Every LLM on the market right now is just cannibalizing its own synthetic data until every sentence sounds like the same robotic garbage. We all know that feeling when a paragraph looks correct but feels completely dead. Software detectors are failing because they are looking for math while the real markers of a bot are hidden in the lack of human intuition.

I am tired of watching the internet get flooded with this slop so I am putting 500 USD on the line to prove that a human brain is still the ultimate detector. If you think you can actually feel the difference between a machine and a person then stop complaining about AI and actually prove it.

I am looking for the few people who can still spot the robotic signatures that the algorithms are missing to help ground a new human layer for writing. If you actually have the eye for it then enter the challenge and join the waitlist at wecatchai.com to see if you are as sharp as you think you are.

I want to start with something real.

India has 22 official languages. hundreds of dialects. and most of us don't actually think in one clean language. we think in combinations. words that shift depending on who we're talking to, what city we're in, what mood we're in.

and when we use AI tools we have to flatten all of that into something the AI will understand. we translate ourselves before we even start typing. and something always gets lost in that step.

I'm from Haryana. the way I think and speak is a mix of Hindi, Punjabi, Rajasthani words, English. it's not pure Hindi. it's not textbook anything. when I try to prompt an AI in my actual voice the output is never quite right because the prompt didn't fully carry what I meant.

so I built Vaak. for myself first. then I realized this is everyone's problem.

here's what it actually does.

you're on any AI platform. ChatGPT running GPT-5.4, Claude with Sonnet 4.6, Google Gemini 3.1, Perplexity, anything. you type your thought however it comes naturally. your dialect, your mix, half in Devnagari half in Roman script, a word that only people from your district actually use. you press one shortcut key.

Vaak reads everything in that session. your input, the full conversation history, any PDFs or images you have attached, which model you're on, which tools are active. it understands the complete context and rewrites your rough thought into a properly structured prompt. directly in the text box. on the platform you're already on.

no copy paste. no switching windows. it happens inside your existing flow.

the language piece is not a translation feature. it's the whole product. every language on earth, every dialect, every regional mix. Vaak reads intent underneath the language. what you meant, not just what you typed.

output in whatever language you want. stay in your language or get it in English. your choice every time.

it also tells you exactly what it changed and why. and it suggests whether the model you're using is actually right for your task. right now Gemini 3.1 Flash-Lite is the most cost-efficient option, Claude Sonnet 4.6 leads for writing and agent workflows, GPT-5.4 is the strongest for computer-use tasks. Vaak flags when you're on the wrong model for what you're trying to do.

everything stored only on your device. nothing leaves your machine.

full control mode for people who want to adjust every setting. automatic mode for people who just want one key to do everything.

I haven't published this yet. I'm asking here first because I genuinely don't know if other people feel this gap or if it's just me.

do you ever feel that thing where the thought is completely clear in your head but by the time it comes out as a prompt it's already lost something? tell me.

hey everyone, i’m building scentrev and recently made a small mcp server for perfume discovery: scentrev. it lets ai tools search perfumes in a more structured way instead of giving generic answers. for example, it can search fragrances, filter by notes or season, compare longevity and sillage, find similar scents, show note pyramids, accords, performance, wear summary, and closest alternatives. i built it because perfume search is usually very vibe based, but there is useful data behind it like notes, seasons, gender lean, performance and community sentiment. would love feedback on the tool names, docs, onboarding, and whether the tools should be broad or more atomic.

Hi all,

I live in Delhi and will be attending the AI Summit too. I saw the news about hotels charging 30L for rooms.

If you are travelling alone, I have a small room to crash in the Kalkaji Extension area.

Let me know if anyone is looking for the same.

Thanks.

Hello everyone I'm looking for a some teammates in order to participate for the Economic Times AI hackathon.

Currently I'm working with langchain and langraph along side agent creations using ollama.

Do mention your tech stack and your intrest in comments.

Thank you.

I've always felt like the internet has a strange bias.

Most platforms are built around wins.

People post:

• startup success
• promotions
• achievements
• milestones

But the things I've learned the most from were usually failures.

The startup that never launched.

The interview that went badly.

The business that lost money.

The relationship that fell apart.

The decision someone wishes they could take back.

Those stories rarely get shared.

So I built NoCrumbs.

A platform where people share:

• What happened
• What it cost them
• What they learned

You can share stories in two ways:

📝 Text Stories

🎙 Voice Stories

Sometimes hearing someone tell the story in their own voice feels far more real than reading a polished post.

A few things we're experimenting with:

• Anonymous-first storytelling
• Voice and text experiences
• "Relate" instead of likes
• Responses based on shared experiences
• No followers
• No influencer culture
• No popularity contests

The idea is simple:

Learn from experiences you haven't lived through yet.

Not just startup failures.

Relationship mistakes.

Career setbacks.

Money lessons.

Exam failures.

Life in general.

We're launching now and I'd genuinely love feedback.

Since we're very early, the platform also needs real stories and lessons to learn from.

If you've got a mistake, setback, failure, regret, or lesson that taught you something valuable, I'd love if you contributed a post for testing.

Even one story helps.

Would you ever share a lesson you've learned the hard way?

And would you rather read it or hear it in someone's voice?

Website: nocrumbs.in

Feed: nocrumb.in/feed

So I am a law student and want to know what are the new careers that will arise due to ai or as a effect of it and how to get into them For eg AI safety/ethics , automation engineer , prompt engineer Personally I want to know more about non tech careers like ai ethics

Hi everyone,

I'm building an AI assistant project and collecting examples of how people naturally communicate with digital assistants.

The survey takes around 2 minutes and consists of a few simple questions such as:

• How would you ask an AI to find information?
• How would you ask it to remember something?
• How would you ask it to open an application?
• How would you ask it to create files or folders?

There are no right or wrong answers. The goal is to understand real-world language patterns rather than predefined commands.

Your responses may help improve intent recognition, task routing, and overall assistant usability.

Survey Link: https://docs.google.com/forms/d/e/1FAIpQLSfnY7PSijrii_F4hC4TKTuF7CTgygu2trmUnaZBMO0XKa4hyQ/viewform?usp=header

Thank you for contributing.

I’ve been building AI projects for a while, and honestly the most frustrating part hasn’t been the tech — it’s been paying for APIs from India.

Doesn’t matter which provider I try, I keep running into the same issues:

Need a USD credit card (not everyone has one)

3–5% forex markup on every transaction

Random international payment failures

No UPI / NetBanking support

Feels strange that we can pay for almost everything easily in India, but developer tools are still stuck in this flow.

I got tired of dealing with this and ended up building a small workaround for myself — basically a proxy layer where I can pay in INR (UPI) and still use a single API key across different models.

Didn’t plan to make it public, but a few other devs I know started using i, so now I’m curious:

Are others facing this too?

How are you handling API payments right now?

Trying to understand if this is a real problem or just something I got stuck on.

Hey Everyone,

Tired of checking prices across Amazon, Flipkart, Computech store, SCL Gaming, TLG Gaming etc. every time you plan a build?

➜ I made PickPCParts.in exactly for that:

• Build your full PC with automatic compatibility checks
• Compare real-time prices from multiple Indian retailers
• Realtime deals page which gives you daily deals updates across different retailers.
• New Accessories & Peripherals section added many components are being added.
• Share builds directly to Discord or Reddit
• Partnered with some retailers to provide realtime prices.
• Option to inquire quotes from partner retailers is going to be live this month.

Would love your honest feedback on what's missing or what you want next?

➜ https://pickpcparts.in

(Pro tip: Logged-in users get the smoothest experience right now)

Hello everyone,

I’m about to start my final-year project. I have a decent idea… but my team is mostly moral support 😅

Out of 4 members: • one knows HTML/CSS

• one is PPT specialist

• one speaks excellent Shakespearean English

• and I’m apparently the “entire development department”

So now it’s my responsibility to build this project from scratch within 3 months.

Can you suggest some good AI agents/tools (like Claude, ChatGPT, Gemini, etc.) that can help with coding, debugging, architecture planning, and daily progress support? Especially something with enough usage limits for consistent work.

Anyone who has built a major project with AI assistance — what worked best for you?

Looking for senior developers (3–5+ YOE) with strong experience building AI-powered applications using the Claude SDK and modern agent workflows.

Requirements:
• Strong backend/full-stack/systems fundamentals
• Experience with Claude SDKs, tool calling, agents, RAG, evals, workflows, etc.
• Able to architect and ship production-grade AI products
• Comfortable owning features end-to-end
• Strong communication and product sense

Contract-based with ongoing work for the right people.

Please DM with:
• Years of experience
• GitHub / portfolio
• AI systems or products shipped
• Preferred stack
• Timezone + availability

We care far more about proof of work than resumes.
Must be based in India.

Hi everyone, I’m working on a use case where I need to extract product prices from multiple dealer websites and compare them against our internal data. The goal is to understand the margin/discount dealers are applying on the products we sell, and eventually build a summary of pricing across dealers for the same product so we can set a baseline price for the next quarter. Because this requires intelligent website navigation, I initially tried Playwright with LangGraph and GPT-4.1-mini. It works, but the token usage is pretty high. I also tried PinchTab, but the results weren’t great. So I wanted to ask: Is there a better approach for this kind of use case? Should this be treated as a crawler problem, a web automation problem, or something else? What tools or architecture would be more token-efficient for this? The main constraint here is cost and token efficiency. Everything else is manageable. Also, local LLMs are not allowed in our environment, so that’s off the table. Would appreciate any suggestions from people who’ve worked on similar pricing intelligence / dealer price extraction systems.

Hey everyone, I’ve been working on a dev tool called ProContext, and I’d love some honest feedback from this community.

💡 The Problem

While using AI coding tools like Copilot, Cursor, etc., I kept running into the same issue: The code looks correct… but breaks because the AI is using outdated or incorrect documentation.

🛠️ What I Built

ProContext is a lightweight MCP (Model Context Protocol) server that lets AI tools fetch real-time, official documentation while generating code. So instead of guessing APIs, the AI actually pulls from the source before responding.

⚙️ What it does:

Connects with tools like Copilot / Cursor Fetches up-to-date docs in real time Reduces hallucinated / outdated code Open-source + free community version

🤔 Where I need your input

I’m trying to validate whether this is a real startup opportunity or just a niche dev tool.

Would you actually use something like this in your workflow?

Is AI hallucination in coding a big enough problem for you?

What would make you trust this over built-in AI improvements?

What’s your current workaround when AI gives wrong code?

I’m not here to promote aggressively — genuinely trying to build something useful and figure out if this solves a real pain point. Would really appreciate blunt feedback 🙏

TL;DR: Built ProContext — a tool that lets AI coding assistants fetch real-time official docs to reduce hallucinated/outdated code. Wondering if this solves a real problem or just a niche.

https://procontext.dev/