[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"nav-categories":3,"article-google-just-released-the-real-life-pied-piper-algorithm-and-the-memory-market-is-having-a-meltdown":70},{"data":4},[5,37,57,64],{"name":6,"slug":7,"categories":8},"Productivity","productivity",[9,13,17,21,25,29,33],{"id":10,"title":11,"slug":12},17,"Branding","branding",{"id":14,"title":15,"slug":16},19,"Marketing","marketing",{"id":18,"title":19,"slug":20},20,"Work","work",{"id":22,"title":23,"slug":24},34,"Community","community",{"id":26,"title":27,"slug":28},21,"For newbies","for-newbies",{"id":30,"title":31,"slug":32},24,"Investment","investment",{"id":34,"title":35,"slug":36},22,"Finance","finance",{"name":38,"slug":39,"categories":40},"Tech","tech",[41,45,49,53],{"id":42,"title":43,"slug":44},28,"Technology","technology",{"id":46,"title":47,"slug":48},32,"Artificial Intelligence","artificial-intelligence",{"id":50,"title":51,"slug":52},26,"Security and protection","security-and-protection",{"id":54,"title":55,"slug":56},31,"YouTube Blog","youtube-blog",{"name":58,"slug":59,"categories":60},"News","news",[61],{"id":62,"title":58,"slug":63},18,"quasanews",{"name":65,"slug":66,"categories":67},"Business","business",[68],{"id":69,"title":65,"slug":66},16,{"post":71,"published_news":95,"popular_news":161,"categories":231},{"title":72,"description":73,"meta_title":72,"meta_description":74,"meta_keywords":75,"text":76,"slug":77,"created_at":78,"publish_at":78,"formatted_created_at":79,"category_id":46,"links":80,"view_type":85,"video_url":86,"views":87,"likes":88,"lang":89,"comments_count":90,"category":91},"Google Just Released the Real-Life “Pied Piper” Algorithm — And the Memory Market Is Having a Meltdown","Remember the entire premise of the HBO show Silicon Valley? A scrappy startup called Pied Piper invents a revolutionary compression algorithm that shrinks files to a fraction of their size with zero quality loss. It was supposed to be the holy grail of data efficiency.","Google Research dropped TurboQuant (along with its two enabling techniques, PolarQuant and Quantized Johnson-Lindenstrauss, or QJL)","If this were Meta, OpenAI, or Anthropic, you could safely bet they’d keep the technique proprietary to maintain a cost moat. But this is Google","\u003Cp>Remember the entire premise of the HBO show \u003Cstrong>Silicon Valley\u003C/strong>? A scrappy startup called Pied Piper invents a revolutionary compression algorithm that shrinks files to a fraction of their size with zero quality loss. It was supposed to be the holy grail of data efficiency.\u003C/p>\n\n\u003Cp>In 2026, it’s no longer fiction — except the breakthrough didn’t come from a garage startup. It came from \u003Cstrong>Google\u003C/strong>.\u003C/p>\n\n\u003Cp>\u003Cpicture class=\"image-align-left\">\u003Csource srcset=\"https://cdn.quasa.io/photos/00/image-2026-03-28t204226749.webp\" type=\"image/webp\">\u003Cimg alt=\"Google Just Released the Real-Life “Pied Piper” Algorithm — And the Memory Market Is Having a Meltdown\" class=\"image-align-left\" height=\"201\" src=\"https://cdn.quasa.io/photos/00/image-2026-03-28t204226749.jpg\" width=\"300\" />\u003C/picture>On March 25, Google Research dropped \u003Cstrong>TurboQuant\u003C/strong> (along with its two enabling techniques, \u003Cstrong>PolarQuant\u003C/strong> and \u003Cstrong>Quantized Johnson-Lindenstrauss\u003C/strong>, or QJL). These algorithms don’t compress regular files. They compress something far more valuable in the age of LLMs: the \u003Cstrong>KV-cache\u003C/strong> — the massive “working memory” that large language models use during inference to remember context.\u003C/p>\n\n\u003Cp>The results are absurdly good: at least \u003Cstrong>6× reduction\u003C/strong> in KV-cache memory usage, up to \u003Cstrong>8× faster\u003C/strong> attention computation on NVIDIA H100 GPUs, and — crucially — \u003Cstrong>zero measurable accuracy loss\u003C/strong>. Internet immediately dubbed it “Pied Piper for AI.”\u003C/p>\n\n\u003Chr />\n\u003Ch4>\u003Cstrong>The Market’s Instant Panic\u003C/strong>\u003C/h4>\n\n\u003Cp>\u003Cpicture class=\"image-align-right\">\u003Csource srcset=\"https://cdn.quasa.io/photos/00/image-2026-03-28t204217350.webp\" type=\"image/webp\">\u003Cimg alt=\"Google Just Released the Real-Life “Pied Piper” Algorithm — And the Memory Market Is Having a Meltdown\" class=\"image-align-right\" height=\"201\" src=\"https://cdn.quasa.io/photos/00/image-2026-03-28t204217350.jpg\" width=\"300\" />\u003C/picture>Wall Street didn’t wait for the fine print.\u003C/p>\n\n\u003Cp>Within hours of the announcement, memory-chip stocks cratered. Samsung and SK Hynix each dropped around 6% in a single session. Micron Technologies fell even harder. The narrative on forums and trading desks was swift and brutal: “Memory is dead. AI just got Pied Piper’d. Long-term holders are cooked.”\u003C/p>\n\n\u003Cp>It’s easy to see why people freaked out. KV-cache has been one of the biggest bottlenecks (and biggest memory hogs) in running large models at scale. If Google’s technique makes that memory requirement collapse by 6×, surely demand for HBM, DRAM, and high-bandwidth memory is about to evaporate, right?\u003C/p>\n\n\u003Cp>Not so fast.\u003C/p>\n\n\u003Chr />\n\u003Ch4>\u003Cstrong>Why the Long-Term Memory Bull Case Is Still Intact\u003C/strong>\u003C/h4>\n\n\u003Cp>\u003Cstrong>Two structural reasons explain why this breakthrough is not the death knell for the memory market.\u003C/strong>\u003C/p>\n\n\u003Cp>\u003Cstrong>\u003Cpicture class=\"image-align-left\">\u003Csource srcset=\"https://cdn.quasa.io/photos/00/image-2026-03-28t204230301.webp\" type=\"image/webp\">\u003Cimg alt=\"Google Just Released the Real-Life “Pied Piper” Algorithm — And the Memory Market Is Having a Meltdown\" class=\"image-align-left\" height=\"201\" src=\"https://cdn.quasa.io/photos/00/image-2026-03-28t204230301.jpg\" width=\"300\" />\u003C/picture>1. KV-cache compression is an inference play — not a training play.\u003C/strong>\u003Cbr />\nInference is when an already-trained model generates answers. The KV-cache stores context so the model doesn’t have to recompute everything from scratch. It’s relatively “static” data during a single forward pass, which makes aggressive compression feasible.\u003C/p>\n\n\u003Cp>Training is an entirely different beast. During pre-training and fine-tuning, the model is constantly updating billions of weights and gradients. Those values are dynamic, noisy, and extremely sensitive. Applying the same kind of lossless compression there would break convergence. The vast majority of today’s memory demand — especially the ultra-high-bandwidth HBM that powers the biggest training clusters — is still driven by \u003Cstrong>training\u003C/strong>, not inference. TurboQuant doesn’t touch that.\u003C/p>\n\n\u003Cp>\u003Cstrong>2. \u003Ca href=\"https://www.barrons.com/articles/ai-deepseek-microsoft-jevons-paradox-f0467141\">Jevons Paradox\u003C/a> is about to kick in — hard.\u003C/strong>\u003Cbr />\nIn the 1860s, British economist William Stanley Jevons noticed something counterintuitive about coal: when James Watt’s steam engine made coal use far more efficient than the old Newcomen engine, total coal consumption didn’t fall. It exploded.\u003C/p>\n\n\u003Cp>Why? Because cheaper, more efficient engines made steam power economically viable for thousands of new factories, ships, and industries that couldn’t afford it before. Efficiency didn’t reduce demand — it supercharged it.\u003C/p>\n\n\u003Cp>\u003Cstrong>\u003Cpicture class=\"image-align-right\">\u003Csource srcset=\"https://cdn.quasa.io/photos/00/image-2026-03-28t204221348.webp\" type=\"image/webp\">\u003Cimg alt=\"Google Just Released the Real-Life “Pied Piper” Algorithm — And the Memory Market Is Having a Meltdown\" class=\"image-align-right\" height=\"201\" src=\"https://cdn.quasa.io/photos/00/image-2026-03-28t204221348.jpg\" width=\"300\" />\u003C/picture>We’ve seen the same pattern repeatedly:\u003C/strong>\u003C/p>\n\n\u003Cul>\n\t\u003Cli>Cheaper automation created more jobs overall, not fewer.\u003C/li>\n\t\u003Cli>Dirt-cheap internet didn’t reduce data usage; it put the internet in every light bulb, fridge, and doorbell, driving compute demand through the roof.\u003C/li>\n\u003C/ul>\n\n\u003Cp>TurboQuant does exactly the same thing for AI inference. Suddenly, longer contexts, bigger models, and far more concurrent users become dramatically cheaper to serve. Companies that previously couldn’t afford to run large-context LLMs at scale will now deploy them everywhere. The total volume of inference compute — and therefore the total memory required across the ecosystem — is likely to \u003Cstrong>increase\u003C/strong>, not decrease.\u003C/p>\n\n\u003Cp>Short-term efficiency gains almost always lose to long-term demand explosion in tech.\u003C/p>\n\n\u003Chr />\n\u003Cp>\u003Cstrong>Also read:\u003C/strong>\u003C/p>\n\n\u003Cul>\n\t\u003Cli>\u003Ca href=\"https://quasa.io/media/the-ai-compute-chokepoint-welcome-to-the-strait-of-hormuz-for-silicon-and-power\">The AI Compute Chokepoint: Welcome to the Strait of Hormuz for Silicon and Power\u003C/a>\u003C/li>\n\t\u003Cli>\u003Ca href=\"https://quasa.io/media/phota-studio-the-new-ai-photo-lab-that-actually-remembers-your-face\">Phota Studio: The New AI “Photo Lab” That Actually Remembers Your Face\u003C/a>\u003C/li>\n\t\u003Cli>\u003Ca href=\"https://quasa.io/media/finally-an-imdb-for-the-creator-economy-mosaic-and-the-cga-rider-are-professionalizing-creator-work\">Finally, an IMDb for the Creator Economy: Mosaic and the CGA Rider Are Professionalizing Creator Work\u003C/a>\u003C/li>\n\t\u003Cli>\u003Ca href=\"https://quasa.io/media/the-month-s-most-disastrous-rebrand-cracker-barrel-s-logo-overhaul-backfires-spectacularly\">The Month’s Most Disastrous Rebrand: Cracker Barrel’s Logo Overhaul Backfires Spectacularly\u003C/a>\u003C/li>\n\u003C/ul>\n\n\u003Chr />\n\u003Ch4>\u003Cstrong>The Bigger Strategic Question: What Google Does Next\u003C/strong>\u003C/h4>\n\n\u003Cp>\u003Cpicture class=\"image-align-left\">\u003Csource srcset=\"https://cdn.quasa.io/photos/00/image-2026-03-28t204218852.webp\" type=\"image/webp\">\u003Cimg alt=\"Google Just Released the Real-Life “Pied Piper” Algorithm — And the Memory Market Is Having a Meltdown\" class=\"image-align-left\" height=\"201\" src=\"https://cdn.quasa.io/photos/00/image-2026-03-28t204218852.jpg\" width=\"300\" />\u003C/picture>The most interesting variable isn’t even the memory market — it’s \u003Cstrong>who controls the efficiency layer\u003C/strong>.\u003C/p>\n\n\u003Cp>If this were Meta, OpenAI, or Anthropic, you could safely bet they’d keep the technique proprietary to maintain a cost moat. But this is \u003Cstrong>Google\u003C/strong>. Google has a long, consistent history of publishing fundamental research and often open-sourcing it (see: Transformers, BERT, TPU papers, etc.).\u003C/p>\n\n\u003Cp>If TurboQuant (or large parts of it) ends up in the public domain, it becomes a rising tide that lifts every LLM boat. Suddenly every developer, every startup, and every cloud provider can run dramatically more efficient inference. The playing field tilts toward whoever can best productize the gains rather than whoever hoards the secret sauce.\u003C/p>\n\n\u003Cp>That’s the real “Pied Piper” moment. Not that one company invented compression — but that the compression just became democratized at the exact moment when inference demand is about to go parabolic.\u003C/p>\n\n\u003Cp>The memory-chip makers will have a bumpy few quarters. Some investors who piled into the AI memory trade purely on the “infinite demand” thesis will get hurt. But the broader secular tailwind for high-performance memory remains very much alive.\u003C/p>\n\n\u003Cp>Google didn’t kill the memory market.  \u003Cbr />\nIt just made AI so much cheaper that we’re all going to need a lot more of it.\u003C/p>","google-just-released-the-real-life-pied-piper-algorithm-and-the-memory-market-is-having-a-meltdown","2026-03-28T19:45:06.000000Z","28.03.2026",{"image":81,"image_webp":82,"thumb":83,"thumb_webp":84},"https://cdn.quasa.io/images/news/xbrxjEGWzxcgQd4BsQnpA4AjtAFGG3cU3vCxIm8q.jpg","https://cdn.quasa.io/images/news/xbrxjEGWzxcgQd4BsQnpA4AjtAFGG3cU3vCxIm8q.webp","https://cdn.quasa.io/thumbs/news-thumb/images/news/xbrxjEGWzxcgQd4BsQnpA4AjtAFGG3cU3vCxIm8q.jpg","https://cdn.quasa.io/thumbs/news-thumb/images/news/xbrxjEGWzxcgQd4BsQnpA4AjtAFGG3cU3vCxIm8q.webp","small",null,846,1,"en",0,{"id":46,"title":47,"slug":48,"meta_title":47,"meta_description":92,"meta_keywords":92,"deleted_at":86,"created_at":93,"updated_at":94,"lang":89},"Artificial Intelligence, ai, ml, machine learning, chatgpt, future","2024-09-22T08:08:27.000000Z","2024-09-23T12:49:38.000000Z",[96,111,124,135,148],{"title":97,"description":98,"slug":99,"created_at":100,"publish_at":101,"formatted_created_at":102,"category":103,"links":104,"view_type":85,"video_url":86,"views":109,"likes":90,"lang":89,"comments_count":90,"is_pinned":110},"Bitcoin Developers Propose BIP-361: Quantum-Proof Migration That Would Freeze Millions of Legacy Coins","In a move that could reshape the security of Bitcoin’s unspent transaction outputs forever, Bitcoin developers have introduced BIP-361 — officially titled “Post Quantum Migration and Legacy Signature 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conversation on Bloomberg’s Odd Lots podcast, Thomas Peterffy — founder, chairman, and CEO of Interactive Brokers (IBKR) — sat down to discuss one of the most intriguing projects in his company’s 50-year history: IBKR ForecastTrader, the brokerage giant’s freshly launched prediction market platform.","thomas-peterffy-s-bold-vision-for-prediction-markets-why-interactive-brokers-is-betting-big-on-useful-bets","2026-04-16T18:39:15.000000Z","2026-04-19T09:31:00.000000Z",{"title":65,"slug":66},{"image":119,"image_webp":120,"thumb":121,"thumb_webp":122},"https://cdn.quasa.io/images/news/48nr7BL364AeGyF1lbFbh13tx14RNr0P2uUnbVe0.jpg","https://cdn.quasa.io/images/news/48nr7BL364AeGyF1lbFbh13tx14RNr0P2uUnbVe0.webp","https://cdn.quasa.io/thumbs/news-thumb/images/news/48nr7BL364AeGyF1lbFbh13tx14RNr0P2uUnbVe0.jpg","https://cdn.quasa.io/thumbs/news-thumb/images/news/48nr7BL364AeGyF1lbFbh13tx14RNr0P2uUnbVe0.webp",23,{"title":125,"description":126,"slug":127,"created_at":128,"publish_at":128,"formatted_created_at":102,"category":129,"links":130,"view_type":85,"video_url":86,"views":54,"likes":90,"lang":89,"comments_count":90,"is_pinned":110},"Google March 2026 Core Update: Massive Volatility, Traffic Winners & Losers Explained","The latest major Google algorithm change — the March 2026 Core Update — began rolling out on March 27, 2026, and was fully completed on April 8, 2026.","google-march-2026-core-update-massive-volatility-traffic-winners-losers-explained","2026-04-19T07:51:48.000000Z",{"title":58,"slug":63},{"image":131,"image_webp":132,"thumb":133,"thumb_webp":134},"https://cdn.quasa.io/images/news/H2tMWtqU3QHdp9bM8v1t8lyHVpsyXCjwnoSRDqau.jpg","https://cdn.quasa.io/images/news/H2tMWtqU3QHdp9bM8v1t8lyHVpsyXCjwnoSRDqau.webp","https://cdn.quasa.io/thumbs/news-thumb/images/news/H2tMWtqU3QHdp9bM8v1t8lyHVpsyXCjwnoSRDqau.jpg","https://cdn.quasa.io/thumbs/news-thumb/images/news/H2tMWtqU3QHdp9bM8v1t8lyHVpsyXCjwnoSRDqau.webp",{"title":136,"description":137,"slug":138,"created_at":139,"publish_at":140,"formatted_created_at":102,"category":141,"links":142,"view_type":85,"video_url":86,"views":147,"likes":90,"lang":89,"comments_count":90,"is_pinned":110},"Diamond Prices Hit Rock Bottom: The Lowest Levels in 20 Years – And How the Market Went Off the Rails","Natural diamond prices have crashed to their lowest point this century. A one-carat stone that averaged around $6,000 in 2021 now sells for about $4,200 on average — and the decline shows no sign of stopping.","diamond-prices-hit-rock-bottom-the-lowest-levels-in-20-years-and-how-the-market-went-off-the-rails","2026-04-15T14:56:47.000000Z","2026-04-19T06:48:00.000000Z",{"title":65,"slug":66},{"image":143,"image_webp":144,"thumb":145,"thumb_webp":146},"https://cdn.quasa.io/images/news/v0WN9Ww0ZbWCWAE06wHZd0ekVCqpY457nL4LlTvF.jpg","https://cdn.quasa.io/images/news/v0WN9Ww0ZbWCWAE06wHZd0ekVCqpY457nL4LlTvF.webp","https://cdn.quasa.io/thumbs/news-thumb/images/news/v0WN9Ww0ZbWCWAE06wHZd0ekVCqpY457nL4LlTvF.jpg","https://cdn.quasa.io/thumbs/news-thumb/images/news/v0WN9Ww0ZbWCWAE06wHZd0ekVCqpY457nL4LlTvF.webp",40,{"title":149,"description":150,"slug":151,"created_at":152,"publish_at":153,"formatted_created_at":102,"category":154,"links":155,"view_type":85,"video_url":86,"views":160,"likes":90,"lang":89,"comments_count":90,"is_pinned":110},"Spotify Brings AI Prompting to Podcasts: Discovery Dream or Algorithm Trap?","Spotify has extended its Prompted Playlist feature to podcasts, allowing users to describe in natural language exactly what they want to listen to. The AI then generates a personalized playlist of episodes, complete with short explanations for why each one was included.","spotify-brings-ai-prompting-to-podcasts-discovery-dream-or-algorithm-trap","2026-04-13T12:13:17.000000Z","2026-04-19T03:25:00.000000Z",{"title":65,"slug":66},{"image":156,"image_webp":157,"thumb":158,"thumb_webp":159},"https://cdn.quasa.io/images/news/XoGlwwb26yzfll4lBQIyLeoHf3WHzrQ1v0zInejr.jpg","https://cdn.quasa.io/images/news/XoGlwwb26yzfll4lBQIyLeoHf3WHzrQ1v0zInejr.webp","https://cdn.quasa.io/thumbs/news-thumb/images/news/XoGlwwb26yzfll4lBQIyLeoHf3WHzrQ1v0zInejr.jpg","https://cdn.quasa.io/thumbs/news-thumb/images/news/XoGlwwb26yzfll4lBQIyLeoHf3WHzrQ1v0zInejr.webp",62,[162,175,191,203,217],{"title":163,"description":164,"slug":165,"created_at":166,"publish_at":167,"formatted_created_at":168,"category":169,"links":170,"view_type":85,"video_url":86,"views":173,"likes":174,"lang":89,"comments_count":90,"is_pinned":110},"The Anatomy of an Entrepreneur","Entrepreneur is a French word that means an enterpriser. Enterprisers are people who undertake a business or enterprise with the chance of earning profits or suffering from loss.","the-anatomy-of-an-entrepreneur","2021-08-04T15:18:21.000000Z","2025-12-14T06:09:00.000000Z","14.12.2025",{"title":65,"slug":66},{"image":171,"image_webp":86,"thumb":172,"thumb_webp":172},"https://cdn.quasa.io/images/news/mVsXPTMuHZuI7UXCsENgL1Qwp1uSOf7Rz3uVPMfm.webp","https://cdn.quasa.io/thumbs/news-thumb/images/news/mVsXPTMuHZuI7UXCsENgL1Qwp1uSOf7Rz3uVPMfm.webp",70787,2,{"title":176,"description":177,"slug":178,"created_at":179,"publish_at":180,"formatted_created_at":181,"category":182,"links":183,"view_type":188,"video_url":86,"views":189,"likes":190,"lang":89,"comments_count":90,"is_pinned":110},"Advertising on QUASA","QUASA MEDIA is read by more than 400 thousand people a month. We offer to place your article, add a link or order the writing of an article for publication.","advertising-on-quasa","2022-07-06T07:33:02.000000Z","2025-12-15T17:33:02.000000Z","15.12.2025",{"title":58,"slug":63},{"image":184,"image_webp":185,"thumb":186,"thumb_webp":187},"https://cdn.quasa.io/images/news/45SvmdsTQbiyc3nxgbyHY1mpVbisYyub2BCHjqBL.jpg","https://cdn.quasa.io/images/news/45SvmdsTQbiyc3nxgbyHY1mpVbisYyub2BCHjqBL.webp","https://cdn.quasa.io/thumbs/news-thumb/images/news/45SvmdsTQbiyc3nxgbyHY1mpVbisYyub2BCHjqBL.jpg","https://cdn.quasa.io/thumbs/news-thumb/images/news/45SvmdsTQbiyc3nxgbyHY1mpVbisYyub2BCHjqBL.webp","large",70552,4,{"title":192,"description":193,"slug":194,"created_at":195,"publish_at":196,"formatted_created_at":197,"category":198,"links":199,"view_type":85,"video_url":86,"views":202,"likes":190,"lang":89,"comments_count":90,"is_pinned":110},"What is a Startup?","A startup is not a new company, not a tech company, nor a new tech company. You can be a new tech company, if your goal is not to grow high and fast; then, you are not a startup. ","what-is-a-startup","2021-08-04T12:05:17.000000Z","2025-12-17T13:02:00.000000Z","17.12.2025",{"title":65,"slug":66},{"image":200,"image_webp":86,"thumb":201,"thumb_webp":201},"https://cdn.quasa.io/images/news/EOsQhSW3VXyG7a6NPdE1oZd00xfJXe3bjY5aJGb7.webp","https://cdn.quasa.io/thumbs/news-thumb/images/news/EOsQhSW3VXyG7a6NPdE1oZd00xfJXe3bjY5aJGb7.webp",68186,{"title":204,"description":205,"slug":206,"created_at":207,"publish_at":208,"formatted_created_at":209,"category":210,"links":211,"view_type":85,"video_url":86,"views":216,"likes":174,"lang":89,"comments_count":88,"is_pinned":110},"Top 5 Tips to Make More Money as a Content Creator","Content creators are one of the most desired job titles right now. Who wouldn’t want to earn a living online?","top-5-tips-to-make-more-money-as-a-content-creator","2022-01-17T17:31:51.000000Z","2026-01-17T11:30:00.000000Z","17.01.2026",{"title":19,"slug":20},{"image":212,"image_webp":213,"thumb":214,"thumb_webp":215},"https://cdn.quasa.io/images/news/gP8kiumBPpJmQv6SMieXiX1tDetx43VwFfO1P4Ca.jpg","https://cdn.quasa.io/images/news/gP8kiumBPpJmQv6SMieXiX1tDetx43VwFfO1P4Ca.webp","https://cdn.quasa.io/thumbs/news-thumb/images/news/gP8kiumBPpJmQv6SMieXiX1tDetx43VwFfO1P4Ca.jpg","https://cdn.quasa.io/thumbs/news-thumb/images/news/gP8kiumBPpJmQv6SMieXiX1tDetx43VwFfO1P4Ca.webp",42168,{"title":218,"description":219,"slug":220,"created_at":221,"publish_at":222,"formatted_created_at":223,"category":224,"links":225,"view_type":188,"video_url":86,"views":230,"likes":174,"lang":89,"comments_count":90,"is_pinned":110},"8 Logo Design Tips for Small Businesses","Your logo tells the story of your business and the values you stand for.","8-logo-design-tips-for-small-businesses","2021-12-04T21:59:52.000000Z","2025-05-05T03:30:00.000000Z","05.05.2025",{"title":15,"slug":16},{"image":226,"image_webp":227,"thumb":228,"thumb_webp":229},"https://cdn.quasa.io/images/news/Wbx2NtS1CnTupgoQbpFMGspJ5jm4uob2hDOq33r0.jpg","https://cdn.quasa.io/images/news/Wbx2NtS1CnTupgoQbpFMGspJ5jm4uob2hDOq33r0.webp","https://cdn.quasa.io/thumbs/news-thumb/images/news/Wbx2NtS1CnTupgoQbpFMGspJ5jm4uob2hDOq33r0.jpg","https://cdn.quasa.io/thumbs/news-thumb/images/news/Wbx2NtS1CnTupgoQbpFMGspJ5jm4uob2hDOq33r0.webp",41266,[232,233,234,235,236,237,238,239,240,241,242,243,244],{"title":23,"slug":24},{"title":47,"slug":48},{"title":55,"slug":56},{"title":43,"slug":44},{"title":51,"slug":52},{"title":31,"slug":32},{"title":35,"slug":36},{"title":27,"slug":28},{"title":19,"slug":20},{"title":15,"slug":16},{"title":58,"slug":63},{"title":11,"slug":12},{"title":65,"slug":66}]