... building Aura Social , a professional social network designed around signal instead of noise. Most platforms today optimize for: Engagement loops Algorithmic amplification Infinite scroll Aura takes a different approach. Instead of chasing virality, we focus on: Intentional distribution Subscription-based visibility Clean professional identity Structured creator & brand presence The idea is simple: Make reach predictable. Make identity clear. Reduce algorithm

... symmetric security), delivering strong long-term protection. **Core Protection**: It fully defends against "harvest-now-decrypt-later" attacks where adversaries collect encrypted traffic today and attempt to decrypt it later using scalable quantum computers (exploiting Shor's algorithm to break classical asymmetric schemes like RSA and ECC). **User Impact**: Zero noticeable effect the system activates/deactivates seamlessly, without slowing the app, increasing battery consumption, or altering the user experience. **2. Cryptographic Algorithms

... read news... and still lost. That frustration led me to a question: Can AI actually predict crypto markets? After months of research and development, my answer: Yes - except when whales manipulate the market. That's the one thing no algorithm can predict. What I built: An AI platform that combines 7 different machine learning models. Instead of relying on a single algorithm

... Internet Deserves Better I didn't want to build another AI wrapper. I wanted to create a search engine that respects your time, intelligence, and privacy. Welcome to Axus Search . It's based on entirely proprietary, non-AI algorithms. We don't track you. We don't sell your data. We provide instant, verified knowledge in under a second. Why You ll Love It: Three "Killer" Features Axus is about quality, not quantity. Here are the things that will make ... ... because it s better. If you value privacy and accuracy over ads and noise, this is the search engine for you. Download Axus Search here: [ https://play.google.com/console/... ] I m here to answer any questions you have about the algorithms

... officially shutting down, it felt like the end of an era. As 90s kids, we missed that specific "linear" experience the joy of just turning on the TV and being surprised by a music video without an algorithm getting in the way. She joked that "someone needs to bring it back," and with her birthday coming up, I decided that someone would be me. The "Vibe Coding" Journey: The development was a mix of "manual labor" and AI assistance ... ... brainstorming features and broadcast logic with ChatGPT . For the initial POC, I used Base44 and Lovable to get a feel for the product. However, I wanted to be more "hands-on" with the code, so I moved to VS

... Connectivity Resilience (Offline PWA) Built as a hardened Progressive Web Application. If cell towers fail or the internet goes dark, MIKOWATCHS retains cached intelligence, survival checklists, and your last known situation report locally on your device. F. Brutal Ranking Algorithm A custom "Proof-of-Relevance" algorithm

... giving a big finger to AI having decision-making abilities in the hiring process. Nothing impacts a person's lives and livelihood more than having access to steady, reliable, family-sustaining wages... Why on earth would we want some algorithm to determine our futures in this area? So, I - with ~20 years of talent acquisition experience plus a stint at Indeed.com, along Alyssa - our CTO with 20+ years of engineering experience and a stint at Indeed.com, Amanda - our CMO with ... ... years of marketing, front-end development, and UI/UX design experience and a stint at Indeed.com, Charlie - our data guru who spent 20+ years as a Google engineer, and Kelsey - who built one of the worlds' first preference-based algorithm

... lend to people you trust. Credit flows through communities instead of through institutions. THE PROBLEM WE'RE SOLVING 2 billion people can't access credit. Not because they're untrustworthy. Because they don't fit the algorithm. No credit history. No collateral. No documentation. The system excludes them by design. Even people with access get exploited. Banks charge 10-30% interest. Credit cards charge 15-25%. Payday loans charge 400%. The people who need credit most pay the highest rates ... ... gets to create money? Right now: central banks and commercial banks. After DCSocial: anyone with trust. Who captures the value? Right now: banks and shareholders. After DCSocial: communities and participants. Who controls access? Right now: credit bureaus and algorithms

... Major update to Bayan Flow, an interactive algorithm learning platform that visualizes sorting and pathfinding algorithms

... millions of videos to show exactly what audiences want but aren't getting. Common Mistake : Creators copy what's already viral instead of filling gaps. Our data shows this reduces discoverability by 67%, which aligns with YouTube's recommendation algorithm prioritizing novelty over replication. One creator with 11 subscribers used our niche analysis and hit 97,000 views on their first optimized video because they weren't competing, they were filling a verified gap. Phase 2: Viewer Psychology Mapping Critical ... ... Success Factors: Use Channel Insights to decode your specific audience's emotional triggers and content preferences Map viewer journey patterns showing what keeps people watching versus

... Wait this idea is actually good I looked at the old code, took a deep breath, deleted it (I swear it wanted that), and rebuilt everything from scratch: new, clean system a UI that doesn t scare users optimized algorithms cascade cost reduced to $30 so it s accessible to everyone At that moment it was obvious this wasn t a side tool anymore. This was a product. Chapter 3 First month: 100+ users I expected maybe 5 10 people ... ... cascades running smoothly. Chapter 4 What now? PromoPilot has grown from a tiny internal script into a product people use daily. And now I have a whole list of ideas for scaling: more automation, new functions, bigger networks, better algorithms

... suggestion After LLM Arbitrage: User request Analyze user's past preferences Pick best model for THIS user Better suggestion (higher accept rate) How It Works (The Nerdy Bit) Okay, for those who want the technical details... SourcePilot use an algorithm called Thompson Sampling (the same one Netflix uses for recommendations). Here's the flow: USER FEEDBACK LOOP Write AI Suggests Accept/Deny/Retry System Learns Model Stats DB Model A: 85% Success rates Model B: 72% Model C: 91% Use this ... ... Thompson Sampling Algorithm

... months, trying to solve one annoying problem: how to quickly discover and share beautifully designed, high-quality products that rarely show up on mainstream shopping platforms. The hardest part so far has been nailing down the product curation algorithm, I spent weeks testing which signals actually predict whether a product is select-worthy, and kept discarding entire recommendation flows. The breakthrough moment came when I realized that combining expert-selected products with community voting produced far better results than ... ... pure-algorithmic

... need to write all the basic code again and again. Comment from Sharif Hasan(@sharif_hasan4): I'm not sure really what you are talking about, LLms like gpt or claude can literally crush any algorithm case scenario as long as they are provided with the full context. Plus I don't really buy this algorithm

... hallucinations. Granted ChatGPT is getting smarter by the day. But raw intelligence isn't the issue, context is.We didn't build CareerButler to compete with AI; we built it to make AI work specifically for resumes. 2. The Competitor Flaw. They're Literally Just Paying ChatGPT Honestly, this is the part that drives me nuts. Most of the paid tools you see are just copy-and-paste apps. They have a nice website, but all they do is take your ... ... give you a black-box number. We visualize the why. If your score goes up, we show you exactly which keyword or formatting change caused it based on reverse-engineered logic from systems like Greenhouse and Workday. 3. Structure vs

... become more learn from history. Human behaviour seems to repeat - because, at least in my non-scientific understanding, the only thing that doesn t change is that we re human. His talk (for Nexus) was about social media algorithms - and now AI - reshaping us. It was brilliant and a little sad. After a career working inside these platforms and algorithms

... created TheFrame https://theframe.figma.site/ When I first created my Instagram account at 15, I loved sharing my drawings online. Back then, hashtags and art community pages helped a lot. But now, it s all about the algorithm. Eventually, I quit posting my artwork because keeping up with the algorithm

... attention, and we all need it! I used to run creators at adidas (there it s anyone from an artist to an athlete to an influencer). After that I was at TikTok (where creators = the product - without them, the algo has nothing to match). So I think about creators a lot! Even more now with @Meet-Ting as we try to find, build and get audience to stick. Here are a few ways I think about creators outside of pure ... ... because they immediately think about how to tell the story to their audience. That teaches you a ton about: a) how to communicate clearly b) what actually catches attention Remember: to be a creator, you need command of audience + algorithm

... other day on LinkedIn, I came across a competitor in my space. The founder proudly wrote in their bio: "Built the tool from idea to launch in just 2 weeks." My first thought: wow that is really fast. My second thought: wait, how?? So naturally, I signed up to try it. And to be fair nice landing page, great copy, but the product itself was completely broken. Bad UX, broken features, basically not usable at all beyond demo purposes ... ... possibly millions). - In real time analyzing conversations, to see what's pulsing in a niche. - And surfacing those insights into fresh content ideas that anyone can use. A lot of heavy lifting to be done with real processing and algorithms

... focus has shifted from the creator to the content You don t own your audience Your income depends on the algorithm Your fans? Not really yours For too long, creators have: lost followers to ever-changing algorithms

... viral loop. You don t always need glossy videos to win attention, although it definitely helps in a video-driven-feed-world. High production doesn't always need to be the bar, just highly engineered to to platform algo is the key. Two YC teams that nailed it recently Wonda (AI agent for content creation) Posted a slick video (would be weird if they didn't, based on product). On LinkedIn, asked people to comment Wonda to get $100 credits ... ... skip the waitlist. Why it works: drives comments, boosts algo

... option is completely free of flaws. Human: Recruiters with "gut feelings" who harbor unconscious bias. they reject excellent candidates who just didn't go to the "right" school or didn't just "click." Inconsistent, unfair, and un-auditable. AI: Algorithms whose training datasets are themselves replete with historical biases. They increase the scale of discrimination at light speed, becoming so-called black boxes that end up rejecting qualified candidates for reasons that humans cannot even fathom. We are truly deciding ... ... exchange messy, subjective human prejudice for cold, ruthlessly efficient algorithmic

... Product Hunt, We re excited to share AI-Quant Studi o, a platform that lets traders type any strategy idea in plain English and instantly turn it into a backtested and deployable algorithm. Think: "Buy SPY after a liquidity grab above the daily high" and our AI builds the full logic, runs the backtest, and lets you export it to Pine Script, MQL5, or C#. We built this for traders who have the ideas but not the time or desire ...

... infinite content & hot takes online, but no structured way to actually know what people think - or to express it ourselves in a way that counts. We saw it clearly during the last US presidential election. Platforms like x.com became algorithm-driven echo chambers; a few viral influencers shaped what millions saw and thought. Real consensus was hard to see. Opinions felt gamed, not gathered. And it s not just the US. In Europe, there s no independent, modern platform ...

... students to CEOs, is creating content, building audiences, and gaining professional exposure. So I m curious: What s your favorite platform right now and why? For me, it s TikTok . I find it full of genuinely useful videos, the algorithm is still incredibly sharp, and it hasn t been completely overrun by bots (yet). Twitter/X? Great for ideas, but lately it s become a place full with bots. Impossible to reach out real people. LinkedIn? Too polished. Too look ... ... topic. LinkedIn is great for networking, but like you said, it feels overly curated and corporate at times. I think a lot of us are still searching for a platform that balances authentic content, real community, and minimal algorithm