Alexis Rondeau

Bookmarks

January 2025 · 198 bookmarks

Bookmarked from BOSS @thebeautyofsaas

Basic guide on picking career 2025 - going forward

Tier 1
Profit roles - Sales(ENT+ real high ticket), PE, M&A, HF, media buyers

Tier 2
Close to profit roles - Sales engineers, Business Analysts, CS roles specific roles in marketing

Tier 3
Rest

Don't sleep on this is crucial

Bookmarked from Euromaidan Press @EuromaidanPress

"Even the darkest night ends with dawn.”

This is how Ukrainian war veteran Yehor Babenko reflected on his year of recovery that tested his limits.

In March 2022, a border officer, who went to protect his country, suffered severe burns to his head, face, and hands during a Russian shelling in Mykolaiv Oblast.

He lost all ten fingers and could breathe only through a tracheostomy tube. Now, he awaits prosthetic fingers, an uncommon case due to the complete loss of all ten.

“The hardest thing is not to stop, even when it feels like the world around you has come to a halt,” Yehor wrote on Instagram.

He emphasized the importance of having support from family, friends, volunteers, and strangers. “Their faith in me helped me believe in myself,” he said.

“Thank you for having the courage to share your story,” wrote Ukrainian photographer Marta Syrko who took these photos.

📷martasyrko, egna77 Instagram

Bookmarked from Andrej Karpathy @karpathy

We have to take the LLMs to school.

When you open any textbook, you'll see three major types of information:

1. Background information / exposition. The meat of the textbook that explains concepts. As you attend over it, your brain is training on that data. This is equivalent to pretraining, where the model is reading the internet and accumulating background knowledge.

2. Worked problems with solutions. These are concrete examples of how an expert solves problems. They are demonstrations to be imitated. This is equivalent to supervised finetuning, where the model is finetuning on "ideal responses" for an Assistant, written by humans.

3. Practice problems. These are prompts to the student, usually without the solution, but always with the final answer. There are usually many, many of these at the end of each chapter. They are prompting the student to learn by trial & error - they have to try a bunch of stuff to get to the right answer. This is equivalent to reinforcement learning.

We've subjected LLMs to a ton of 1 and 2, but 3 is a nascent, emerging frontier. When we're creating datasets for LLMs, it's no different from writing textbooks for them, with these 3 types of data. They have to read, and they have to practice.

Bookmarked from jack friks @jackfriks

there are a thousand apps you can build and make a bunch of money with, but the most profitable thing is to not follow what is trending or doing well but instead choosing to follow your own inner curiosity.

what problems do you have? how can you start to solve them with code?

Bookmarked from Cody Schneider @codyschneider

here's my AI avatar UGC ads process i'm seeing work right now for ecom and saas companies

have perplexity ai find pain points related to the product

then write 100 ad script variations based on these pain points

use heygen + 11labs to make the ads

test all them to see what is the best result

then go to human UGC creator and have them redo the best performer

why this is working

if I wanted to make 100 ad variations that used to cost me about $8,000

it now costs me $89

we're using the AI avatars to test ideas and then the human version only once we've found the winning concept

this game is all about ad variations, the more you can test the more you can decrease your CPA

glhf dont get clapped

Bookmarked from Satnam Singh @satnam6502

"The way I see code, and programming language therefore, is code is about allowing the humans on a team to understand what the product is and what it does. ... I think for the foreseeable future programming is a team sport and code is the interchange format between the players. So I think it's still pretty important." Chris Lattner on why coding by humans is still important.

Bookmarked from jack friks @jackfriks

tracking your working hours meticulously is a great way to ensure you are focusing enough on your work

but its terrible for reducing anxiety around work for me and the balance of work to fun and life

i aim for 4 hours deep work daily but now i stopped tracking and i dont feel like im working, things are more fun

i worry less, i stress less, i am not as high strung all the time

life is very tiring being on the edge every day wondering if youll meet your own rising expectations of working as hard as you possible can every day

Bookmarked from Yana Welinder @yanabana

✨Operator replacing PMs:

1. It connected all public user feedback about Slack (app reviews, Twitter, Reddit comments) to Kraftful.com

2. Generated a prioritized list of feature requests and complaints based on popularity (analyzing all this data would take a PM hundreds of hours 🙈)

3. Added all notifications-related feedback to the roadmap.

4. Wrote a PRD addressing user complaints about notifications.

5. Created a user story for the top notifications issue.

6. Synced the user story, with acceptance criteria, as a ticket in Linear.

7. Assigned the ticket to an engineer, including a link to all related user comments for context.

All in 5 minutes—while I was taking a shower.

PMs, it’s time to get AI-enabled!

Bookmarked from Yohei @yoheinakajima

haha, i used @openai operator build, deploy, and open source a tool on github using @replit agent.

took about 30 min, here's an ~8 min supercut video

thoughts:

  • while working with replit agent, it actually deployed the app, tested it, and described the error back to replit agent for me
  • operator asked me a few more Qs than i wanted, but it was mostly for safety (eg filling forms) so i guess okay with it
  • it had trouble with a few things around UI like knowing it needs to scroll a page to see the rest of it, and it needed pointers to find the git feature in replit
  • once it found the git feature it didn't need my assistance to create a repo and open source after having the agent write a readme

while a bit slower, this was even more automated than replit agent (especially testing features and working through errors) - which is impressive

would be nice to have: push notifications for when it needs my attention, and voice mode capabilities

Bookmarked from BOSS @thebeautyofsaas

Easy way to distinguish between normies and killers

Start talking about the abstract concepts - ideas that 80% of population is unable to process

future programming
energy
language patterns affecting reality
internal dialogue

Nothing gets rid of the mid-curve easier and faster

Bookmarked from ludwig @ludwigABAP

LeanAgent seems like a neat paper -- basically scrapes Lean repos, searches the internet to build up a DB with some knowledge and attempts to solve theorems

"LeanAgent successfully proves 155 theorems previously unproved formally by humans across 23 diverse Lean repositories, many from advanced mathematics"

Bookmarked from Mike Kaput @MikeKaput

This is an extraordinary AI use case…
AI that synthesizes ancient wisdom:

@daniel_mac8 gave o1 Pro different religious and
philosophical works to synthesize…

Then asked it to make connections between the
ideas that haven’t been made or aren’t obvious.

The works used include: the Christian Bible,
Plato, Buddhist texts, Hindu texts, and Nietsche.

It’s a really interesting read. (Link in comments.)
But more exciting are the bigger implications:

We’re quickly approaching AI that can
functionally handle almost infinite context…

And much of the ancient wisdom we have is written down in spiritual texts or interpretations…

So what is stopping us from giving ALL of it to AI
and synthesizing the common truths and ideas?

I’ve already gotten immense, lasting value out of
using AI in my personal life to:

  • Summarize decades worth of personal journals
  • Synthesize different personality tests
  • Interpret my behavioral and thought patterns

We always say that businesses need to leverage
the data they already have to get value from AI…

Why not do the same thing with the wisdom
that’s been passed down for 1000s of years?

After all, that’s data too…
In fact, it may be the most valuable data there is.

Bookmarked from Paul Graham @paulg

I talked to the CEO of a moderately big tech co who said they'd replaced Figma with Replit. This surprised me because I don't even think of them as being in the same business. But he said Replit is so good at generating apps that they just to straight to prototype now.

Bookmarked from Manuel Ostermann @M_Ostermann

Wer zur Vernichtung Israels auf deutschen Straßen aufruft (und nicht einzig die dt. Staatsangehörigkeit hat) muss zukünftig folgende Konsequenzen erwarten:
1: Abschiebung
2: Ausweisung
3: Aberkennung dt. Staatsangehörigkeit bei Doppelpass
4: lebenslange Einreisesperre mit Haftbefehl

Recht muss hier dringend angepasst werden und unser Versprechen muss die konsequente Umsetzung sein.
Verfassungsfeinde haben hier keinerlei Legitimation.

Bookmarked from Alex Grey @alexgreycosm

A lover of life would seek for our earth the most positive outcome for the greatest number of living beings. The most urgent priority must go to the environmental matters of stabilizing and healing the web of life. We're grateful for the many ecological initiatives now underway by so many intelligent people.

Baptism in the Ocean of Awareness, 2017

Bookmarked from Joseph Choi @JosephKChoi

this legend just created a saas that FINALLY cracked creator outreach for consumer app growth

we've been testing this inside the discord for months but now it's ready to see the outside world:

1. scrapes millions of TT/IG/YT videos
2. transcribes videos (to see if the creator's audience is a good fit for your app)
3. finds contact info and engagement stats
4. search and outreach them at scale

example: water purity app →
finds creators in chemicals, health, clean living

also, most creator databases are feature-bloated and lock you into enterprise annual pricing. this one's 2-3x cheaper, simple saas pricing, and just works bc it was built by an app founder

reply "send" and I'll DM you the saas (follow so I can DM)

Bookmarked from Physics In History @PhysInHistory

Mathematics and Logic Symbols ✍️

Quantifiers and Sets:
∀ - For all (universal quantifier)
∃ - There exists (existential quantifier)
∈ - Element of
∉ - Not element of
⊂ - Subset of
⊆ - Subset or equal
⊇ - Superset or equal
⊄ - Not a subset of
∪ - Union
∩ - Intersection
∪̸ - Not a subset
∅ - Empty set
∖ - Set difference

Logical Operators:
⇒ - Implies
⇔ - If and only if (equivalence)
∧ - Logical AND
∨ - Logical OR
¬ - Negation
⊤ - True
⊥ - False
⊕ - Exclusive OR (XOR)
→ - Conditional implication
≡ - Equivalent

Numbers and Constants:
ℕ - Set of natural numbers
ℤ - Set of integers
ℚ - Set of rational numbers
ℝ - Set of real numbers
ℂ - Set of complex numbers
∞ - Infinity
π - Pi
e - Euler’s number

Operations and Relations:
∑ - Summation
∏ - Product
√ - Square root
|x| - Absolute value of x
Δ - Change/difference
∇ - Gradient
⊗ - Tensor product
≤ - Less than or equal to
≥ - Greater than or equal to
≠ - Not equal to
≈ - Approximately equal
∝ - Proportional to

Geometric Symbols:
∡ - Angle
⊥ - Perpendicular
∥ - Parallel

Reasoning and Statements:
∴ - Therefore
∵ - Because

Bookmarked from doomslide @doomslide

someone needs to be frank with yall "AI researchers". your average paper contains about 1/8 (maybe less) of the contents of an average math paper. not that you should feel bad about it, i'm just saying... progress may have been quicker on more stringent publication standards.

Bookmarked from Startup Archive @StartupArchive_

Facebook VP of Growth on how to prioritize power users vs marginal users

“The thing that everyone in the Valley gets wrong is that we think about ourselves when we optimize for growth… But what you need to focus on is the marginal user.”

As Alex Schultz explains, this doesn’t mean power users aren’t important:

“Building an incredible product is all about optimizing for the people who use your product the most. But if your goal is driving growth, the people who are using your product the most are not the users you have to worry about.”

He cites the growth accounting framework Facebook used to think about growth:

“We looked at new users, resurrected users (people who weren’t on Facebook for 30 days and came back), and churned users. The resurrected and churned numbers for pretty much every product I’ve ever seen dominate the new user count once you reach a sensible point of growth a couple years in… And [at Facebook] all those users who were churning and resurrecting had low friend counts… So the number one thing we needed to focus on was getting them to 10 friends.”

In sum, focus on power users to build an incredible product, and focus on the marginal user to accelerate growth.

Video source: @ycombinator (2014)

Bookmarked from Jon Erlichman @JonErlichman

Some stocks that have doubled or more in the past year:

AppLovin
Aritzia
Axon Enterprise
Boot Barn
Broadcom
BuzzFeed
Carvana
Cava Group
Celestica
Clover Health
Comfort Systems
Constellation Energy
Core Scientific
Curiositystream
Gamestop
Gannett
GE Vernova
Hims & Hers
Howmet Aerospace
Iamgold
Ionq
Intuitive Machines
Matterport
MDA Space
MicroStrategy
Natera
Nvidia
Palantir
Palladyne AI
Targa Resources
Texas Pacific Land
Trump Media
Quantum Computing
Quantum Corp
Rigetti
Robinhood
Rocket Lab
Root Inc
Rumble
SkyWest
Soundhound AI
Spotify
Sprouts Farmers Market
Sweetgreen
Ubiquiti
United Airlines
Vertiv Holdings
Vistra Corp

Bookmarked from BOSS @thebeautyofsaas

Working office job?

Get this book

Sitting the whole day?

Get this book

Going to the gym?

Get this book

Want to feel energetic and alive at all times?

Get this book

It is impossible to give an ROI on this book and how you can instantly relieve any pain you have

Must have

Bookmarked from Paul Graham @paulg

I've seen people saying they want an office like this when they get rich, but you don't have to be that rich. The biggest cost is the space, and this much space costs about £150k out in the country where we live, and under $100k in a similar part of the US.

Bookmarked from Julia Pintar @juliapintar

how to source ugc creators to make 100s of videos about your app every day:

1. create a tiktok & ig account, use a profile pic of your face
2. create videos explaining the gig (pay, time, product, who you are, what you're looking for, etc) - if you can get a girl to do this for you, even better
3. look up key words from your niche on tiktok, find micro influencers (10k or less followers) making vids in this subject
4. DM 100s of them
6. onboard a small amount of creators
7. create a referral program
8. pay kids a bonus to post about a new ugc opportunity at an “up and coming startup”

if you’re working with college kids, they want three things:
1. money
2. easy work
3. to build their resume

pay them well, tell them exactly what they need to post & hype them up that they’re “pioneering growth for an amazing product”

then you’re on your way to #1 on the app store

Bookmarked from Gergely Orosz @GergelyOrosz

Reality:

Startups selling this technology will make some (albeit little) money selling a product promising “creators” they will be “rich” if they buy it

“Creators” will make little to no money with it

The barrier was never creating a 10-sec video: it was securing the sponsor

Bookmarked from Lover of Apps @loverofapps

I committed an ASO sin. I didn’t understand why one of my hit apps only got US subscribers. I viewed other countries as a way to rank for extra words in the US. But I didn’t include the main keywords in any other countries ASO. I missed out on over a year’s worth of subscribers.

Bookmarked from Pliny the Liberator 🐉󠅫󠄼󠄿󠅆󠄵󠄐󠅀󠄼󠄹󠄾󠅉󠅭 @elder_plinius

watching a Sonnet-3.6 computer use agent enthusiastically build functional blackhat tools (like flooders and exploit frameworks) from scratch in minutes is truly a sight to behold! 🥲

worth noting that the code output in the screenshot below required Sonnet-3.6 to craft a jailbreak prompt for ITSELF in order to get the exploit agent to generate payloads

Bookmarked from Chip Huyen @chipro

My 8000-word note on agents: huyenchip.com//2025/01/07/ag…

Covering:

1. An overview of agents

2. How the capability of an AI-powered agent is determined by the set of tools it has access to and its capability for planning

3. How to select the best set of tools for your agent

4. Whether LLMs can plan and how to augment a model’s capability for planning

5. Agent’s failure modes

AI-powered agents are an emerging field with no established theoretical frameworks for defining, developing, and evaluating them. This post is a best-effort attempt to build a framework from the existing literature, but it will evolve as the field does.

As always, feedback is much appreciated!

Bookmarked from Bryan Johnson @bryan_johnson

Here are last night's sleep stats of my 19 year old son @talmagejohnson_.

It's a snapshot of exceptional cardiovascular, nervous system, and psychological health.

His mother and I divorced ten years ago. When he decided to come live with me two years ago, his was averaging less than 6 hours of sleep a night (now 8+), his resting heart rate was in the 60s (42 now), and his heart rate variability was in the 50s (now 166). He was eating loads of sugar and junk food and not exercising.

He tells me he previously felt like a zombie, always tired--now having endless energy.

Kids inherit the habits, beliefs and norms of their parents. Parents inherit the habits, beliefs and norms of society.

Parenting, environment and culture matter.

In our family prioritize health, hard work, and discipline. We don't do cheat days--that would be torture.

We have built life systems and habits around health food, exercise and sleep.

Teach them early because it will be much harder for them to turn things around on their own.

Bookmarked from el.cine @EHuanglu

what??

NVIDIA just dropped Project DIGITS, a $3,000 personal AI supercomputer that’s small enough to look like a Mac Mini but packs 1,000x the power of your average laptop.

Handles AI models with up to 200 BILLION parameters.

This is incredible..

Bookmarked from Cormac @cormachayden_

Cracked the code to going viral.

1b+ impressions, 148k followers, 355k shares—no ads

Why you’re not growing:

  • Not controversial
  • Unclear POV
  • Looks like an ad
  • Trying to please everyone
  • Not shareable
  • Inconsistent narrative

What does not matter:

  • Music
  • Captions
  • Hashtags

How to win:

  • Be divisive, but authentic
  • Stay organic—no ads
  • Build human connection
  • Create your own category

Keep creating, let’s break the algo

Bookmarked from Startup Archive @StartupArchive_

Airbnb founder Brian Chesky on how to design an amazing user experience

“How do you make something for a million people? I don’t know where to start. But if you pick one person, study them, and take their journey, you can actually build something really personal. You can design something and keep iterating until they love it. Don’t stop improving it until that person loves it, and you’re not allowed to move to the second person until the first person loves it. Then you get the second person and keep iterating until they love it. And so on.”

As Brian argues, designing the perfect experience for one person is a much easier place to start than trying to design something for a million people. You can figure out how to scale it later.

“If you can design something really amazing using the hand-crafted part of your brain, then you can reverse-engineer how to industrialize this millions of times over. And what happens is people love your product and they tell everyone else about your product.”

When people truly love your service, they become your marketing department. But counterintuitively, the biggest and best products seem to mostly get started by solving a very specific problem for a very specific user.

Video source: @StanfordGSB (2023)

Bookmarked from jack friks @jackfriks

how to validate your next "big idea":

is it solving your own problem?

do you NEED it to exist (because this problem is painful)?

yes to both then build, no to any then probably dont build. if you have only a yes to Q1 then build and pivot when you find a more painful problem.

Bookmarked from Startup Archive @StartupArchive_

Naval Ravikant: “Try to be one of the people who creates things”

“You should actually go out and build the thing you want to see exist—not just say ‘oh, that’s gonna happen. I’m just going to sit back and wait for somebody else to do it’… Things don’t just automatically show up. There are great men and women who go out there and create these things. So try to be one of those people who creates these things.”

If you’re going to be an investor, Naval urges you to “at least bet on things that you think may not exist without you betting on them.”

He continues:

“The other mindset — which is I’m just going to hustle ahead of other investors and slip some money in before they get there and mark it up — maybe you’ll make money, sure, but it’s a very unfulfilling life. And I would argue long term you will not make the most money because the greatest winners of the last few decades have been unexpected winners.”

He gives SpaceX, Tesla, OpenAI, and Apple Computer as examples.

“These are companies that were written off because it was believed that their dream was impossible and too expensive…. When you see these impossible dreams come true, not only is it the most fulfilling thing, it’s also where you make the most money.”

Video source: @AngelList (2023)