u/Johin_Joh_3706

Why YSK: If you remember reading something online but can't remember the website, you don't necessarily need to remember the title or URL.

In many browsers, you can search your history using words that appeared on the page. Your browser may have saved the page title, URL, or other indexed information that makes the page easier to find.

For example, if you remember reading an article about a specific programming technique but only remember the phrase "vector database", try searching your browser history for that phrase.

This can be surprisingly useful when you visit dozens of pages a day and later think:

"Where the hell did I read that?"

Why YSK: If you're looking for a particular kind of document, you don't have to dig through pages of irrelevant results.

Google lets you restrict results to a specific file extension using filetype:.

For example:

filetype:pdf machine learning interview questions

or:

filetype:xlsx monthly budget template

or:

filetype:pptx marketing presentation

You can also combine it with a specific website:

site:edu filetype:pdf calculus notes

This is particularly useful when you're looking for actual documents, spreadsheets, presentations, research papers, manuals, or templates rather than webpages talking about them.

I use site: + filetype: together quite often when searching for technical documentation and university resources.

Why YSK: If you find an image online and want to figure out where it originally came from, don't just search the filename.

Try reverse image searching the image, then look for the **oldest/highest-quality result** rather than the first result.

A useful workflow is:

1. Reverse image search

2. Open several matching results

3. Look for the earliest publication date

4. Compare image resolution

5. Check whether the page actually credits the image

This is especially useful when researching old photos because the same image can get reposted hundreds of times.

If you find an image online and want to figure out where it originally came from, don't just search the filename.

Try reverse image searching the image, then look for the oldest/highest-quality result rather than the first result.

A useful workflow is:

1. Reverse image search
2. Open several matching results
3. Look for the earliest publication date
4. Compare image resolution
5. Check whether the page actually credits the image

This is especially useful when researching old photos because the same image can get reposted hundreds of times.

VOLTA: Neon endless runner. Jump, slide, shoot drones, buy skins with coins. Tiny app,

opens instantly, works offline, no account or signup required

Opt-in: https://play.google.com/store/apps/details?id=com.johinjohny.volta

I test back, properly. Comment your link and I'll opt in today and keep it

installed the full 14 days. I'll confirm in a reply once I'm in so you know

it's not a drive-by.

Feedback welcome but not required. If you do play it, the most useful thing

you can tell me is where you got bored and where a death felt unfair.

If you are interested please DM me your email and i'll add you to the testers list

Thank you so much

Hey everyone,

Myself and 3 of my friends are moving to Dublin from India in the first week of September to pursue our Master’s in Artificial Intelligence at the National College of Ireland (NCI).

We are looking for a place to accommodate the 4 of us together.

Our Budget: €2,000 per month (excluding bills). We have our deposits and first month's rent fully prepared.

Location Flexibility: Because our budget is fixed, we do not mind living further out in the outskirts/commuter areas at all, as long as there is a reliable public transport link to the city center or directly to NCI (Dublin 1). We are highly open to areas like Lucan, Tallaght, Clondalkin, Swords, Blanchardstown, or anywhere along the Luas Red Line/major bus corridors.

What we are looking for:

• A full 2 bedroom apartment or house.
• A student lease takeover.

About Us: We are 4 incredibly focused, clean, and responsible postgraduate students. We don't smoke, don't have pets, and will be prioritizing our studies and part-time work. We are ready to provide university acceptance letters, financial proof, and references immediately.

If you are a landlord with a suitable vacancy or know of an upcoming property opening up for the academic year, please drop me a DM! We are happy to jump on a video call to introduce ourselves.

Thanks a mill!

Hey everyone,

Myself and 3 of my friends are moving to Dublin from India in the first week of September to pursue our Master’s in Artificial Intelligence at the National College of Ireland (NCI).

We are looking for a place to accommodate the 4 of us together.

Our Budget: €2,000 per month (excluding bills). We have our deposits and first month's rent fully prepared.

Location Flexibility: Because our budget is fixed, we do not mind living further out in the outskirts/commuter areas at all, as long as there is a reliable public transport link to the city center or directly to NCI (Dublin 1). We are highly open to areas like Lucan, Tallaght, Clondalkin, Swords, Blanchardstown, or anywhere along the Luas Red Line/major bus corridors.

What we are looking for:

• A full 2 bedroom apartment or house.
• A student lease takeover.

About Us: We are 4 incredibly focused, clean, and responsible postgraduate students. We don't smoke, don't have pets, and will be prioritizing our studies and part-time work. We are ready to provide university acceptance letters, financial proof, and references immediately.

If you are a landlord with a suitable vacancy or know of an upcoming property opening up for the academic year, please drop me a DM! We are happy to jump on a video call to introduce ourselves.

Thanks a mill!

Hey everyone,

Myself and 3 of my friends are moving to Dublin from India in the first week of September to pursue our Master’s in Artificial Intelligence at the National College of Ireland (NCI).

We are looking for a place to accommodate the 4 of us together.

Our Budget: €2,000 per month (excluding bills). We have our deposits and first month's rent fully prepared.

Location Flexibility: Because our budget is fixed, we do not mind living further out in the outskirts/commuter areas at all, as long as there is a reliable public transport link to the city center or directly to NCI (Dublin 1). We are highly open to areas like Lucan, Tallaght, Clondalkin, Swords, Blanchardstown, or anywhere along the Luas Red Line/major bus corridors.

What we are looking for:

• A full 2 bedroom apartment or house.
• A student lease takeover.

About Us: We are 4 incredibly focused, clean, and responsible postgraduate students. We don't smoke, don't have pets, and will be prioritizing our studies and part-time work. We are ready to provide university acceptance letters, financial proof, and references immediately.

If you are a landlord with a suitable vacancy or know of an upcoming property opening up for the academic year, please drop me a DM! We are happy to jump on a video call to introduce ourselves.

Thanks a mill!

I've noticed a pattern across projects: generating a PDF starts as a tiny feature and slowly becomes its own service.

First it's:

"Just use Puppeteer"

Then:

• browser crashes
• memory spikes
• font issues
• page breaks
• queues/retries

Curious how people handle this in production.

Do you:

• run Puppeteer/Playwright yourself?
• use a hosted service?
• generate PDFs another way?

What has been the biggest pain point?

After dealing with one too many "PDF service is down on the last day of the month" incidents, I built PDFPipe. It's a simple API: send HTML, get a PDF back. No wkhtmltopdf binary to install, no Chromium container to manage, no memory leaks at 3am.

import { PDFPipe } from 'pdfpipe-node';
const client = new PDFPipe('YOUR_KEY');
const pdf = await client.render({ html: 'Invoice ', options: { format: 'A4' } });

Free tier is 500 docs/month, no card needed you can test against the real production API before committing to anything. Playground at pdfpipe.xyz if you want to try it without even signing up.

Happy to answer any technical questions. What do you currently use for PDF generation?

Why YSK: Most casual users don't generate anywhere near enough text or code to justify a flat $20/month fee. By accessing these models directly through an API, you only pay for the exact compute you use.

If you are paying for ChatGPT Plus, Claude Pro, or Gemini Advanced just to write a few emails, brainstorm ideas, or debug the occasional script, you're paying a massive premium for the user interface, not just the AI itself.

Here is how you can bypass the monthly subscription:

1. Get an API Key: Go to the developer console for OpenAI, Anthropic, or Google, create an account, and load it with $5 in prepaid credits.
2. Use a Free UI: Connect that API key to a free, open-source chat interface (like LibreChat, TypingMind, or AnythingLLM). It looks, feels, and functions almost exactly like the premium apps.
3. Pay Per Token: Instead of a $20 recurring charge, you are charged fractions of a cent per word.

When building AI workflows and routing tasks day-to-day, a massive secret to cutting compute costs is simply swapping models based on the task's complexity. You don't need the heaviest, most expensive flagship model to summarize a document or fix a typo.

Most API frontends allow you to toggle between models on the fly. You can route your simple, everyday tasks to insanely cheap models (like GPT-4o-mini or Claude Haiku) and only select the heavy-hitting, expensive models when you actually need complex problem-solving.

Unless you are generating massive amounts of data every single day, that initial $5 top-up will likely last you months.

The pattern, every time: product needs invoices → someone wraps a headless browser → it works → it becomes infrastructure → it leaks memory at month-end forever.

So I built PDFPipe: https://pdfpipe.xyz

• Playground on the homepage, no signup, real API (10 renders / day free)
• Flat pricing, 500 docs/month free tier
• Renders in an isolated sandbox that refuses private IPs/metadata endpoints (PDF renderers are a classic SSRF hole this one isn't)
• Node/Python SDKs, n8n community node, MCP server for AI agents

Solo dev, Mumbai, no investors. Feedback widget on the site goes straight to me and I ship from it the playground's syntax highlighting exists because the first visitor asked for it.

Roast welcome. Especially interested in what would make you trust a one-person API company with your invoices (genuinely - that's my biggest open question).

Every backend project I’ve worked on eventually needs a PDF generator. And almost every time, it ends up being a brittle, duct-taped solution running a headless browser that devours memory, chokes under load at month-end, and introduces massive SSRF security risks if someone inputs malicious HTML.

I’m currently building a dedicated API service called PDFPipe to handle this exact headache. The goal is simple: you send a POST request with your HTML or a template + JSON data, and you get back a clean, reliable PDF. No managing Chromium instances, no out-of-memory errors, and completely sandboxed against SSRF.

I’m working on this solo and bootstrapping it (hoping to launch a beta this summer). Right now, I'm trying to figure out the absolute best way to structure it for developers.

How are you all handling PDF generation in production right now? What’s the biggest pain point in your current setup is it performance, styling quirks, or something else entirely?

Hey everyone,

I’m an AI developer who recently built a side project called ToolBox (toolbox-kit.com) a collection of 150+ browser-based tools for devs. All processing runs entirely on the client side, and external APIs use a BYOK (bring-your-own-key) model so I can keep it sustainable without burning through API credits.

I’ve had some decent initial traction, but I feel like I’ve plateaued and need some advice on marketing and distribution.

The Current State:

• Traffic: Launched in Feb 2026. Climbed from ~34 daily visitors to about 1,000 monthly organic visitors.
• Revenue: Extremely early days. Made my first $1 on AdSense in mid-April, and got my first Pro subscription sales ($6.20) in mid-May.
• Tech Stack: Next.js 16, React 19, Tailwind 4, exported statically and hosted on Cloudflare Pages. Supabase for auth.
• Tracking & SEO: I’m using Umami for analytics, and monitoring search presence via Bing Webmaster Tools and Google, but my SEO knowledge is basically zero.

The Product:

• 150+ tools in a terminal/sidebar UI.
• Pro paywall includes 11 AI tools (running WebLLM on-device via WebGPU + BYOK).
• Just finished building an MCP server (27 tools) to integrate with AI agents, though it isn't published to npm yet.

My Problem: Since early April, I fell out of "growth mode" and have been stuck on 1000 monthly visitors

Building is easy for me; marketing is hard.

1. For developer-focused tools, what distribution channels actually work without coming off as spammy?
2. Should I focus heavily on SEO for individual tool pages (e.g., "JSON formatter client side"), or is that market too saturated?
3. Has anyone had success leveraging browser extensions or npm packages (like my upcoming MCP server) as lead magnets for the main site?

Would love any brutal feedback on the site or advice on where to focus my energy next. Thanks!

Hey everyone,

I’m an AI developer who recently built a side project called ToolBox (toolbox-kit.com) a collection of 150+ browser-based tools for devs. All processing runs entirely on the client side, and external APIs use a BYOK (bring-your-own-key) model so I can keep it sustainable without burning through API credits.

I’ve had some decent initial traction, but I feel like I’ve plateaued and need some advice on marketing and distribution.

The Current State:

• Traffic: Launched in Feb 2026. Climbed from ~34 daily visitors to about 1,000 monthly organic visitors.
• Revenue: Extremely early days. Made my first $1 on AdSense in mid-April, and got my first Pro subscription sales ($6.20) in mid-May.
• Tracking & SEO: I’m using Umami for analytics, and monitoring search presence via Bing Webmaster Tools and Google, but my SEO knowledge is basically zero.

The Product:

• 150+ tools in a terminal/sidebar UI.
• Pro paywall includes 11 AI tools (running WebLLM on-device via WebGPU + BYOK).
• Just finished building an MCP server (27 tools) to integrate with AI agents, though it isn't published to npm yet.

My Problem: Since early April, I fell out of "growth mode" and havent grown beyond 1000 monthly visitors

Building is easy for me; marketing is hard.

1. For developer-focused tools, what distribution channels actually work without coming off as spammy?
2. Should I focus heavily on SEO for individual tool pages (e.g., "JSON formatter client side"), or is that market too saturated?
3. Has anyone had success leveraging browser extensions or npm packages (like my upcoming MCP server) as lead magnets for the main site?

Would love any brutal feedback on the site or advice on where to focus my energy next. Thanks!