... what the actual job entails. Developers have noticed. Only 12% of developers use LinkedIn as their main source of technical information, according to a Stack Overflow survey. Most are on the platform purely because they feel they have no alternative, not because they find it genuinely useful. The Fake

... though that people were talking about their experience with paid features but we hadn't had a single subscriber. Now I have checked the logs and not a single person has even tested the product. Does this platform write fake responses to make you think you are receiving interaction? Comment from ankita singh(@ankita_singh27): This is very strange ...

... product was this - R1 - recruiter1.io - ended on #238 - 12 upvotes. Now the good part - all these are FAKE - none of these people created any account or actually tested anything - all is FAKE

... specs together, and we factor pack size and quantity directly. So a rename alone will not fool the score, and two listings with different quantities will not get called a true match even if everything else lines up. The fake-sale flag works the same way, baselining against 90 days of real price history instead of whatever label the listing is wearing today. A few of you also asked how seller credibility gets verified. A brand-new or overnight shop ... ... that harder to game, that door is wide open. What is next Much of this is getting shaped today in real time: Review authenticity scoring, so you can see which reviews are actually real. A weekly digest of the fake

... handling it, but we know there isn t just one right answer. I really want to know how other builders and founders here are tackling this. What kind of document hallucinations are driving you crazy the most? Fake numbers: Making up metrics in financial statements? Connecting wrong dots: Stitching two unrelated facts together to create a fake

... start with one I've often debated: "urgency". As in, fake countdown timers, or saying "you have 1 spot left" when there are infinite spots available. The annoying part is that they work. Conversion rates go up by a few percentage points. So saying no isn't some clever long-game arbitrage where I secretly win in the end. It's just leaving money on the table because it makes me feel gross. My rule of thumb has always been ... ... little manufactured, or onboarding flows that nudged harder than they needed to. The slope is real and I'm not standing as cleanly above it as I'd ideally like to be. And there's a genuine cost. Competitors

... community! I built PostMock a free tool to generate realistic fake screenshots of iMessage, WhatsApp, Discord, Twitter/X DMs, Instagram DMs, Tinder, and more. No watermark No signup required Download clean PNG instantly Works on mobile & desktop Perfect for content creators making TikTok "texting stories", meme makers, storytellers, and anyone who needs realistic-looking mock conversations. We're launching on Product Hunt on June 22nd would love your support! https://postmock.com Would love feedback from the PH community what platforms/features ...

... same scaffolding from scratch. ShipStreak (also mine) - keeps shipping cadence visible when everything else is chaos. Simple accountability, hard to fake. Honorable mention: Priora for blind feature ranking before I write a single line of code. Saved me from more than one overbuilt MVP. Curious how many people have tool I built for myself in their top 5 vs

... www.producthunt.com/p/producthun... Comment from Anuj(@getosmo): The antidote to slop is specificity. AI-generated promo is generic by default - it averages everything into the same smooth nothing. What cuts through now is the stuff a model can't fake on its own: a real number, a weirdly specific anecdote, an actual demo of the thing working, a strong opinion you'd defend. I scroll past 20 polished AI carousels and stop dead on one shaky screen-recording of a real ... ... small specific detail they could only get from us. I see the exact same thing now on the recruiting side: the signal that actually matters is usually the messy, hyper-specific one that no model can fake

... Most gig platforms still force customers to gamble on strangers. Fake reviews. Fake

... coming up. nobody trusts their pipeline anymor Application volumes have doubled since 2021. Cheating on technical assessments doubled in just six months last year, from 15% to 35% of candidates. One in three hiring managers has personally caught a fake identity in an interview. @Anthropic had to rewrite their interview questions after so many people cheated during the interview with Claude. The screening tools most teams are using were built before any of this was happening. They're trying ... ... detect 2026 problems with a 2019 architecture. So I'm genuinely curious how teams are adapting in practice. Are you still trusting the signal from your current ATS and screening flow? Have you caught a fake

... product within the posts/comments. It s a tactic, sure, but to me it already feels like it crosses an ethical line. I sometimes worry they can seriously damage a company s reputation. There are also other practices, such as: Fake purchase counters on websites Buying followers and likes Exploiting a brand s reputation Spreading misinformation Clicking on competitors

... have been noticing a lot of fake testimonials on many of the recently launched products. It went from mild annoyance to pure concern. Wrote a small piece on it. I would love if every one of us starts calling it out more. Link to the article if anyone is interested : https://medium.com/design-bootca... ...

... Matters Blaze Balance Engine is the part of the GrowHouse vision that turns raw chaos into controlled ecosystem behavior. It is not a promise machine. It is not a price-defense gimmick. It is not a hidden switchboard for fake stability. It is a bounded ecosystem balancing layer designed to help GrowHouse react intelligently when the world gets noisy, when activity gets overheated, when reward pressure climbs too fast, or when volatility starts trying to drag the island off course ... ... public . What still needs maturing includes: 1. Full operator-facing balance panel The admin side needs a cleaner, more complete control surface where operators can see: pressure inputs balance recommendations active bounds suggested changes recent balance receipts frozen vs

... honest people don t trust testimonials anymore. Not because testimonials don t work but because they re too easy to fake. AI-generated quotes. Bought reviews. Polished customer stories that feel scripted. So even if your testimonials are real your visitors still hesitate. That tiny doubt = lost conversions. That s exactly why we built TrustWall. A simple way for founders to show testimonials that are actually verified not just written. Connect Stripe, Paddle (more coming) Pull in real customers Display ...

... With AI bots getting harder to detect, there s been growing discussion around platforms using biometric verification (like face scans) to confirm real users. Cool in theory... Reddit is full of bots, fake accounts and garbage engagement. But let s be real Reddit without anonymity isn t Reddit. The whole point of this platform is: Saying things you wouldn t say elsewhere Being anonymous without consequences tied to your real identity Having raw, unfiltered discussions And now the proposed solution ... ... Even if they promise they won t store it: No one believes that Data leaks happen all the time And once that line is crossed, there s no going back On one side, identity verification could: Reduce bots and fake

... Here's the dirty secret of trading: almost every "edge" you see online is fake. Not intentionally people just don't know how to test properly. They overfit to historical data. They don't correct for multiple testing. They cherry-pick the one timeframe where it worked. They look at in-sample results and think they found something. I saw this from the inside. I'm a quant I spent years watching even smart traders make the same statistical mistakes ... ... runs the event study, backtests with stops, optimizes, and gives you a complete trade setup. 12 minutes. If there's no edge, it tells you. That's a valuable result too you just saved yourself months of trading a fake

... every day (even when we say "Good night" to someone, and we don't even have to mean it sincerely). We also lie on our resumes , we don't fully disclose everything on our tax returns , and we sometimes fake income . And that's what I want to talk about... Cluely CEO Roy Lee admitted that the $7M ARR figure he gave TechCrunch last year was fabricated , calling it the only thing he's "blatantly" lied about publicly. He also ... ... falsely claimed the interview was an unsolicited cold call, when his own PR team had arranged it. Now, I wonder if the fake

... real? I often see this on social networks as well, when the "impression of popular posts is created.) Comment from Konrad S.(@konrad_sx): I'm not sure what $1M ARR in 3h is supposed to mean. But faking data and other kinds of lying will sure hurt the reputation, and even if it didn't, it would just be wrong. Success is not all that matters. Comment from Nika(@busmark_w_nika): @tereza_hurtova  Or they could ... ... their Stripe link here https://trustmrr.com/ ... after that, we would see the real Flex :D Comment from Nika(@busmark_w_nika): @wei_yan4  But it is a difference to announce it when it is true vs

... everyone! I ve been experimenting with ways to reduce fake signups and bot accounts in SaaS apps. Some approaches that have worked for me include: Detecting disposable or temporary emails Identifying VoIP or invalid phone numbers Checking IP reputation and datacenter usage Assigning a risk score to new signups to help prioritize real users I recently built a simple API to experiment with these techniques and would love feedback from other devs if you re curious. https://rapidapi.com/ghost-produ... ...

... Product Hunt, I m excited to introduce FakerForge , an AI-powered mock data generator built to solve a common developer frustration: generating realistic, structured test data without writing scripts or manually crafting examples. If you ve ever had to seed a database, test an API, or prepare demo content, you know how time-consuming it can be to create good mock data. FakerForge

... news for developers and product teams: Faker Forge now supports API Mocking. This update represents a major upgrade for anyone building, testing, or demoing software. If you ve ever struggled with backend services not being ready, slow or rate-limited APIs, unreliable dev environments, or the need for realistic data in tests and demos, this new feature will make your life much easier. What s new With API Mocking in Faker

... Product Hunters! I m Artem Anikeev, founder of FakeRadar.io the world's first real-time deepfake detection tool designed specifically for video calls. Why FakeRadar

... week ago, our team tried to launch FakeRadar.io on Product Hunt. But something went wrong and we weren't included in the Featured list. FakeRadar.io

... years, if I was stuck in small talk, or trying to step out of a group conversation, I d instinctively pretend I was on the phone. It worked sometimes, but honestly? Faking a call usually felt more awkward than the situation itself. So I scratched my own itch and built ComfortCall an app that actually calls your phone (from a verified number, not a fake