Raw notes include useful resources, incomplete thoughts, ideas, micro thoughts, and learnings as I go about my day. Below, you can also subscribe to the RSS feed to stay updated:
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Came across this post from Naoki Otsu that shares his story of moving only the serverless functions from from Vercel to Cloudflare and how this is super economical for him.
And this is crazy.
I haven't ever used Cloudflare Workers, but will definitely give it a try for my next project.
As an internet generalist, I use very limited apps on my Macbook Air M2, and here's the entire list of apps that are installed. I will list everything, but add links only to the uncommon ones.
Not to mention, most of these apps are completely free to use.
That's it.
And hopefully I will keep updating this list in the future.
Came across this post on X and then discovered this cool terminal-style macOS app called Mole that deep cleans your computer. It contains all the features of CleanMyMac, AppCleaner, DaisyDisk, and iStat apps, all combined in a single binary.
JUST WOW!
It can either be installed via a curl command or via Homebrew by running the following command:
brew install tw93/tap/moleI absolutely love it, I mean just look at the terminal text when trying to uninstall apps via this app:
$ mo uninstall
Select Apps to Remove
═══════════════════════════
▶ ☑ Adobe Creative Cloud (9.4G) | Old
☐ WeChat (2.1G) | Recent
☐ Final Cut Pro (3.8G) | Recent
Uninstalling: Adobe Creative Cloud
✓ Removed application
✓ Cleaned 52 related files across 12 locations
- Application Support, Caches, Preferences
- Logs, WebKit storage, Cookies
- Extensions, Plugins, Launch daemons
====================================================================
Space freed: 12.8GB
====================================================================
By the way, the app is built using 77% shell scripts and 23% Go language. And the app is created by @HiTw93, who is from HangZhou, China.
I will definitely be using this.
I came across a post on X that showed Google Search Console graphs for a website that the person created for their mobile app, and now it's getting significant amount of views.
As far as I understood from reading the post and the replies, the person has a mobile app, and he created a website and a bunch of pages targeting important keywords by using the techniques of programmatic SEO. And now he's getting the benefits.
I use Typefully as the only social media tool for scheduling content for X (Twitter), Threads, Mastodon, Bluesky, and LinkedIn at once. And I used their launched v2 API to automate the publishing of my blog posts to Threads, Mastodon, and Bluesky via a simple n8n workflow.
As you can see the screenshot of n8n workflow in this post on X, here, I will explain the Typefully POST node that you see here. First, I selected an HTTP node in n8n and below are the different fields' data I have:
| HTTP Node Fields | Value |
|---|---|
| Method | POST |
| URL | https://api.typefully.com/v2/social-sets/{social_set_id}/drafts |
| Authentication | Generic Credential Type |
| Generic Auth Type | Header Auth |
| Header Auth | Header Auth Account (Name: Authorization, Value: Typefully API Key), Nothing else changes |
| Send Query Parameters | OFF |
| Send Headers | OFF |
| Send Body | ON |
| Body Content Type | JSON |
| Specify Body | Using JSON |
| JSON | JSON provided below |
| Options | No properties |
I needed to replace {social_set_id} with my actual social set ID, and then it was done. Also, here's the body JSON in the HTTP node.
{
"platforms": {
"mastodon": {
"enabled": true,
"posts": [
{
"text": "🎉 New post: ARTICLE_TITLE ARTICLE_LINK"
}
]
},
"threads": {
"enabled": true,
"posts": [
{
"text": "🎉 New post: ARTICLE_TITLE ARTICLE_LINK"
}
]
},
"bluesky": {
"enabled": true,
"posts": [
{
"text": "🎉 New post: ARTICLE_TITLE ARTICLE_LINK"
}
]
}
},
"draft_title": "SOMETHING_HERE",
"share": false,
"publish_at": "now"
}It's very simple and straightforward, and it just works as expected. As soon as a blog post goes live on my site, the n8n workflow executes and the article's link gets published on Threads, Mastodon, and Bluesky.
And the reason I don't publish these on X and LinkedIn because I use these two platform a bit differently.
No Thanks, ChatGPT is an open-source Chrome extension that automatically dismisses all annoying popups on ChatGPT when you're not logged in. The extension instantly focuses the prompt box, so you can start typing your questions right away without any extra clicks.
The v1 only dismissed the login popup, but the v2.0.0 now automatically handles the following:
The extension can be installed directly via Chrome Webstore (might take a few days before it gets approved by Chrome team) or can also be installed via the GitHub repo as well (latest v2.0.0), as it's open-source.
I came across this post on X that announced that the Nozomio AI team has created a tool by indexing the entire 1 billion tokens of the Chromium browser codebase that anyone can talk and ask questions to. Here's the post content:
Introducing Chromium Agent.
You can now semantically and directly search across Chromium’s 1 billion token source code and technical documentation using @nozomioai API.
It's also free and open source.
Not to mention, they have made the ChromAgent tool open-source and the source code is available here.
Came across this post on X that linked to this blog post about Anna's Archive scraping entire Spotify data of more than 300 TB.
I came across this post by Stephen Burns on CommonCrawl titled From SEO to AIO: Why Your Content Needs to Exist in AI Training Data that talks about why having your website information in the AI training data is a good idea. Some discussion about the same also appears in this post on X.
This article is an interesting read.
While randomly browsing the internet, I came across this note by Simon Willision that liked to this article about prompt caching by Sam Rose. It explains the concept of prompt caching in a simple and interactive way.
The article has images, charts, diagrams, and analogies that make the learning process easier, especially for beginners like me.
Found this interesting articles about the recent Mintlify critical security vulnerabilities. For your info, Mintlify is used by companies Discord and Vercel for hosting docs.
I will add more articles as I discover.
Found this interesting Chrome Extension called TwReplyExport that accurately scrapes the replies or comments from under a Tweet. There are other multiple extensions on the Chrome Webstore as well, but only this one seemed to be working during my testing.
Though it's limited to 100 replies in the free plan, works really great for what it does.
If you want to do an unsigned image upload from Google Sheets to Cloudinary, here's the correct Apps Script snippet that does that:
function uploadImageToCloudinary() {
var formData = {
file: "<file_path>", // Replace with the file URL or base64 string
upload_preset: "<upload_preset>" // Replace with your upload preset
};
var options = {
method: "post",
payload: formData
};
var response = UrlFetchApp.fetch(
"https://api.cloudinary.com/v1_1/<cloud_name>/image/upload/",
options
);
Logger.log(response.getContentText()); // Logs the Cloudinary response
}I have used this on the Multi-AI Script product that I have. Earlier, I was using the default unsigned upload script and it wasn't working properly as it should, but now it's seamless.
Google has created an amazing tool called @SynthID inside Gemini to detect whether an image is AI generated or not, and it works great most of the time. It works for images generated by different image models by Google like nano-banana-pro.
But is there any tool that can correctly detect AI generated text?
I have come across a bunch of tools and most don't work as expected, for example, you might have seen people saying that some tools flag the constitution as AI generated and that says a lot about these tools. But sometimes, some tools do work as expected. For example, I used this tool called Undetectable that correctly detected my own writings as not AI generated and then ChatGPT generated text as AI generated. But it wasn't accurate all the time at all, only sometimes, it made some mistakes.
Some AI detection tools that I like are:
And consider the output from these tools in this order – from top to bottom with the top being the best AI text detection tool.
I came across this post on X from Lee Rob where he talked about migrating Cursor docs/blog away from a CMS to raw code and Markdown. He didn't directly mention the Sanity CMS but the head of developer from Sanity himself did a post commenting on this, and also has a blog post about the same.
Lee Rob also wrote a detailed post on his personal website explaining the entire process and thinking behind it. I liked the post as it touches all different questions and doubts that you might have before making such a move. The blog post covers topics like:
As mentioned in the post, it took them only 3 days, $260.32, and 297.4M tokens to migrate away the entire website. Also, they removed 322k lines of code and added 43k lines.
It's an interesting read.
When you're not working on a very serious project and just vibe coding, imagine just pressing a simple keyboard shortcut to stage all changes, commit with AI-generated commit message, and also sync with your git provider like GitHub. I set up this cmd + enter keybinding in my Google Antigravity IDE that immediately stages all changes, commits using AI-generated messages, and then syncs with my GitHub repo.
For this, you need to open your Antigravity IDE, press cmd + shift + p and search for "Preferences: Open Keyboard Shortcuts (JSON)" and then copy-paste the below keybinding JSON.
[
{
"key":"ctrl+enter",
"command":"runCommands",
"args":{
"commands":[
{
"command":"git.stageAll"
},
{
"command":"antigravity.generateCommitMessage"
},
{
"command":"git.commitAll"
},
{
"command":"git.sync"
}
]
}
}
]I have another post about doing the same in Cursor and VS Code where you can set up the same keybindings. Most of the thing are done the same way, and only the command for generating commit messages are different.
Most of the cool laptop brands like Framework, System76, Bee-Link, Razer, etc. are not available in India. And that led me to finding some other cool laptops that are available in India and that can be used to run different Linux distributions without any issues. Here are a few laptops that I would recommend for running Linux:
Apart from this, you can also directly build your PC on Lenovo's website where you can select the processor, RAM and other configurations as per your requirements.
I was using a speech-to-text app called WisprFlow for voice typing, it's great. The text quality is amazing and rarely has errors related to spelling or grammar. But there's a problem with this app, as it's not private and shares your usage information with its server. While WisprFlow has generous free tier, it's limited and you need to pay to use it freely.
But then I found Handy, a completely local speech-to-text app that uses local LLMs like Parakeet v3, Parakeet v2, Whisper Medium, Whisper Large, Whisper Small, Whisper Turbo, etc. Most of these models are between 400 MB and 1 GB in filesize.
I am using the Parakeet v3 model as of now, and it's working great so far. And the best thing is, it's using Handy is faster than using WisprFlow or other API-based speech-to-text apps. Also, the audio I speak doesn't leave my device so that's completely private.
I found a really interesting article by Manthan Gupta about how ChatGPT stores and seamlessly retrieves information about you when you chat with it. The article explains that ChatGPT receives the following context for every message you send:
[0] System Instructions
[1] Developer Instructions
[2] Session Metadata (ephemeral)
[3] User Memory (long-term facts)
[4] Recent Conversations Summary (past chats, titles + snippets)
[5] Current Session Messages (this chat)
[6] Your latest message
These stored info are passed to every future prompts as separate blocks, something like this:
- User's name is Manthan Gupta.
- Previously worked at Merkle Science and Qoohoo (YC W23).
- Prefers learning through a mix of videos, papers, and hands-on work.
- Built TigerDB, CricLang, Load Balancer, FitMe.
- Studying modern IR systems (LDA, BM25, hybrid, dense embeddings, FAISS, RRF, LLM reranking).
The blog post has much more information about how exactly this happens. He explains the process in great detail, and is really a fun read.
I was researching about best air purifiers in India and came across this very helpful blog post from Amit Sarda listing out some great air purifiers. The article has a lot of data points available about each product and that makes it easier to choose what you're looking for.
I went with the mid-range Airmega 150 as it's super value for money, but there are other options to look for as well.
I am regularly trying a lot of AI models these days for creating websites and I think the current best model for creating stunning user interfaces is the Google Gemini 3 Pro model. Earlier, I was using Claude Sonnet 4.5 a lot and sometimes Opus 4.5 too, but now Gemini 3 Pro is better than all.
I came across this announcement post from Theo that says he migrated t3.chat from Next.js to TanStack Start.
As of 2 minutes ago, T3 Chat is no longer on Next.js 🫡
But the migration process wasn't straightforward as they ran into multiple issues during the process.
You guys have NO idea how many random issues we hit along the way (primarily around bundling). Took a week to fix all of them and a lot of sleepless nights from the team.
And then the reason for moving off Next.js was:
We were barely using it and my React Router hacks on top of Next were hellish for debugging
And this is very interesting to see.
I am yet to try TanStack Start, though.
One way to embed Rumble videos is using the iframe embed code as you see below. This embed code can be obtained from below the video by clicking on the embed option.
<iframe class="rumble" width="640" height="360" src="https://rumble.com/embed/v70bqqu/?pub=4nvf6q" frameborder="0" allowfullscreen></iframe>But if you want to programmatically get the video details along with the embed code, here's an API.
https://wn0.rumble.com/api/Media/oembed.json?url={videoURL}Just replace the {videoURL} with the URL of your Rumble video and it gives you the following JSON response:
{
"type": "video",
"version": "1.0",
"title": "Generating Alt Texts for 45 Images using AI in Google Sheets in Minutes",
"author_name": "DeepakNess",
"author_url": "https://rumble.com/c/c-7818786",
"provider_name": "Rumble.com",
"provider_url": "https://rumble.com/",
"html": "\u003Ciframe src=\"https://rumble.com/embed/u4nvf6q.v70bqqu/\" width=\"3840\" height=\"2156\" frameborder=\"0\" title=\"Generating Alt Texts for 45 Images using AI in Google Sheets in Minutes\" webkitallowfullscreen mozallowfullscreen allowfullscreen\u003E\u003C/iframe\u003E",
"width": 3840,
"height": 2156,
"duration": 497,
"thumbnail_url": "https://1a-1791.com/video/fww1/31/s8/6/U/K/T/E/UKTEz.SHFsc.1.jpg",
"thumbnail_width": 3840,
"thumbnail_height": 2156
}I think, this can be very helpful in creating a tool that creates optimized embed code for Rumble videos.
I am still looking into this and probably create a tool that does this.
I recently got my YouTube channel deleted for some unknown reasons, and then I realized how wrong I was in playing the game.
Basically, this wasn't my main channel, and I was mainly embedding the videos on my website inside my blog posts. And I wasn't also keeping a copy of all the videos I uploaded to the channel, as it wasn't anything serious. But now that all videos are deleted, I wish I had the copies of those videos that I could upload to other platforms like Rumble and then embed on my website.
But it's too late for that.
However, if you also have a channel and you don't keep copies of uploaded videos as well, it's still not too late. Download everything ever uploaded through the Google Takeout feature:
You will receive an email after some time, depending on how large your YouTube channel is, and then download each and every ZIP file from there and save it somewhere safely. If required, you can unzip these files and then access all your videos from inside these ZIP files.
I tried uninstalling the PostgreSQL from my macOS Tahoe and the process wasn't very simple, in fact, the uninstaller in the below folder wasn't working at all. Clicking, double-clicking did nothing.
/Library/PostgreSQL/18/uninstall-postgresql.app
Upon looking here and there, I finally found a solution that worked. I ran the following command in my terminal and then the uninstaller window appeared.
sudo /Library/PostgreSQL/18/uninstall-postgresql.app/Contents/MacOS/installbuilder.shI then selected Entire Application option and clicked Next and the uninstallation process quickly started and then final window after it was complete looked like this. And then I had to run some more following commands to make sure no residue was left on my computer:
sudo pkill -u postgres
sudo rm -rf /Library/PostgreSQL
sudo rm /etc/postgres-reg.ini
sudo dscl . -delete /Users/postgres
sudo rm /Library/LaunchDaemons/com.edb.launchd.postgresql-18.plistAfter this I had to manually go and delete the Postgres 18 folder from the Applications folder. It only contained a Documentation folder.
And this was done after that.