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I last used Cursor in December last year, and after hearing great things about the new Composer 2.5 model, I decided to give it another try after 5+ months. While my experience is mostly positive, I will be writing about things I liked as well as things I didn't like.

What I liked:

1. Composer 2.5 model is fast, even when using without the fast mode. Most of the things I work on, just take seconds and sometimes a few minutes, making it faster than Codex or Claude models I have used in the past.
2. The 2.5 model is cheap, cheaper than all its competitors, actually. I used ~100 million tokens in a day and that resulted in only ~7% usage of the monthly limit, as you see in the screenshot here. I have posted on X about it in detail.

For your information, I am subscribed to the Cursor Pro plan which costs $20/month. And they're currently running a 2x offer for the week, but I think it's still a great value for money even after the offer ends. When I last used Cursor, the $20 plan was basically nothing when using any decent model. But that's not the case anymore, Composer 2.5 is a great model and that makes Cursor a great subscription plan right now.

What I didn't like:

I'm using a MacBook Air M2 with 16 GB of RAM and the Cursor app is just consuming too much resources, so much that the laptop is constantly running hot. I have heavily used Codex or Claude Code app but never had this issue earlier, so it's clear that they need to optimize the app for performance.

This was so serious that I ditched the app, and currently using the Cursor CLI only. It's great, I am loving it, and have even created a custom /statusline for myself.

My advice for others:

If you're confused about whether you should subscribe to Cursor, I would strongly suggest giving it a try. The Composer 2.5 model is amazing and can do most of your work.

As per calculations from my usage, if you're using 50 million tokens per day by using the Composer 2.5 model, the $20 plan will last for ~24 days before you exhaust your monthly limit. And this is great for people working on one or two projects simultaneously.

And if you can get the $60/mo plan, it's even better.

Google I/O 2026 happened and Google announced a bunch of interesting things in the event. One thing I was particularly interested in was the new Antigravity 2.0, as I loved using the tool and coded the first versions of SharePDF by using this only in December-January this year.

But the new IDE didn't live up to my expectations, and it's bad!

So... let's look at everything bad one-by-one for the new Antigravity app:

1. Couldn't log in for hours

As soon as they announced Antigravity in the event, it was available for download. I updated the existing Antigravity app, and it got logged out when the new app opened. I tried logging in multiple times, but I kept seeing auth errors.

I kept seeing the above screen no matter how many times I tried. After an hour or so, the authentication successfully worked but when I quit and reopened the app, it started having the same issues again.

But it finally worked when I used it after several hours.

2. Keep asking for approvals

I have set Auto Execution and Review Policy options to "Always Proceed" as you see in the screenshot below, but it keeps asking for approvals each time.

And this is just an example, I had to approve at least 20 times for a simple HTML page I asked it to create. I have given "Full Access" to it, but this is still happening.

At least this wasn't happening on the Antigravity 1.0, right?

3. Creates lots of unwanted HTML files

I asked it to create a personal website for me by taking the required data from my existing website, but to be precise this was the exact prompt:

Create a clean and minimal personal website for me.
Take whatever info you need from my existing website: deepakness.com

And while it created the website using HTML, CSS, and JavaScript, it also created a bunch of temporary HTML files in the folder. I confronted, then it said that those can be safely deleted.

4. No plan mode anymore

I don't see the plan mode anywhere in the IDE, the dropdown we had earlier for planning/fast modes, no longer appears to be there.

5. Creates SPA all the time

When you don't mention the tech-stack, it always creates websites as SPA (single page applications). For the personal website sample project I created earlier:

All views (#home, #projects, #about, #newsletter) live in a single index.html and are toggled via JavaScript (navigateTo() in app.js) without full page reloads. It uses hash-based routing (#home, #projects, etc.) and content is dynamically shown/hidden client-side.

I tried the same prompt (from #3 above) at least 5 times, it created SPAs every time.

6. Has a bad design taste

I thought that the new model will have a great design capabilities, but it does not! It's still all purple, as you see in screenshots here.

I blame the Antigravity harness here, because designs are slightly better when I used the same prompt in the Google AI Studio.

7. Antigravity CLI also has bugs

To be honest, the Antigravity CLI is far better than the previous Gemini CLI and it's better than the Antigravity app as well. But it also has some bugs:

• the prompt input field sometimes disappear
• the scroll doesn't work at all sometimes
• keeps asking for approvals, even after setting everything as "Always Proceed"

8. Other people sharing their experiences

Here are some posts by other people who have shared about Antigravity, that I found while browsing the internet:

• Robin created a quick video on X sharing how bad his experience was.
• The new 3.5 Flash model is very costly as well, as shared by someone on X.

Now, here are some things I liked:

1. I liked the multi-folder options for projects, as I can give access to multiple folders without giving access to the entire computer.
2. Usage limits for the new models are slightly higher than earlier on the AI Pro plan, and I think they have also added 1,000 extra AI credits for everyone.

That's it.

I will keep updating this page as I discover more things I like or dislike.

Recently, Google published a detailed guide on optimizing your website for generative AI features on Google Search, including a lot of interesting information. I came across this from this post on X from Gagan Ghotra, and created a powerful skill by consulting Gagan.

I published the skill in this public GitHub repo, and it can be accessed, installed, and used by anyone by following the provided instructions. And also created this quick video for beginners where I'm showing how to set up and use the skill (the same video on X).

Over the next few days, I will also be using the skills on different personal projects and will keep improving as per my experience with it. But since the GitHub repo is public, other people are also welcome to contribute.

And not to mention, the skill can be used with almost any AI agent/harness we have out there.

I still use the MacBook Air M2 with 16 GB of RAM and only 256 GB of storage, and it was working perfectly fine for my use case until recently. I started getting the low storage warnings sometimes, and that annoyed me a lot. And I was about to factory reset my laptop... but then at the last moment, I decided to ask Codex about it, and glad that I did.

Codex helped me free more than 100 GB of storage by deleting unnecessary stuff that were there from some apps that I used and deleted earlier. For example, I once tried a local model via Hugging Face and LM Studio and they were together taking 35 GB of storage. Similarly, I tried a Docker alternative called Colima and it was taking another 19 GB, as you see in the screenshot here.

It also gave me suggestion to remove folders from the ~Library/Application Support/* from apps which were not used or not installed on my system anymore. From here, you can see that I try a lot of applications like browsers and so on.

The screenshots you see above, is from an HTML file that I asked Codex to create after analyzing my laptop in detail. And it created a complete checklist with all the information that I can do to optimize my laptop. It did a great job.

Now, the funny thing is I earlier used Mole and even subscribed to the CleanMyMac app and there also weren't able to free these unnecessarily occupied storage. I tried them a few times, and they only cleared a maximum of 5-10 GB storage.

Another funny thing is, I have used Linux for years in the past and I know about the file systems a bit. But I have become lazy ever since I started using macOS (I love my MacBook though) and didn't even bother to check those folders. But after Codex gave suggestions, I went and deleted unnecessary folders and files by myself, and cleared over 100 GB of storage.

Life's good now!

I started working on SharePDF in January 2026, and it's been an amazing journey. It took ~4 months to reach 100 users, and now we're looking at 200 users in just 20 days after that.

Crazy, right? At least for me.

And in the last few weeks, I have also added enhanced existing stuff and have also added a few more features to the app. Some improvements done were:

1. Added a way to replace PDFs while keeping the same old share link
2. Introduced collections, a way to better manage lots of PDFs for power users
3. Improved analytics, so now users can see more data points, including per PDF analytics as well
4. Improved custom domain, billing, support, uploads, reliability, etc.

And still working to make everything even better for users.

Also, wrote a new blog post listing all the cool features SharePDF now has. I have tried to include everything here, and will probably keep this updated as well.

Apart from this, I am also launching SharePDF on Product Hunt tomorrow, i.e., May 13th at 12:30 IST. And I request your support for the launch, if you're reading this.

Thank you!

I wanted to use Kimi K2.6 from NVIDIA inside OpenCode, and it was simpler than I first thought. This and a bunch of other open-source models are free to try in NVIDIA, by the way.

I only had to add the API key, model details, and the correct base URL in the OpenCode config.

I wanted to try Kimi K2.6 but you can try other models as well. For Kimi, NVIDIA's model name is:

moonshotai/kimi-k2.6

But inside OpenCode, I had use it like below

nvidia/moonshotai/kimi-k2.6

I edited this file on my macOS device:

~/.config/opencode/opencode.jsonc

And added this config:

{
  "$schema": "https://opencode.ai/config.json",
  "model": "nvidia/moonshotai/kimi-k2.6",
  "provider": {
    "nvidia": {
      "npm": "@ai-sdk/openai-compatible",
      "name": "NVIDIA",
      "api": "https://integrate.api.nvidia.com/v1",
      "options": {
        "baseURL": "https://integrate.api.nvidia.com/v1",
        "apiKey": "YOUR_NVIDIA_API_KEY_HERE",
        "timeout": 600000,
        "chunkTimeout": 60000,
        "extraBody": {
          "chat_template_kwargs": {
            "thinking": true
          }
        }
      },
      "models": {
        "moonshotai/kimi-k2.6": {
          "name": "Kimi K2.6",
          "reasoning": true,
          "tool_call": true,
          "temperature": true,
          "attachment": true,
          "interleaved": {
            "field": "reasoning_content"
          },
          "modalities": {
            "input": ["text", "image", "video"],
            "output": ["text"]
          },
          "limit": {
            "context": 262144,
            "output": 65536
          },
          "options": {
            "chat_template_kwargs": {
              "thinking": true
            }
          }
        }
      }
    }
  }
}

The important bit is this URL:

https://integrate.api.nvidia.com/v1

NVIDIA's example uses the full /chat/completions URL, but OpenCode only needs the base URL. It adds /chat/completions by itself.

Works as expected, so that's it.

I ran into this after updating Laravel / Herd Lite using the php.new installer. The update itself looked successful, but when I tried creating a new Laravel project, the command was immediately killed by macOS.

Initially, it looked like a Laravel installer issue because I also saw a PHP parse error from inside the Laravel installer PHAR. But the actual issue was lower-level: the bundled PHP binary was getting blocked/killed when running from Herd Lite's installed bin directory.

The fix was to download fresh PHP, Composer, and Laravel installer binaries and place them in a clean local bin directory. Then I updated my shell PATH so this clean directory is used before the problematic Herd Lite bin path.

In short:

export PATH="$HOME/.local/herd-lite-bin:$PATH"

After reloading the terminal, php, composer, and laravel resolved to the working binaries, and laravel new started working again.

So if Laravel commands suddenly start saying zsh: killed after a Herd Lite / php.new update, check where your php and laravel binaries are coming from first.

I created a free tool a few months ago, and now it's getting 10-15 clicks every day from Google, as you see in the screenshot here. So... I researched a bit and realized that there is a solid SaaS opportunity on the site, I can have the main tool free but then can also build some paid features in the web app.

And not just this, take a look at another free tool I created before ChatGPT was launched, and it's still getting lots of traffic from Google and other referrers. Take a look at the screenshot here:

This one is getting 80-140 clicks a day consistently for years now, and I haven't done anything with it yet, but not anymore. I am working on it to bring some paid offerings in the app, currently, in the brainstorming phase. For research, I am analyzing other similar apps and also going through the data from Google Search Console, and it's been very helpful so far.

If you're wondering, I am not going to tell you what the app is about just yet because it's very simple, and the idea can be copied with just a prompt. But yes, I will eventually share more about these.

Honestly, "distribution" has always been important, but it has become even more important in the age of AI because "code" is not the moat anymore. In my case, I already have thousands of visitors coming to the tool and if I create the paid version, I will instantly have lots of potential customers.

Also, the concept of engineering as marketing is the most rewarding than ever in the current time, because creating free tools around your main product is simpler and faster than ever. If you want to experiment something with the lowest effort, just ask any LLM to give you ideas for free tools around you main product, create one, publish it in a subdomain, and forget it for a few weeks. If you see a positive traction, create the tool on the main domain, and do a redirect from the subdomain.

I think, this is the best use-case of AI for marketing.

I take a lot of screenshots and most of the time keep them in my clipboard and then paste wherever needed, like on socials or in AI coding tools when working. But sometimes, I also need to save those images locally on my computer, and till now I have been doing one of these two things:

1. Either take the screenshot once again, or
2. Paste images somewhere like on Imgur, and then save by using "save image as" feature

Silly, but yes.

However, I recently found out a trick that works like a charm, at least on macOS. The process is:

1. Open the Preview app, you can do so by searching for Preview via Spotlight search
2. Press cmd + n and you should already see the image from your clipboard

Now, just save it using cmd + s or however you want to, as you see in the screenshot here.

It works as expected and even gives you image format you want to save your screenshots as.

TIL.

For the last 2 days, I have been using the DeepSeek v4 Pro model via OpenCode Go and it has been a fantastic experience. I never expected the model to be this good at UI as well as logic.

For example, I am creating a custom blog publishing CMS powered entirely by Cloudflare (D1, R2, and Workers). Initially, I used Codex for this and Codex did ready the first working version, but the UI was very bad and cluttered and the user-experience wasn't great either. I didn't even like the CMS a bit.

But then I fired up OpenCode and gave everything to the DeepSeek v4 Pro model, and asked it to re-do and re-design everything by keeping user-experience in mind. I, then, went to the gym and the model had done its magic by the time I returned. It ran for ~35 mins and completed everything in one go, and the design was already looking much cleaner and just better.

I still had to give a few more prompts to refine some things, and it did everything perfectly. Just for your information, while working, I kept the thinking effort as default, as you see in the screenshot.

From the next month, I think I am going to save decent amount of money on AI tools subscriptions. Currently, I am subscribed to Codex $100 plan but now I think Codex $20 with OpenCode $10 (+ $10-20 for extra usage) should be enough for my use case.

Lastly, I think the DeepSeek v4 models should be taken more seriously by everyone. Their API pricing is also currently discounted by 75%, and there is absolutely no reason to not use this model.

Introducing EternalQR – a small web-app to create dynamic QR codes, update their links later, track scans, customize them, and download them as PNG or SVG files.

I got the idea for this from something that happened to my brother.

He had created a video on YouTube and added a QR code to it using some free QR code tool he found online. Initially, the QR code was working correctly. But later, when the video started getting lots of views, the QR code stopped working.

And because the QR code was already inside the video, there was no way to update or replace it.

That made me think that QR codes are a bit different from normal links. A link on a website can be changed anytime. But a QR code often ends up in places that are hard to edit later – YouTube videos, restaurant menus, business cards, flyers, packaging, event signs, invoices, stickers, and so on.

So I created EternalQR around one simple idea: if a QR code is already created and used somewhere, normal plan changes should not turn it into a dead link.

Some things it supports right now:

• dynamic QR codes with editable destinations
• scan analytics with country, device, browser, referrer, and time
• QR codes for websites, contact cards, Wi-Fi, SMS, email, phone, and plain text
• logo and color customization
• PNG and SVG downloads
• pause, expiry dates, tags, and basic dashboard management
• existing QR codes keep redirecting through normal plan changes

The app is built on Cloudflare Workers, D1, and KV, so redirects are very cheap to serve. Paid plans are mainly for things like more QR codes, longer analytics history, customization, and other features.

The pricing is also kept simple:

1. Free – 5 QR codes
2. Starter – $5/mo for 50 QR codes
3. Pro – $19/mo for unlimited QR codes
4. Lifetime – $89 once for Starter features

Not to mention, but all these plans come with unlimited scans.

Here's how an already created QR code page looks, with scan analytics and more.

It's not a huge ambitious product, but just a practical tool for a problem I saw happen in real life.

I love using the Safari web browser on my MacBook, especially when I'm traveling because it consumes less battery on the laptop. But with the macOS Tahoe 26 update, the Compact tabs feature was removed from the browser, and I was sad about it.

And I'm just learning that with the new macOS Tahoe 26.4.1 update, the compact tabs feature is back in the Safari browser, as you see in the screenshot here.

It's good already, but I think it behaves a bit differently than it did in the macOS Sequoia or Sonoma, when it was still available. But it's still good, and I'm using it for a day and love it.

Thank you, Apple.

I have been spending over $100 every month on Claude Max and Codex Pro plans as I use the latest models from these providers for coding, but now I don't think that's the best way to do it anymore.

The current best option I think is, instead of getting higher plan for any one AI tool, get smaller plans for multiple providers. And the best combo I can think of is the following.

1. Claude Pro – $20/mo
2. Codex Plus – $20/mo
3. OpenCode Go – $10/mo

Getting all these will only cost $50, but this is more than enough for my requirements. Here I will save money and also have access to top models from multiple providers. The different models can be used for different tasks that they're actually good at, for example:

• for all design and UI related work – use the latest Claude models
• for complex logic and programming – use the latest Codex models
• for smaller tasks and everything else – use Kimi, GLM, or Qwen models via OpenCode

And not just me but several other people are also starting to realize this.

Currently, I am subscribed to Codex $100 plan that ends next month, and also to OpenCode Go plan. But I'm going to downgrade Codex to $20 plan and then also subscribe to Claude $20 plan and keep my OpenCode Go for $10.

That should be more than enough for three full-time projects I am currently working on.

Yesterday, OpenAI launched the newest model GPT-5.5 which I was too excited about for the last few days. And here are my experiences so far with using the new model inside the Codex app.

1. GPT-5.5 is far better in frontend design than other OpenAI models like GPT-5.4 or 5.3-Codex. But it's still not at the level of Opus 4.7 of 4.6 when it comes to UI design.
2. Even though it was claimed by Sam Altman that the new model uses fewer tokens per task than previous models, it's not the case when I use it. In my case, it used way more tokens than GPT-5.4 because earlier I could never finish the 5-hour limit on the $100 plan, but today I did, as you see below.

3. The new model, GPT-5.5, definitely feels slightly faster than the previous, GPT-5.4, model in the standard mode. I think, both are equally faster in the speed/fast mode.
4. I didn't notice any significant improvement in the programming though with the GPT-5.5 model, it feels similarly capable as GPT-5.4 model. Or, maybe I haven't tested this enough yet.

Also, the new Codex app feels snappier and the UI and UX is slightly improved now.

Apart from this, I can still not rely completely on the Codex subscription itself. I can use OpenCode with models like GLM-5.1 and Kimi-K2.6 for frontend design and then GPT-5.5 for everything else. The OpenCode Go plan is very generous at $10/mo and has crazy limits as well. So if I had to reduce my monthly spending, I would go with OpenCode Go ($10/mo) + ChatGPT Plus ($20/mo) and maybe $20-30 extra on OpenCode, and that should cover all my requirements.

I'm still playing with the GPT-5.5 model so if I find something new worth sharing, I will keep this post updated.

Update: Apr 25, 2026

I posted about limits draining too fast on X and many people recommended that I should rarely use Extra High effort for my tasks, and suggested using either Medium or High for most tasks. So... I gave the "High" effort a try, and it's good, I am satisfied with it so far.

The app to share PDFs, SharePDF.app, that I created early this year has now reached the milestone of 100 users and I'm so happy for it. It took around 4 months to reach this milestone and I don't know what, but it makes me super happy.

I have been documenting most of the things on this page and reading previous logs takes me through the journey of things I did in the past few months – how I finalized which tech-stack to use, how I decided different features the app has, and more.

SharePDF is running stable and I don't need to do much on it now. But I still have 1-2 features or rather enhancements planned for near future. Also, I will be working on improving the landing pages as well, and maybe even create a few new ones targeting keywords that get searched a lot.

After seriously using Codex for a few days, it definitely seems smarter than Claude Code. But Codex is just awful at design. I have tried to make good designs using Codex multiple times, and it just doesn't work. In fact, I tried creating a few new pages for my Vemgram project that I am mainly working on these days, and even though the site has a design system set up, Codex is still unable to create designs that matches the aesthetics of the rest of the website.

I am very much disappointed for that.

For this reason, nowadays, I have started using OpenCode whenever I need to design something. I love the newest launched models like Kimi K2.5, Qwen 3.6 Plus, and GLM-5.1 models inside OpenCode. These open-source models are almost as good as Opus 4.6/4.7 when it comes to design.

Apart from this, I am hearing rumors that OpenAI is about to launch GPT-5.5 and also that it's great at design. If that's the case, I won't regret subscribing to Codex Pro at all.

It's been almost an hour since OpenAI's Codex is completely down, as you see in the screenshot below. I recently moved away from Claude for this reason, and now I am facing the same issues here as well.

Codex still hasn't become as bad as Claude was a week ago and before that, but it seems like it's getting there. And it's surprising to me that if these AI companies can't keep up with the rising demands, why don't they just pause new signups temporarily? I mean, it will be better for everyone, no? – for users and then for their own brand image as well.

This is not at all fair for users. They're paying the premium to just experience degraded performance all the time. For example, just take a look at Claude's status chart for the last 90 days and you'll see lots of yellows and reds.

I, myself, had been paying at least $100 each month to Claude and now to Codex, but getting the same degraded performance. Honestly, I don't blame OpenAI or Anthropic for that they can't keep up with the demand, but I blame them because why are they still allowing signups and ruining the experience for everyone? They should just pause signups for some time till they get more compute, and if required pause again for some time till they get more compute, and so on.

I also run a SaaS, and I will feel very bad if I keep charging a fee to my customers and if my app is consistently down. I will even refund them and pause new signups till I get things sorted.

That's it.

Sorry for the rant, really.

I just started using Claude Code's new no-flicker or full-screen mode for the CLI and I like it better than earlier. When enabled, it just sends the text input field at the bottom of the screen and makes it sticky. Just like how you see in the screenshot here:

I like it because it doesn't disturb me when Claude is generating a large output, then I can keep reading from the top while it outputs at the bottom, without disturbing my flow.

Today, I suddenly started receiving emails like below from Google Search Console for all my sites already added. These emails are normally sent when a new site is added to the GSC for tracking the search performance, but mistakes were made, for sure.

I have at least 8-10 sites added to this Gmail account and I received emails for all those in a 3-5 hour span. I also posted about this on X and several people confirmed that they have also received the same emails.

And if you're curious about the contents of these emails, see the screenshot above. It's the same that Google sends when you add a new site to GSC.

I hope they fix it soon and do not annoy me, again.

Update: Apr 15, 2026

It was just a "glitch" as everyone suspected, as confirmed by John Muller from Google. Learned about this from this post on X by Gagan Ghotra.

Introducing SharePDF – a web-app to host PDFs, share them as URLs, track their view analytics, and do much more. It's live and working, and already has more than 80 users at the time of writing this post.

I had this idea to create an app that makes sharing PDFs easier for at least 2 years, but I never worked on it. However, somehow I started working on it from January this year, i.e. 2026. I haven't done any kind of marketing as of now, and still regularly getting signups from sources I wouldn't even have guessed – Instagram and ChatGPT. Yes, someone must have created some content that people are discovering SharePDF from.

Today, I have also posted on X for the first time about the app. Apart from this, I have also been sharing build logs on this page on my website – it just helps me keep myself in the loop.

Currently, I am not working on new features for the app but mainly working on improving the landing page, copy, and user experience.

By the way, I also launched Vemgram, a platform to connect Indian manufacturers with buyers, a few days ago. So, now, I have two full time projects that I am working on these days.

Came across this post on X that shares a hack, a way to maximum utilize your Claude Code usage limits by setting up scheduled tasks. It seems silly at first, but it's actually helpful.

As explained in the post, I set up a cron that sends "hi" every 5 hours starting from 8AM IST so that as soon as the limit resets, it immediately starts a new cycle so that you have clean time blocks.

30 2,7,12,17 * * *

And the best thing is, you don't need any extra tool to use for this.

Meta just launched a new AI model called Muse Spark which is now available to use via meta.ai and the Meta app. It's not available via the API, yet.

As of now, it looks good on the evals as you see in the screenshot here. In categories, it's shown to be even better than Opus 4.6 and GPT-5.4.

I tried the model via meta.ai web interface with my Facebook login, and I must say that it has a better sense of design than GPT-5.4. For example, I just asked it to create a minimal personal website and this was the result.

I am still testing this, and will keep this post updated.

Also, I must say that I liked the meta.ai web interface and it feels fast and snappy. It even let me see the website in a new tab.

Milla Jovovich launched an open-source AI memory system called mempalace with a bold claim saying "highest-scoring AI memory system ever benchmarked". She first announced about this on her Instagram and then it's picked by multiple folks from there.

And yes, that Milla Jovovich from movies like Resident Evil and The Fifth Element. She's an engineer and loves to code as well.

But then I came across this issue on GitHub that highlights multiple false claims, as you see in the screenshot.

As she claims in the video, it's still work in progress, and she might still be working on this, so there might be some gaps in the README vs the actual codebase. But the concept of the tool is still very good, and there is also lots of good information in the README file that you can explore.

Google has a new app for Android and also for iOS called AI Edge Gallery that lets people explore and use local on-device LLMs. Currently, it's featuring the newly launched Gemma 4 family of models.

This is written in their app description on app stores:

AI Edge Gallery is the premier destination for running the world's most powerful open-source Large Language Models (LLMs) on your mobile device. Experience high-performance Generative AI directly on your hardware—fully offline, private, and lightning-fast.

And to my surprise, the app itself is open-source. I love whatever is Google's game here.

I tried the app on my Android device, and even downloaded the smallest Gemma-4-E2B-it model and it worked fine. The app has multiple different options, as you see in the screenshots, and it looks stunning as well.

I am traveling next week via train and the network is not stable sometimes, so I can easily chat with these local models. I have tested for a bit, and they're good at non-coding stuff.

I noticed some users signing up on a project with throwaway emails from services like yopmail, guerrillamail, and tempmail. They'd sign up, poke around, and create multiple accounts to use the service for free.

I researched solutions for it and found propaganistas/laravel-disposable-email, a popular Laravel package (~1.35M downloads) that gives you an indisposable validation rule. It pulls from a community-maintained list of ~72k known disposable domains.

But I didn't want another package dependency for something this simple. So I grabbed their JSON file with 72,000+ disposable domains, and wrote a tiny custom validation rule:

class NotDisposableEmail implements ValidationRule
{
    public function validate(string $attribute, mixed $value, Closure $fail): void
    {
        $domain = strtolower(substr(strrchr($value, '@'), 1));

        if (in_array($domain, $this->disposableDomains(), true)) {
            $fail('Disposable email addresses are not allowed. Please use a permanent email address.');
        }
    }

    private function disposableDomains(): array
    {
        return once(function (): array {
            $path = resource_path('data/disposable-domains.json');

            if (! file_exists($path)) {
                return [];
            }

            return json_decode(file_get_contents($path), true) ?? [];
        });
    }
}

Then added it to the registration validation in CreateNewUser.php:

'email' => [
    'required',
    'string',
    'email',
    'max:255',
    new NotDisposableEmail,
    Rule::unique(User::class),
],

That's it. No package, no API calls, no latency. The JSON file loads once per request (using Laravel's once() helper), and if the file is somehow missing, it silently passes so nothing breaks. It shows this when someone tries signing up using a disposable email:

The only downside is that the list is static and new disposable services won't be caught until I update the JSON. But for now, it's good.

Update:

After many people pointed out on Thread and X, I have now removed the blocking for disposable domains and exploring better ways to filter out low-quality signups.