Consistency is the #1 predictor of deal flow quality. VCs who source for 2 hours every week see better deals than those who source for 10 hours once a month. Here's a proven weekly routine.
Monday (30 min): Review GitDealFlow's weekly trending list. Add 5-10 interesting startups to your watchlist. Skim sector momentum reports.
Tuesday (60 min): Deep-dive 3 startups from Monday's list. Read their GitHub repos, founder LinkedIn profiles, and any press. Decide which deserve outreach.
Wednesday (60 min): Send 5 personalized outreach emails. Use GitDealFlow's MCP server in Claude to draft notes referencing each startup's engineering traction.
Thursday (30 min): Follow up on last week's outreach. Log conversations in your CRM.
Friday (30 min): Review your watchlist for momentum changes. Update your pipeline. Plan next week.
Total: 3.5 hours per week. This routine, sustained for 6 months, will surface 20-50 quality deals, more than most solo angels see in a year.
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 Build a Weekly Deal Flow Routine That Actually Works: 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 Build a Weekly Deal Flow Routine That Actually Works 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.