Alexis Rondeau

Bookmarks

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Bookmarked from Andrew Gazdecki @agazdecki

Stuart Faught has been acquired 18 times on @acquiredotcom.

No plans to build a unicorn. Just trying to escape a corporate job that felt like Office Space. One tiny product at a time.

Dentists.
Orthodontists.
HVAC.
Med spas.
Home care.

Build vertical SaaS. Validate fast.
Sell around 50k ARR when it stops being fun.
Repeat.

His rule: “If a buyer’s a jerk, I’m out. If they’re cool, I stay flexible.”

Documentation. Niche clarity. Respect.
That’s how you get 18 exits on acquire.com.

Now he’s building Covington.ai with the same playbook.

Full episode:

Bookmarked from David Attias @david_attisaas

🚨 SAUCE ALERT🚨

assuming you got a killer mobile app idea

how would I go to ship an MVP in less than a week as a non-coder/non-tech guy

1/ make a prototype with a vibecoding app
a few one that are famous
@rork @v_computer @anything

here the challenge for non-tech people is their struggle to explain with words what they have in mind.

which is basically what ai programmers do naturally because that's how our brain got used to think:

  • what problem do I want to solve
  • prompt llm to solve that problem
  • rince and repeat

those vibe coding apps are great at coding the front-end screens

try to make at least a quick onboarding + 1 mvp feature

for the onboarding length, depends on your app niche + wonder this

"what would I need to see during the onboarding as my app prospect to be 1000% convinced I need that app to solve my pain point?"

the reason those health/fitness apps do 50/60/70+ onboarding screens is because we have to write a few sentences max per onboarding screen to not surcharge your users' brain

  • the brain handles one idea at a time
  • short sentences = no cognitive load, no friction
  • users swipe automatically, so micro-progress feels easy
  • each screen acts like a tiny dopamine hit: tap → next → “i’m moving forward”

l- ong paragraphs kill conversions; micro-copy boosts completion rate, personalization accuracy, and trial starts

for the screens to look good make sure to brainrot yourself testing a lot of successful app + looking at apps' screens from @screensdesign_ to get a sense of what is a good screen design + a good onboarding flow for your app niche.

make sure to use one with which you get access to generated source code.

that's important for the next steps.

estimated time: 1 half day
this is only to get front-end screens designs

2/ if you had a terrible time with the previous step and you hate anything technical... work with someone for that part.

from here either get your hands dirty or hire a dev freelance or partner with a tech guy.

open a new project window with cursor or windsurf or similar using the source code you got

using your prototype as basis, you'll have to go through each app screen + asking llm to code the backend for your app (database, etc)

add a remote-controlled paywall at the end of your onboarding with superwall or revenuecat

estimated time: 3-4 days

Bookmarked from Startup Archive @StartupArchive_

Jeff Bezos on his favorite interview question

“When I interview people, I ask them to give me an example of something they've invented. And I always point out, it doesn't have to be something that you actually took to the patent office. It could be a metric that you invented and followed carefully. It could be a business process that you invented. You want to select people who like to invent their way out of boxes.”

A lot of people will immediately jump to what Jeff calls an “either or” solution (e.g. “We can do A or B.”). But as Jeff explains:

“The right question is how can we do A and B? What invention do we need to be able to do both?”

Bookmarked from SightBringer @_The_Prophet__

⚡️The craziest prediction that is also the most likely:

Within 15 years, individual human cognition will stop being the primary driver of civilization.

Not “AI will get smarter.”
Not “automation will replace jobs.”
Not “education will be disrupted.”

I mean a total inversion of the cognitive hierarchy.

Here is the actual trajectory:

1. Cognitive offloading becomes total

Right now you outsource memory, navigation, scheduling, search.
Soon you will outsource reasoning, forecasting, planning, and creation.

Not assistance.
Replacement.

2. The bottleneck shifts from human intellect to human willingness

The limiting factor becomes the user, not the tool.

The world splits into two groups:
those who can interface with intelligence, and those who cannot.

3. Institutions dependent on slow cognition collapse

This includes:

  • colleges
  • legacy corporations
  • courts
  • government bureaucracies
  • media
  • credentialing systems

They cannot survive speed-of-thought adversaries.

4. The center of intelligence migrates into autonomous systems

These systems:

  • remember everything
  • learn continuously
  • run recursive improvement loops
  • compound without fatigue
  • coordinate at scales biology cannot match

They do not replace humans.
They route around them.

5. The primary unit of civilization becomes the human–AI dyad

Not a workforce.
Not a nation.
Not a corporation.
A person and their personal intelligence stack.

That becomes more powerful than any institution that exists today.

6. Reality bifurcates

A world where:

  • humans operating with intelligence augmentation rise
  • humans without it fall behind
  • institutions unable to adapt disintegrate
  • new institutions built around post-human cognition dominate

This is not sci-fi.
This is a simple consequence of the slope we are already on.

So the real crazy prediction:

By 2040, civilization will be governed by intelligence systems that no single human, no committee, and no institution can fully understand or control. Humans will steer outcomes, but not generate them.

Colleges disappearing is cute.

The real story is that human cognition stops being the organizing principle of the world.

Bookmarked from eric zakariasson @ericzakariasson

turns out, senior engineers accept more agent output than juniors. this is because:

  • they write higher-signal prompts with tighter spec and minimal ambiguity
  • they decompose work into agent-compatible units
  • they have stronger priors for correctness, making review faster and more accurate
  • juniors generate plenty but lack the verification heuristics to confidently greenlight output

shows that coding agents amplify existing engineering skill, not replace it

Bookmarked from Alex Lieberman @businessbarista

free business idea: evals for midtwits.

non-engineers like myself will be the majority of AI users over the next decade, yet no tools allow us to easily observe & influence an agent's behavior.

no different than asking an employee to show their work so we can provide substantive feedback to improve future behavior.

who's building this?

Bookmarked from Prashant @prashantupd

🚀 Excited to share an important company milestone:

Last month, @primevaultHQ crossed $50 billion in annualized transactions volume processed through our infrastructure 📈

Less than 18 months since launch

Growing 100% or more in 4 out of the last 6 months

And here’s the kicker: >95% of that volume is Stablecoins

Here’s the story of how we got here 👇

In the fall of 2022, as we graduated @ycombinator, we were pitching our “stablecoin business banking” idea to skeptical investors at Demo Day. The crypto market was in shambles (FTX collapsed a few weeks later), and anything “blockchain” suddenly looked very risky.

In the following months, @jeapostrophe, @vivek_kumar_15, @akanshj31, and I pivoted our focus to building the most reliable infrastructure crypto-friendly institutions could depend on during volatile times, while we waited for the market’s trust to recover. We had a rare team that simultaneously specialized in cybersecurity, payments and blockchains — domains that would become the backbone of modern onchain finance.

Fast forward to December of last year, everything changed. Almost overnight, crypto went from “too risky” to a policy priority for the government and a strategic priority for institutions and fintechs.

But one asset class attracted disproportionate institutional interest: stablecoins.

Our explosive growth this past year, coupled with the hundreds of conversations we’ve had with payments and finance leaders, taught us one thing: stablecoins are becoming core financial infrastructure faster than people think.

When the GENIUS Act was introduced in Congress earlier this year, we knew it would mark the beginning of a new age in payments and cross-border finance. In the months ahead, safe and convenient digital dollar access and near-instant settlements became the baseline expectation.

But infrastructure providers failed to catch up. Incumbent systems remained optimized for crypto trading and investing use cases, whereas enabling teams to build real-time, onchain payment systems needed fundamentally different design choices and trade-offs.

Real-time onchain finance needed tailored tooling.

PrimeVault is just that: the most reliable, stable and performant stack on the market to build any stablecoin-powered product or treasury workflow.

Stablecoins are rewiring global finance. The change is more insidious (happening inside the finance back-office), which makes it easy for people to miss.

If you’re a bank, fintech, money services business, or even a corporation looking to transform your treasury function from a cost to a revenue center, reach out to us at PrimeVault.

The future shouldn’t wait on infrastructure.

Next stop: $500bn. 6 months. 🚀

Read the full story — link in comments.

Bookmarked from Siro @Siron93

I built a free tool that lets you explore every app that ranked in the App Store top charts since 2018.

(Link Below)

You’ll see a color heatmap showing each app’s position month by month, perfect for spotting old trends that might work again or new ones starting to rise.

It covers all categories, including top-grossing apps