We built @QApilot MCP after hearing from developers who wanted a way to test their Android apps before merging code. It let's Claude, Cursor or Codex interact with an Android app and run test flows from plain English. We'd genuinely lobe to hear from other developers here... What part of mobile testing do you still find hardest to automate? We are starting with Android and this launch is a big opportunity for us to learn from the community.
Have you ever wondered why we still rely on resumes for hiring, even though research shows they aren't the best predictor of job performance? I've spent my career in casting and matchmaking, which are all about finding and reading talented people. When I started exploring hiring, I expected a more thorough process. Instead, I noticed the industry mainly depends on keyword matching and job titles, despite decades of proof that behavioral and values-based assessments predict success and retention much better. I'm really curious to hear your thoughts: Is it just tradition? Do resumes seem more legally solid than structured interviews? Is it because they re quick to scan at scale, even if they don t say much? Or maybe we just haven t yet developed the tools to do it differently on a large scale? I've been working on Rh yo, a SaaS platform that scores candidates and roles based on fit and values rather than keywords and titles. I don't think resumes will disappear overnight, but I'd love to know what it would take to change the way we do things.
Short version: most WordPress owners still optimize for Google, while ChatGPT / Claude / Gemini / Perplexity (and agents) are already crawling and summarizing the web. Almost nobody can answer a simple question:
Which AI bots hit my site and can they actually understand the important pages?
This isn't about marketing budgets or viral TikTok videos. It definitely isn't about screaming AI, because lets face it, no product is releasing without atleast one AI feature.
It's about one thing: positioning clarity. We are learning this the hard way building Toward.One
Last November, my wife and I visited Prague - it was my first time there. I wanted to see all the must-visit spots and experience the classic highlights.
I opened ChatGPT and asked it to build an itinerary based on places near me. It worked surprisingly well, and I found myself constantly switching between ChatGPT and Google Maps throughout the trip.
But as the days went by, something felt inefficient. I kept scrolling through the itinerary, asking to rearrange stops, adjusting plans because it was raining or because we were tired, and double-checking opening hours and directions. ChatGPT was helpful - but it didn t feel seamless. I kept thinking: this should be much easier.
People with overflowing watchlists who still don't know what to watch tonight. Cinephiles who've outgrown "Top 10 Crime Movies." Anyone who wants to find a film by mood, not by genre or popularity. Think "warm hug after a long week" or "neon-soaked stylized action" or "rain-soaked melancholy."
The problem
Recommendation engines mostly run on collaborative filtering. Netflix, Prime, the whole streaming layer. Same 200 films surface for everyone. A 120-year catalog of cinema never gets touched.
9 months ago I posted a keto recipe app here. Nobody remembers it but that's fine. I barely remember it too. But it taught me what I actually wanted to build so I did.
GenieChef solves one very specific problem: what the hell to cook tonight. You open the fridge, stare at it for 3 minutes, close it, and order pizza. We've all been there.
Now you just tell the app what's in there and get a real recipe in about a minute. With a photo. In your language. From ingredients you already have. Or don't just open the app and hit a button.
I started building EnvisionWorth because most financial tools could show me my accounts or track goals passively, but they could not explain how everything should work together.
Most of us are saving for several things at once. A home, wedding, travel, education, and retirement may all depend on the same income and investments.
