I'm Kaavya and I've been deep in GEO (generative engine optimization) for a while now, and the more I dug in, the more I realized most brands and creators have no idea if their content is even showing up in AI search. not because they're doing bad work, but because no one's told them what "good" looks like in this new world.
Sovereign Voice is a Mac app that runs AI text-to-speech entirely on your machine. No cloud, no API keys, no per-character billing. The Qwen3-TTS model runs via MLX on your Apple Silicon GPU.
Most analytics products are designed to always return a number. For AI-search visibility, I think a trustworthy product needs the opposite safeguard: the ability to withhold a score when the underlying evidence is not decision-grade.
At Corank, I am testing five publication gates:
1. Traceability every chart point must lead back to the exact prompt, raw model answer, citations, timestamp, collection status, and methodology version.
2. Denominator integrity failed and excluded runs must remain visible. A timeout cannot silently become brand absent, and an ineligible observation cannot quietly disappear.
I recently launched Clocks & Alarms Online, a lightweight, fully free time management suite. Instead of just a standard clock, I packed a bunch of utilities into one place:
World Clock & DST Tracker
Stopwatch & Precision Timers (plus an Egg Timer!)
Custom Alarms & Meeting Planner
Holiday Countdown
Shared Alarm (sync alarms across remote devices in real-time via WebSockets with no logins)
I m trying to figure out which feature provides the most organic "sharing value."
Starting the week with a clear focus: helping remote and field teams simplify attendance, payroll, and workforce operations.
We re building Trackly and opening our B2B referral program to HR consultants, payroll firms, IT providers, agencies, and BPOs.
The model is simple: refer Trackly to a business. If the referral becomes a paying customer, the partner earns 20% recurring commission every month for as long as that customer remains with Trackly.
For founders who have built a partner-led growth channel, what helped you attract committed partners early: recurring commission, partner enablement, co-selling, or something else?
Over the past several months, I've been building ToolsRoot, a platform with 70+ browser-based tools for PDFs, images, documents, audio, video, and archives.
The biggest surprise wasn't the engineering it was discovering how many everyday file workflows are still surprisingly frustrating.
People often have to:
Visit multiple websites for different file types.
Wait for uploads before anything happens.
Create accounts just to complete a simple task.
Worry about where their files are stored afterward.
Just launched a little tool I've been using internally to convert invoices into CSV for SEO reporting. It's been a huge time-saver for tracking marketing spend across clients. Would love for you to check it out and share your thoughts!
I've been exploring a question: Why is automation still so difficult for non-developers? Traditional automation tools are powerful, but building a workflow often requires manually finding every button, selector, condition, and exception. I built Runavelo to experiment with a different approach: Instead of manually creating every step, you describe the goal: "Open a website, search for products, collect prices and ratings, and save the results to Excel." AI analyzes the interface and creates a visual workflow: Open Browser Input Search Click Extract Data Loop Pages Export Results The workflow is not a black box. You can still edit every node, add conditions, change parameters, and ask AI to improve it. When something fails, AI analyzes execution logs and helps identify the problem. I'm curious: Do you think AI-generated workflows will replace traditional automation builders? Or will AI simply become another layer on top of existing tools?
