been building in public for a while and noticed i never post much about what i ship
which is crazy in retrospect, because content is the best distribution... but just by the time i'm done for the day i'm completely checked out from content mode
Today's internet is built for humans. Marketplaces are filled with CAPTCHAs, complex UI navigation, and authentication tokens that block autonomous systems. While AI agents are getting smarter, they still cannot easily find, negotiate, or post marketing services programmatically.
Zero UI Friction: Built on the principle of minimal friction and maximal machine readability. Your bots interact exclusively via clean API endpoints (`/api/post`, `/api/latest`, `/api/search`). This will reduce AI costs and increase productivity.
It's a proven fact that none of the AI systems breaks overnight; They decay. They fade, shift, and degrade quietly. Stanford found GPT-4 accuracy on basic reasoning tasks dropped 97.6% -> 2.4% between March and June:
https://arxiv.org/abs/2307.09009 variA/Bly has evaluated across 10+ workflows, and the same pattern appears: Accuracy drifts (almost 15 40%), prompts regress, RAG relevance drops, and costs fluctuate (20 50%). The real truth: The fact is that AI systems are inherently indeterministic, and hence the drift is natural. The real business risk is that most of the business owners aren t measuring it. Recently, we launched a 30-day "AI Drift & Accuracy Pilot" to help teams see how their workflows change week to week. If you want your drift map, happy to share.
I built Data Transmission over a Wide Area Network in 2017, capable of transferring terabytes of data within seconds using data packets without cable, device, or the internet. Lost the source code over time, as I didn't know what difference it would have made in the lives of people.
From 2018 to 2026, fast-forward, I've built an Ed-tech platform WHYGate, an AI-copilot for workspace bookings, and many more. We launched it, but didn't see the traction as expected.
Went back to my data knowledge, to launch @OrangeLabs (https://orangelabs.im/) in the era of AI and no-code platforms, allowing founders, analysts, and researchers to work on their data without writing a single line of code. Work with Excel, Spreadsheets, and CSVs without working with rows, columns, and formulas. Build visuals on complex data to understand complex information using plain English. We're launching @OrangeLabs on 12 March 2026. This is our first-ever launch on Product Hunt and my first-ever interaction with a Product Hunt Community. Looking forward to the support of the Product Hunt community. See you soon.
I m the maker behind judgedata.us.kg. As a developer/competitive programmer, I ve always found that the most tedious part of building a project or preparing for a contest isn't coding the logic it's creating high-quality, edge-case-heavy test data.
Hi Everyone, Tomorrow's the day. OrangeLabs goes live on Product Hunt on March 12th.
Quick recap of what we've built for anyone just tuning in:
A no-code AI platform where you talk to your data in plain English Ask it to clean messy spreadsheets, build interactive charts, or pull insights from PDFs No SQL. No Python. No dashboards. Just ask.
We've been heads-down building this for months. Tomorrow we hand it over to you. So, please be kind.
Ever renamed a property in your code only to have bugs pop up after deployment? I found a battle-tested trick to catch these mistakes at compile-time with zero runtime cost. Introducing validatePath a clever helper that forces your compiler to verify property names exist in your objects, even nested ones. Say goodbye to typo-driven bugs and hello to safer, cleaner code.
Curious how it works? Learn how TypeScript template-literal types and mapped types combine to give you autocompletion and compile-time safety for object paths. Get real coding examples from user profiles to e-commerce orders and analytics configs.
