VC networking is about adding value before asking for anything. Whether you're an angel seeking co-investors or a founder seeking funding, the approach is the same: give first, ask later.
Step 1: Identify the right VCs. Research firms on their websites, Crunchbase, and recent investments. Focus on partners who invest in your sector and stage.
Step 2: Add value before asking. Share relevant deals, market insights, or introductions. GitDealFlow's trending list is a great excuse to email a VC ('Saw this startup breaking out in your sector').
Step 3: Build relationships over time. VCs invest in people they trust. Attend their portfolio events, comment thoughtfully on their posts, and stay top of mind without being pushy.
Step 4: Ask for specific help. When you're ready, ask for exactly what you want: 'I'm looking at this deal, would you co-invest?' or 'I'm raising, would you take a meeting?'
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 Network with VCs as an Angel or Founder: 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 Network with VCs as an Angel or Founder 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.