DEV Community: Maulik Solanki

I built a browser-based productivity toolkit — how do you get initial traction without a marketing budget?

Maulik Solanki — Sat, 12 Sep 2026 04:23:59 +0000

Over the last few months I've been building PixelTrim (pixeltrim.vercel.app) — a set of 25+ small browser-based tools (PDF merger, image compressor, word counter, JWT decoder, QR generator, background remover, etc.) that run mostly client-side so files don't need to leave the browser for simple jobs.

Technically it's in a decent place — Next.js, fast, no signup walls, no accounts, no ads yet. But I'm now hitting the part every solo/indie builder dreads: going from "it works" to "people actually find and use it."

Right now traffic is basically word-of-mouth + a handful of organic hits, and I want to be smart about the next few months instead of just throwing spaghetti at Twitter and hoping.

A few specific things I'd love this community's take on:

1. Backlinks for a brand-new domain

For a site with zero domain authority, what's actually worked for you — directories (like AlternativeTo, Product Hunt, SaaSHub), guest posts, tool-comparison roundups, or something less obvious? Do "submit your tool" directories still move the needle in 2026, or is that mostly noise now?

2. SEO for single-purpose utility pages

Each tool lives on its own route (e.g. /pdfmerger, /wordcounters). Is it better to aggressively target long-tail keywords per tool page, or to build more editorial/blog content around each tool to earn topical authority? Curious how people structure internal linking between a bunch of small utility pages like this.

3. Getting first real users without paid ads

For anyone who's launched something similar (free utility/tool sites), what channels actually converted for you — Reddit communities, niche Discord/Slack groups, Hacker News "Show HN," dev.to itself, or something else entirely?

4. Standing out in a crowded "online tools" space

There are a LOT of PDF mergers and image compressors out there already. If you were positioning a new entrant in this space, would you lean into a niche (e.g. "developer tools only," or "privacy-first, browser-only processing") rather than trying to be everything to everyone?

Not looking for a magic bullet — just curious what's genuinely worked (or flopped) for people who've grown something from zero. Happy to share what I try and how it goes if that's useful to others in the same boat.

GPT-6 Astra Is Here — Is This Actually a "Taste of AGI" or Just a Really Good Update?

Maulik Solanki — Thu, 10 Sep 2026 05:47:58 +0000

OpenAI just shipped GPT-6 Astra, and depending on which corner of tech Twitter (X?) you were standing in on launch day, you either saw "welcome to the AGI era" or "cool benchmarks, still can't merge the PR." As devs, we've learned to be skeptical of launch-day hype — so let's actually dig into what shipped, what the numbers say, and where the real debate is.

The headline stuff

Released September 3, 2026, as OpenAI's new flagship model, replacing GPT-5.6 Sol.
OpenAI is calling it the "world's most intelligent and aligned model," built for computer use, browsing, coding, science, cybersecurity, and long professional workflows.
It's rolling out across ChatGPT Plus/Pro/Business/Enterprise, the OpenAI API (gpt-6-astra), Microsoft Azure, and AWS Bedrock.
API pricing: $10/M input tokens, $50/M output tokens — about 2.5x Sol's pricing.
It's the first OpenAI model to hit the "Critical" cybersecurity threshold under their Preparedness Framework, which is a big deal and the reason the rollout was staggered instead of instant.

The benchmark story is... complicated

This is where it gets interesting for a technical audience. OpenAI's own numbers are eye-popping in places:

99.9% on ARC-AGI-3 (vs. ~30% for Claude Opus 5, ~8% for Sol)
97.6% on FrontierMath Tier 4
Big jumps on cybersecurity-flavored evals — reportedly finding two previously unknown zero-days during internal exploit testing
Roughly 1.9x faster computer-use task completion vs. the Sol-era Codex experience
On a reverse-engineering benchmark (understanding compiled binaries with no source access), Astra hit 88% on the first try and over 99% within four attempts, way ahead of Sol

But here's the twist: independent benchmark trackers tell a more modest story. On the neutral, third-party Artificial Analysis Intelligence Index, Astra scores roughly on par with Sol and actually trails Claude Fable 5.1. On coding-agent composite scores, Astra and Fable land close together, with some trackers giving Fable a slight edge. The consistent theme across write-ups: Astra's real advantage isn't raw peak intelligence — it's efficiency. It reportedly uses about a third of the tokens Sol needed on coding-agent tasks, so at "max effort" it ends up cost-comparable to Sol while scoring a bit higher, and notably cheaper than rival frontier models for similar output quality.

Early hands-on devs (including some well-known coding YouTubers) landed on a similar split verdict: genuinely stronger raw coding capability, but front-end polish and "would I actually merge this PR" quality still feels close to a toss-up with Anthropic's latest.

The feature devs will actually care about

Buried under the benchmark fireworks is a workflow change that might matter more day-to-day: in Codex, Astra reportedly keeps persistent, searchable notes across context windows instead of just compressing everything into a rolling summary. If you've ever had a long agentic debugging session where the model "forgets" why an earlier fix didn't work, this is aimed directly at that pain point.

Also notable: it's the engine behind Sites in ChatGPT, letting the model create, host, and share websites/web apps/games straight from a prompt — plus stronger performance on 3D/CAD-style and shader/procedural-generation tasks, which is why a chunk of the launch buzz was demos (Blender-to-Unreal scenes, procedural oceans, FPS map generation) rather than pure SWE-bench-style scores.

The part that's actually controversial

Beyond "is it better than the competition," there's a more substantive safety conversation happening among researchers:

Hitting the "Critical" cybersecurity capability tier is a first for OpenAI, and it directly affected the slow, gated rollout.
Some alignment researchers have flagged a tension: Astra appears more aligned in behavior but potentially less monitorable via chain-of-thought — meaning it's harder to inspect why it's making the aligned choices it makes. A few well-known safety researchers described this as a genuinely concerning trend worth watching industry-wide, not just an OpenAI problem.
There's also a broader "AGI era" framing from OpenAI's own comms that a lot of independent researchers pushed back on, pointing out the jaggedness that's still very present — strong at some things, surprisingly weak at simple ones.

Discussion time 👇

I'm curious where this community lands, because the "which lab is ahead" debate feels different every single month right now:

Efficiency vs. peak intelligence — does "does the job well for a third of the tokens" matter more to you in production than topping a leaderboard?
Has anyone here actually run Astra vs. Fable 5.1 (or Opus 5) on a real repo, not a benchmark? What was your "would I merge this" verdict?
Do you think persistent cross-context memory in agentic coding tools (Codex's new notes system) is the unlock we've been waiting for, or just a band-aid on context window limits?
On the safety side — how much should "harder to monitor, but seemingly more aligned" worry practitioners actually shipping agents in production?
Are we all just going to keep re-benchmarking our internal tools every 6-8 weeks forever now, or does anyone have a saner way to evaluate "is it worth switching models" for their actual codebase?

Drop your takes, your actual usage numbers, or your "I tried it and here's what broke" stories below. 🔧

AI Didn't Make Developers Faster. It Made Many Developers Lazy.

Maulik Solanki — Wed, 09 Sep 2026 06:09:30 +0000

I'm going to say something that probably won't be popular with developers:

AI didn't just make coding faster. It also made a lot of developers stop thinking.

And yes, I'm a developer too.

Before AI became part of our daily workflow, if we didn't know how something worked, we had to:

Read the documentation.
Search through GitHub issues.
Debug the problem.
Read someone else's code.
Try something.
Break it.
Fix it.
Understand why it broke.

Now?

"ChatGPT, fix this."

Copy → paste → run.

It works.

Ship it.

And that's where I think we're creating a problem.

The dangerous part isn't AI-generated code

AI-generated code isn't inherently bad.

Actually, it's incredibly useful.

I use AI for things like:

Boilerplate
Repetitive code
Refactoring
Explaining unfamiliar code
Finding possible bugs
Generating test cases
Exploring different approaches

The problem starts when developers stop trying to understand the code they're asking AI to generate.

I've seen developers ask AI to write a complete feature, paste the result into their project, and then struggle to explain what the code actually does.

That's not productivity.

That's dependency.

"But why should I learn it if AI can do it?"

This is probably the biggest argument I'll get in the comments.

And honestly, it's a fair question.

If AI can write a CRUD API in seconds, why should I spend hours memorizing how to write one?

You shouldn't.

You don't need to memorize everything.

But there's a huge difference between:

"I don't remember how to implement this."

and

"I have no idea what this code is doing."

The first one is normal.

The second one is dangerous.

You can forget syntax.

You shouldn't forget how to think.

The junior developer problem

This gets even more interesting for junior developers.

A few years ago, struggling with a bug forced you to develop debugging skills.

Now, you can paste the error into an AI tool and get a solution almost immediately.

That's amazing.

But if you never experience the struggle, when do you actually develop the skill?

A junior developer who uses AI to learn can become extremely productive.

A junior developer who uses AI to avoid learning can become extremely dependent.

Same tool.

Completely different outcome.

Maybe "10x developer" is changing

I don't think the best developer in the AI era will be the person who can write the most code.

It might be the person who can:

Understand the problem → design the solution → use AI effectively → verify the result → take responsibility for it.

AI can generate 500 lines of code.

But it doesn't automatically mean those 500 lines belong in your production application.

You still have to know:

Is this architecture appropriate?
What happens at scale?
What happens when the API fails?
Is there a security issue?
Is this query going to destroy the database?
What happens with unexpected input?
Is this actually maintainable?

That's still your responsibility.

So should developers stop using AI?

Absolutely not.

That would be ridiculous.

AI is probably one of the biggest productivity tools developers have ever received.

Use it.

Just don't let it replace the part of your brain that is supposed to understand the problem.

Because there's a difference between:

"AI helps me code."

and

"I can only code when AI tells me what to do."

The first is the future.

The second is a problem.

What do you think?

Has AI actually made developers more productive?

Or are we quietly creating a generation of developers who are becoming better at prompting than programming?

I'm genuinely interested in hearing both sides.

What's your thoughts on this?

Maulik Solanki — Tue, 08 Sep 2026 11:20:27 +0000

Maulik Solanki

Aug 14

The Internet Has Too Many Tools for Simple Problems

#webdev #productivity #resources #developers

2 min read

AI Coding Is Only as Good as the Developer Behind It

Maulik Solanki — Mon, 31 Aug 2026 12:36:54 +0000

I've noticed something interesting while using AI for coding:

Developers who give AI more context usually get better code than developers who simply ask for code.

Compare these two prompts.

❌ Basic prompt

Create a login API using Node.js.

✅ Better prompt

I'm building a MERN application. Create a login API using Node.js, Express, and MongoDB.

Requirements:

Email + password authentication

Hash passwords with bcrypt

Return a JWT on success

Return proper errors for invalid credentials

Don't add new dependencies

Keep the controller separate from the route

First explain the approach, then provide the code.

The second prompt isn't necessarily "better" because it's longer.

It's better because AI knows the environment, constraints, and expected result.

A simple rule for AI coding

Before asking AI to write something, give it:

Context → Goal → Constraints → Expected output

For example:

"Here's my existing function. Fix the bug without changing its API, don't modify unrelated code, explain why the bug happens, then provide the corrected function."

That single habit can dramatically improve AI-generated code.

But there's one thing AI still can't replace:

Your judgment.

AI can generate 100 solutions.

You still need to decide which one belongs in production.

That's why I don't think AI is making developers less important.

It's making clear thinking more important.

#ai #coding #programming #promptengineering #webdevelopment #softwaredevelopment

The Internet Has Too Many Tools for Simple Problems

Maulik Solanki — Fri, 14 Aug 2026 04:26:24 +0000

There is a strange amount of friction around very simple tasks on the internet.

You need to resize an image.

Remove a page from a PDF.

Count some words.

Convert a file.

Generate a QR code.

Calculate something quickly.

None of these are difficult problems. But finding a convenient way to solve them sometimes is.

You search for a tool, open a few websites, deal with ads or popups, figure out the interface, and sometimes discover that the "free" version has a limit.

For a task that should take 30 seconds, that's a lot of work.

Small problems don't need big software

I don't think every small problem deserves a full application.

If I need to resize one image, I probably don't need an image editor.

If I need to remove two pages from a PDF, I don't need a complete document-management application.

If I need to calculate something once, I don't need another piece of software installed.

Sometimes a small browser utility is simply the better solution.

Open it → do the task → close it.

That's it.

This happens a lot when you're developing

Developers run into these tiny problems constantly.

A screenshot needs to be resized before adding it to documentation.

A PDF needs one page removed before sending it somewhere.

A piece of text needs to be cleaned up or counted.

An image needs to be converted into another format.

A QR code is needed for a quick demo.

These aren't really "projects."

They're just small pieces of friction interrupting whatever you're actually trying to do.

And that's where having a collection of simple utilities can be surprisingly useful.

I like tools that don't require a workflow

The best utility websites, in my opinion, are the ones where you don't have to learn anything.

You shouldn't need a tutorial for a word counter.

You shouldn't need an account to resize one image.

You shouldn't need to install software to perform a five-minute task.

The interface should almost disappear.

You arrive with a problem, solve it, and leave.

That's the idea behind tool collections

I've been using PixelTrim for this kind of thing — a collection of small browser utilities for PDFs, images, text, calculations, and developer tasks.

But the larger idea is what interests me:

Not every problem needs a sophisticated solution.

Sometimes the best software is simply the thing that removes an annoying little step from your day.

And there are plenty of those steps.

A 5-Minute Task Shouldn't Need a 50MB App

Maulik Solanki — Thu, 13 Aug 2026 11:52:17 +0000

There are a lot of small tasks developers do surprisingly often:

resize an image
convert an image format
merge a couple of PDFs
extract text from an image
generate a QR code
count words
remove a page from a PDF

None of these tasks are particularly difficult.

The annoying part is finding a tool for them.

You search for one, land on a website covered in ads, upload your file, close three popups, get asked to create an account, and finally discover that the "free" version has a file-size limit.

So I've started thinking about these tools differently.

Does this actually need a server?

This is probably the first question worth asking.

For some operations, the browser already gives us most of what we need.

Take image resizing.

A file can be loaded into the browser, drawn onto a canvas, and exported again:

const image = new Image();

image.onload = () => {
  const canvas = document.createElement("canvas");
  const ctx = canvas.getContext("2d");

  canvas.width = 800;
  canvas.height = 600;

  ctx.drawImage(image, 0, 0, 800, 600);

  canvas.toBlob((blob) => {
    // Download or use the processed image
  }, "image/jpeg");
};

image.src = URL.createObjectURL(file);

No API request.

No database.

No file upload service.

For a simple transformation, the browser is already the processing environment.

And that has another advantage:

the file doesn't necessarily have to leave the user's device.

But client-side processing isn't automatically better

This is where things get interesting.

A 2 MB JPEG doesn't mean the browser only needs 2 MB of memory.

Suppose the image is 4000 × 3000 pixels.

That's 12 million pixels.

With 4 bytes per pixel for RGBA:

12,000,000 × 4
= 48,000,000 bytes

That's roughly 48 MB just for raw pixel data.

Now add the original file, decoded image, canvas, output blob, previews, and potentially another copy.

Suddenly a "small" image-processing operation isn't so small.

That's why an application can work perfectly during development and then behave badly when someone uploads a photo straight from a modern phone.

The same problem appears with PDFs

PDF tools have a similar problem.

A PDF with 50 pages shouldn't necessarily mean:

Render all 50 pages at maximum quality immediately.

For a preview interface, thumbnails are enough initially.

Then, when the user selects a page:

PDF
 │
 ├── Page 1 → thumbnail
 ├── Page 2 → thumbnail
 ├── Page 3 → thumbnail
 ├── ...
 │
 └── Page 50 → thumbnail

User selects Page 23
        ↓
Render Page 23 at a larger size

This is a small architectural decision, but it makes a noticeable difference to perceived performance.

The application isn't necessarily doing less work overall.

It's doing the work when it becomes useful.

Object URLs are another small thing worth remembering

For previews, you don't always need to convert a file into base64.

const url = URL.createObjectURL(file);

Then:

<img src={url} alt="Preview" />

Simple.

But there's a catch:
URL.revokeObjectURL(url);

If an application repeatedly creates object URLs and never releases them, memory can accumulate.

These are the kinds of details that don't matter much in a tutorial example.

They matter much more in an application where users can upload, replace, preview, and process files repeatedly.

Maybe we have too many separate tools

There's also a UX problem here.

If someone needs to remove one PDF page, they probably don't want to install a PDF application.

If someone needs to convert PNG to JPG once, they probably don't want another desktop application.

If someone needs to generate a QR code once, they probably don't want an account.

For occasional tasks, a lightweight browser utility often makes more sense.

I've been collecting some of these small utilities in one place for exactly that reason:

PixelTrim — https://pixeltrim.vercel.app/

It has PDF, image, text, calculator, and developer utilities.

But the interesting part isn't really the website.

The interesting part is how much functionality modern browsers can provide without turning every tiny task into a full SaaS application.

The browser is more capable than we give it credit for

Between:

File API
Blob
ArrayBuffer
Canvas
Web Workers
Web Crypto
WebAssembly
IndexedDB
URL APIs

there's a surprisingly large amount of work that can happen locally.

Of course, server-side processing still makes sense for plenty of situations.

Large files, expensive computation, persistent storage, collaboration, authentication, and workflows that require backend infrastructure are obvious examples.

But for small utilities, it's worth asking one question before reaching for an API:

Can the browser already do this?

Sometimes the simplest backend is no backend at all.

[Boost]

Maulik Solanki — Mon, 15 Jun 2026 11:48:44 +0000

Maulik Solanki

May 6

Your Website Is Losing Customers Every Single Day — And You Don't Even Know It

#webdev #ai #chatbot #mernstack

2 min read

I Got Tired of Printing Documents Just to Add My Signature

Maulik Solanki — Mon, 15 Jun 2026 04:59:53 +0000

Most digital forms still have one annoying step:

Download PDF
Print it
Sign it
Scan it again
Upload it back

For something that should take 10 seconds, it somehow becomes a 10-minute task.

The workaround I used

Instead of printing documents, I started creating transparent PNG signatures that can be placed directly on PDFs, Word documents, contracts, and forms.

The process is simple:

Draw your signature once
Download it as a transparent image
Reuse it whenever needed

No printer.
No scanner.
No paper.

Why transparent signatures are useful

A transparent signature image can be used in:

Employment forms
Freelance contracts
Rental agreements
Client approvals
School or university documents

Because the background is transparent, it blends naturally into the document.

The problem with most signature tools

Most online tools either:

Add watermarks
Require sign-up
Limit downloads
Force you into a paid plan

For something this simple, that feels unnecessary.

So I built a tiny tool

I built a small browser-based signature downloader that lets you:

Draw a signature
Preview it instantly
Download it as an image
Use it anywhere

Everything happens directly in the browser.

Curious how others handle this?

Do you:

Use a scanned signature?
Use a dedicated e-sign platform?
Sign directly on PDFs?
Still print and scan documents?

I'd love to know what workflow people are using today.

I built a small browser-based signature downloader for this workflow.

If you'd like to try it:
SIGNATURE DOWNLOADER

Would love feedback on what features you'd add.

Your Website Is Losing Customers Every Single Day — And You Don't Even Know It

Maulik Solanki — Wed, 06 May 2026 12:04:40 +0000

Here's what's happening right now on your website.

A visitor lands on your page.
They have a question.
Nobody answers.
They leave.

And you never knew they were even there.

This happens hundreds of times a day on websites
that have no live support. No chatbot. Nothing.

Just silence.

What If Your Website Could Talk Back?

Not with buttons.
Not with "Press 1 for billing."

But with a real, intelligent AI assistant that:

Knows everything about your business
Answers instantly in the visitor's own language
Works at 3am on a Sunday
Never gets tired, never gets frustrated
Never gives a wrong answer about your services

This is what an AI chatbot does for your business.

What Can It Actually Do?

Answer questions instantly
Pricing, services, delivery time, refund policy,
working hours — whatever visitors ask most,
your chatbot handles it. Every time. Instantly.

Speak every language
A visitor types in Hindi. It replies in Hindi.
Someone types in Arabic. It replies in Arabic.
80+ languages. Zero extra setup.
Your business becomes globally accessible overnight.

Capture leads while you sleep
Visitor interested at midnight?
Your chatbot collects their name, email, query —
and hands it to you in the morning.
No lead lost. Ever.

Reduce repetitive support
The same 10 questions eat hours of your week.
An AI chatbot answers all of them automatically.
You focus on work that actually needs you.

Build instant trust
A smart, responsive assistant on your page
tells visitors you are serious about your business.
First impressions matter. Make yours count.

Works on any platform
WordPress. Shopify. React. Next.js. Webflow.
Plain HTML. Doesn't matter.
One small piece of code. Chatbot is live.

The Real Cost of NOT Having One

Every unanswered question is a lost sale.
Every visitor who leaves with doubt never comes back.
Every hour you spend answering "what are your prices?"
manually is an hour stolen from real work.

An AI chatbot is not a luxury anymore.
It is the minimum your visitors expect in 2026.

Who Needs This?

→ E-commerce stores tired of cart abandonment
→ Restaurants & cafes getting the same questions daily
→ Clinics & salons handling appointment queries
→ Agencies & freelancers explaining services repeatedly
→ SaaS products needing instant user support
→ Any business that gets visitor questions

If that sounds like you — let's talk.

I set up and integrate AI chatbots trained on your
business data. Live on your page within 24 hours.

👇 Check my Fiverr gig here:
https://www.fiverr.com/s/pdKqXry

Drop a comment or DM if you have any questions.
Happy to help 🚀

-> #AI #Chatbot #WebDevelopment #CustomerSupport
-> #SmallBusiness #BuildInPublic #Freelancing #Fiverr

Most useful and Most time saving tool of 2026.

Maulik Solanki — Mon, 27 Apr 2026 10:38:36 +0000

Maulik Solanki

Apr 27

I Built 20 Free Tools in One Place — No Login, No Ads, No BS

#webdev #productivity #javascript #tooling

3 min read

I Built 20 Free Tools in One Place — No Login, No Ads, No BS

Maulik Solanki — Mon, 27 Apr 2026 10:35:16 +0000

You know that feeling when you need to quickly remove a background from an image, and you end up on some sketchy website that demands your email, shows you 4 ads, limits you to 3 free uses, then paywalls the download?

Yeah. I got tired of it too.

So I built PixelTrim — a collection of 20 everyday tools that are genuinely, permanently, no-strings-attached free. No account. No watermark. No "3 free uses remaining." Just tools that work.

🔗 pixeltrim.vercel.app — open it right now in a new tab. No signup prompt will greet you. I promise.

What's Actually Inside

Here's the full list, grouped by what you're trying to do:

PDF: Merger · Splitter · Image to PDF · Text to PDF
Image: Background Remover · Compressor · Resizer · Blur Tool · Format Converter · Image to Text · Signature Creator
Text: Word Counter · Instagram Font Generator
Developer: QR Code Generator · Color Picker · Base64 Encoder/Decoder · JWT Decoder
Calculators: GST Calculator · EMI Calculator · Age Calculator

The Tools I Use Weekly (And You Probably Will Too)

🖼️ Background Remover — Uses AI to cut out backgrounds with precision. I use this for profile photos, product shots, thumbnail assets. Works on the first try, no fiddling with sliders.

📄 PDF Merger — Combine contracts, invoices, reports into one file. Drag. Drop. Download. The entire workflow takes 10 seconds.

🔐 JWT Decoder — Paste a token, instantly see the header and payload. Every backend dev has had that "wait, what's actually in this token?" moment at 11pm. This is for that moment.

🖊️ Signature Creator — Draw or type your signature, download it as a transparent PNG. Free forever. No DocuSign subscription required just to sign a rental agreement.

🔡 Instagram Font Generator — Convert plain text into Unicode styled fonts. Useful if you manage social media or just want a distinctive bio. Yes, this is a developer-built tool. No shame.

🔒 Blur Image Tool — Redact sensitive info from screenshots before sharing. Meeting links, email addresses, personal data — blur it before it becomes a problem.

Why I Built This (The Honest Story)

It started with one frustrating Tuesday afternoon. I needed to:

Merge a multi-page PDF for a client
Compress an image that was too large to email
Generate a QR code for a project demo
Three tasks. Three different websites. Two email signups. One subscription upsell. Forty-five minutes wasted on UI friction instead of actual work.

I thought: these are all solved problems. They just need to exist in one place, built well, with none of the nonsense.

So I built PixelTrim. And then I kept adding tools every time I caught myself reaching for a sketchy site.

What "Free" Actually Means Here

I know "free" is a loaded word on the internet, so let me be specific:

What you will NOT see

- Login walls
- Usage limits
- Watermarks
- Ads anywhere
- "Pro" upsells

What you WILL get

- Instant results
- Privacy-first processing
- Clean UI
- All 20 tools
- Forever

The Tech Stack (For the Curious)

Built with Next.js, deployed on Vercel. Most processing happens client-side — your files don't leave your browser for the majority of tools. The AI-powered tools (background removal, OCR) make secure API calls but don't store anything.

Fast by design. The homepage loads in under a second. Each tool loads lazily. No bloat.

What's Coming Next

I'm actively adding more tools. On my list:

Markdown to PDF converter
JSON formatter & validator
SVG editor
Unit converter
Password strength checker
If there's something you wish existed in a free, no-signup tool — drop it in the comments. I'm genuinely building this based on what people actually need.

Try it now: pixeltrim.vercel.app
No signup. Open it, use it, close it. That's the whole experience.

If this saves you even 5 minutes of Googling sketchy tool sites, give it a ❤️ — it helps more devs find it. And if you want to bookmark it for the next time you're in a pinch, it's just one URL to remember.