
Metriq Body — The Plan That Adapts When You Stall
Know exactly what to eat and exactly what to lift. A gram-precise nutrition and training protocol computed from your biology, then re-computed every week from what you actually log
@0mislice · X
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Know exactly what to eat and exactly what to lift. A gram-precise nutrition and training protocol computed from your biology, then re-computed every week from what you actually log
@0mislice · X

Buy a proven method, make it your own, and check off steps to the outcome. The anti-course: short, active, finishable.
@victorzamfir · X

上传肽类COA验证真实性并识别伪造标记。
@DanielGPT2022 · X
I made an app for peptides users, that will hopefully adress their trust issues:

Stepflo 连接 GitHub 代码库,自动检测用户流并生成可视化地图。
u/freestyle_gonzo · Reddit
Vibe coding made building fast. It didn't make understanding easy. Something changed in the last year. Vibe coding (or agentic engineering if you ask some) made writing an app fast. Week-to-weekend fast. More people are building software than ever before, and I think that's a genuinely good thing. But fast building creates a new bottleneck. Writing code is no longer the hard part. Understanding what you built and its nuances is. A huge share of people shipping right now have never analyzed

管理学术会议:提交和审阅论文、处理日程安排和注册。
@harryjwang · X
I've used many of the major conference systems. Plenty still have docs as an unsearchable static site — or worse, as PDFs that stopped tracking the product three versions ago. Somehow, still true in 2026. We took an AI-first path with instead. Our docs are generated from the codebase itself. A custom Claude Code skill writes each page and retakes the screenshots whenever a feature changes — so the docs don't drift from the product. Every page still gets reviewed by a human before it ships. Now you can talk to them, too. We just shipped "Ask AI" over our docs: This feature also turned out to be a nice teaching case for agentic RAG vs. classic RAG: • Classic RAG: chunk → embed → vector DB → retrieve once, by fixed rules • Agentic RAG: hand the model a search tool and let it drive — write a query, read the results, rewrite, retry At more than 100 pages, still no vector database needed. And every answer cites the exact page it came from. #Age

用AI快速生成、发送并签署客户提案。
sahil423 · HN
18y/O buidling an AI proposal OS and generator


Turn happy customers into social proof. Collect via link, form, or QR — then embed a wall of love on any site with one line of code. Free plan.
@usetestimoni · X
Testimoni — the fastest way to collect and display customer testimonials. Multi-channel forms → curated widgets → 1-line embed. That's it. Free plan. No credit card required. Made in 🇮🇳 👉

用AI将日程表转化为英文课程,在Animal Crossing风格小岛上学习词汇。
@lzhgus · X
My kid goes to an English-only school in the US, but we speak Chinese at home. So I built her a tiny Animal Crossing-style island to learn English 🏝️ Snap a pic of the teacher's daily schedule → AI turns it into a lesson pack → she learns words from animal villagers, shakes apple trees, goes fishing 🎣 100% hand-written Three.js, zero assets, no backend. Try it:

Waysorted - 与其他软件集成的设计工具套件
@aviralgarg05 · X
Here's what you get on One toolkit. Every design task.

Otterdeck writes three priced proposal options in minutes — in your client's currency — then tracks opens and turns accepted proposals into invoices.
@otterdeckhq · X
Otterdeck's AI turns a project brief into three client-ready proposals in minutes, in any currency — then tracks opens, captures sign-off, and invoices accepted ones, so you win more work and get paid.

Send invoices, collect deposits, and get e-signed contracts — free to start. Lead Invoice Flow is the simple invoicing app built for photographers, contractors, coaches, and indepe
@marketmaxing · X