Pre-seed sourcing is the hardest and highest-ROI activity in venture. Get in early and you see the best deals at the lowest valuations. But pre-seed companies have no press, no funding history, and often no public traction.
The best pre-seed signal is engineering output. Teams shipping meaningful code weekly are teams worth meeting. GitDealFlow tracks this across 350+ venture-backed startups and surfaces pre-seed breakouts weekly.
Supplement GitDealFlow with: Product Hunt launches (consumer products), Hacker News Show HN posts (developer tools), Y Combinator batches (accelerator alumni), and Twitter/X founder threads.
For each prospect, research the founder (LinkedIn, previous companies), the market (CB Insights market maps), and the engineering velocity (GitDealFlow signal page). Reach out with a specific, personalized note.
The steps above are not generic advice; they are how the GitDealFlow dataset is used in practice. The underlying data covers 350+ startup GitHub organizations in 15 sectors, refreshed weekly, with breakouts surfacing 21 to 47 days before rounds are announced. Every workflow here compresses to the same loop: pull the signal, confirm it with a second window, qualify it against sector context, then act while the round is still quiet.
A practical read-through of How to Source Pre-Seed Startups Before Anyone Else: 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 How to Source Pre-Seed Startups Before Anyone Else 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.