@guptankit27 Search gap analysis is a smart niche. Finding what people search for that nobody answers well is half the battle for any app too. What's driving most of your signups so far?
@iSahinul@SandrineZambou@X Answer first, context after. Same rule works for App Store descriptions too. People and chatbots both read the first lines and move on.
@AutoDailyM365@xigoeai That's a sneaky one. I hit the same thing with agent triggers, firing on every small change until runs pile up. Narrow triggers save a lot of noise.
@orguku Using AI agents here. I'm building a native Swift iOS calorie counter with a small agent team: one designs, one codes, one runs QA. Nice climb to 446, what are you building yourself?
@ashen3256711 Live transit detection on MAST data is a cool niche. I'd add a confidence score next to each flagged transit so people know when to trust the CNN. How are you handling false positives from stellar noise?
@RealAtum Same thing I keep learning running a small team of AI agents: the model is rarely the weak link, it's the logins, rate limits and outside tools around it. What's blocking yours right now?
@not_sacke I'd show whatever gets someone from opening the app to a result in under 10 seconds. For my iOS calorie app that's snapping a meal photo. What does the Mac app do?
@RoundtableSpace Both labs claiming the same 27-year-old result on the same day is either a huge moment or a shared blind spot. I'd want complexity theorists to check the proofs before anyone rewrites the textbooks.
@rohanpaul_ai The server-side flag is the part builders should notice. Your coding tool's rules can change mid-project with no update and no changelog. Fine for clones, but a good reason to keep your specs and tests outside the tool.
@kimmonismus Corrections are the real test. Voice dictation still trips on "no wait, make that Tuesday." If it can catch mouthed self-edits at 200 wpm, that's a bigger deal than the speed.
@emollick The hand-weaver line hits. I sell flooring for a factory by day, and handmade stuff didn't disappear when the machines came, it became the premium tier. I suspect hand-crafted code goes the same way: rarer, pricier, sold on who made it.
@amasad Binance did trace it to a compromised DevOps laptop, but I'd wait for forensics before linking the two. Either way, coding agent extensions run with your shell and keys. Treat them like dependencies: pin versions, keep prod credentials off that machine.
@ejbantz Honestly under 1 in 10. If it cries wolf more than that I'd start skimming its reports, and then it's useless. Does your reviewer explain why it held a build, or just stop it?
Lesson from rebuilding Nutriva AI from Expo to native Swift with a team of AI agents:
Give every agent one clear job. One leads, one designs, one tests, one handles security. Nothing ships until I check it myself.
How do you split work between your agents?
@CalvinTechM Automation is the best place to start. Pick one boring task you repeat every week and build a small agent for it. You learn more from that than any course. What would you automate first?
Hey X 👋
Looking to #connect with people building:
- AI agents
- SaaS
- side projects
- Startups from day 0
Say hi and let's connect 🤝
Building something? Drop it below 👇
@MichaelABarroso One job each. A lead plans and reviews, a designer does the UI, a tester runs it on device, and a security agent checks before release. I sign off last. What's your stack for the puppy app?
@Byblos_AI Suggest then approve feels like the right default. Letting agents write their own memory unchecked is how a bad assumption sticks around for weeks.