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Huzaifa
27.8K posts
Huzaifa
@huzzymad
From idea to working AI system in days, not months. Built 50+ AI apps/automations. Saved clients 500+ hours & $10k+. Sharing what I'm learning in the trenches.
Murd*rer of broken operations Katılım Ağustos 2023
171 Takip Edilen349 Takipçiler
Second and third order effects of every app/website becoming an app store:
1. The 30% Apple and Google collected for decades gets distributed across millions of builders. The biggest wealth transfer in the history of software happens
2. Your data is now scattered across 500 micro apps. The person who aggregates it sells it back to you.
3. Microapps become a massive headache for IT because they aren’t approved and we all get addicted to them.
4. Data fragmentation gets so bad that the person with clean unified data about you becomes more valuable than any single app.
5. Physical retailers start shipping micro apps as part of the product. You buy the blender and get the app that runs it.
6. Insurance companies can't underwrite software liability anymore. Every app is a new unknown risk.
7. Software distribution becomes a real estate business. The platforms with existing eyeballs extract all the margin.
8. Doctors, lawyers, and accountants etc start competing on software
9. Micro apps expose how little most SaaS products actually do. Turns out you needed four features not four hundred and the incumbents cannot unbundle themselves fast enough.
10. Every niche industry gets its first real software. The dry cleaning industry, the fishing industry, the funeral industry. Sectors that enterprise software never touched.
11. The gap between knowing an industry and being able to build for it collapses. Domain experts become the most dangerous founders.
12. Lawyers start winning cases based on who has better micro apps
13. Micro apps make pricing transparency unavoidable. When anyone can rebuild your product in a weekend you cannot charge rent forever.
14. Kids who grow up now will never understand why you had to wait for a company to build what you needed.
Logan Kilpatrick@OfficialLoganK
With AI coding, it’s possible every app / website becomes an App Store. The second and third order effects of this are interesting to think about.
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"Slow down, enjoy your youth"
Respectfully, screw that.
The best way to spend your youth is to build the foundation of the life you want to live.
I'm not saying you have to shave your head, go monk mode, and ghost your friends and family. But there has literally never been a better time in history to create things, experiment, and try stuff.
You have the library of Alexandria at your fingertips. You can connect with anyone on the planet with a few clicks of a button.
Why would you not want to take advantage of that?
"But I'm too young!!"
Rafael Nadal was dominating professional tennis at 19. Taylor Swift got her first record deal at 14. Alexander the Great became king of Macedonia at 20 and had conquered the Persian Empire by 25. Cleopatra became co-ruler of Egypt at 18. Joan of Arc led the French at 17. Isaac Newton created calculus at 22.
Need I go on?
History has always been shaped and forged by the young. They just got recognized when they were older.
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@danshipper I've been playing more of the pirate role recently at my job but also exploring the architect on the side
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new model for engineering team structure in 2026:
2 people only
one pirate and one architect
the pirate's job is to move as fast as possible to develop valuable, shipped product features by vibe coding.
the architect's job is to turn the product surface discovered by the pirate into a reliable, structured machine—also by vibe coding, but at a slower, more well-reasoned pace.
every product needs a pirate but most product's only need an architect once they some form of PMF, and in that case they usually don't need one full-time. architects can work across many codebases and solve interesting technical challenges. pirates go hard on a product that they own end-to-end.
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this is fucking wild.
41% of all code is AI-generated now. close to 90% at google and anthropic.
everyone’s racing to write more. but the real problem is what happens when it hits prod.
this stanford researcher trained under the guy over at databricks. worked on GPT-2 at OpenAI. left to build a system that simulates how code behaves before you ship it.
CTOs getting back 30% of their eng team’s time without a single new hire is massive..
Animesh Koratana@akoratana
Introducing: PlayerZero The world's first Engineering World Model that puts debugging, fixing, and testing your code on autopilot. We've raised $20M from Foundation Capital, @matei_zaharia (Databricks), @pbailis (Workday), @rauchg (Vercel), @zoink (Figma), @drewhouston (Dropbox), and more PlayerZero frees up 30% of your engineering bandwidth by: 1. Finding the root cause for bugs & incidents in minutes that engineering teams take days to identify. 2. Predicting in minutes, edge case issues that a 300-person QA team would take weeks to find. ------ Here's why this matters: No one in your org has a complete picture of how your production software actually behaves. Support sees tickets. SRE sees infra. Dev sees code. Each team builds their own fragmented view - and none of these systems talk to each other. When something breaks, everyone scrambles to stitch the picture together by hand. PlayerZero connects all of it into a single context graph - → The Slack thread where your lead said "we went with X because Y fell apart in prod last time" → The PR review where an engineer explained the tradeoff → The lifetime history of your CI/CD pipeline, observability stack, incidents, and support tickets So you can trace any problem to its root cause across every silo. And it compounds. Every incident diagnosed teaches the model something new. The longer it runs, the deeper it understands - which code paths are high-risk, which configurations are fragile, which changes tend to break which customer flows. So when you sit down to debug a live issue, you have your entire org's collective reasoning and production memory behind you - instantly. ------ Zuora, Georgia-Pacific, and Nylas have reduced resolution time by 90% and caught 95% of breaking changes and freeing an average of $30M in engineering bandwidth. ------ Our guarantee: If we can't increase your engineering bandwidth by at least 20% within one week, we'll donate $10,000 to an open-source project of your choice. Book a demo - bit.ly/3NlLMeN
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when you’re in deep work it’s nice to step back and look at some recent wins
A few of mine that I’m proud of:
- the vibe marketers community is close to 3200 members. Over 1100 registrants on our last workshop
- my daily ads experiment that I built myself is making a few thousand $ month small but always cool to take something from idea to shipped to validate it, will integrate it into something bigger soon
- skills have become a great business, V2 was a hit, V3 soon will take it to the next level
- have had some major breakthroughs on something I think will shift the marketing world. been doing live feedback / customer discovery calls, will launch soon. Feels good to turn a huge vision into something real.
keep vibing and keep shipping!!
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@danshipper sometimes it might take you 5 hours to vibe fix a simple issue...
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if you can vibe code it you can vibe fix it
but you can't always vibe fix it quickly
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@rachcorrine as someone who's inside AI for most of his days, I second.
AI to automate the boring crap while doubling down on your humanness...
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AI steals your soul and wrangles your guts idc what anyone tells you. “Adapt or die” but the pendulum always swings and it’ll swing back. “Luxury” will look like ocean swims and fresh fruit and home cooked meals and linen and reading by candlelight and not a phone in sight.
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Nobody's coming to tap you on the shoulder and say, "Hey, it's your turn now."
If you want something, you have to go get it.
Jay Yang@Jayyanginspires
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I see this shit each day and if you listen to it you will be poor at 40
"10k/m with couch flipping"
"10k/m with ai automation biz onlyfans management"
"10k/m with openclaw automated biz management"
the only skill you need to learn, invest in, obsess over is MARKETING at it's core
paid ads, organic, backend, info, ecom, etc it's all the same buyer and consumer psychology
study the core foundations of marketing, why people buy, how someone can hand you over 50k in one invoice with zero selling and you can selling anything to anyone. the vertical you choose to run with after does not matter. if you decide to run your own info product , if you decide to be a upmarket agency, ecom, community...
start at the CORE of marketing, then build out into whatever you choose. don't spend years of your life learning some obscure shit like "openclaw" or "ai cmo" or "vibe coding". you can ALWAYS hire some idiot to do these things for you. the ONLY skill you need is MARKETING & SALES. Not one or the other. BOTH
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it’s so fun to watch the AI discourse flip from “omg we’re all going to be out of a job” to “omg i am working way more than ever”
progress
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every founder i know running a company of decent size is struggling to find content producers that "get it"
i'm building something to hopefully fix this issue
it's an application only job platform, specifically for video talent (editors, directors, creators)
i'll be making a POINT out of completely rejecting any washed up ad agency execs/grifters/noobs
this is revenge for everytime ive tried to hire from linkedin,, or any of these other job sites and gotten swarmed/rugged by absolute larpers
if you are a goated creator, dm me and i'd love to have you onboard (brands hmu too to post jobs in here)
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@gregisenberg your best bet is to automate your own role and then help others on your team with AI.
this signals agency and makes you inevitable for your team.
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thinking about the 20% meta mass layoffs...
if you work at FAANG in 2026, you basically just need to assume you're getting laid off and plan accordingly
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we prefer to hire new grads a ton cuz in this era experience is getting devalued faster than potential. a 40yr old dev with 15yrs of patterns baked in pre llm is in some ways harder to onboard into an ai native workflow than someone with no habits to unlearn.
this is real, underrated, & often counter intuitive.
this may not apply to every type of gig but as long as ppl are needed, there are def places for new grads with high agency.
Polymarket@Polymarket
JUST IN: ServiceNow CEO says unemployment for new college grads could "easily" reach the mid-30% range due to AI.
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I was the only technical TA for 60 students in a live workshop. So I built an AI one.
We just wrapped a 2-day remote workshop at Every called "Build a Production-Ready App with Claude Code" — helping non-technical people go from zero to a deployed, authenticated, tested Next.js app. 60 students. One technical TA: me.
A few days before the workshop, I realized we were going to need more help. There was no way I could support 60 students through environment setup, deployment issues, GitHub auth, testing, CI/CD — all the places where beginners get stuck.
So I recruited Claude to be our TA. I built a Claude Code plugin to be our AI teaching assistant.
It has six commands that walk students through the entire workshop flow:
- `/setup` — onboards them silently, installs dependencies, creates their student profile
- `/ask-your-ta` — answers any course question with full context about the schedule, tech stack, and where the student is
- `/lets-brainstorm` — a coached 10-minute brainstorming session for what to build
- `/help-me-test` — writes real tests and sets up CI/CD, end to end
- `/please-help` — the hail mary command for students feeling behind, it finds the gaps and fills them
- `/about-every` — shows everything that comes with their enrollment
The thing that surprised me most was watching it actually work on students' screens. When people went into breakout rooms for troubleshooting, I'd just tell them to use the plugin — especially `/ask-your-ta`. And then I'd watch the teaching assistant help them resolve their own question. That was the moment.
I recorded a 7-minute walkthrough where I demo every command and share my thinking behind how this AI TA works.
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for the most part, it’s kinda hard for me to listen to ppl talk at 1x speed now in real time when i am used to reading things insanely fast or listening to edited podcasts & youtube videos at like 2.5x or asking an llm to tell me things in the exact vector, rhythm, & format i’d like to consume them in.
ironically i have to put in *way more* effort to listen to someone live. like i genuinely practiced & got really good at active listening but damn is it draining as fuck.
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