7 Harsh Truths About MVPs I Learned Building 30 in a Year

A founder showed me his dashboard today. 10 products launched. Thousands of users across them. Revenue across all 10 combined? Almost nothing. His conclusion was that he hadn't found the right idea yet. I'm not sure that's true. Because when I asked how long he'd worked on any single product after launch, the answer was usually a few weeks. AI has created a weird new founder archetype: Someone who can build almost anything... but never sticks around long enough to find out if anyone wants it. Do you think most people have an idea problem? Or a patience problem?

Fable makes Opus feel way less capable than I remembered.

Once Fable comes back, it's over. I'm throwing in: > every difficult decision I'm avoiding > every project that's stuck in limbo > every market I'm curious about > every skill worth learning > every process I want to automate > every assumption behind my business > every prediction I want to test

Lowkey terrified of a future where all the models get banned and we're forced to remember how to code everything ourselves 😭

A software engineer with 10 years of experience shared the biggest mistake most vibe coders make. it's costing them way more than they realize. here's what happened: 1/ most people use AI as the worker >want to monitor a website >ask the AI to check it every day >AI runs every day >tokens get burned every day the task gets done. but the costs never stop. 2/ his advice was simple don't use AI as the worker. use AI as the builder. spend tokens once. then run the output forever. 3/ his example >want to track changes on a website >have Claude Code write a scraper >have it detect updates >have it send alerts automatically the AI builds the system once. the system does the work forever. 4/ he applies this everywhere >automation scripts >monitoring tools >internal workflows >custom software instead of paying AI to repeatedly solve the same problem... he pays AI once to eliminate the problem. 5/ then he took it further >used Claude Code to build a neural network >something that would've taken weeks to build manually >generated the entire foundation while he was making dinner again: >one-time token cost >long-term free execution the mindset shift: most people are using AI as labor. he uses AI as infrastructure. my take: this is probably one of the most important concepts in AI right now. the highest leverage use of AI isn't asking it to do work. it's asking it to build assets that keep working after the conversation ends. the best AI outputs aren't answers. they're systems.

It's so over for anyone who went all-in on Claude Fable 5. The US government just pulled access. Back to Opus 4.8 starting today. Pretty brutal considering how many teams just rebuilt their workflows around Fable.

after 100 lovable apps, these are the rules i refuse to break: 1. don't start with screens. start with users, workflows, permissions, and edge cases 2. design your database before your UI. bad schemas are expensive. ugly UI is cheap 3. generate auth and roles first. permissions become painful to retrofit later 4. ask for one feature at a time. "build the whole app" creates cleanup, not progress 5. tell lovable exactly what NOT to touch. otherwise it'll refactor working code while fixing something else 6. when something works, commit immediately. never trust future prompts 7. use separate chats for separate features. context pollution is real 8. make lovable explain the implementation plan before writing code on larger features 9. create reusable primitives before features. buttons, forms, tables,

$2M for a screenshot app 🤯 That little icon got them $2M in funding? need to focus on icon more than product now

25 signs your vibe-coded app is one deploy away from BREAKING in prod security 1. api keys sitting in code "will move later" 2. auth routes have no rate limit 3. cors set to * just to make it work 4. same tokens used in dev, staging, prod data 5. database structure changed but no migration files 6. backups enabled but never tested restore 7. big queries pulling full tables every time 8. server accepts whatever client sends reliability 9. error handling = console.log and move on 10. logs only checked when something breaks 11. you learn the site is down from user messages 12. timezones handled differently in backend and frontend 13. frontend calling third-party APIs directly deployment 14. no CI pipeline, everything manual 15. deploy steps written nowhere 16. no real staging, just testing on prod carefully 17. only one person knows how deployment works 18. env variables only exist on your laptop codebase 19. one huge component running the whole screen 20. cleanup tasks keep getting postponed 21. feature flags managed by commenting code 22. no proper setup guide for new devs product 23. no analytics, just guessing user behavior 24. no tests, just clicking around before release 25. every bug fix creates two new bugs copy this into Claude Code: "Audit my app against every item in this list. For each issue: - tell me if it exists - explain the risk - estimate impact on reliability, security, and maintainability - provide exact fixes - generate the code, configs, migrations, and setup steps required Then create a prioritized action plan. Start with issues that could cause outages, security vulnerabilities, data loss, or deployment failures. Implement all fixes you can automatically and create PR-ready changes where possible."

Everyone's talking about Claude Fable 5. Almost nobody is talking about the fact that the core ideas were already being shown publicly by the creator of Claude Code. For free. Sub-agents. Memory. Hooks. Planning before execution. (full breakdown in the article)

HOLY SH*T. The biggest Claude Code unlock has nothing to do with Claude. It's memory. Most builders spend hours re-explaining: → project structure → coding conventions → preferred patterns → things Claude should never touch Every. Single. Session. The best builders turn those lessons into CLAUDE.md and make Claude read them automatically. That's when outputs start feeling consistent. (full breakdown in the article)

Vibe Coding PRO MAX TIP : most CLAUDE[.]md files are missing the stuff that actually matters. mine contains things like: - every API route must return: { success, data, error } - every Supabase table gets: id, created_at, updated_at no exceptions - React Query for server state Zustand for UI state never use one for the other's job - route handlers can validate and call services business logic never lives there - Stripe webhooks go in their own service never mixed with API route logic - every form uses the same Zod pattern parse -> validate -> service -> response - no component above 200 lines split before it becomes a problem - all list endpoints require pagination no fetch-all queries - every async action needs: loading state error state success state - all admin actions require audit logs - all file uploads require: file type validation size validation auth validation - every new feature follows: schema -> service -> API -> UI