
AskLedger — Cut your AI spend, and prove the savings are real
扫描AI账单找出浪费支出,用防篡改证据证明节省成本。
@askrashidkhan · X
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扫描AI账单找出浪费支出,用防篡改证据证明节省成本。
@askrashidkhan · X

按地点或材料类型搜索回收中心,找到附近投放地点。
@KSertttttttt · X

检查LLM权重张量的交互式工具,支持量化误差和分布分析。
alesha-pro · GitHub
atlas Interactive canvas for taking an LLM apart tensor by tensor: measured INT8/INT4/FP8 error, distributions, spectra and outlier channels for every weight tensor

为升降设备完成、签署并发送LOLER和PUWER检查报告。
@rj120781 · X
Check out what I just built with Lovable!

A high-stakes live advertising death match. Pay to rank #1 and add seconds to the countdown clock. If the clock hits 00:00:00, the site dies forever and the #1 king is immortalized
@payordie_lol · X
keep that clock ticking! ❤️

在浏览器中使用免费加权决策矩阵做出复杂决策。
@bjoern_live · X
Make complex decisions easy.

Pick a deadline. Pay your sentence. Ship the thing. Fail, and you join the Wall of Shame.
@alecjbeckett · X
Building 😅 A place where founders publicly commit to what they’re shipping and when. Miss the deadline? You get shamed. Figured “building in public” could use some consequences 😂

Rust游戏玩家用的计算器和规划工具,适合游戏进程中快速查阅。
Rust Calculator — Stream 游戏 Rust 工具网站

Stop sending outdated PDFs. Brandready gives creators a live media kit with engagement stats, audience data, rates, and a shareable link. Free to start. Works globally.
@worththesub_ · X
building a live media kit for creators to share stats, rates + audience data with brands without sending another outdated PDF. also lets you see when brands actually open your kit👀

私人日记应用,为家人保存记忆并传承数字遗产。
@Rustam280592 · X
Day Etch is your second memory. Day Etch - your experience as intellectual capital for future generations. We are creating not just a diary, but a repository of life.

FreeFixo:125+ 免费计算器,涵盖金融、健康、法律、房产和旅游,无需注册。
@Arafat3599651 · X
Just launched 🧮 125+ free calculators — mortgage, BMI, debt payoff, compound interest, calories & more. No signup. No ads. Everything runs in your browser instantly. #buildinpublic #webdev #react

把文档转化成有引用出处的wiki,由AI独立验证答案。
u/Calm-Tomatillo-7770 · Reddit
Is vibe coding criticism fair? A lot of the criticism of vibe coding is fair. Too many projects look good in a demo then fall apart in production — weak security, missing edge cases, code nobody understands later. One of the biggest gaps is testing (or the total lack of it). I took both automated and manual testing seriously while building Brainary. Ended up with a testing-to-code ratio of about 1 to less than 3, plus a lot of hands-on checking. I think it turned out solid because of that.