Dream 100
Russell Brunson says: identify your Dream 100, serve them before you ask, and become a contributing member of their world. This is our list, all 100, across seven tiers: platforms, communities, newsletters, investors, podcasts, open-source ecosystems, and research bodies. It is public because the goal is not to hide our strategy, it is to attract the people on it.
Open-source everything we can. The Dream 100 finds us through our work, not our ads.
We answer questions, write guides, and PR into community projects. Earn the right to be seen.
We become a distribution channel for Dream 100 work before asking them to distribute ours.
This page is public on purpose. If you are on this list, say hi.
If you build, write, or invest in this space, we want to know you.
Introduce yourself →GitDealFlow is a public deal flow signal dataset: 350+ startup GitHub organizations across 15 sectors, refreshed weekly, with breakout teams surfacing 21 to 47 days before their round is announced. This page makes one part of that system legible: what it measures, how it is computed, and how to use it in a live sourcing workflow. The method is published end to end and falsifiable by design, with the working paper on SSRN and the dataset downloadable under CC BY 4.0.
A practical read-through of The 100 people, platforms, and communities we are building with: the dataset behind this page refreshes weekly across 350+ organizations and 15 sectors, and every figure shown traces to a public GitHub REST API pull. That matters for two reasons. Reproducibility: any number here can be re-derived from primary sources, which is the standard the published methodology sets for itself. Timeliness: engineering acceleration precedes announcements, so this page follows the data cadence rather than the news cycle, and the freshness endpoint always reports the exact pull date.
If The 100 people, platforms, and communities we are building with is your entry point, the fastest next steps are fixed: skim the glossary for the three or four terms that anchor the topic, open the research dataset to see the raw weekly snapshots behind the summary numbers, and run one live query against the free momentum checker with a company you already know well. Seeing the signal fire on a familiar name is the quickest way to judge whether code-side sourcing belongs in your own workflow.
One caveat worth stating plainly on The 100 people, platforms, and communities we are building with: momentum is a leading indicator, not a verdict. A repository can accelerate for reasons that never become a fundraise, and a quiet quarter does not mean a team is failing. The disciplined use of this page is as one input in a stack, a way to rank where scarce diligence time goes, and a way to notice change early. The methodology page documents every limitation, including the bot filter, the two-period confirmation rule, and the sectors where coverage is thinnest.