惯性聚合 高效追踪和阅读你感兴趣的博客、新闻、科技资讯
阅读原文 在惯性聚合中打开

推荐订阅源

G
Google Developers Blog
云风的 BLOG
云风的 BLOG
Google DeepMind News
Google DeepMind News
让小产品的独立变现更简单 - ezindie.com
让小产品的独立变现更简单 - ezindie.com
博客园 - 三生石上(FineUI控件)
V
Visual Studio Blog
爱范儿
爱范儿
宝玉的分享
宝玉的分享
人人都是产品经理
人人都是产品经理
大猫的无限游戏
大猫的无限游戏
博客园 - 聂微东
月光博客
月光博客
雷峰网
雷峰网
L
LangChain Blog
Stack Overflow Blog
Stack Overflow Blog
B
Blog RSS Feed
有赞技术团队
有赞技术团队
T
Tailwind CSS Blog
阮一峰的网络日志
阮一峰的网络日志
V
V2EX
CTFtime.org: upcoming CTF events
CTFtime.org: upcoming CTF events
C
Check Point Blog
N
Netflix TechBlog - Medium
罗磊的独立博客
博客园 - 司徒正美
OSCHINA 社区最新新闻
OSCHINA 社区最新新闻
F
Full Disclosure
Security Archives - TechRepublic
Security Archives - TechRepublic
V
Vulnerabilities – Threatpost
H
Help Net Security
博客园 - 【当耐特】
博客园_首页
Microsoft Security Blog
Microsoft Security Blog
小众软件
小众软件
Hugging Face - Blog
Hugging Face - Blog
L
Lohrmann on Cybersecurity
C
Cybersecurity and Infrastructure Security Agency CISA
P
Privacy International News Feed
Blog — PlanetScale
Blog — PlanetScale
C
CERT Recently Published Vulnerability Notes
P
Privacy & Cybersecurity Law Blog
酷 壳 – CoolShell
酷 壳 – CoolShell
Cisco Talos Blog
Cisco Talos Blog
K
Kaspersky official blog
D
Darknet – Hacking Tools, Hacker News & Cyber Security
Cyberwarzone
Cyberwarzone
S
Schneier on Security
S
SegmentFault 最新的问题
C
Cyber Attacks, Cyber Crime and Cyber Security
S
Securelist

DEV Community

Authentication Security Deep Dive: From Brute Force to Salted Hashing (With Java Examples) Why AI Systems Don’t Fail — They Drift Spilling beans for how i learn for exam😁"Reinforcement Learning Cheat Sheet" I Replaced Chrome with Safari for AI Browser Automation. Here's What Broke (and What Finally Worked) How Python Borrows Other People's Work The $40 Architecture: Processing 1 Billion API Requests with 99.99% Uptime Vibe Coding: A Workflow Guide (From Zero to SaaS) Most webhook security guides protect the wrong side. The scary part is delivery. Headless CMS for TanStack Start: Build a Blog with Cosmic EU Age Verification App "Hacked in 2 Minutes" — What Actually Happened Comfy Cloud’s delete function does not actually remove files Running AI Models on GPU Cloud Servers: A Beginner Guide Event-driven media intelligence with AWS Step Functions and Bedrock I scored 500 AI prompts across 8 quality dimensions — here's what broke How to Call Google Gemini API from Next.js (Free Tier, No Backend Needed) The Portal Protocol: Reclaiming Human Connection in the Age of AI How to Fix Your Team's Scattered Knowledge Problem With a Self-Hosted Forum Intro to tc Cloud Functors: A Graph-First Mental Model for the Modern Cloud Designing Multi-Tenant Backends With Both Ownership and Team Access I Built a Neumorphic CSS Library with 77+ Components — Here's What I Learned PostgreSQL Performance Optimization: Why Connection Pooling Is Critical at Scale Cómo construí un SaaS multi-rubro para gestionar expensas en Argentina con FastAPI + Vue 3 🚀 I Built an Ethical Hacking Scanner Tool – Open Source Project I Replaced /usage and /context in Claude Code With a Single Statusline A Pythonic Way to Handle Emails (IMAP/SMTP) with Auto-Discovery and AI-Ready Design I Collected 8.9 Million Polymarket Price Points — Here's What I Found About How Markets Really Move EcoTrack AI — Carbon Footprint Tracker & Dashboard Everyone's Using AI. No One Agrees How. 5 self-hosted ebook managers worth trying in 2026 Building Your First AI Agent with LangChain: From Chatbot to Autonomous Assistant Common SOC 2 Failures (Real World) Stop Vibe-Checking Your AI App: A Practical Guide to Evals How to Use SonarQube and SonarScanner Locally to Level Up Your Code Quality Your Next To-Do App Is Dead — I Replaced Mine with an OpenClaw AI Sign a Nostr event in 60 lines of Python using coincurve — no nostr-sdk, no nbxplorer, no rust toolchain ITGC Audit Explained Like You’re in Big 4 Patch Tuesday abril 2026: Microsoft parcha 163 vulnerabilidades y un zero-day en SharePoint Stop scraping everything: a better way to track competitor price changes Listing on MCPize + the Official MCP Registry while routing payments OUTSIDE the marketplace — how I kept 100% of my x402 revenue Building an AI-Powered Risk Intelligence System Using Serverless Architecture Why We Ripped Function Overloading Out of Our AI Toolchain Testing AI-Generated Code: How to Actually Know If It Works SaaS Churn Is Killing Your Business. Here Is What to Do About It (Without a Support Team) The Speed of AI Is No Longer Linear - And Self-Improving Models Are Why How to Implement RBAC for MCP Tools: A Practical Guide for Engineering Teams From Standard Quote to Persuasive Proposal: AI Automation for Arborists I built a CLI that scaffolds complete multi-tenant SaaS apps Axios CVE-2025–62718: The Silent SSRF Bug That Could Be Hiding in Your Node.js App Right Now The dashboard that ended our friendship Data Pipelines Explained Simply (and How to Build Them with Python) The Hidden Cost of AI Systems Nobody Talks About. undefined vs undeclared, and how typeof behaves Switching from file-based jobs to NATS/Kafka in Rust without changing code io_uring Adventures: Rust Servers That Love Syscalls Why Agentic AI is Killing the Traditional Database The POUR principles of web accessibility for developers and designers Quantum Neural Network 3D — A Deep Dive into Interactive WebGL Visualization How To Install Caveman In Codex On macOS And Windows Automation Pipeline Reliability: Why Your Workflow Breaks When Nobody Is Watching I Built an 'Open World' AI Coding Agent — It Works From ANY Folder From Freelancing to Product: A Tech Service Company's SaaS Transformation China's AI Giants: Adding Tencent Hunyuan & ByteDance Doubao to AI University (74 Providers) On the Vibe Coders and Their Lies clerk: Auto-Summarize Your Claude Code Sessions AI Weekly — 2026/04/10–04/17 | The Model Lockdown Is Here, but the Toolchain Is the Real Battleground AI 週報 — 2026/04/10–2026/04/17 模型封鎖潮來了,但工具鏈才是真戰場 Maybe this is how Open-Source apps are born... 🚀 Fine-Tune LLMs with LoRA and QLoRA: 2026 Guide tRPC v11 + Next.js App Router: End-to-End Type Safety Without the Boilerplate ShadCN UI in 2026: Why I Stopped Installing Component Libraries and Started Owning My Components SaaS Billing in React Server Components: Stripe + Supabase Without a Single `useEffect` Join our DEV Weekend Challenge — $1,000 in Prizes Across TEN winners! Submissions Due April 20 at 6:59 AM UTC. Implementing FSRS Spaced Repetition in Flutter + Supabase — Adding Memory Science to an AI Learning App "I Texted My Localhost From the Train — Claude Code Fixed the Bug Before I Got Home" I Built a Sales Prep AI and It Went Deeper Than Expected Design to Code #2: One JSON, Eleven Outputs Solving the 100M-Row Problem: A Summary Table Pattern for High-Volume Push Notification Logs Flutter Web With Wasm: What Actually Changes For Developers I Built 50 Royalty-Free Soundtracks for My Side Project in a Weekend Using AI Music Generation The Vibe Coding Security Checklist: 7 Things to Check Before You Ship Stop Letting Googlebot Guess Fix Your React App's SEO Right Desconstruindo o Streaming do LinkedIn: Como Criar um Engine de Extração de Vídeo de Alta Performance com HLS e FFmpeg (EDA Part-1) EDA (Exploratory Data Analysis) Explained With Real Life — Why Looking at Your Data Is the Most Important Step in Machine Learning Brand Relationship Management at Scale: Our 4-Touch Outreach System for 200+ Brands Why String.fromEnvironment() Might Return an Empty String in Dart JGuardrails 1.0.0 — Hardening Java LLM Apps Against Jailbreaks, Toxicity, and Prompt Injection Plan and Schedule a Full Week of Threads Content From One Claude Conversation Coding Cat Oran Ep3, Five Tables Changed Everything Updated: BFF Pattern I'm done watching freelancers get buried by 200 proposals. So I'm building the alternative. This is my first post BFS Algorithm in Java Step by Step Tutorial with Examples Tracking LLM Pricing Monthly: An Open Dataset for 22 AI Models How We Measure Content ROI on a Comparison Site: Revenue Attribution Without Perfect Data Introducing Nova AI Ops: The AI-Native Operating System for SRE Teams I built a free desktop video downloader for Windows — Grabbit How Talkie OCR Helps Vision-Impaired & Dyslexic Users Read the World Around Them VRCFaceTracking安装和iPhone面捕配置教程,有bug Even CrowdStrike Can't See Your Agents The Automation Gold Rush: What n8n Workflows and Claude Are Opening Up for Developers Right Now
What I Learned Building an peptides tracker app for My Girlfriend's Stack
Alex · 2026-06-26 · via DEV Community

A few months ago my girlfriend went down the peptides rabbit hole. GLP-1 first, then a bunch of others whose names I still struggle to spell. She started looking for a tracker and hated everything she found — too clinical, too spreadsheet-y, not something you'd actually want to open every morning.

So I built one, Her own peptides tracker app.

Here's what I picked up along the way.


The real constraint was emotional, not technical

She didn't just want a functional app. She wanted one that felt good to use. "Premium" was the word she used.

That sounds vague until you look at what the competition was doing: harsh blue-and-white grids, data-dense layouts, the kind of interface that makes you feel like you're managing a clinical trial rather than your own body.

I talked to a friend who's a therapist about color theory before I touched a design file. She walked me through how certain palettes — especially high-contrast, heavily saturated ones — create friction and low-grade stress. The design choices most health apps make work against the habit they're trying to build.

So the first real lesson: the aesthetic IS the product, when your product is a daily habit. If the app feels like a chore to open, people won't open it.


Dose calculation is deceptively hard

The dose calculator was the feature that took the most iteration. You enter your vial size, how much bacteriostatic water you used for reconstitution, and the dose you want — and it spits out exactly how many units to draw.

Simple premise. Painful reality.

Peptides are measured in different units depending on the compound: mcg, mg, IU, mL. Some compounds are dosed in micrograms, others in international units, and the conversion between them isn't universal — it depends on the specific compound. A lot of calculators online get this wrong or oversimplify it.

Getting the unit conversions right, and making the UI simple enough that someone half-awake at 7am could use it without second-guessing themselves, took several rounds of testing. That's a pattern I keep running into: the features that seem small on a spec sheet are often the ones that require the most careful thought.


"No spreadsheet" is a design brief, not just a preference

When she said she didn't want it to feel like a spreadsheet, I initially treated that as a visual note. Rounded corners, softer colors, done.

It's not that simple.

Spreadsheets feel like spreadsheets because of information density and interaction model, not just looks. Every row visible at once. Edit mode that requires navigation. A sense that the interface is waiting for you to input data rather than guiding you through a day.

The Today view I built works differently: you see your schedule for the day, you tap to log a dose, and the card disappears. One action at a time. When you're done, it shows a quote. That last bit was her idea, and it matters more than I expected — it gives the session a sense of completion rather than just... stopping.


Compound library decisions have downstream effects

I built a library of 50+ peptides with categories and search so users don't have to type compound names by hand. This seems like a convenience feature, but it shapes the entire protocol-building experience.

When people add a compound to their stack, they pull it from the library. Each compound gets its own mini-protocol: dose, unit, injectable or oral, schedule (daily, every other day, specific days), and an optional end date for timed cycles.

Having the library meant I had to make decisions about categorization. Which compounds belong together? How do you label things in a way that's useful without implying medical guidance? I ended up including basic descriptions so users can learn about something before adding it — that felt more responsible than just listing names.


The wellness check-in was an afterthought that became the heart of it

The mood/wellbeing log was a late addition. She asked for it and I almost skipped it. It's not core to tracking peptide doses.

It turned into the feature she was most excited about. There's an animated blob that reacts to how you're feeling when you log your check-in. She said it was her favorite thing to build together (she was designing while I was coding).

In retrospect, it makes sense. The whole point of tracking health protocols is to understand how your body is responding over time. Logging doses without logging how you feel is just half the picture. The calendar history view ties both together — you can look back at a week and see not just what you took but how you were doing.


Freemium structure for a niche app is harder than it sounds

The basic scheduling is free. The other features — dose calculator, compound library, wellness check-in, history, shareable progress card — are premium with a free trial.

I went back and forth on what to gate. Too aggressive and the free tier is useless; too generous and there's no reason to upgrade. For a niche health app where users are already spending money on peptides, price sensitivity is lower than usual, but trust is higher. People want to know the app is maintained and will be around.

I haven't fully solved this. It's a real ongoing calibration.


What I'd do differently

I underestimated how much time the App Store review process would take, and how many small decisions (screenshots, descriptions, category selection) would matter for discoverability.

I also built some features in an order driven by what was interesting to build rather than what would be most valuable to users first. The dose calculator should have come before the shareable progress card. Shareable cards are fun; accurate dosing is the actual point.


The peptides tracker app is called Milos and you can find it here.

She uses it every day. That's the metric I care about.