntron @BAI_AGI #TRONEcoStar