- Founder Weekly
- Posts
- Founder Weekly (Issue 728 April 22 2026)
Founder Weekly (Issue 728 April 22 2026)
Welcome to issue 728 of Founder Weekly. Let's get straight to the links this week.
1,000+ Proven ChatGPT Prompts That Help You Work 10X Faster
ChatGPT is insanely powerful.
But most people waste 90% of its potential by using it like Google.
These 1,000+ proven ChatGPT prompts fix that and help you work 10X faster.
Sign up for Superhuman AI and get:
1,000+ ready-to-use prompts to solve problems in minutes instead of hours—tested & used by 1M+ professionals
Superhuman AI newsletter (3 min daily) so you keep learning new AI tools & tutorials to stay ahead in your career—the prompts are just the beginning
General
If you don’t hire people better than you, the organization gets bigger, not better. But how do you hire for something you don’t understand?
Vertical AI's biggest opportunities hide in operationally messy, fragmented markets. Learn why workflow grit and market structure create the most defensible AI system positions.
With millions of subscribers across platforms, Lenny Rachitsky is one of the most prolific people in tech media. But what drives him and what keeps him up at night is a story most people don’t know.
At AI-native SF startups, many PM roles are disappearing as engineers now talk to customers directly and own product decisions end to end. The biggest risk is becoming a feature factory, so winning teams impose hard constraints despite near-free execution. Teams are also converging on Slack, Claude Code, and Linear, while non-engineers build real products and lower experimentation costs drive 3 to 5x faster iteration.
Six investor predictions on the state of robotics research and the commercialization of the physical AI ecosystem—plus founders' candid takes on what's evolving in the market in 2026.
Marketing, Sales and PR
ColdIQ scaled to $7M ARR bootstrapped with no funding using a 4-layer funnel that generated 330K visitors, 1,500+ meetings, and $4M in new ARR last year. Most $1M to $10M companies stay stuck in the 2-layer trap of only generating leads and trying to close sales. The missing layers are capture and nurture, using mini-tools, de-anonymization, newsletters, sequenced content, and outreach to keep prospects engaged until they are ready, turning cold traffic into warm, pre-sold buyers and lifting conversion 2 to 3x.
The post explains how growth often slows because teams keep adding work faster than they improve the system, so the real problem becomes compounding friction rather than lack of effort. It then focuses on avoiding that decay by protecting focus, tightening feedback loops, and making growth processes more deliberate instead of letting them drift into complexity.
Money and Finance
Seed valuations have exploded (95th percentile post-money now $174M vs $66M in 2022), compressing even the biggest winners to ~140x returns and breaking the old diversified “pray for 1000x” model; the market has sharply bifurcated into high-signal top-tier companies that get real traction/path-dependency at premium prices and a vast ocean of low-quality value traps at cheap entry points. Emerging managers should reject the “small fund = chase low prices for ownership” trap, concentrate heavily on the few deals where they have genuine edge, underwrite realistically to 10-20x outcomes, and focus on picking quality + manufacturing consensus rather than broad diversification.
VCs have shifted to funding only hyper-growth (often AI-driven) companies, leaving solid tech firms growing revenues in the millions at 2x+ YoY in a "danger zone" where neither VCs nor PE want them. Founders with proven businesses are shocked by the ice-cold feedback and board pressure, so the advice is: prioritize profitability and extend your runway, as hope isn’t a strategy.
Signal vs. noise at the earliest stage: when there's more of both than ever, what should founders and investors do?
Our Other Newsletters |
Python Weekly - A free weekly newsletter featuring the best hand curated news, articles, tools and libraries, new releases, jobs etc related to Python. |

