u/Consistent_Ad6916

I built a modern, no-code graph editor/visualization tool

Hi everyone, I’ve been working on a new project called Graph Visualizer (https://graphvisualizer.com), a browser-based, no-code graph editor and algorithm visualizer.

I originally built this after realizing there was a major gap in the tool ecosystem. There really weren't any modern, intuitive, no-code tools available that let you quickly mock up, customize, and experiment with graphs without a steep learning curve. I wanted something that felt fast and highly customizable right out of the box.

Here is a quick rundown of what you can do with it:

  • Complete Visual Control: A rich editor where you can easily customize nodes and edges, adjusting shapes, colors, sizes, and labels to fit your exact use case.
  • AI Text-to-Graph: One of the features I'm most excited about. You can use direct text-to-graph generation to instantly build out structures just by describing them.
  • Algorithm Visualization: Just like a digital whiteboard, you can run and visualize standard algorithms like DFS and BFS step-by-step to see how they traverse your custom structures.
  • Account Saving & Exports: You can create an account to save all your graphs for later, and export them into multiple formats depending on what you need (JPG, PNG, JSON, and TXT).

You can try it out here:

Website: https://graphvisualizer.com

reddit.com
u/Consistent_Ad6916 — 17 hours ago
▲ 0 r/coolgithubprojects+1 crossposts

Anyone else seen this iMessage-AI tool? Pretty cool reverse-engineering of chat.db

I’ve been looking for a way to use AI for texting that isn't just a generic chatbot, and I stumbled across this on GitHub.

It’s a Python script that reads your local iMessage database and uses OpenAI to draft replies that actually mimic your own tone. What’s impressive is that it’s not just a wrapper—the dev actually reverse-engineered the way macOS stores message blobs and contacts, so it’s pretty context-aware.

It comes with a basic GUI to preview and edit the message before it sends, so you aren't just firing off AI gibberish to people. You have to give it Full Disk Access since it reads the local database, but it’s a pretty clever piece of local automation if you're into that kind of thing.

Has anyone played around with something like this before? Curious if it’s possible to swap out OpenAI for a local model to keep the whole thing offline.

https://github.com/aditya-r123/iMessage-Bot

u/Consistent_Ad6916 — 17 hours ago

New tool for network graph and flowchart visualization!

I built graphvisualizer.com because I really wanted a quicker, friendlier way to jot down ideas during Computer Science lectures and design flowcharts with ease. It’s designed to be super intuitive, as a no-code and modern UI platform. I even integrated an AI agent for text-to-graph generation for pro users! I’m releasing new updates every single week, including new gen AI features, and sincerely hope this becomes a helpful addition to your own study workflow. I’m sharing it here in case it helps anyone else, so please give it a spin and let me know what you think! :D

reddit.com
u/Consistent_Ad6916 — 7 days ago

I built a modern, no-code graph editor/visualization tool

Hi everyone, I’ve been working on a new project called Graph Visualizer (https://graphvisualizer.com), a browser-based, no-code graph editor and algorithm visualizer.

I originally built this after realizing there was a major gap in the tool ecosystem. There really weren't any modern, intuitive, no-code tools available that let you quickly mock up, customize, and experiment with graphs without a steep learning curve. I wanted something that felt fast and highly customizable right out of the box.

Here is a quick rundown of what you can do with it:

  • Complete Visual Control: A rich editor where you can easily customize nodes and edges, adjusting shapes, colors, sizes, and labels to fit your exact use case.
  • AI Text-to-Graph: One of the features I'm most excited about. You can use direct text-to-graph generation to instantly build out structures just by describing them.
  • Algorithm Visualization: Just like a digital whiteboard, you can run and visualize standard algorithms like DFS and BFS step-by-step to see how they traverse your custom structures.
  • Account Saving & Exports: You can create an account to save all your graphs for later, and export them into multiple formats depending on what you need (JPG, PNG, JSON, and TXT).

You can try it out here:

Website: https://graphvisualizer.com

I'd love to hear your feedback or feature requests if you give it a spin!

reddit.com
u/Consistent_Ad6916 — 8 days ago

New tool for DSA visualization!

I built graphvisualizer.com because I really wanted a quicker, friendlier way to jot down ideas during DS&A lectures and LeetCode practice. It’s designed to be super intuitive, and I’m even finishing up an AI agent for text-to-graph generation that’s currently in beta! I’m releasing new updates every single week and sincerely hope this becomes a helpful addition to your own study workflow. I’m sharing it here in case it helps anyone else, so please give it a spin and let me know what you think!

reddit.com
u/Consistent_Ad6916 — 9 days ago

New tool for DSA visualization!

I built graphvisualizer.com because I really wanted a quicker, friendlier way to jot down ideas during DS&A lectures and LeetCode practice. It’s designed to be super intuitive, and I’m even finishing up an AI agent for text-to-graph generation that’s currently in beta! I’m releasing new updates every single week and sincerely hope this becomes a helpful addition to your own study workflow. I’m sharing it here in case it helps anyone else, so please give it a spin and let me know what you think!

reddit.com
u/Consistent_Ad6916 — 9 days ago
▲ 2 r/AmazonFC+1 crossposts

Hey everyone, I'm starting as a new grad SWE this summer and trying to get a feel for the Annapurna Labs SJC 29 Cupertino office - I found like no info online so that I'd ask here.

Is it the floors 4 to 6 of that eastern L-shaped building in the Cupertino City Center towers? Super curious about the inside too. Is it just a typical open-office setup, mostly cubicles, a bunch of small hardware and chip labs, some sort of blend of those? Would also love to know if there's an onsite gym and what the food situation is like (free, paid, vegetarian, etc).

I know about the standard Amazon company-wide stuff (RSU, health/dental/vision, but are there any hidden perks to look out for, like a wellness/health or tech stipend? What's the general work culture / vibe like? I guess Annapurna is pretty unique in that it's still operates independently/startup-like even within a big tech atmosphere. Finally, just trying to gauge the demographics since I haven't spotted any other new grads heading to this specific office (or Annapurna Labs as a whole tbh - I'm assuming it's more experienced engineers) - feel free to reach out!

Thanks :)

reddit.com
u/Consistent_Ad6916 — 22 days ago