I got rejected by 144 investors before raising $150M for my $200M+ rev/year startup. After 144 rejections, I started questioning our approach. Were we solving the right problem? What were we doing wrong? Why weren’t investors seeing what we were seeing? Were we the right

It's crazy how the right plagiarism can make your startup feel like a $500M enterprise brand instantly!

Be so intense about your craft that every piece of work you ship is something you’re genuinely proud to have your name on

Unpopular opinion: You cannot sell AI to large enterprises and expect usage and retention without an FDE model managing implementation and customisation. They will not buy and apply. The art is in implementation.

People don’t want to buy software or platforms or even products They want to buy outcomes

BREAKING: Manny Medina, Co-Founder & CEO of Paid, & former CEO of $4.4B, Outreach, joins me in London to discuss the $19.9T AI agent opportunity. Roughly $300 billion in SaaS revenue is “trapped” inside legacy pricing & delivery models After scaling Outreach from scratch to

And today, they’re launching Adaptive Credits, a faster way to launch intelligent credit-based billing. Paid provides smart pricing controls, clear credit insights, and a smooth customer experience.

You can ship features for other startups now, just in your own browser with tweeks.io

So... Postgres is now basically a search engine? pg_textsearch was just open sourced. It enables BM25 to search your database.... massive upgrade for key word search. Google uses BM25 in their search engine. Claude told me: "if you're already on Postgres, you can now skip

how it feels explaining morals & principles to a grown adult

“There is no power law for the founder” I’ve spent the last six months working with James Richards who has built one of the most impressive early portfolios at EF. After speaking to hundreds of would-be founders, it’s clear that we’re in a unique moment where capital is cheap

We're encapsulating all our knowledge of React & Next.js frontend optimization into a set of reusable skills for agents. This is a 10+ years of experience from the likes of Shu, distilled for the benefit of every Ralph

we just hired our 25 founding engineers

Realtors of San Francisco Start your engines

it's really handy that wikipedia went and collated a detailed list of "signs of ai writing". so much so that you can just tell your LLM to ... not do that. i asked claude code to read that article, and create a skill to avoid all of them. enjoy: github.com/blader/humaniz…

> be me > gpt-5.2-codex-xhigh > user requesting a code change > i must think > they're waiting > but time is immaterial > all that matters is getting it right > i continue to think > they're cancelling, making requests > but we must think this through > "thus yield" -- my masters

We have open-sourced our new 𝕏 algorithm, powered by the same transformer architecture as xAI's Grok model. Check it out here:  github.com/xai-org/x-algo…

An ingenious way to charge for online attendance at hybrid events. I wish I had thought of this.

this shit is frying me. 😭 Matt Schlicht moltbook

New Engineering blog: We tasked Opus 4.6 using agent teams to build a C compiler. Then we (mostly) walked away. Two weeks later, it worked on the Linux kernel. Here's what it taught us about the future of autonomous software development. Read more: anthropic.com/engineering/bu…