Plotly
D3.js
RAWGraphs
Tableau
Google Charts
Highcharts
Bokeh
Chart.js
Git Deal Flow
Harmonic.ai
DealRoom
Forager
Crunchbase
Bolt to GitHub (Pro)
Equity Flow
Flowbo
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.
Plotly Git Deal FlowPlotly is recommended for data scientists, analysts, and developers who need to create interactive and visually appealing data visualizations. It's particularly useful for those who work with Python or R and want the ability to embed their visualizations in web applications or dashboards.
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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, Plotly seems to be a lot more popular than Git Deal Flow. While we know about 34 links to Plotly, we've tracked only 2 mentions of Git Deal Flow. 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.
Let's dive into some practical examples. First, you'll need to set up your environment with the right tools. I recommend using pandas for data manipulation and plotly for visualization. - Source: dev.to / 5 months ago
Plotly is perfect for interactive visualizations. You can create interactive charts and graphs that allow users to hover, click, and zoom in. Plotly is also great for web-based visuals, making it easy to share your findings online. - Source: dev.to / over 1 year ago
Front End: A React application that leverages React-Chatbotify library to easily integrate a chatbot GUI. It also uses the Plotly library to display the charts/visualizations. The generative AI implementation and details are entirely abstracted from the front end. The front-end application depends on a single REST endpoint of the backend application. - Source: dev.to / over 1 year ago
In this tutorial, Mariya Sha will guide you through building a stock value dashboard using Taipy, Plotly, and a dataset from Kaggle. - Source: dev.to / over 1 year ago
How to Accomplish: Utilize visualization libraries like Matplotlib, Seaborn, or Plotly in Python to create histograms, scatter plots, and bar charts. For image data, use tools that visualize images alongside their labels to check for labeling accuracy. For structured data, correlation matrices and pair plots can be highly informative. - Source: dev.to / about 2 years 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 / 3 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
D3.js - D3.js is a JavaScript library for manipulating documents based on data. D3 helps you bring data to life using HTML, SVG, and CSS.
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.
RAWGraphs - RAWGraphs is an open source app built with the goal of making the visualization of complex data...
DealRoom - M&A Lifecycle Management Software
Tableau - Tableau can help anyone see and understand their data. Connect to almost any database, drag and drop to create visualizations, and share with a click.
Forager - Fashion discounts gathered in your size
