Startups are HARD.

But you can reduce mistakes by learning from the best.

10 threads to 10x your startup progress:

First-Time Founder Mistakes

Who: @siddharthm83

You'll learn: Hiring, firing and everything in between:

https://t.co/NBQnpU3utk
The CEO's Job

Who: @theryanking

You'll learn: How the CEO makes a company successful:

https://t.co/6rpNpUDEsH
A Great Onboarding Experience

Who: @RamliJohn

You'll learn: How to wow + hook new users:

https://t.co/TIMGr7G4T5
Building an MVP as a Non-Technical Founder

Who: @myfriendjanine

You'll learn: Simple steps to get from problem to MVP:

https://t.co/FVKify52su
40 Lessons on Entrepreneurship

Who: @jspujji

You'll learn: 40+ principles for your startup:

https://t.co/yWGR167saP
The 6-Point Business Plan

Who: @agazdecki

You'll learn: A 60-second exercise to clarify your mission:

https://t.co/E9yrL7jovT
Understand Your Users Deeply

Who: @Suhail

You'll learn: How a 2nd-time founder obsesses over users:

https://t.co/5ZdOyMTEJ6
10 Ways to Create a $1M Business

Who: @iamwillcannon

You'll learn: 10 angles to brainstorm winning ideas:

https://t.co/m6qgrgvhBu
How to Sell Your Startup's Story

Who: @XavierHelgesen

You'll learn: A compelling pitch framework:

https://t.co/DZcBqmwZ8a
Your Competitors Are the Whole Market

Who: @gaganbiyani

You'll learn: Funding + execution don't guarantee success:

https://t.co/zOjb6i2HTE
Thanks for reading.

Please retweet so others can enjoy!

Follow me @bbourque for more on startups and marketing.

More from Brian Bourque 🚀

A professional logo could cost your startup $1,000 or more.

But logos don't generate customers.

How to design a killer startup logo in 5 minutes, for free:

New entrepreneurs often get hung up on trivial details like logos.

It's what Paul Graham calls "playing house":

Focusing on the trappings of business instead of what really drives growth.

So let's solve your logo problem in 5 minutes.

First off, let's head over to Logo To Use:
https://t.co/kDBddyYXuM

This insane site has millions of pro-quality logos that are free to use.

Their license is 100% clear. No concerns here:


We're going to pick a random design.

This one looks good: "Hues"


Oh no! Our startup is not called "Hues".

Not to worry. Click that Download button and save the Hues SVG file to your desktop.

Note: SVG stands for "Scalable Vector Graphics".

At the end of this tutorial you'll have a file that looks crisp at any size.
22 Powerful Ideas from Startup Founders

Startups succeed when they solve


Choose your customers


Resist the lure of new ideas when the real work begins:


Consider all paths and points of
Digital ad spend is up 31% this year.

More competition, more expensive clicks.

How to master 5 FREE marketing channels:

1. Email Newsletters

Ethan Brooks offers a million dollars of value in this mega-thread on how to build a 7-figure newsletter


2. SEO

Hrishikesh Pardeshi, founder of Flexiple and Buildd, reveals his 30-step framework for how a startup should approach


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Yannick from Hypefury delivers a powerful guide to key SEO concepts with examples, tools and recommended videos to dive


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Learn how Aadit Sheth writes killer threads that have earned him over 80K

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How can we use language supervision to learn better visual representations for robotics?

Introducing Voltron: Language-Driven Representation Learning for Robotics!

Paper: https://t.co/gIsRPtSjKz
Models: https://t.co/NOB3cpATYG
Evaluation: https://t.co/aOzQu95J8z

🧵👇(1 / 12)


Videos of humans performing everyday tasks (Something-Something-v2, Ego4D) offer a rich and diverse resource for learning representations for robotic manipulation.

Yet, an underused part of these datasets are the rich, natural language annotations accompanying each video. (2/12)

The Voltron framework offers a simple way to use language supervision to shape representation learning, building off of prior work in representations for robotics like MVP (
https://t.co/Pb0mk9hb4i) and R3M (https://t.co/o2Fkc3fP0e).

The secret is *balance* (3/12)

Starting with a masked autoencoder over frames from these video clips, make a choice:

1) Condition on language and improve our ability to reconstruct the scene.

2) Generate language given the visual representation and improve our ability to describe what's happening. (4/12)

By trading off *conditioning* and *generation* we show that we can learn 1) better representations than prior methods, and 2) explicitly shape the balance of low and high-level features captured.

Why is the ability to shape this balance important? (5/12)

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“We don’t negotiate salaries” is a negotiation tactic.

Always. No, your company is not an exception.

A tactic I don’t appreciate at all because of how unfairly it penalizes low-leverage, junior employees, and those loyal enough not to question it, but that’s negotiation for you after all. Weaponized information asymmetry.

Listen to Aditya


And by the way, you should never be worried that an offer would be withdrawn if you politely negotiate.

I have seen this happen *extremely* rarely, mostly to women, and anyway is a giant red flag. It suggests you probably didn’t want to work there.

You wish there was no negotiating so it would all be more fair? I feel you, but it’s not happening.

Instead, negotiate hard, use your privilege, and then go and share numbers with your underrepresented and underpaid colleagues. […]