Founder Secrets
Weekly newsletter on how top founders grew their startups
Founder Secrets launched on August 17, 2023 with 489 votes, #33 of 4,347 launches that month and more than 99% of that year's launches. The site was still online in September 2026, 3 years on.
In plain words
Founder Secrets is a weekly newsletter that shares growth strategies and startup lessons from successful founders. Delivered every Friday at no cost, it features interviews with founders who have scaled companies like Beehiiv and Acquire. The newsletter is designed for founders and entrepreneurs seeking practical insights into how top startup leaders grew their businesses. It reaches over 1,000 subscribers interested in growth hacking and startup strategies.
written from the facts on this page · September 2026
From the sources
💡 Weekly newsletter to learn how the best founders grew their startups 📜 Read by 1,000+ founders 📬 Delivered every Friday. For $0 🧵 Interviewed founders include Tyler Denk (Beehiiv), Andrew Gazdecki (Acquire), and more
Secrets from the world's best founders on how they grew their startups. Join 7,000+ founders. Weekly interviews. Straight to your inbox.
Does a similar job
all alternatives →
Founder Resources2021 · founderresources.io · ▲433500+ curated resources, templates & tools for startups
The Founders' Fuel2025 · thefoundersfuel.com · ▲35Advice to grow your startup — 2 new ideas, every week
More growth this month
the category →
wallhop is a free paywall bypass. Paste any article link to read it without paywall popups, ads or clutter. No signup, no extension. A simple 12ft.io alternative.
Growth · 11d ago · wallhop.io
Source: Product Hunt launch ↗
Launched alongside, August 2023
the whole month →
Resend▲1,325An entire collection of pre-built components with a much faster development experience.
Dev tools · 2023 · resend.com
Lottielab▲869Create and ship lottie animations to sites and apps faster
Dev tools · 2023 · lottielab.com
Outlines is a Python library that focuses on text generation with large language models. Brandon and I are not LLM experts and started the project a few months ago because we wanted to understand better how the generation process works. Our original background is probabilistic, relational and symbolic programming. Recently we came up with a fast way to generate text that matches a regex (https://blog.normalcomputing.ai/posts/2023-07-27-regex-guide...). The basic idea is simple: regular expressions have an equivalent Deterministic-Finite Automaton (DFA) representation. We…
AI · 2023 · github.com