
Git Deal Flow
Harmonic.ai
DealRoom
Forager
Crunchbase
Bolt to GitHub (Pro)
Equity Flow
Flowbo
Learn Python The Hard Way
Google's Python Class
A Byte of Python
Think Python
The New Boston video series
Udacity - CS101
Python Weekly
Corey Schafer Youtube
VC Deal Flow Signal monitors GitHub engineering activity across thousands of startups and surfaces the ones showing unusual acceleration โ 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.
Git Deal Flow
Learn Python The Hard WayNo Git Deal Flow videos yet. You could help us improve this page by suggesting one.
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, Learn Python The Hard Way should be more popular than Git Deal Flow. It has been mentiond 14 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 / 12 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 / 4 months ago
These kinds of comparisons rarely lead to good discussions. Let's instead be focused and talk about real stuff. Consider https://learnpythonthehardway.org/ for example. It has influenced a generation of Python developers. Not just the main website, but the tons of Python code and Python-related content it inspired. Why would anyone write these kinds of textbooks/websites/guides if AI can replace them? Arguibly,... - Source: Hacker News / about 1 year ago
Try this instead: https://learnpythonthehardway.org/ LLMs will give you an uncertain percentage of wrong answers. Itโs like having a teacher that lies to you and doesnโt know when they are lying and has zero understanding of the information they give you. - Source: Hacker News / about 2 years ago
Basic Python Knowledge: Ensure you have a solid understanding of Python basics. Resources like Python.org and Learn Python the Hard Way are great starting points. - Source: dev.to / about 2 years ago
Go here: https://learnpythonthehardway.org/. Source: about 3 years ago
Also, I havenโt looked at it in a super long time but personally I got started with Python using https://learnpythonthehardway.org after originally training to be an artist and ended up having a pretty successful career in Pipeline instead. Source: over 3 years ago
Harmonic.ai - Harmonic's data engine keeps 20M+ companies & 150M+ professional profiles fresh, so you can always be in the loop when a company just raised a round, just hired a CTO, or just crossed the 1M follower mark on Twitter.
Google's Python Class - Assorted educational materials provided by Google.
DealRoom - M&A Lifecycle Management Software
A Byte of Python - A Byte of Python is a Python programming tutorial and learning book that teaches you how to program with the Python programming language.
Forager - Fashion discounts gathered in your size
Think Python - Learning Resources