Neelanchal here, we've officially launched @OrangeLabs today, and I couldn't be more excited to share it with this community.
For those just discovering us: @OrangeLabs lets you talk to your data in plain English. Clean messy spreadsheets, build interactive charts, pull insights from PDFs, no SQL, no Python, no analyst needed. Just ask.
We've spent the last week sharing our story here, and the response has been incredibly humbling. Today, we finally get to show you what we've built.
I m Enes, a solo developer, and I m currently building CrunchSave. I m tackling a problem that every SaaS founder hates but often ignores: Passive Churn (Failed Payments).
Most tools out there just send the same boring "Update your card" emails. I m building something different. CrunchSave uses AI Policies to personalize the recovery flow based on customer LTV and the specific reason the payment failed.
Yesterday I shared data from 50,000+ AI answers. Today I'm giving you the exact audit process we use at Rankfender the same one we've run for 500+ brands.
Here's the hard truth: 78% of brands are completely invisible in AI answers. They spend thousands on SEO but never check if ChatGPT, Google SGE, or Perplexity actually mention them.
Don't be one of them.
This 30-minute audit will show you exactly where you stand and exactly what to do next.
The UK's productivity culture is built on caffeine. But almost nobody understands how it actually works. We know caffeine blocks adenosine. We know it has a half-life. But we don't track when we drink it. We don't see how much is still active at bedtime. We don't connect poor sleep to yesterday's 4pm coffee. The result? A culture of perpetual fatigue, masked by more caffeine, creating worse sleep, requiring even more caffeine. It's a loop. And it's invisible. Clarity exists to break that loop not by drinking less, but by drinking deliberately. We're building a tool to change the UK's relationship with caffeine. Because timing matters more than quantity. And awareness is the first step to control.
I built AnyToolSpace to provide simple browser-based tools for common image tasks. You can resize images, crop photos, compress files to specific sizes like 30KB or 100KB, convert images to different formats, pick colors from images, and even convert images to PDF.
All tools work directly in the browser and are free to use.
A lot of people I come across who are considering agents worry about the stochastic nature of LLMs. They don't want to trust them with complex tasks that require several steps because they might miss one or get it wrong. They worry that the agent will go off topic, access apps or generally do things they shouldn't. Even worse for regulated industries, you need to produce evidence of how you comply with different laws. Humans leave a natural audit trail of SOPs they follow, tasks they complete etc. so you can easily work with an auditor but what do you do when it's AI doing the work?
At Portia AI, we built an open source SDK from the ground up to address this challenge and we'd love to know if you think it meets the need and if there's something we can learn from others in this space. Agents built with Portia plan transparently, execute statefully, can be interrupted for human input and auth deterministically.
Let me know what you think if you have a moment? Your feedback would be super helpful
