Introducing job search tools for ChatGPT & Claude.
→ Match your resume to 7M+ open roles
→ Find hiring managers to email from 250M+ people
→ See what they care about before you reach out
Run your job hunt from any harness with the Firecrawl plugin.
https://t.co/hkV9aMOKkU
There are kids with zero coding skills making $80k/month downloading free AI tools off GitHub, slapping a company's logo on them, and selling them to 60yo CEOs for $25,000
Broke computer science nerds upload millions of dollars worth of working code to GitHub for free every day just to flex on other nerds
If you have zero technical skills, here is how you turn their free homework into $25k checks:
Go look at how a 60yo guy running a $15M roofing, logistics, or medical company operates his back office
He's paying 4 office staff $200,000 a year to manually type PDF invoices into Excel, chase old leads by hand, and answer the same 12 phone questions all day
A computer science student already built the AI script that automates all of that in 10 seconds and uploaded it to GitHub under an MIT license (which means anyone can legally repackage and sell it to businesses)
The student makes $0 from it because he's scared to talk to a 60yo millionaire on Zoom
You step in as the middleman who connects the two sides and collects the wire:
1. Pull a proven open-source repo off GitHub
Go to github. com and search for business tools that already have 500+ stars so you know the code works:
- "ai voice receptionist"
- "invoice ocr extraction"
- "automated lead reactivation"
- "rfp proposal generator"
2. Put a $20 Lovable skin on top of it before your call
Old business owners don't understand code or GitHub folders. If you show them a terminal screen they'll hang up on you
Take the repo, drop it into Lovable or v0 for $20, and tell it to build a clean dashboard using the prospect's exact company logo and colors (takes about 10 minutes)
3. Let the CEO click the buttons on Zoom
When you hop on a 15-minute call with the owner, don't pitch a slide deck
Screen-share the dashboard with his logo on it, upload one of his company's real PDFs or let him call the test phone number on speakerphone, and let him watch it work live
To him, cutting $150,000 a year in wasted office payroll for a one-time $25,000 build means he's up $125,000 in his first year alone
Once his wire hits your bank account, you take $600 of his deposit and pay a developer on Discord to connect that GitHub code to his company's real CRM and phone lines over the weekend
You pocket $24,400 profit without writing a single line of code yourself
Dumi used this exact middleman model with us to close a $30,000 paid-in-full deal for a medical company without touching a line of code
I already have the vetted developers who build these systems for a flat wholesale fee, plus the exact outreach scripts and contracts we use to close 60yo owners
DM me "GITHUB" and once you message me I'll send you the breakdown and see if you're a fit to use our dev team
my favorite TikTok hack
- open Grok Bot and hit the + in the sidebar
- name the new bot Outlier Finder
- paste this:
job
spot the videos in my niche that took off for their size.
weekdays, 7 a.m.
steps
- read social/brief.md.
- open the outliers from my Virlo marketing agent. they're free to read, so check them before spending anything.
- run a single Virlo search for [topic]: TikTok and Instagram, past week, outliers only, Virality Score 18+, creators under [100,000] followers, [language]. one page.
- drop paid posts and anything already in social/outliers.md.
send me 5, highest score first
- link, creator, followers, views and score.
- first line, hook type and format.
- your best guess at why it took off.
- whether my business could shoot it this week.
add them to social/outliers.md. on a day with nothing new, stay silent.
these are the videos that took off for their size... the first lines and formats your niche is already watching
pick the ones your business could ACTUALLY shoot this week, and make your own version
(read the full guide below ↓)
now that apple put xcode inside claude code, here’s how i’d find, build and grow an iOS app with AI agents:
find it
- open appfigures or sensor tower and sort utilities by revenue
- filter for apps with a rating under 3.5
- bonus points if the top app hasn't shipped an update in 6+ months
- check the keywords they rank for in appfigures. low difficulty + high revenue is the sweet spot
- scroll the "you might also like" row on the top app's page. every app there is another market to check
- or find a startup idea on https://t.co/a5ARFnvky2 based on social sentiment
validate it
- use facundoolano/app-store-scraper to pull every review for the top 20
- give them to an agent: "cluster the 1 and 2 star reviews into the top 5 complaints and quote the users"
- pick the app where the complaints are about the product, not the price
- if people complain about the price but keep paying, that's demand. if they complain about bugs, that's your opening
- search reddit for "alternative to [app]". every thread is a list of people waiting for you
build it
- claude code + apple's new xcode plugin to build, preview and fix
- cameroncooke/XcodeBuildMCP so the agent can build, test and run the simulator on its own
- joshuayoes/ios-simulator-mcp so it can tap, swipe and screenshot like a user
- write a skill with the top 5 complaints so every feature gets checked against them
- apple's foundation models for on-device ai, so your inference cost is $0
- app intents so siri and personal agents can use your app too
- add an "import from [competitor]" button. make switching take 10 seconds
test it
- maestro tests every flow the reviewers complained about
- the agent runs them on every screen size before each build
- if the competitor's worst flow takes 6 taps, yours takes 2
- sentry for crashes, telemetrydeck for analytics
- testflight it to 20 people from those reddit threads before launch
monetize it
- revenuecat for subscriptions and mrr
- superwall to test paywalls without shipping a new build
- paywall right after the first win, never on launch
- annual as the default with a 3-day trial, weekly as the anchor
- turn on win-back offers for everyone who cancels
rank it
- your screenshots answer each complaint directly. "no ads." "works offline." "cancel anytime."
- fastlane snapshot + frameit regenerates every screenshot automatically
- a/b test them with app store connect's product page optimization
- have the agent localize your listing into 10 languages. most competitors only rank in english
- ask for a review right after a win with apple's built-in review prompt, never after an error
grow it
- find 10 creators in your niche on tiktok one. small monthly base + a bonus for every 100k views
- give each one a fresh tiktok account that only posts about your niche
- apify's tiktok scraper pulls the top 100 hooks in your niche every week. that's your hook bank
- every creator tests 3 new hooks a day in capcut. anything that loses people in the first 3 seconds gets cut
- arcads or heygen for ai ugc when you need 50 variations of a winner
- postiz to schedule everything across tiktok, reels and shorts
- faceless slideshow accounts posting 3x a day: problem, screenshot, result
- when an organic video takes off, put money behind it with tiktok spark ads instead of making new ads
- a unique apple offer code for every creator so you know exactly who drove each subscriber
- a quiz landing page on framer that ends in "download the app." web-to-app funnels convert better than cold traffic
- appsflyer to track which video, creator and ad actually turned into revenue
- apple ads on the competitor's name
i could do a whole episode on @startupideaspod if people are interested. i will never gatekeep anything im learning in real-time.
welcome to the golden age of ios apps, because now anyone can build one
Ce compte 100% IA touche une commission Amazon à chaque vente et il a jamais tourné une vidéo 🥵
1,3 MILLION de vues
Niche santé avec un persona que personne représente
Le lien en bio c'est de l'affiliation Amazon : chaque produit vendu depuis ses vidéos lui rapporte un pourcentage, sans stock et sans shop 💰
Plus il poste plus ça tourne et ça lui coûte rien
ULTRA SIMPLE à reproduire avec l'IA 🤖
Enregistre le post
16 minute tutorial on how to make faceless YouTube Shorts on autopilot with Claude (step by step)
Script, visuals, voiceover and word-synced captions.
Hook it to Zapier and it posts a new Short every day.
Runs on the free Claude plan. The skill is free too
Save this, you'll thank me later 🔖
Fashion brands are spending $50K on lookbook sites.
This one was built from one prompt.
A 3D runway carousel, product pins on every look, size pickers and a bundle price. Ready for Shopify.
Web design will never be the same.
Mise is reportedly doing 300k MRR, and this TikTok got 8 million views
This meal planner app found such a simple format:
a girl reacting with this exaggerated surprised / excited face, then a demo showing part of the app's onboarding
the text in that Snapchat-style font:
“been shopping Aldi for 8 years and now I FIND THIS?”
the Aldi detail does a lot here. someone who shops there immediately has a reason to watch. it feels like a discovery for people like them
then the onboarding asks where you buy your groceries, which carries that feeling into the product
you're already thinking “wait, this works with MY supermarket?”
whatever else that answer is used for, the question itself makes the experience feel more personal
and the video is so easy to recreate. film a reaction, write a hook around something your audience recognizes, then show the relevant part of your app
you can test different supermarkets with the same basic format. really smart way to make a meal planner feel relevant before you've even seen a meal plan
Since July, our team has had more than 100 calls about AI implementation with CEOs, CFOs, CTOs and PE operating partners.
These 12 questions came up most often:
1. “Where do we start?”
Where your customer would feel it first. Pick one workflow, run it for a month, then decide what comes next. Start with a long list of ideas and you’ll end up shipping none of them.
2. “Can’t we just build this ourselves with Claude?”
For a lot of it, yes. Reports, research, content: get your people using agents every day. You don’t need a firm for that. You need one when the work touches a system of record, patient data or payment data, or when it has to run every day without somebody babysitting it.
3. “How do we measure ROI?”
Name the number before you build: days to close, denial rate, hours per onboarding. If nobody can name it, you’re buying a demo.
4. “How do we know the AI is right?”
You test it. Build a golden set of answers your business agrees are correct, then score every release against it. Anything below the bar goes to a person.
5. “Who owns it, and who keeps it running?”
You do. Your cloud, your repo, your accounts. Before kickoff, name the person on your side who will run it. Make your first AI hire somebody who can operate it and keep it healthy.
6. “Is our data safe?”
It should stay in your environment. Ask where it goes, who at the vendor can see it and what the model provider keeps. Expect a plain answer to all three.
7. “Do we have to fix our data first?”
Only the data your first workflow touches. Then build in order: a simple pipeline that runs every day, a layer that defines what your numbers mean, and then the agent. One prompt can’t do all three.
8. “What happens to our people?”
Start with them. You can’t expect agents to work on top of a team that doesn’t use them.
9. “Which model should we use?”
It matters less than you think, and you’ll change it. Pick a setup that lets you switch. Your workflows, evals and data are what you keep.
10. “What will it cost to run?”
Get it in writing before the build: tokens, hosting and licences, with costs broken down per month and per transaction.
11. “Do we pay for time or for outcomes?”
Either works as long as you can walk away. Work month-to-month, with no lock-in and a checkpoint after the first month.
12. “How do we tell a real AI partner from one that started last year?”
Before you sign, ask to see something they built that’s running in production for another customer today. Then call that customer. After you sign, give them one team for a month. If nothing changed, throw them out.
The question I’d add to the list: what happens if it works?
Who runs it, who improves it, and what does your team do with the time it gives back?
Ask it before you start.
With the recent wave of vulnerability disclosures, it’s a good time to take a closer look at your own code.
Turn your coding agent into a team of security auditors with the open-source skill that seeded Cloudflare’s vulnerability discovery harness.
The 6 phase approach:
1. Map the codebase
2. Hunt for vulnerabilities
3. Challenge each candidate
4. Record the findings
5. Verify the findings
6. Report what’s confirmed, rejected, or still needs validation
Start your hunt here:
https://t.co/kL5PvcoAYY
23 minute tutorial on how to build $250,000 AI agents with Claude (step by step)
He builds 4 agents from scratch that go out, do the work and hand you the finished result.
Save this, you'll thank me later 🔖
If you design with AI, this is all you need
1. https://t.co/T9BTwmzlRa — Beautiful AI Prompt Library,
Made for Creators
2. https://t.co/G9aLjnzcpm — landing page inspiration done right.
3. https://t.co/cQ3suTZL49 — mobile UI animations
4. https://t.co/kiuAJ6oRl9 — cool gallery for web design inspo
5. https://t.co/8ddvnvsfHg — top notch landings
save these for your next project