Git Deal Flow
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VC Deal Flow Signal monitors GitHub engineering activity across thousands of startups and surfaces the ones showing unusual acceleration — weeks before they hit your inbox.
We track commit velocity, contributor growth, and repository expansion to rank startups by engineering momentum. This is a leading indicator for seed and Series A investors.
What you get: - Weekly ranked reports of breakout startups across 20 sectors - Real GitHub acceleration data (not vanity metrics) - Filter by sector, stage, and geography - Live dashboard with 100+ startups tracked
Who it's for: Angel investors, VCs, and fund analysts looking for deal flow signals that aren't in everyone else's pipeline.
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Git Deal Flow's answer
We use GitHub engineering activity as a leading indicator for investors. While competitors like Harmonic, Dealroom, and Crunchbase rely on funding announcements, job postings, and web traffic, we track commit velocity, contributor growth, and repository expansion - signals that appear weeks before a startup shows up on anyone's radar. The data is public but nobody else packages it for investors.
Git Deal Flow's answer
Most deal flow tools show you what already happened - a round closed, a hire was made. We show you what's happening right now in the codebase. Engineering acceleration has historically preceded fundraise announcements by 3-6 weeks. That's the difference between setting terms and chasing a deal everyone already knows about.
Git Deal Flow's answer
Angel investors, seed and Series A VCs, fund analysts, and scout networks looking for data-driven deal sourcing. Anyone who wants to find breakout startups before consensus forms around them.
Git Deal Flow's answer
I watched a company's commit graph spike and three weeks later they announced a Series A. The signal was right there - public, free, updating in real time. Nobody was reading it. Quant funds have known for years that public data read correctly is the best leading indicator. The problem was that nobody built the lens for investors. So I did.
Git Deal Flow's answer
GitHub API for data collection, Next.js for the dashboard, Vercel for hosting, and custom algorithms for detecting acceleration patterns across thousands of startup GitHub organizations.
Git Deal Flow's answer
Based on our record, SQLZOO should be more popular than Git Deal Flow. It has been mentiond 20 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
I publish the weekly top movers in a free Sunday email at gitdealflow.com. The heavier stuff (full rankings, sector sweeps, dashboards) is paid, which is what funds the compute. - Source: dev.to / 23 days ago
Quick context: I run GitDealFlow, an MCP server + dataset that tracks GitHub commit-velocity signals across ~100 venture-backed startups. Six free read-only tools, ~700 npm downloads in the first three weeks, listed on Glama and the official MCP registry. - Source: dev.to / 4 months ago
VC Deal Flow Signal monitors GitHub engineering activity across startup organizations and surfaces the ones showing unusual acceleration. The hypothesis: engineering acceleration (measured as the rate of change in commit velocity) is a leading indicator for fundraise announcements, usually by 6 to 12 weeks. - Source: dev.to / 5 months ago
Https://sqlzoo.net/ is one of my faves. Source: about 5 years ago
Sql Zoo https://sqlzoo.net is great. Starts with really basic queries and gradually moves to more advanced queries and joins. There are tests for each section to help internalize it. Source: about 5 years ago
Check out sites like https://sqlzoo.net and try out the basics of SQL. And if that grabs your attention head over to youtube or udemy and take some courses. Source: about 5 years ago
Sqlbolt.com and sqlzoo.net are both fun, fast, and free. Source: about 5 years ago
What is a good tutorial that can explain everything to me from the start that you have used yourself?There are lots of great tutorials out there, some mentioned already in this post. https://sqlzoo.net was what I started with years ago. If you'd like to start from the beginning, avoiding lectures and instead focusing on exercises, I would suggest https://sixweeksql.com since it targets MS SQL specifically and will... Source: about 5 years ago
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