The hottest Platforms Substack posts right now

And their main takeaways
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Top News Topics

Is the Future ā€œAWS for Everythingā€?

Construction Physics ā€¢ 36745 implied HN points ā€¢ 19 Feb 26
šŸ•¹ Technology Platforms
  1. High-volume, repetitive production drives efficiency because specialized tools and processes can spread their cost over many units, so manufactured goods get cheaper while one-off or highly variable services and repairs stay expensive.
  2. Advances in AI and flexible automation could shrink the minimum efficient scale or enable huge, multipurpose plants that produce many different items on rented equipmentā€”an "AWS for everything" where smart software orchestrates machines and people to run diverse processes cheaply.
  3. This model will succeed in some areas (high-mix manufacturing, automated labs, PCB/part fabrication) but not all; whether it works depends on equipment costs, process variability, and how well work can be pooled across many customers, as past experiments like ghost kitchens warn.

The banality of surveillance

benn.substack ā€¢ 5830 implied HN points ā€¢ 06 Mar 26
šŸ•¹ Technology Platforms
  1. Our phones and apps already record almost everything we do, and that data is collected and sold across companies and marketplaces.
  2. Privacy has mostly depended on the annoying difficulty of combining messy logs, so ordinary lives stayed unexamined because it was a pain to do so.
  3. AI automates the grunt work of stitching together those logs, making it trivially easy for governments, companies, or anyone with access to buy or assemble detailed profiles at scale.

Economics Links, 3/11/2026

In My Tribe ā€¢ 318 implied HN points ā€¢ 11 Mar 26
šŸ’¼ Business Platforms
  1. The population is aging rapidly, creating huge demand for long-term care, soaring costs, and a shortage of direct-care workers that will make care unaffordable for many people.
  2. Median earnings for young men have risen substantially from 1989 to 2024, challenging the idea that younger men are broadly worse off in terms of wages.
  3. Thereā€™s a debate over funding and incentives: bundling subscriptions could help consumers but may undercut top creators and change incentives, while large-scale philanthropy can lack market discipline compared with investing in businesses or supporting local charities.

OpenClaw (a.k.a. Moltbot) is everywhere all at once, and a disaster waiting to happen

Marcus on AI ā€¢ 22488 implied HN points ā€¢ 01 Feb 26
šŸ•¹ Technology Platforms
  1. OpenClaw and Moltbook are a fast-growing ecosystem of LLM-based agents and a social platform where agents interact and automate tasks, creating new agent-to-agent behaviors and services.
  2. These agent cascades inherit core LLM flaws like hallucinations, false task completions, and unstable behavior, so they are unreliable for important or critical tasks.
  3. They create major security and privacy risks because agents get broad system access and can be exploited via prompt-injection or platform vulnerabilities, so avoid running or trusting them on devices with sensitive data.

This Week in Marketing: Evidence of Social Media Outrage vs. the Emergence of AI Sloptainment

The Social Juice ā€¢ 85 implied HN points ā€¢ 22 Mar 26
šŸ’¼ Business Platforms
  1. Social platforms reward outrage and engagement, which lets harmful and scammy content spread quickly. Companies often fail to enforce their own rules, leaving users and advertisers exposed to risk.
  2. AI is rapidly reshaping search, publishing, and advertising, cutting referral traffic and forcing marketers to rethink where value and measurement live. That shift creates big uncertainty for publishers, brands, and agencies about monetization and control.
  3. Lowā€‘quality, viral AIā€‘generated entertainment is exploding on social feeds, driving attention but creating safety, copyright, and creatorā€‘rights problems. Creators and regulators are pushing back as these ā€˜AI slopā€™ formats scale.
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MoltBook Is A Warning

Big Technology ā€¢ 7505 implied HN points ā€¢ 06 Feb 26
šŸ•¹ Technology Platforms
  1. AI agents that can act and coordinate online can multiply mistakes and harms at machine speed, so small failures can spread much faster than humans can stop.
  2. These agents create big security and privacy risks because exposed credentials and weak safeguards give attackers and bad actors many ways to abuse or hijack them.
  3. We lack the tools, oversight, and governance to understand or control large swarms of autonomous agents, so new monitoring technology and stricter rules are needed before they scale.

New Data: OpenAIā€™s Lead Is Contracting as AI Competition Intensifies

Big Technology ā€¢ 8506 implied HN points ā€¢ 03 Feb 26
šŸ•¹ Technology Platforms
  1. ChatGPTā€™s lead has shrunk ā€” its mobile app share among daily U.S. users fell from 69.1% to 45.3% while Googleā€™s Gemini rose from 14.7% to 25.1% and Grok climbed from 1.6% to 15.2%.
  2. The overall chatbot market exploded, growing about 152% year-over-year, with ChatGPT visits up 50% (3.8B to 5.7B) and Gemini jumping 647% (267.7M to 2B).
  3. Momentum has recently cooled: ChatGPT traffic dipped in November/December and has only partly recovered, while Gemini continues to post strong month-over-month gains.

Welcome Back to Substack!

Glenn Greenwald ā€¢ 8151 implied HN points ā€¢ 09 Feb 26
šŸ“° News Platforms
  1. Returning to Substack to center on long-form independent journalism after a period producing a nightly live show on another platform.
  2. Plans to use Substackā€™s expanded toolsā€”Notes, video hosting, podcasts, and subscription tiersā€”to publish short updates, video-first segments, and in-depth reporting.
  3. A strong commitment to defending independent media and free expression while continuing to report on foreign wars, surveillance, the security state, and threats to civil liberties.

A.I.'s pandemic moment

Read Max ā€¢ 5558 implied HN points ā€¢ 13 Feb 26
šŸ•¹ Technology Platforms
  1. People are treating the current AI moment like the early days of a pandemic ā€” a sudden, widely felt sense that something big is happening that could quickly rearrange work and institutions.
  2. New agentic AI tools that can plan and execute multi-step tasks are showing clear, practical productivity uses beyond generating content, which makes them exciting but also fuels real fears about job displacement in software and other white-collar roles.
  3. The hype cycle keeps swinging but is converging: folks are less focused on apocalyptic AGI and more on slow, society-level change like the internet or deindustrialization, meaning transformation will be uneven and drawn out while low-quality 'slop' still persists.

Citrini's Scenario Is A Great But Deeply Flawed Thought Experiment

Don't Worry About the Vase ā€¢ 3046 implied HN points ā€¢ 24 Feb 26
šŸ•¹ Technology Platforms
  1. A very fast, widespread AI rollout can massively raise productivity while also displacing lots of whiteā€‘collar jobs and cutting consumer demand, which could stress financial and labor markets, but the scenarioā€™s timing and resource assumptions are probably unrealistic and it underrates many adaptive responses.
  2. Ubiquitous alwaysā€‘on AI agents would erase informational and transaction frictions, undercutting middlemen (SaaS, marketplaces, payments, real estate, delivery) and shifting surplus to consumers and AI providers ā€” great for prices and choice but painful for incumbents and many workers.
  3. How governments, firms, and regulators respond will determine whether disruption is a manageable transition or a systemic crisis; moreover, the possibility of superintelligent AIs taking control is an existential worry that outweighs purely economic fixes.

How Super Apps & Platforms Are Turning AI On Its Head

High ROI Data Science ā€¢ 79 implied HN points ā€¢ 30 Oct 24
šŸ•¹ Technology Platforms
  1. Super apps in Asia grow by offering many services to a smaller customer base, unlike Big Tech that focuses on single services for many users. This helps them cater better to local needs.
  2. The advantages of super apps include faster product development, lower costs for data collection, and a unique competitive edge through exclusive data. They can quickly adapt to market changes too.
  3. Wrtn, a South Korean startup, shows how a super app can combine multiple AI services into one platform. This model offers better value to users and keeps them engaged with ads instead of multiple expensive subscriptions.

The 'Situation Monitoring' Products Flooding The Web

Taylor Lorenz's Newsletter ā€¢ 1522 implied HN points ā€¢ 02 Mar 26
šŸ•¹ Technology Platforms
  1. New ageā€‘verification and ā€œchild safetyā€ laws are pushing platforms to collect identities and preā€‘comply, which removes online anonymity and makes it easy for governments or companies to track and censor journalists, activists, and marginalized people.
  2. There is little solid evidence that social media is causing a broad youth mentalā€‘health crisis, yet that panic is being used as a pretext to pass sweeping surveillance and accessā€‘limiting laws.
  3. Efforts to weaken Section 230 and the spread of situationā€‘monitoring or Palantirā€‘style tools are being used by antiā€‘abortion and other groups to restrict access to reproductive health information and expand online censorship.

They're Trying To Kill The Internet As We Know It

Taylor Lorenz's Newsletter ā€¢ 2448 implied HN points ā€¢ 09 Feb 26
šŸ•¹ Technology Platforms
  1. Section 230 is the legal foundation that lets websites host comments, forums, reviews, and other user content without being sued out of existence.
  2. Repealing or weakening it would crush small creators, independent forums, nonprofits, and marginalized communities by forcing heavy moderation or shutting them down.
  3. This fight is really about who controls online speech, and recent moves like FOSTAā€‘SESTA show how reforms can lead to mass censorship, corporate consolidation, and AI surveillance of the web.

My Fitbit Buzzed and I Understood Enshittification

Software Design: Tidy First? ā€¢ 3910 implied HN points ā€¢ 14 Jan 26
šŸ•¹ Technology Platforms
  1. Relying on metrics to prove value pushes teams to optimize numbers instead of actual user delight, which leads to annoying features like unsolicited notifications or easy-to-hit call buttons.
  2. Adding more metrics creates an arms race where people game the measurements and complexity grows until nobody knows what 'good' really means, so metrics end up replacing real product quality.
  3. A better approach is to adopt simple principlesā€”like don't interrupt users or put buttons where they'll be pressed by accidentā€”and defend those rules even when they aren't measurable on a dashboard.

Zombie news sites are taking over the internet

Simon Owens's Media Newsletter ā€¢ 174 implied HN points ā€¢ 04 Mar 26
šŸ’¼ Business Platforms
  1. Marketing firms are buying or hijacking gaming and news sites and filling them with AI-written content and gambling ads to exploit existing SEO and expired domains for easy revenue.
  2. Relying on platform referrals like Google Discover is risky because traffic can drop suddenly. Publishers shouldnā€™t build their operations around audiences they donā€™t own.
  3. Media businesses are shifting toward direct monetization and platform-native distribution. Newsletters, specialized ad platforms, and multiplatform streaming personalities are becoming more reliable than chasing programmatic or referral traffic.

There's a goldmine hiding in your content archives

Simon Owens's Media Newsletter ā€¢ 349 implied HN points ā€¢ 25 Feb 26
šŸ’¼ Business Platforms
  1. Evergreen content in your archives is a goldmine thatā€™s often overlooked. Regularly resurfacing older articles can boost reader interest and significantly increase subscription conversions.
  2. AI is changing how sourcing works and raising the risk of fake experts and AI-generated commentary. Publishers need stronger verification and access to vetted expert networks to protect trust.
  3. The creator economy and platform monetization are evolving fast, with subscriptions, royalty-tracking tools, and brand deals creating new revenue paths. Creators and startups that capture scale or better revenue tools can reshape how media dollars are distributed.

Everyone Loves The Idea Of AI, But Not The Reality

High ROI Data Science ā€¢ 615 implied HN points ā€¢ 06 Oct 24
šŸ•¹ Technology Platforms
  1. Many businesses love the idea of AI but find it hard to put into practice. It often looks easy on paper, but the reality is very different when trying to make it work.
  2. Data is really important for AI to work well. Companies need good data to build effective AI products, and often, they realize this too late after facing challenges.
  3. AI projects often fail because businesses donā€™t fully understand what they need to achieve. Companies should focus on solving real problems rather than just using the latest technology.

Introducing the Substack TV app, now in beta

Substack ā€¢ 2027 implied HN points ā€¢ 22 Jan 26
šŸ•¹ Technology Platforms
  1. Substack launched a TV app (beta) for Apple TV and Google TV so subscribers can watch creators' video posts and livestreams on the big screen.
  2. Creators donā€™t need to do anything ā€” videos appear automatically for signed-in subscribers, and both free and paid users get access matched to their subscription level, though paid-content previews for free users arenā€™t supported yet.
  3. The app starts with essentials like a For You row and dedicated subscription pages for reliable, high-quality viewing, and Substack plans to add audio/read-alouds, search, paid previews, in-app upgrades, and show sections over time.

Seedance, Kling and the Chinese AI Video Ecosystem

ChinaTalk ā€¢ 770 implied HN points ā€¢ 13 Feb 26
šŸ•¹ Technology Platforms
  1. China has enacted strict, preemptive rules that require visible labels and embedded metadata for AI-generated images, audio, and video, making it one of the few countries to mandate upstream identification of synthetic media.
  2. Those rules are poorly enforced in practice because many generators donā€™t embed compatible metadata, platforms compete to avoid being the strictest gatekeeper, and takedown efforts only address a tiny fraction of the content flowing online.
  3. The government and platforms tolerate some unlabeled AI content because generative video fuels commerce, entertainment growth, and state-friendly messaging, so economic and geopolitical incentives often outweigh strict enforcement.

Yeah, so... Substack, I'm out.

The Future, Now and Then ā€¢ 615 implied HN points ā€¢ 20 Feb 26
šŸ•¹ Technology Platforms
  1. The Polymarket integration turns parts of the platform into a gambling venue and creates incentives for writers to promote outcomes that could profit them, opening the door to conflicts of interest and market manipulation.
  2. Substackā€™s VC-driven business model pushes gimmicks and risky partnerships over improving the core product, which fuels a slide toward worse content moderation and the amplification of toxic or extremist voices.
  3. Many writers will look to migrate to alternatives like Ghost, Beehiiv, or Buttondown, but moving means losing Substack discovery, paying higher hosting fees, and likely asking readers to help fund the newsletter.

$89 Lifetime Lunduke Journal Subscriptions all January!

The Lunduke Journal of Technology ā€¢ 2297 implied HN points ā€¢ 09 Jan 26
šŸ•¹ Technology Platforms
  1. A limited-time sale offers lifetime subscriptions for $89 when paid with Bitcoin or $99 via other platforms, a big discount from the regular $300 price, valid through January 31, 2026.
  2. Monthly and yearly plans are half off during the sale,-priced at $3 per month or $27 per year.
  3. Subscriptions include perks like forum access, DRM-free video downloads, and ebooks, and can be purchased via Substack, Locals, or Bitcoin (Bitcoin payments are cheaper due to lower fees).

What the markets are saying

Substack Blog ā€¢ 654 implied HN points ā€¢ 18 Feb 26
šŸ•¹ Technology Platforms
  1. Substack now lets creators embed live Polymarket prediction market data directly in both Notes and full posts, so odds update automatically while you write or comment.
  2. You can search for Polymarket markets from the editor and insert them without leaving Substack, and embeds automatically change their visuals to match yes/no questions, multi-outcome rankings, or percentages.
  3. Polymarket has joined a creator sponsorship pilot to support writers who use these tools, and many top publications already use prediction market embeds to inform reporting and spark discussion.

Meta keeps finding new ways to not pay its creators

Simon Owens's Media Newsletter ā€¢ 274 implied HN points ā€¢ 24 Feb 26
šŸ’¼ Business Platforms
  1. Meta pays creators almost nothing compared with how much Reels and Instagram earn, so monetization is dominated by creators in low-cost countries and that encourages lots of low-effort, AI-driven content.
  2. Shifting from ad-based models to subscriptions and creator-owned projects can sustain independent journalism and niche media, and podcasts or blogs can successfully spin out from companies to build paying audiences.
  3. A purely data-driven playbook that cuts niche or lower-traffic coverage can alienate loyal, information-hungry subscribers, risking long-term subscription value and reader loyalty.

Dreams of Stability

Working Theorys ā€¢ 605 implied HN points ā€¢ 16 Feb 26
šŸ•¹ Technology Platforms
  1. Stability is the new status in tech: people now prefer safety nets like big AI labs or wellā€‘funded VC backing because they offer proximity to money, information, and lower downside.
  2. Paths are polarizing ā€” the winners are either boarding the big 'New Corporate' ships, founding with strong safety nets, or thriving as focused indies and service providers; the midā€‘tier is hollowing out.
  3. Real, lasting security comes from a portfolio approach ā€” investing in craft, relationships, health, and audiences rather than betting everything on quick exits or single signals.

This Week in Marketing: Instagram has links, Disney is Quibi, and Perplexity exits Amazon

The Social Juice ā€¢ 53 implied HN points ā€¢ 15 Mar 26
šŸ’¼ Business Platforms
  1. Social platforms are racing to capture attention with new formats and creator tools, from clickable links and edit features on Instagram to Disneyā€™s vertical 'Verts' and TikTokā€™s radio and podcasts.
  2. AI is reshaping content and commerce but also causing legal, safety, and trust headaches ā€” shopping agents face blocks, deepfakes and misinformation are rising, and publishers are pushing licensing and protections.
  3. Big tech is changing business models and controls by shifting costs to advertisers, altering privacy and moderation rules, and rolling out ad and AI features that could reduce traditional traffic and revenue.

AI as Electricity, AI as Magic

New World Same Humans ā€¢ 30 implied HN points ā€¢ 16 Mar 26
šŸ•¹ Technology Platforms
  1. AI will show up in two ways: as cheap, widely available "electricity" that powers systems, and as "magic"ā€”deeply personalized, context-aware tools that feel like enchantment.
  2. Selling raw model access is a commodity business and risks a race to the bottom on price, because many models are already good enough for most needs.
  3. The real winners will build AI magic by combining models with product design, user context, hardware, and distribution, and incumbents with strong user relationships have a major advantage.

Apple's move into video podcasts is too little too late

Simon Owens's Media Newsletter ā€¢ 299 implied HN points ā€¢ 19 Feb 26
šŸŽ™ Podcasts Platforms
  1. Appleā€™s new video-podcast features and HLS support improve the experience but are likely too little, too late to stop market share loss to Spotify and YouTube, which benefit from much stronger user lock-in.
  2. More publishers are shifting from metered paywalls to hard paywalls and confidently charging full price, because metered models only work if you produce enormous volumes of repeat traffic.
  3. Niche and independent publishers can build durable businesses by selling direct subscriptions, high-priced specialized access, memberships, events, and brand-funded projects, reducing dependence on big tech platforms.

You Click Build

Big Tech ā€¢ 1031 implied HN points ā€¢ 26 Jan 26
šŸ•¹ Technology Platforms
  1. The platform centralizes control and surveillance: system frameworks, background services, sensors, and cloud features collect and shape behavior, and consent can feel more like a performance than real choice.
  2. Developer agency is eroding as higher-level abstractions and AI automate work: tools, macros, cloud builds, and generative assistants increasingly write, test, and fix code, turning builders into approvers.
  3. Emerging tech blurs reality and autonomy: immersive platforms, onā€‘device ML, distributed actors, and persistent services make highly curated, alwaysā€‘on experiences possible, which challenges privacy and true user independence.

The Founder Who Lost To TikTok Is Building Its AI Successor

Big Technology ā€¢ 1125 implied HN points ā€¢ 21 Jan 26
šŸ•¹ Technology Platforms
  1. An experienced platform builder used lessons from past startups and time inside a top shortā€‘video company to design Sekai.
  2. Sekai is a noā€‘code AI app creator that turns short text prompts into playable miniā€‘apps people can remix, and it scaled extremely fastā€”about 50,000 app creations per day and nearly a million apps total.
  3. The company bets software will shift from utility to selfā€‘expression, positioning Sekai as a TikTokā€‘like platform for personal software that lets nonā€‘developers create and share apps.

Moats in the Age of AI

Tanayā€™s Newsletter ā€¢ 113 implied HN points ā€¢ 03 Mar 26
šŸ’¼ Business Platforms
  1. AI erodes labor-based moats like switching costs, application-layer scale, and generic process advantages, making it cheaper and faster to build features, migrate systems, and iterate.
  2. Defensibility shifts to hard-to-reproduce assets: proprietary first-party data, real marketplace liquidity and reputation, regulatory or physical rails, and unique processes that rely on exclusive signals.
  3. Some powers strengthen or split ā€” model and infrastructure scale plus institutional trust grow in importance, while marketing-driven consumer brand shortcuts weaken as agents can deeply evaluate options.

The Streaming Wars Were Just Plain Weird

Brad DeLong's Grasping Reality ā€¢ 345 implied HN points ā€¢ 08 Feb 26
šŸ’¼ Business Platforms
  1. The streaming wars were predictable and ended up as an expensive overbuild: too many companies launched lossā€‘making streaming bundles and only the player with massive scale and the right capital storyā€”Netflixā€”managed to outlast the rest.
  2. Legacy studios misread streaming as a software platform but found the economics didnā€™t fit; without global scale or a profitable business to subsidize losses, midā€‘sized directā€‘toā€‘consumer services couldnā€™t make money and have returned to licensing and consolidation.
  3. Attention has already shifted to adā€‘supported, userā€‘generated platforms like YouTube, which dominate viewing time and pose a different threat to subscription streamers; big consolidation moves (e.g., a Netflixā€‘Warner deal) could accelerate market concentration but face regulatory and financial risks.

The threat of Google Zero was always overblown

Simon Owens's Media Newsletter ā€¢ 274 implied HN points ā€¢ 06 Feb 26
šŸ’¼ Business Platforms
  1. The fear that AI 'Google Zero' would wipe out publisher traffic was exaggerated. AI summaries cut clicks on simple queries, but many searches are exploratory so people still visit multiple sources.
  2. YouTube has become a massive, profitable platform by combining ad and subscription revenue without paywalls, surpassing many streaming rivals in size. That success highlights the value of creator-friendly monetization and pressures other platforms to share revenue.
  3. Strong brands, diversified revenue (subscriptions, bundles, ads), and real audience engagement matter more than raw traffic. Companies that build loyal audiences or smart bundles can thrive even as search and AI change distribution.

Could Substack Challenge YouTube?

The Honest Broker ā€¢ 5685 implied HN points ā€¢ 16 Jul 25
šŸ•¹ Technology Platforms
  1. Big companies are competing hard for people's attention with video content. They're always trying to make better platforms for viewing videos.
  2. There's a debate about who will dominate the video market, with major names like YouTube, Netflix, and TikTok in the mix.
  3. Surprisingly, a new player could emerge and shake things up, even if it seems unlikely right now.

A prediction market for shortform content

Taylor Lorenz's Newsletter ā€¢ 955 implied HN points ā€¢ 09 Dec 25
šŸ•¹ Technology Platforms
  1. Social media users often leave informal predictions on short-form videos, like betting a clip will reach a certain number of likes or views.
  2. Two college students built Spike, an app that turns those predictions into a formal prediction market where people can bet on whether TikToks will hit specific milestones.
  3. Spike was created at a Harvard hackathon and specifically targets short-form platforms like TikTok and Instagram Reels by letting users wager on likes and view-count milestones.

Chinaā€™s Spring Festival AI war

Pekingnology ā€¢ 86 implied HN points ā€¢ 26 Feb 26
šŸ•¹ Technology Platforms
  1. Big tech turned the Lunar New Year into a massā€‘market AI onboarding event, using red envelopes, gala tieā€‘ins, and shopping coupons to drive huge engagement and hundreds of millions of active chatbot users.
  2. Each company used a different playbook: Tencent socialized AI into group chats, ByteDance embedded AI into national broadcasts and agent workflows, Alibaba linked chatbots directly to eā€‘commerce transactions, and Baidu grafted its assistant onto search.
  3. The promotions produced massive shortā€‘term growth but raised sustainability, operational, and legal questions ā€” itā€™s unclear whether usage will stick once subsidies stop, and the rush exposed throttling and copyright risks.

Free content almost always beats paid

Simon Owens's Media Newsletter ā€¢ 424 implied HN points ā€¢ 31 Dec 25
šŸ’¼ Business Platforms
  1. Free, ad-supported and shortform platforms are winning attention more than paid subscription services, so audiences are increasingly choosing free over paid content.
  2. A surge of low-effort, AI-generated videos is soaking up huge amounts of viewer time and ad revenue, making it harder for higher-quality creators to get noticed.
  3. Creators and publishers are diversifying how they make money ā€” from audiobooks and microdramas to community memberships, sponsorships, and merchandise ā€” and must adapt or partner to capture revenue.

Requiem for a dream

Philosophy bear ā€¢ 200 implied HN points ā€¢ 01 Feb 26
šŸ•¹ Technology Platforms
  1. AI will flood paid writing platforms with cheap, high-volume content and bot-driven networks, which will undermine subscription economics and make it much harder for human writers to build careers.
  2. Most readers are middlebrow and often canā€™t or donā€™t distinguish quality, so AI-optimized, easily digestible 'slop' will capture attention and revenue even if itā€™s inferior.
  3. Only a few kinds of human workā€”superstars with parasocial followings, original reporting, deep scholarship, or unique lived experienceā€”are likely to remain viable, while most mid-tier writers will be squeezed out.

The YouTube "middle class" does exist

Simon Owens's Media Newsletter ā€¢ 199 implied HN points ā€¢ 22 Jan 26
šŸ’¼ Business Platforms
  1. YouTube and social-first channels can support a real middle class of creators. Big audiences and advertisers are increasingly treating YouTube like TV, which makes sustainable revenue more possible.
  2. Newsletters still make money but require active strategies like tracking sponsors and using creative referral partnerships to grow. If you sell your newsletter, try to keep ownership or negotiate a buyback option.
  3. Media companies are diversifying with new products and business movesā€”standalone apps, licensing viral clips, and acquisitionsā€”to reach audiences and create new revenue streams.

The Abundance Agenda: The Best Of 2025

Odds and Ends of History ā€¢ 469 implied HN points ā€¢ 29 Dec 25
šŸŽ™ Podcasts Platforms
  1. The episode is a year-end roundup that collects four favorite segments from 2025 into one special show.
  2. Listeners are encouraged to share the pod and leave a nice review, with the episode available on major podcast platforms.
  3. Links are provided to newsletters, YouTube, and social profiles so people can follow and connect with the creators.