... that the age rating questionnaire now includes questions about social media capabilities, and that "beginning in September 2026, responses will be required when submitting new apps or updates to the App Store, or when submitting apps for notarization for alternative distribution." September ends tomorrow, so if you have a build in flight, this is the week you meet it. Apple's definition is narrow: the ability to redistribute, amplify, or interact with user-generated content through a social feed ... ... similar

... line appears in both: starting September 2026, you're required to indicate whether your app or game includes social media capabilities in order to submit new versions or updates to the App Store, or for notarization for distribution on alternative marketplaces. It's September. It's live. I read both pages this week rather than the coverage, partly because Murror is the kind of app where the answer isn't obvious, and partly because the second-order effects aren ... ... hire it for. Social Media works differently. It's based on capability, regardless of the category you selected. Apple's definition is the ability to redistribute, amplify, or interact with user-generated content through a social feed or similar

... design problem explains zero interest in the thing itself, and solo makers usually spend the design money before they know which one they have. adana, of the products you've seen struggle, how many were actually a polish problem versus nobody wanting it? Comment from Sansa Grey(@sansa_grey): One thing i have learned that users dont care that the UI took you two days to perfect. they care that they found the button they needed in five seconds. Comment ... ... from Nika(@busmark_w_nika): @adana  For now, I am using Reddit to get that feedback :) Comment from Trey Chong(@treychong): @adana  They may look similar

... apps? To help solve this workflow headache for my own launches, I built elov8: it lets you publish once across LinkedIn, X, and Threads, while automatically generating a single "table of contents" page to aggregate all your live posts (similar to a Linktree, but specifically built for posts). If anyone wants to test it out while sharing their workflow, we launched on Product Hunt today: https://www.producthunt.com/prod... Curious to hear how others approach their social distribution stack during ...

... growing. None of it felt unnecessary in the moment each piece solved a real problem I noticed while testing. But looking back, the "simple tool" idea and the finished thing are pretty different. For those who've built something similar: did your project scope creep in a similar

... like with copywriting or design, product concepts are starting to feel homogeneous. It s as if we re all feeding the same prompts to ChatGPT or Claude, resulting in ideas that seem original at first glance, but are terribly similar once you look under the hood. So my question is:  i f building has become so easy, what makes the real difference? Building a loyal base of believers who stick with you regardless of clones? Out-shipping everyone else ... ... with updates and new features? Having the most polished , beautiful product that wins on pure vibes and perception? Creating an interface and UX so frictionless that similar

... goal: if you want raw eyeballs go Tue-Thu, but for a badge/ranking with a modest following a weekend can punch above its weight. Comment from Sabber Ahamed(@sabber_ahamed): @busmark_w_nika   @abdullah_javaid3  the invitation vs favor framing is the most useful line in this whole thread. i caught myself drafting DMs that were basically upvote asks in a nicer outfit. what actually worked was showing up in threads like this one for weeks with nothing ... ... Comment from Kevin Tayong(@kevintayong): I think you already did a great job with this post. 1 month later, 559 comments, 612 upvotes. And people are still viewing it. Your tool came in clutch - I was gonna build a similar

... internal thumbnail resolution so they're sharper even before the CSS fix. Search won't leave you with a blank page anymore if your search returns zero results, it now shows the 3 next-closest items with their similarity scores so you can click directly to them instead of staring at nothing. Search results were showing the wrong scores the merge algorithm was accidentally overwriting the actual similarity

... median points needed to break the top 5 and top 10 on each day. Check the full report here: https://app.databox.com/shared/a... The short version: Saturday is the easiest day. Only 266 median points to crack top 5, vs 360 on Wednesday. That's a 35% harder climb on the worst day vs

... Problem Dropshippers and e-commerce sellers spend hours manually researching competitors checking their ads, estimating revenue, tracking SEO, and collecting winning creatives. It's time-consuming, fragmented, and takes away from actually growing their business. What I'm building Paste your store URL (or a competitor

... shows you your visibility, share of voice, and citation rates across each platform individually . This allows you to see exactly where you win and where you are invisible, with the granularity required to understand each platform's editorial identity. Competitor Intelligence: The platform automatically detects competitors

... product. "You know someone who knows them" is weak signal. The why now + why this path + what to actually ask is what makes it actionable vs. just informational. Sounds like you're building toward the right thing. Upvoted! If you get a chance, would love a look at AI Hive - we're solving a similar

... time posting in p/introduce-yourself. I'm Lisa, co-founder of a cycle tracking app we built in Amsterdam. Wanted to introduce myself and share the harder lessons from the last six months, in case anyone here is wrestling with similar problems. Quick context. In 2021 the FTC fined Flo Health for sharing user period data with Facebook and Google. Millions of women learned, after the fact, that their cycle data when they bled, when they were trying to conceive, when ... ... still has 77 million users. Clue still raised millions. The category just moved on. We couldn't. The question we kept asking was the obvious one: why does cycle tracking have to be ad-funded? So we built the alternative

... study from UNSW Sydney tracked content similarity across 388 keywords in 2019 and again in 2024. Content has become significantly more homogeneous. AI-generated pages now dominate the top rankings, but they all look and sound alike "If the humans are not involved anymore, what does this mean for the industry in the future?" asked Professor Thomas Reutterer, who led the research. A Graphite/Common Crawl analysis found that 86% of articles ranking high on Google Search are human-written ... ... about adding the things AI cannot generate. Real examples. Hard-earned insights. A point of view that is not just a remix of the top 10 results. What I am curious about Have you noticed your content becoming more similar

... both content and   product work.   2. Google Search Console I basically live in it. For anything SEO, it's the only honest source of truth   about what's actually happening vs. what I assume is happening.   3. Ahrefs keyword and competitor

... writes faster. AI analyzes data. AI can even mimic your brand voice. But AI also makes everything sound the same. It pulls from the same top 10 results. It rephrases the same arguments. It optimizes for similarity, not distinctiveness. Here is what the research says. The similarity

... doorbell. It rings the same whether it's a package or a fire. That's basically the gap Pushary fills, same hook idea you've already wired, but the event carries a real handoff (done vs blocked vs

... structures. Different wording. Different ways of presenting projects. Different positioning. I wanted to understand whether systems interpreted candidates differently depending on how information was communicated. And eventually I noticed something that felt almost unfair. Two people could have very similar skills. Very similar

... right film for a specific mood without making the user do an hour of curation. So I tried the inverse. Hand-build a semantic taxonomy of film moods, classify the entire corpus against it, match user queries via cosine similarity. No collaborative filter, no training set, no user data. The stack Next.js / Vercel, stateless PWA. No native app. 75-register mood taxonomy I hand-curated over months. Each one has an editorial definition + canonical exemplar films. Stuff like warm ... ... neon nights, anxious dread, intellectual puzzle, melancholy beauty. Defining "wistful" vs

... experiment for my startup, @Pretty Prompt : Remove the monthly tier; offer only Free or Yearly (basically no monthly plan available). We decided to do this after doing some simple maths and seeing that 42% of users today choose annual vs our monthly plan. So what if I can take out the monthly option entirely? Has anyone here done something similar

... spec Resolve ambiguity via multi-agent debate Train a task-specific small model (SLM) on that data Paper: https://huggingface.co/papers/26... What we re seeing: SLMs outperform GPT-5 on boundary decisions More consistent (less flip-flopping on similar inputs) Fast enough for real-time, per-interaction evaluation This leads to a different stack: GPT-5 generation SLMs evaluation + guardrails Curious if others are seeing similar

... contradictory. 1) When we re so flooded with AI-generated content, do you have any methods to recognise it? For example, I keep noticing the same patterns: long dashes, phrases like It s not X, it s Y, and similar structures. 2) But what about beyond text, like images or video? Comment from Stoyan Minchev(@stoyan_minchev): @busmark_w_nika  I don't know why it is like that. In other places, the moment they smell AI content ... ... balanced paragraph structure where every point gets equal weight. Humans ramble, go off on tangents, then circle back. That messiness is actually what makes it feel real. Do you think so? Comment from Josh H(@joshua_herrera): On a similar

... massive datasets, they can be expensive, complex to query, and act as complete black boxes. If a search returns a weird chunk, diagnosing it is often a nightmare. Lately, I've been experimenting with a dead-simple alternative for smaller projects, and I'd love to know if anyone else is doing this: Dump raw data into a local folder. Use a strict markdown schema (like a CLAUDE.md or similar

... thought we knew We assumed enterprise customers wanted the same things as our small business users, just more of it. More security. More control. More features. We never talked to them. We read blog posts. We looked at competitor pricing pages. We guessed. Here's what we missed: Procurement cycles. Enterprise deals take 6-12 months. We had 30-day sales cycles. We weren't built for that. Security reviews. We needed SOC2. We didn't have it. Customers asked ... ... have? How much did it cost you? What did you learn? Imed Radhouani Founder & CTO Rankfender Evidence over ego. Retention over requests. Comment from Imed Radhouani(@imed_radhouani): @absheikh  Thanks for this!! The "customer you want vs

... months ago, we ran an experiment with our own data. At Rankfender, we tracked 5 of our own competitors across 8 AI systems. We log their share of voice, citation velocity, content gaps, platform variance. Months of raw numbers sitting in a dashboard. I pulled 6 months of data and fed it into Claude. One question: "Based on this, who is most likely to overtake us in the next 6 months? Show your work. Use the data. Don't summarize ... ... Give me the numbers." The answer changed how I think about competition. The dataset: 5 competitors