When I search for my app s exact name in the App Store, it automatically shows results for a different, similar-looking word.

My app only appears after I tap Search instead for and confirm the original name. The name is spelled correctly in the listing.

I ve found a few developers reporting the same issue, but haven t found a clear fix.

Has anyone managed to resolve this without renaming their app? Did contacting Apple or changing the metadata help, or did it eventually stop on its own?

I ve been thinking a lot about how chaotic the first phase of any project is especially for early-stage founders.

You get the idea, you get excited and then you freeze.

• Do you validate?

• Do you sketch out a landing page?

• Do you research competitors?

• Or just build something to get feedback?

Personally, I ve been experimenting with different ways to make that early direction clearer I ve journaled, built mini systems, even started working on a validation tool with a few people to help test ideas faster.

LLM as judge has quietly become the default way people check agent output, and almost nobody states which model is doing the judging. In most setups it is the same one that produced the answer, or a sibling from the same family. That arrangement fails in a specific and predictable way. The judge does not catch the hallucination because it finds the same thing plausible, for the same reasons, out of the same training. You have not added a check. You have asked the same mind twice and written down that it agreed with itself. Errors that are correlated between producer and judge are exactly the errors that survive, and they are also the ones you most need caught, because a plausible wrong answer is the only kind that ships. There is a second version of this that shows up inside agent loops. A builder agent grading its own work grades against its own model of what "done" means, which is the same model that generated the work, so it cannot see the gap by construction. And the moment your tester can read the builder's own claim of success, it anchors on it. Two things that seem to hold. Run the judge on a different model family than the producer, even when the judge is the weaker model, because independence beats capability for that job. And give the judge the artifact and the original spec only. No producer reasoning, no summary, no "I have verified this works". The reason people do not do this is cost and latency, and those are real. But a judge that agrees with the producer for free is not cheaper than no judge. It is more expensive, because it manufactures confidence you did not have before. What is your judge running on, and did you pick it on purpose?

I just pushed my first major SaaS project live, and the relief is real.

For me, the hardest part wasn't the UI it was getting the backend logic to seamlessly generate perfect PDF documents on the fly without lagging the browser.

For the experienced technical founders here: what was the one bug or architectural choice that kept you up at night when building your first app?

The news dropped yesterday: OpenAI is shutting down Sora, their AI video app, six months after launch. The Disney $1B deal is off, and the API is going away, too.

The arc is fascinating if you zoom out. The app launched in September 2025, hit the top of the App Store within a day, and reached 1M downloads faster than ChatGPT did. By January, downloads had dropped 45%, and the whole thing had made roughly $2.1M in in-app purchases over its lifetime.

Anyone can build a demo now. With Lovable or Cursor you go from idea to working prototype in a couple of days. That part genuinely got easier.

What didn't get easier is everything after.

The demo becomes ten features. The features become tickets. The tickets create dependencies. Requirements change. Priorities shift. Some work isn't ready to start. Some is blocked on a decision nobody made. And some keeps moving long after the assumption behind it stopped being true.

Then someone asks the question nobody has a clean answer to: are we shipping the right thing, or just producing more work?