Podcast
Anchor's Podcast
Hosted by Angela Zeng · ZH
【歡迎來到Anchor's Podcast】
嗨，我是 Angela，專注新創產品的用戶增長。
過去幾年，我在新創公司和上市公司新創部門做產品增長，也承接各種新創增長案子。
每週會在 Substack 發布電子報 Anchor’s Newsletter，主題圍繞新創的挑戰、產品增長、平台內容經濟以及個人品牌。
這個 Podcast 來自我的電子報，我希望用聲音的方式，把我最近寫的文章和觀察分享給你，每週一次，直接聊我的思考、案例和策略。
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10episodes
Episodes
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How 2025 Trading Products Guide User Behavior
Sep 1700:14:15Tap to summarizeHi I’m Angela 🧸A product growth marketer who exists in the space between caffeine highs and retention lows.For more: Anchor | instagram | XAttention, trust, and retention drive designThe Daily StruggleEvery trader’s screen is a battlefield. Charts jumping every second, alerts buzzing with no pause, and social feeds flooding with hot takes that all sound urgent. On top of that, there are the endless Telegram groups, Discord chats, and WhatsApp threads, each packed with screenshots of wins and losses, unverified tips, and memes that make high-risk bets look like jokes.The problem is not just the speed of information. It’s that everything shows up at the same volume. A random influencer’s call gets the same visual weight as a research note from a fund. The brain, drowning in this flood, grabs whatever feels most familiar or confidence-boosting, whether or not it deserves the attention.This is where trading tools start shaping behavior in ways most people barely notice. The way a dashboard is laid out, which notification gets highlighted, what kind of social signal is surfaced first—all of it decides what a trader acts on. Traders think they’re choosing, but the product is already nudging the choice.In the end, the scarcest resource is not money, it’s attention. Every chart, every ping, every chat message competes for the same mental slot. And what traders really want is not another chart or feature, but a signal they can trust enough to cut through the noise.That need is exactly what shaped the products we’re now seeing in the market. Copy trading, advisory layers, and social-driven platforms are less about adding functionality and more about building confidence filters. They step in to answer the simple but heavy question traders face every day: what signal do I act on right now?When you zoom out, the new wave of trading products all circle around the same tension: how to give traders a signal that feels trustworthy in the middle of chaos. The approaches look different on the surface, but they’re all solving the same underlying demand.One path leans on social signals. Traders copy what others are doing, not because they believe the crowd is smarter, but because they want proof that someone else is willing to place a bet. The group becomes a filter for confidence.Another path builds around advisor signals. These tools package strategy into simple guidance, almost like having a coach whispering what move makes sense. The promise here is less stress, more clarity, and a sense that the heavy lifting is being handled by an expert system.Each model frames trust in a different way. Social platforms sell trust through collective behavior, advisors sell it through authority, and algorithms sell it through neutrality. But at the core, they are all fighting for the same scarce resource: the trader’s attention, and the confidence that the next click is anchored in something more than noise.Across all these formats, the underlying driver is the same. Traders seek trusted signals that reduce uncertainty without eliminating agency. Products evolve to meet that need, blending social proof, automation, and AI insights into a single environment. Understanding how attention and behavior interact with design choices is critical for product managers building the next generation of trading tools.Copy TradingCopy trading offers social proof. Watching another trader’s performance provides a shortcut to judgment. Users adjust allocations, follow top performers, and rarely deviate from what the platform highlights. The platform’s design subtly determines whose risk-taking becomes visible and whose remains invisible. Top exchanges’ built-in follow features create similar dynamics, turning observation into participation without explicit instruction.People follow other traders because it feels safer. Seeing someone else cash in makes taking a risk themselves seem less scary. Users end up staring at performance charts all day, adjusting allocations nervously, and sticking close to whatever the platform highlights. Social proof turns into a crutch. Confidence comes from watching someone else roll the dice. For example, a trader might copy a top performer’s Bitcoin bets, shuffle half their portfolio into Ethereum because the feed says it’s trending, or jump into a meme coin just because everyone in the group chat is buzzing about it. Platforms like eToro or the copy trading features built into the major exchanges make this easy, showing top traders to copy and letting users mirror trades automatically.Automated StrategiesAutomation sells the idea of control. Traders connect their accounts, let strategies run in the background, and enjoy the relief of not clicking every order themselves. A bot that executes around the clock feels like discipline made simple. Over time, small gains build trust, and signals from automation turn into part of the daily routine. Instead of staring at charts for hours, traders check dashboards, adjust settings, and monitor results.Some platforms take this further by offering pre-built strategies that claim high win rates across both bull and bear markets. CoinTech2u, for example, plugs directly into major exchanges and positions itself as a way to keep trades running with minimal manual effort. For a trader, this shifts the work from execution to supervision. They might set a system to rebalance between Bitcoin and ETH every few hours, then casually review performance over coffee, or let a volatility strategy ride while they focus on their day job. The process feels sustainable because the heavy lifting is automated, while the human role is to oversee and decide when to step in.AI Trading AdvisorsAdvisors in trading act like copilots. Some platforms operate as autonomous agents that continuously scan social discussions, on-chain events, and market signals. They assemble a live narrative map that shows which tokens are gaining attention and which stories are starting to spread. AIXBT is one of these. It works as an AI agent focused on extracting alpha from real-time market data and crypto narratives, surfacing early signals before they fully reach the crowd.Another tool works more like an information distribution and indexing layer for Web3. Kaito collects and organizes data from forums, research reports, governance proposals, podcasts, and social feeds. It transforms this flood of content into searchable and structured insights that let traders connect shifts in attention with on-chain behavior.In practice, an advisor might detect a sudden spike in posts from influential accounts while on-chain transfers show early activity in the same token. The system sends an alert with a short explanation of which wallets moved, which accounts spoke up, and how this compares with past cases. Another situation could be the opposite: social buzz rises sharply but on-chain data stays flat, which signals a possible overhype and prompts the trader to adjust risk or hedge.Over time, these advisors shape more than trade execution. They change how traders interpret the market. Narrative signals start to carry as much weight as charts, and wallet movements become a new form of credibility. For product teams, the challenge is clear. The signals must be transparent, the logic interpretable, and the action steps obvious. When sources are verifiable and reasoning is easy to follow, signals turn into trust. That is the true product value.Social-Integrated PlatformsSocial-integrated platforms turn attention into interaction. Robinhood Social integrates real-time activity with community chatter, letting users see what peers are doing and talking about. Trending trades, notifications, and follow suggestions become a form of signal curation. Users rely on this curated visibility to gauge relevance and credibility, turning ephemeral chatter into a psychological anchor for decisions.Trading doesn’t happen in a vacuum anymore. Robinhood Social layers a constant stream of social signals over the market. Users can follow other traders, peek at public portfolios, and see what notable investors are doing. Every scroll, every like, every new follower subtly shapes what gets attention.This turns trading into a social activity. Popular trades and trending users act as anchors in the chaos, giving something concrete to focus on. Decisions aren’t just about numbers anymore, they’re about where attention is flowing. Social proof becomes part of the signal.The platform meets a deeper need for reassurance. Traders feel less like they’re guessing alone and more like they’re moving with a crowd that validates action. It doesn’t just surface tools, it structures attention, nudges behavior, and buil...
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Think You Know Your Competitor?
Sep 900:11:07Tap to summarizeHi everyone, a few days have passed. Last Friday I was fully occupied at a three-day startup exhibition in Taipei. This week finally brings some space to reflect and write again. Life inside a startup means every day is a challenge, and we keep moving forward regardless of the difficulty.For any Mandarin-speaking readers, feel free to leave a comment in Mandarin at the end of this article. I would be very glad to interact with you there.如果有中文用戶 歡迎在文章底下使用中文留言給我 我會很開心與你們互動 : )The Hidden BattlefieldMany founders think their main competitors are other products in the same space. In reality, the real battle happens in the first two seconds of consumer attention.Every feature, campaign, or launch is tested in that tiny window. A short pause or a quick scroll decides if the funnel even has a chance to begin.Micro-Attention as CurrencyMicro-attention behaves like money in digital markets. Each fragment is small, but once aggregated it shapes entire ecosystems.* Short video platforms turn a second of viewing into algorithmic signals that control the flow of future recommendations.* E-commerce platforms translate a glance at a product into personalized nudges and a sequence of purchase triggers.* Publishing networks use the fraction of a second spent opening an email preview as the gatekeeper for deeper readership.* Music streaming platforms treat early skips as the atomic signal of attention. If a listener moves on within the first few seconds, algorithms downgrade the track and reduce its exposure in playlists. Success is not determined by the full three minutes of a song but by the initial micro-moment where the user decides to stay or leave.Micro-attention decides distribution flows. A single second of watch time on short video platforms pushes content deeper into recommendation loops, while an early skip in streaming can shrink an artist’s reach. These micro-signals act as leverage points, turning the smallest fragments of focus into distribution power.Recent research quantifies how brief attention spans are in digital contexts. A meta-analysis by eye square, covering over 320 studies with more than 340,000 participants, found that the majority of media moments last less than 2.5 seconds. After just 2.5 seconds, roughly half of users have already disengaged. This highlights how critical the first two seconds are for capturing attention and why micro-attention is so fleeting (eye-square.com).This two-second window is where your product or content either earns a user’s engagement or loses them entirely. Every visual, word, or interaction matters in this period.For PMs, micro-attention can be instrumented as CTR on first elements, scroll initiation, or completion of the first micro-task. These data points define whether a product even has the chance to deliver its value.Aha MomentPMs often obsess over features, pricing, or campaigns, but most users never reach the stage where those matter. The loss occurs before the product has a chance to prove itself. The first two seconds set the stage. Every cue, animation, or snippet of micro-copy influences whether users continue.A well-designed micro-attention moment should map directly to the product’s core value.* Spotify surfaces a playlist tailored on first login.* Notion highlights a starter template.* Duolingo creates a streak on the very first exercise.These are not random design choices. They anchor attention immediately and convert it into an early Aha Moment.Amplifying Attention with Story and InteractionStory and interaction extend fragile attention. Humans respond to narratives even in fragments. A short scenario, a hint of conflict, or a twist creates a pause. Interaction invites participation instead of passive scanning.In product design, stories can be woven into onboarding flows, tutorials, or micro-copies. Interaction can use progressive disclosure, guiding users step by step. Together they add seconds to the attention window and increase the odds of deeper engagement.A Model for ConversionTreat micro-attention as the earliest unit in the growth funnel. The sequence can be understood through three transitions.* CaptureA pause must be earned. This often comes from a broken pattern, an unexpected contrast, or a familiar symbol re-shaped in a new way.Examples:* A news app pushes a headline crafted with an open loop that prompts curiosity.* A health app sends a daily nudge framed as a micro-challenge, easy enough to spark action.* A B2B SaaS tool highlights a peer company’s usage insight in the dashboard, signaling social proof in context.* An online community platform surfaces trending posts with sharp visual markers, nudging users to click in before scrolling past.* A SaaS dashboard highlights a new feature with a subtle animation or badge, drawing the user’s eye.* An online course splits lessons into micro-modules that are only 3–5 minutes each, making it easier for learners to start without committing a long session.* TranslateAttention then moves into immediate action. A swipe, a tap, or a short click extends the cycle. The transition needs to feel lighter than escape.Examples:* In e-commerce, clicking a product leads immediately to a personalized recommendation carousel.* A SaaS trial nudges a user to complete their profile with gamified checklists, turning passive focus into small actions.* Micro-courses prompt micro-assignments at the end of each module, guiding learners to complete the next step.* Social apps use micro-engagements such as reactions, comments, or polls embedded in content to maintain attention within a single session.* CompoundThe final stage converts fragments into habit. Each unit of attention feeds the next. Platforms and products can chain micro-engagements to form a return rhythm.Examples:* Short video platforms push content sequentially based on past pauses, creating habitual scrolling.* Online courses send reminders for unfinished micro-assignments, creating recurring engagement.* SaaS platforms show progress bars for feature adoption, making small completions visible and motivating repeated interaction.* Community platforms reward consistent participation through badges or reputation points, turning small daily interactions into long-term retention.Rule of 7Repetition compounds attention into trust. Marketing research often refers to the "Rule of 7", suggesting that audiences need to encounter a message around seven times before it begins to feel credible. In the context of micro-attention, repeated exposure works the same way. Each small impression reduces uncertainty, makes the brand more familiar, and increases the chance of deeper action. Consistent visibility, even in micro-formats, builds the foundation for loyalty.Applications across products:* SaaS onboarding sequences use multiple nudges across email, in-app messages, and subtle UI highlights. Each touchpoint reinforces the idea that the product is simple to adopt and worth exploring.* Direct-to-consumer brands rely on retargeting ads that surface the same product across different contexts. The repeated presence reduces hesitation and moves the user closer to purchase.* Online courses send timed push reminders and release micro-assignments. Each reminder keeps the course top-of-mind, encouraging learners to return and complete the program.* Community platforms trigger recurring promptsto re-engage users with polls, events, or recognition. Small repeated touches accumulate into a sense of belonging.[Simulated scenario]Strategic Lessons for Builders* Measure micro-attention as a leading KPI. Track first pauses, scroll initiations, and early micro-actions before retention or conversion.* Design instant hooks that earn attention within the first two seconds. Every animation, visual cue, or snippet of copy should pull users in immediately.* Create loops that chain capture, action, and reward. Each micro-interaction should feed the next, building a rhythm of repeated engagement.* Optimize placement, timing, and format. Small adjustments in context can dramatically change whether attention is captured or lost.* Break products or experiences into micro-units. Frequent, low-friction interactions allow users to engage without feeling overwhelmed, increasing both adoption and retention.* Prioritize flow over feature completeness. The product delivers value only if attention reaches the point where core experiences can be experienced.Closing ViewMicro-attention drives the flow of engagement across digital ecosystems. Each fragment of focus determines visibility, interaction, and the likelihood that users will return. Platforms that track, reward, and chain micro-engagements turn fleeting attention into repeated behavior and long-term retention.Founders who design around micro-attention are addressing the real battlefield. Features, campaigns, and product launches only matter if users pause long enough to experience them. Two seconds of focus set...
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How Course Creators Became the Growth Engine of Modern Platforms
Sep 100:11:20Tap to summarizeHi I’m Angela 🧸A product growth marketer who exists in the space between caffeine highs and retention lows.For more: Anchor | instagram | XI. The Shift in Platform Growth LogicPlatforms initially grew by adding features and improving technology. Early success relied on functional differentiation and technical advantage. Over time, the growth model shifted. Platforms now prioritize traffic over features. Social and creator-driven activity generates attention and retention far more effectively than any technical improvement. Platforms that ignore the central role of creators experience slower engagement and weaker user loyalty.TikTok illustrates this change. The platform began as a short video network and evolved into an incubator for creators, turning individual posts into ongoing attention loops. Substack, OnlyFans, and Patreon convert creator output directly into long-term platform engagement and recurring revenue. Attention has become the decisive driver of growth and retention.II. Case Study: Platform Forms and MechanismsDomestika A premium “creative professional course platform.” The platform leads production and carefully selects instructors. Its core lies in high-quality video and strong community interaction, positioning itself as the Netflix for creatives.Netflix for Creatives：High-Quality Content and Expert InstructorsDomestika offers high-quality courses taught by industry professionals, covering creative fields such as design, illustration, and photography. These courses are known for their polished visual style and professional content, similar to Netflix’s approach to high-quality film and television production.Subscription-Based Business ModelDomestika launched the “Domestika Plus” subscription service, giving users unlimited access to courses, similar to Netflix’s subscription model.Focus on Content Discovery and Recommendation SystemsThe platform emphasizes the user experience of discovering new courses and uses recommendation systems to guide learners toward related content, similar to Netflix’s content recommendation engine.Global Reach and Multi-Language SupportDomestika offers courses in multiple languages, attracting a global audience and aiming to become the go-to platform for creative professionals worldwide, akin to Netflix’s global expansion strategy.Stan Store A community-native “creator storefront.” Stan Store isn’t exactly an education platform; it’s more of an evolved link-in-bio tool that lets TikTok and Instagram influencers sell courses, ebooks, and consulting sessions with a single click. The focus is on monetization speed rather than course experience.The screenshot is from a course by the creator Social.runway on Instagram.Integrates guided classes and subscription services. Creators run live or semi-live programs while providing ongoing subscription content. The platform collects a portion of revenue. This structure ensures predictable income for creators and sustained interaction with subscribers. Platform growth aligns directly with creator activity.Maven A highly interactive, cohort-based course platform. It is geared toward professionals, helping knowledge creators run “small-group, real-time” classes. Positioned as a premium education community.The screenshot is from a course by the Dr. Marily Nika on Maven.Combines online courses, community interaction, and offline workshops. Knowledge-based creators monetize expertise, strengthen community loyalty, and extend engagement into real-world events. The platform benefits from long-term retention as creators and learners form interconnected ecosystems.PressPlay The Taiwan-based player, emerging from knowledge-focused YouTubers and professional influencers. It emphasizes practical skills and combines matchmaking with marketing support, enabling creators to quickly penetrate the local market.Structurally, PressPlay operates like a set of thematic academies, each focused on a specific domain. Within an academy, the platform collaborates with multiple instructors whose expertise aligns with that subject. Importantly, instructors are not locked into a single academy. They can contribute to multiple fields, which both diversifies their exposure and enhances cross-pollination of audiences.The screenshot is from a course by the Next Master on Press Play.Beyond subscriptions, PressPlay also employs a crowdfunding-style sales model, where courses are launched with tiered early-bird discounts. This approach creates urgency through time-limited offers, effectively turning each course launch into a marketing event. By combining academy-based curation, recurring subscription revenue, and campaign-driven pre-sales, PressPlay sustains both steady cash flow and peak bursts of attention, reinforcing its role as a structured yet flexible creator-fan engagement hub.Course Sales Models: A ComparisonIII. Platform Growth Mechanics: Creator Models Broken DownEach platform turns user attention into ongoing growth. Traffic brings people to creators. Creators keep producing content and interacting with their audiences, generating recurring revenue for themselves and the platform. Users stay because strong communities and repeated engagement keep them involved, rather than features alone.* Watch new courses or videos multiple times* Comment, like, or share content regularly* Participate in community discussions or submit assignments* Join live sessions or real-time interactive classesSuccessful platforms give creators clear incentives, simple ways to collect revenue, and tools to manage content and audience attention. High creator turnover remains a major challenge. Platforms need to structure incentives carefully to maintain long-term engagement.IV. Implications for Platform DesignFor platforms centered on educational content and creator-led communities, every design decision involves a trade-off between maximizing short-term platform revenue and protecting long-term creator loyalty. Prioritizing immediate commissions or fees might boost short-term margins, but if creators reduce quality, leave the platform, or disengage, the system loses the foundation of sustainable growth. Users respond to content quality: well-produced courses, thoughtful lessons, and structured programs retain learners and generate repeat engagement far more effectively than quick, shallow offerings.1. Incentive Design as Core Product SurfaceRevenue structures—course fees, subscription models, membership tiers, and paid workshops—define how creators behave. Transparent and predictable policies encourage creators to invest in high-quality content and community engagement. Inconsistent or opaque payout rules risk churn or lower effort. PMs must evaluate the trade-off between taking higher commissions in the short term versus building a stable ecosystem that rewards sustained creator contribution.2. Exposure Systems as Strategic LeverageRecommendation and discovery architecture determine which creators gain visibility and how users experience the platform. 4. Misalignment Between Platform Signals and Creator IncentivesSignals like “most popular courses” or “trending instructors” can encourage creators to optimize for metrics rather than learning outcomes. If platforms reward raw enrollment numbers without considering course depth or completion rates, creators may prioritize flashy but shallow content. Aligning incentives requires mechanisms that value high-quality instruction, learner feedback, and engagement over pure enrollment or revenue, while still maintaining clear monetization opportunities for creators.5. Architecture as Long-Term MoatTechnical features—dashboard analytics, community tools, and content management systems—support creators, but the platform’s defensibility comes from institutional design. Consistent policies, predictable monetization, transparent recommendation algorithms, and reliable support channels foster trust. These structural elements ensure creators remain engaged, produce high-value content, and contribute to the platform’s long-term growth. Features alone cannot replicate this stability; trust and legitimacy compound over time into a durable competitive advantage.V. Risks and Trade-offsDependence on a small group of highly active creators introduces fr...
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Who Tech Companies Are (and Aren’t) Hiring in 2025
Aug 2900:09:38Tap to summarizeQuick Take: Tech Hiring in 2025* Companies want smaller teams that deliver bigger results.* Mid-level pros with proven impact get more attention. Entry-level candidates face a narrower funnel.* Taiwan’s market is feeling the heat. Returning overseas grads increase competition, salaries have slowed, and STEM-heavy roles make it intense.* Portfolios matter more than resumes. Side projects, demos, campaigns, or measurable metrics can make or break a candidate.* AI, self-media, and indie ventures make entrepreneurship more viable. Many are asking: why work for someone else when you can build your own path?I. The Current Landscape: A Market in FluxHiring in the U.S. technology sector remains stagnant, with the LinkedIn Workforce Report for August 2025 indicating a modest year-over-year increase of just 0.3% in job postings. The San Francisco Bay Area, a traditional tech hub, continues to experience a 36% decline in overall hiring compared to pre-pandemic levels.Simultaneously, companies like Meta are reevaluating their hiring strategies. After aggressively recruiting over 50 AI researchers and engineers, Meta has implemented a hiring freeze in its AI division, citing the need for organizational restructuring and alignment with long-term strategic goals.II. Structural Shifts in Hiring PracticesThe current hiring environment reflects a strategic shift from quantity to quality. Companies are no longer merely filling positions; they are seeking individuals who can drive innovation and contribute meaningfully to organizational goals. This approach necessitates a reevaluation of traditional hiring criteria, emphasizing skills and impact over credentials and tenure.III. Profiles of In-Demand Talent* AI-Enhanced Engineers and OperatorsProfessionals who leverage AI tools to enhance productivity and efficiency are highly sought after. These individuals possess the ability to integrate AI into their workflows, driving innovation and optimizing processes.* Cross-Functional BuildersCandidates who can navigate multiple disciplines—product development, data analysis, and growth strategies—are invaluable. Their versatility allows them to contribute to various aspects of a project, fostering holistic development.* Product VisionariesIndividuals with a keen understanding of market needs and the ability to translate them into viable products are in demand. Their insights drive product development that resonates with users and meets market demands.* Growth-Oriented MarketersMarketers who can demonstrate tangible results through data-driven strategies are prized. Companies are increasingly looking for professionals who can not only craft compelling narratives but also execute campaigns that drive measurable growth.* Revenue-Driving RolesGrowth marketing, partnerships, and business development roles are becoming hotter spots in hiring. In a tighter funding environment, companies favor positions that can directly impact cash flow over purely supportive functions. The focus is on professionals who can move metrics, generate revenue, and create measurable business outcomes quickly.* High-Energy PerformersSome companies are seeking individuals who exhibit exceptional dedication and output. For instance, a recent LinkedIn post from a tech company expressed a desire to find "the next Daniel Min from Cluely" .IV. Taiwan's Tech Job Market:Returnees, Competition, and TransformationThe software job scene in Taiwan has tightened noticeably. Many returning international students cite tougher U.S. visa environments as the trigger for coming home. That influx is creating more competition, and salary growth has cooled compared to a few years ago.Taiwan’s strong STEM-leaning（Science, Technology, Engineering, Mathematics） job market amplifies these tensions, not just on paper, but in real conversations. In threads, a recurring sentiment surfaces: “Maybe I should grab a manufacturing gig for now until software vibs pick up again.”Taiwan’s semiconductor space offers some breathing room. As of May 2025, the industry faced a shortage of 34,000 workers, particularly in production, quality control, R&D, and technical support roles, reflecting its rapid expansion in advanced manufacturing.This labor gap nudges many engineers toward micro-entrepreneurship. They’re launching indie SaaS tools, niche digital products, or consultancies on the side. The pressure of 2025 is real and constant. But that same pressure is triggering reinvention, every competition pushes someone to build something new.V. Emerging Challenges for Entry-Level CandidatesEntry-level professionals face increasing challenges in securing positions. A Stanford study indicates a 13% decline in junior job listings over the past three years, particularly in fields susceptible to AI automation. This trend disproportionately affects individuals aged 22–25, who traditionally relied on these roles to gain experience and advance their careers.VI. The Growing Importance of PortfoliosAs hiring standards shift, portfolios have taken on outsized importance and are sometimes replacing traditional resumes. Companies no longer focus solely on degrees or past titles. Candidates need tangible proof of their abilities.Engineers showcase side projects or open-source contributions.Product managers present demos, prototypes, or design artifacts that demonstrate how they translate ideas into actionable products.Marketers highlight campaign results.Growth operators share data metrics that show measurable impact.Being able to quantify your output has become a core criterion for getting through the door. This trend reflects a broader shift in the industry, where evidence of real-world impact matters more than credentials on paper.VII. Rethinking Recruitment StrategiesAI’s integration into workflows has accelerated competition. Investors and executives seek leverage: smaller teams producing larger outputs. Every hire is expected to contribute measurable value, favoring candidates with proven results—shipped products, successful campaigns, or quantifiable wins. Mid-level professionals remain attractive because they reduce risk, while entry-level candidates face a tightening funnel as companies limit training overhead.In Taiwan, the influx of returning overseas graduates adds pressure to an already competitive software market. Salaries have stagnated, and traditional pathways into tech are narrower than before. Discussions across forums and online communities suggest that engineers consider temporary shifts into manufacturing or hardware roles while waiting for software hiring to recoverVIII. From Pressure to ReinventionThe heightened competition is prompting alternative strategies. Professionals are turning toward side projects, indie products, and personal brand building. AI tools and self-media platforms lower the cost of experimentation, making entrepreneurship more feasible than ever. The same energy that once went into chasing scarce job openings is now being invested in personal output and independent initiatives.ConclusionTech hiring in 2025 rewards measurable impact, cross-functional capabilities, and roles that directly drive revenue. Entry-level candidates face significant pressure, while mid-level professionals navigate higher expectations. Taiwan exemplifies this tension: a market under strain that also fosters innovation and self-directed paths. Success increasingly depends on visible results and the ability to adapt creatively to shifting conditions. Get full access to Anchor's Newsletter at anchorgrowth.substack.com/subscribe
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The world is a Colosseum
Aug 2600:08:20Tap to summarizeHi I’m Angela 🧸A product growth marketer who exists in the space between caffeine highs and retention lows.For more: Anchor | instagram | XI. Opening: Awareness vs. CageIf no one tells you the cage exists, you move along with the social framework, never questioning its edges.If someone points out the cage, you feel drained, caught between awareness and fatigue.You try to rise, and others trapped in the same system throw words sharp enough to cut.You push back, resistance only brings harsher blows. In the end, you submit and become one of them.II. Historical Anchor: Bread and CircusesJuvenal, a Roman poet around 100 CE, wrote: "Give people bread and circuses, and they will forget politics." This phrase, panem et circenses, criticized how the populace, once active in civic duties, had become passive, desiring only food and entertainment. Emperors used free grain and public spectacles to maintain control and distract the masses from political issues. Pollice Verso (Thumbs Down), by Jean-Léon Gérôme, 1872 / Phoenix Art MuseumIII. Modern ProductIn the office, a designer kept scrolling through their app’s feed.She frowned. "Nobody is active."The product lead looked up and said, "Add badges for every small action. Make scores visible. Push the top one percent higher."By evening, notifications filled phones, screenshots spread, and users tapped and refreshed without pause."We should boost these posts for more reach," maketer suggested.A junior engineer whispered to his friend, “Users cannot stop chasing it."The friend shrugged. "Look at the feeds. Everyone is glued to notifications, chasing every little badge and point."IV. Behavioral Patterns & System DesignThis whole setup runs on how people naturally behave. When something feels scarce, when ranks are visible, or when small rewards pop up, people react almost the same way every time. The system is built to grab attention, push comparison, and trigger habits you don’t even notice forming. Designers do more than launch features. They build incentives that grab your wants and turn them into loops you keep running through.The analogy with the Colosseum runs deeper. Spectators once sat in tiered seats, cheering, fearing, hoping. Modern platforms reproduce this structure digitally. The top tier receives visibility and recognition. The middle tier strives for incremental advancement. The lower tier consumes content, participates minimally, but is drawn into loops that extend attention. Every action, every tap, every share reinforces the system.V. Behavioral Economics PerspectiveBehavioral economics explains the power of intermittent rewards. Humans overvalue immediate signals. Platforms exploit this, offering inconsistent points, badges, or notifications that stimulate dopamine-driven cycles. System design converts small, frequent rewards into long-term engagement. People who are just watching the feed often end up taking action themselves, tapping, posting, or chasing points. Once they act, they rarely realize that every click and post strengthens the system they are part of.VI. Social & Structural EffectsPlatforms mirror the Colosseum not only structurally but socially. Comparison breeds desire. Desire manifests as competition. Competition escalates stress, reinforces attention loops, and strengthens social hierarchy. Users become both audience and performer. Every tap, post, or badge affects how others see them and how they feel about themselves. Even when they know the system is designed to manipulate,the demands of the job and the emotional pull keep them engaged.VII. Colosseum as StageThe gladiatorial games worked as a way to control collective emotion. Crowds cheered, feared, and hoped, guided by the structure of the arena. People got trained by the system, performing or being fed in routines that normalized participation. Individuals became tools the system needed, following the expectations of sponsors, emperors, and the watching audience.Users compete for visibility, post for status, and feed the metrics that keep the system running. Startups chasing investor returns often tweak the system in ways that take away real benefits from users. Every action reinforces the structure while giving the sense of choice. Small digital rewards replace bread, and public applause replaces the roars of the arena.Designers keep an eye on how people behave and tweak incentives as they go. Users get caught in patterns without noticing how their actions keep the system running. Seeing how absurd it is does not make anyone stop. Everyone is both performing and watching at the same time, and that’s just part of how the system works.VIII. Internal Equilibrium & FreedomWe are all part of this arena. Trying not to take part in the system feels unrealistic. Users who know how the system works and keep their balance can join in without getting eaten up. They notice the small nudges, the notifications, and the leaderboards pushing them to act. They know which signals matter and which are just noise. Finding this balance does not mean ignoring the system—it means participating on your own terms.Some choose to engage selectively, responding when the reward or recognition aligns with their priorities. Others step back for a moment, observing how incentives shape behavior, and then return with a strategy rather than blind participation. Awareness does not make the system disappear, but it changes the way users interact with it. They still tap, post, and compete, but the stakes feel different because they are conscious of what drives their own actions.Being aware turns participation into a choice instead of a compulsion. Users see the patterns, the loops, and the hierarchy, and they can navigate them without losing themselves. In this way, freedom exists not outside the arena, but inside it, shaped by understanding rather than escape.IX. Seven Sins of Modern PlatformsIn the meeting room, the team went over engagement metrics.Boss: We need users to bring in more people. Posts have to reach other platforms.PM: We set up recommendation systems and give more visibility to users who follow them.Marketer: Doesn’t that kind of punish the others?PM: Fastest way to get results.Carrots in these systems are more than just points or badges. Each small reward signals progress and triggers a hit of satisfaction. Users start noticing patterns, learning what earns a carrot and what doesn’t. Even tiny incentives feel meaningful, and that sense of meaning drives repeated action.These small rewards shape behavior in predictable ways. Users adjust their actions to get the next carrot, sometimes reshaping their routines, priorities, or social interactions. Designers place them strategically, knowing how much effort people will put in for just a little recognition. Carrots transform simple interactions into habits, and habits into ongoing engagement loops that feel natural and even necessary.Boss: Good horse. Europe 1916 by Boardman Robinson (Image is in the public domain)Still alive in market, and your self-doubt?Cool. Most great products start right there.If you survived this dispatch without mental breaks, Anchor sends caffeine.Recommend this colony log to your fellow survivors. Get full access to Anchor's Newsletter at anchorgrowth.substack.com/subscribe
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Who Is Reading Your Work？
Aug 2100:05:26Tap to summarizeHi I’m Angela 🧸A product growth marketer who exists in the space between caffeine highs and retention lows.For more: Anchor | instagram | XLast week I published a piece breaking down Substack’s growth engine. It looked at how writer and reader behavior form loops that sustain the platform. Among the comments, one stood out.Jennifer Houle, who writes about rethinking HR systems, left this reply:Really like how this breaks down growth as loops instead of hacks. It captures the long game of trust and compounding better than most takes I’ve seen.At first glance it is a kind note. Look closer and it tells me a lot about who is on the other side of my writing. She is not looking for surface-level tactics. She wants frameworks that explain cause and effect. She cares about long-term trust. And she is willing to engage publicly when something resonates.That one reply functions as a data point. Treating it seriously changes how I approach my work.What a single reader tells youWhen someone takes time to comment, they are signaling what matters. In Jennifer’s case:* Frameworks beat one-off tricks* Long-term loops feel more useful than short-term spikes* Clarity makes an idea worth repeatingThis is not just her preference. These patterns often repeat across readers in different fields. A product manager, a recruiter, or a founder may have different day jobs but share the same mental model: “Show me something I can apply and reuse, not a clever story I will forget tomorrow.”From one reader to manyTreat your publication like a startup. Find where your users are. Listen to the problems they are facing. Think about how you can provide practical help and real value.Writers often imagine an “ideal reader persona” (AI tool users, startup founders, HR professionals). The risk is building a picture too abstract to be useful. Starting with a real person works better. One reader gives you signals, and those signals often map onto a group.When Jennifer reacts to 《Substack’s Growth Engine》, I see overlap with product people who value compounding. When she praises the focus on loops and the long game of trust and compounding, I see a concrete signal about the kind of growth problems readers care about—sustainable, behavior-driven growth rather than chasing hooks and traffic.Different roles, same set of problems. That is where the real opportunity lies: Designing solutions for a concrete pain point, which then reveals the group of people who share it, instead of guessing what an abstract “ideal reader persona” might need.Go to the front linesThe best signals do not always arrive in your inbox. Readers live in other places. They complain on Reddit threads. They trade notes in X communities. They leave comments under product reviews. These conversations are raw, shaped by the problems people are actively trying to solve. When you track those moments, you see the same themes surface across roles. Product managers, HR leads, and founders may frame it differently, but the underlying tension repeats. That is the ground truth worth building for.If you want sharper content, go there. Scan forums. Read comment sections. Note the phrasing people use when they describe their frustrations. Those exact words often make stronger starting points than anything you brainstorm on your own.Think of it as field research. Your readers are already telling you what they need. You just have to be in the room where it happens.Turn signals into a loopOnce you see comments and conversations as data, writing becomes a feedback loop:* Publish a model or framework* Watch which part gets highlighted, replied to, or questioned* Extract the signal from that interaction* Feed it back into the next pieceThe loop compounds. Readers feel heard, content improves, and engagement grows as relevance does the heavy lifting.Why this mattersWriting into the dark feels lonely. Treating each comment as a signal creates structure and direction. It grounds your work in reality. One reader becomes a prototype. The prototype reveals patterns. Patterns guide content. And the cycle continues.Growth in writing is not only about reaching more people. It is about designing with real people in mind. Each reply, each highlight, each public reaction is part of the dataset. Pay attention, and the work scales in ways that still feel personal.Still alive in market, and your self-doubt?Cool. Most great products start right there.If you survived this dispatch without mental breaks, Anchor sends caffeine.Recommend this colony log to your fellow survivors. Get full access to Anchor's Newsletter at anchorgrowth.substack.com/subscribe
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Atomic Networks: How to Survive Substack (Newsletter)
Aug 1900:07:14Tap to summarizeHi I’m Angela 🧸A product growth marketer who exists in the space between caffeine highs and retention lows.For more: Anchor | instagram | XThe hardest part of Substack is not the writing, it is finding readers when you have none. Atomic networks help you solve that by breaking your work into small pieces that spread faster and pull people back to your newsletter.Running a Substack is like running a startup. The newsletter itself becomes both your product and your market test. Network effects are simple in practice: the more people participate, the more valuable the whole system becomes. Everyone knows how social platforms work - the more users, the more interactions, the stickier the platform.No replies, no shares, no subscribers. For writers, the cold start isn’t just technical, it feels personal. The audience isn’t there yet, so the work floats away unseen.This problem isn’t new. Every network in history has gone through the same pain. Marketplaces fail without buyers and sellers. Social apps stall when no one invites their friends. For Substack writers, network effects don’t come from platform size. They come from reader density. Ten engaged readers matter more than a hundred silent subscribers. With just one audience member, interactions feel isolated. When ten people start engaging at the same time, they compare notes, start conversations, even argue. That cumulative interaction is where network effects really happen.The pattern is always the same: anything that depends on connections struggles before those connections exist. Substack shows this in its rawest form, because writing on its own doesn’t guarantee distribution.Atomic networks give a way out. Instead of pouring all effort into one long essay, you break it down into smaller pieces that can move on their own. A chart on Twitter, a one-liner on LinkedIn, a quick snippet on Threads. These fragments travel farther than the essay itself, and each one points back to the source. Over time the fragments link up, and what started as silence begins to pull people in.1. The Substack Cold StartEvery new writer hits the same wall, but Substack does offer native discovery. The platform includes writer-to-writer recommendations, a discovery feed in the app, and short-form sharing through Notes. These levers still need a spark. Recommendations move when existing writers vouch for you or when readers start engaging, so a zero-connection account gets limited lift at the start. Early discovery still leans on external pull, which is why atomic units matter. 2. Why Long Essays Fail to Break SilenceNew writers often start by publishing long essays, hoping the work speaks for itself. The effort is real, but most of the time the reach doesn’t go beyond friends or a small circle. Seven-minute reads are heavy to travel through weak connections. Without smaller hooks that can live on their own, the essay rarely reaches new audiences. Finding readers matters more than writing perfectly.3. The Logic of Atomic NetworksAtomic networks solve this by changing scale. Instead of treating a full essay as the only product, writers break it into fragments that can move independently. A chart, a single sentence, a statistic, or a quick question can circulate far more easily than the whole essay. Each fragment points back to the main piece, creating multiple entry points. The cold start becomes a series of small, testable bets instead of waiting for one lucky breakthrough.4. Building the First LoopsThe key to growth is loops. A chart shared on Twitter brings attention, which leads to clicks, which creates subscriptions. Subscriptions then become a base for future essays, which produce new atoms. Each loop sustains the next. Without loops, growth depends on luck. With loops, it compounds.5. A Working ExampleTake an essay on AI productivity tools. The full article might only reach a handful of people. Split into atoms, the effect looks different. A market adoption graph on Twitter sparks retweets. A punchy takeaway on LinkedIn triggers discussion. A 30-second reels on Instagram intrigues someone new. Each fragment funnels readers back to the Substack, building the first core audience. The essay itself may stay modest in reach, but the atoms amplify it.6. Signals and IterationAtoms are not only distribution devices, they are instruments of feedback. Some will resonate, others will disappear. A chart that spreads signals interest in data-driven framing. A sentence that travels signals appetite for sharp commentary. A clip that sinks signals poor relevance. Writers adjust future content based on these signals. The cold start becomes a sequence of structured experiments that reduce guesswork and increase leverage.7. Designing for SurvivalCold start on Substack is not a one-time hurdle; it defines early strategy. Writers who ignore it risk burnout. Writers who treat it as a design problem can build self-sustaining systems. Atomic networks let fragments travel, loops form, and feedback guide the next step. Writing still takes work, but each word carries more impact. Getting traction happens when you create loops and test constantly, while hope just tags along.Closing ThoughtCold start works like a design problem, not a lottery. Each atom is a small experiment that spreads risk across channels. Instead of betting everything on a single essay, you test multiple fragments at once. A chart on Twitter, a punchy sentence on LinkedIn, a visual snippet on Threads. Each fragment reveals how people respond and what sticks. Some succeed, some fail, and every outcome generates feedback. By the time these atoms reconnect to your Substack, you’ve turned trial and error into a structured loop. You’re not just surviving cold start, you’re building a system that learns, adapts, and grows with every move.Still alive in market, and your self-doubt?Cool. Most great products start right there.If you survived this dispatch without mental breaks, Anchor sends caffeine.Recommend this colony log to your fellow survivors. Get full access to Anchor's Newsletter at anchorgrowth.substack.com/subscribe
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Substack’s Growth Engine
Aug 1400:11:23Tap to summarizeHi I’m Angela 🧸A product growth marketer who exists in the space between caffeine highs and retention lows.For more: Anchor | instagram | XLately I’ve had a lot more subscribers from Taiwan, so feel free to interact with me in Mandarin. (最近多了很多台灣訂閱者，可以自由使用中文跟我互動。) : )Today’s piece uses Substack as an example to break down how a product’s growth loops work.Every product needs growth loops, so if you’re curious about how a certain type of product drives user growth, you can reply to this email or leave a comment at the end of the post.Behavior, Loops, and Funnel ArchitectureMost platforms define growth as a race for attention, measured in new signups or viral spikes. Substack followed a different path. Its expansion originated in predictable behavioral patterns between writers and readers. Every feature, every interaction, and every metric reflects the alignment of incentives between these groups.Substack turns everyday reader habits into creator income： Paid walls, direct emails, and the free-to-paid conversion path make reading feel normal while nudging people to subscribe. Every click, open, or note reply adds up, moving readers along a predictable path.Feed economy: How Each Platform Manufactures Dependency LoopsControl comes from the platform: subscription lists, direct access to readers, and ways to turn attention into paying supporters. This setup keeps Substack’s loops running. Habits create income, income reinforces publishing. Writers keep putting out content, readers keep engaging, and the system compounds trust into stable revenue.Writing as Funnel ArchitectureEvery post functions as a step in a behavioral funnel rather than a pure act of expression. Notes, the micro-content layer, operates as a temperature control mechanism. Writers simulate conversation, warming cold readers for future subscription. Open-ended questions, visibility threads, and staggered calls-to-action modulate the emotional slope between familiar strangers and paying subscribers. Trust velocity replaces reach as the primary metric. Writers who carefully manage this slope gain compounding returns over time. A consistent slope from familiar stranger to paying subscriber drives the business.Mechanics that raise temperature* Direct email delivery reduces discovery fatigue and slots reading into daily habits.* Free previews show users why the content is worth paying for exactly when they are looking at it.* Substack guides users through a series of prompts, starting with gentle suggestions and building up to stronger asks, while nearby examples of other people engaging provide social proof.* Notes keeps a writer present between big posts, which tightens cadence and shortens time to subscribe.Calls to action appear in a sequence, from soft ask to hard ask, with social proof embedded at multiple points. When a new reader subscribes, Substack often shows a recommended publications module with numbers or quotes like “Get Angela's recommendations”People and publications recommended by Angela Zeng,” signaling trust. Weekly Top Paid or Top Free rankings highlight fast-growing or high-revenue newsletters, giving platform-level endorsement. Authors often reference or collaborate with other recognized writers, creating an implicit peer approval signal. At the bottom of articles, comment counts, likes, and highlighted responses show community engagement, reinforcing credibility and nudging new readers toward subscription.This system fosters a peer-to-peer recommendation environment, allowing creators to support each other's growth and build a community of engaged readers.From Isolation to Network: How Substack Turns Writing into a Growth LoopMost creators quietly fear the same thing: speaking into the void. You can spend months writing, editing, and polishing the perfect newsletter, yet without readers, the work feels like a message in a bottle drifting across an empty ocean.A few years ago, I started writing on Medium. The topics were similar to what I cover now. After a handful of posts, my motivation faded. I never stopped to ask why.A few weeks ago, I started again, not because inspiration struck but because I was already publishing on my 2B company website. I figured I could just as well turn that content into a newsletter. That led me to Substack. At first, it felt just like Medium. No replies. No visible audience. Then something shifted. Substack’s design actively encouraged connections between writers. Ollie Forsyth found my work. That led to conversations with more writers. These were not shallow follows. They felt like introductions at a small but lively gathering.This shifted my perspective. Substack did more than let me send emails. It put me into a space where writers supported each other, a network already built on trust.Early growth looked simple from the outside. Writers joined, brought their audiences, published consistently, and momentum followed. In reality, it was more complex. Growth came from the trust embedded in the network. Each time a respected writer joined, their audience discovered not just them but others in their orbit. Recommendations mattered because they came from trusted voices.The platform’s discovery mechanics mapped these trust connections and surfaced them in ways that felt natural. Over time, this web of relationships became the real distribution engine. Publishing on Substack felt less like throwing work into a feed and more like entering a neighborhood where people vouched for each other.That mix of personal reputation and subtle design turned isolated creative efforts into a compounding growth loop. For writers inside, the challenge shifted from simply growing an audience to strengthening their position within the network itself.Behavioral anchors that make loops compoundingLoss aversion. Paid subscribers are felt as a base to defend. Writers protect cadence and quality to avoid churn.Commitment bias. Named subscribers feel personal. Writers treat output as a social contract, which sustains frequency.Institutional trust. Substack gives writers a stable environment they can trust. Creators fully own their subscriber list, emails reliably reach readers, and payments happen predictably. This stability lets writers plan multi-month content arcs instead of stressing every week about lost subscribers or fluctuating income. In other words, the platform’s rules let long-term strategy win over short-term survival.These anchors remove volatility from both sides of the market. Less volatility produces cleaner loops.These anchors form the psychological bedrock of the loops that drive Substack’s ecosystem.The three interlocking loopsWriter commitment loopPublish consistently. Subscriber count rises. Feedback and revenue stabilize behavior. The loop repeats at higher baselines.Reader retention loopEmail inserts content into a routine the reader already follows. Habit strength rises with each valuable post. Churn falls because trust accumulates in the same channel that handles personal and work mail.Network magnetism loopLarge writers attract new readers. Some readers try writing. New writers import their own audiences, which lifts discovery for the next cohort.Flywheel shorthandContent loop: publish → feedback → consistent output → retention.Community loop: reader engagement → creator response → sharing → new subscribers.Revenue loop: stable income → reinvestment in quality and perks → higher perceived value → more upgrades.Three-Tier Flywheel* Content Loop: Publishing leads to engagement signals that reinforce continued output and retention.* Community Loop: Reader engagement prompts creator responses and social sharing, attracting new subscribers.* Revenue Loop: Stable income motivates investment in content quality and promotion, driving further subscriptions.These loops interlock. Output sustains engagement, engagement feeds retention, and retention produces reliable revenue, creating a compounding system.Case studies with concrete numbersThe Pragmatic EngineerGergely Orosz reported crossing one million subscribers in mid-2025, roughly three and a half years after launch. newsletter.pragmaticengineer.comGrowth in ReverseThis milestone followed <a target="_blank" href="https://growthinreverse.com/gergely/...
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Why We Pay to Read: Inside the Subscriber’s Mind
Aug 1200:00:35Tap to summarizeHi I’m Angela 🧸A product growth marketer who exists in the space between caffeine highs and retention lows.For more: Anchor | instagram | XWhy I Keep Paying for That One NewsletterIn a world of noise, what makes a reader pay for a smaller, sharper signal - and how creators keep them coming back.After work, I drifted into a nearby bookstore without a clear plan. I found myself near shelves filled with books related to my field. I picked up a few at random - sometimes drawn by a title, sometimes by a cover. Flipping through pages, one caught my interest. I settled in a quiet corner where few people passed by and kept reading.That book connected with me. Even though it was late, I wanted more. I believed it could help me in my work. So I bought it.Subscribing to a newsletter follows this same pattern. Browsing online is like wandering a bookstore, occasionally choosing something worth your time. The newsletter arrives quietly, without demand or noise. It offers space to think sharper or breathe easier. Sometimes it guides me to parts of the internet I wouldn’t find alone - curated, intentional corners.A locked section exists for a select few. The content there feels heavier, closer. The value grows knowing few share that space.I invest time, money, and attention. That exchange depends on trust - trust that the return justifies what I give. In a world of online noise, this kind of quiet deserves protection.What Makes Someone Hit “Subscribe”Most people who pay for content are not doing it out of goodwill. Something in their head says this will give them an edge, save them time, or keep them from missing something important. That push comes from a mix of reasons.For some, the draw comes from having access to thinking others in their circle do not have. In finance, that might mean hearing about a call before the market moves. In tech, it could be spotting where the next shift will happen before it becomes obvious.Others seek a place where the noise quiets down. The pace matches how they want to process the world. Reading becomes a way to slow down and think clearly.There is also the small rush from surprise. The kind that shifts your view of a problem or opens a door you didn’t know existed. It’s addictive in a subtle way.Some just want decisions taken off their plate. They trust the writer to filter, think through, and connect the dots. Paying feels easier than doing that work themselves.Then there is the early-buyer instinct. Securing access before the price rises, before the archive goes private, before the creator’s time becomes scarce. It feels like getting in before the door closes.Patterns in the data match these motives. Signups jump when big events shake an industry. Open rates rise when the topic hits a reader’s current pain. Churn grows when tone drifts too far or pace feels off. Behind every metric sits a reason in someone’s mind, and those reasons shift with the world outside.Case Studies: How Subscriber Motives Link to Revenue ModelsChamath Palihapitiya’s（Bestsellers in Technology #2, August 12, 2025） audience seeks an edge rooted in access, depth, and perspective they cannot find elsewhere. This advantage breaks down into several concrete aspects:* Exclusive InsightsChamath leverages his network and experience to share information often unavailable to the public. This includes early signals on market shifts, private deals, and emerging trends before they hit mainstream channels.* Deep Analysis with Strategic ContextHis content goes beyond surface-level news. It connects dots across industries, capital flows, and technology evolution, offering a coherent view that helps readers anticipate what comes next.* Direct Access to Chamath’s ThinkingSubscribers gain a front-row seat to his thought process - how he evaluates opportunities, weighs risks, and makes decisions. This intellectual framework acts like a mental shortcut for readers navigating complex markets.* Curated Signal in NoiseIn a world overloaded with information, his audience trusts Chamath to filter out distractions. This curated clarity saves time and sharpens focus on what truly matters.* Community of Like-minded Early AdoptersBeyond content, the audience taps into a network of peers with similar ambitions and mindsets, creating a sense of belonging to a high-caliber, forward-thinking group.These advantages form a composite edge - early access, superior analysis, and curated clarity - making Chamath’s offering indispensable for those who want to stay ahead in tech and finance.Chamath’s newsletter gives access to stuff most people can’t get - private market moves and deals that don’t show up anywhere else. That makes it valuable. People don’t care how often the newsletter lands in their inbox. They wait for the big calls that actually move money or change strategy.This creates a kind of mental monopoly. Chamath’s readers get a view that others just don’t have. Scarcity isn’t about being rare for the sake of it. It’s about owning info that gives you a real edge.The business works because of that exclusivity. The price isn’t about volume, but the impact each insight brings. People pay because this access sharpens how they see what’s happening beneath the surface.That’s why the newsletter keeps subscribers hooked and willing to pay. Being part of a small group that catches what most miss feels valuable. When everything else is noise, having that kind of clarity stands out - and it’s worth paying for.（Chamath Palihapitiya’s paid subscriber count does not appear publicly on his Substack About page or in official disclosures. Third-party platforms that track Substack data estimate his paid subscriber base in the range of several hundred to around one thousand, based on subscription pricing, engagement metrics, and ranking position. These figures remain approximations, as only Chamath and Substack hold precise data.）Here’s how to read Chamath Palihapitiya’s Substack Revenue Model diagram.Understanding the Conversion Funnel (Left Side)The diagram starts with over 214,000 free subscribers at the top. This is the total audience that receives Chamath’s public content such as weekly reading lists and high-level notes. Only about 0.47 percent convert into paying subscribers, which means roughly 1,000 people choose to pay for access.The paid tier offers significantly more value, including deep market reports, future trend predictions, and direct group chat access. While the conversion rate is low, the high subscription price of $999 annually or $99 monthly allows the business to earn substantial revenue despite the small paying audience.Business Model Components (Top Right)The model rests on three pillars.* Cognitive Monopoly: Subscribers gain access to exclusive insights in AI, finance, and energy that are not widely available, giving them a perceived market edge.* Decision Offloading: Readers hand over part of their decision-making process, relying on Chamath’s expertise to simplify complex market situations and reduce their cognitive load.* Psychological Refuge: The newsletter offers clarity and calm in an environment flooded with noise, helping readers focus on important issues and maintain mental clarity.Revenue Conversion Flow (Middle)The flow moves from creating high-value premium content to attracting a professional audience. That audience then engages in a premium community space, which strengthens brand authority and loyalty over time.Key Success Factors (Bottom Left)A focus on a small group of high-value clients, high unit pricing, and deep rather than broad coverage drives the business. The high subscription fee offsets the low conversion rate, making the model financially sustainable.Core Value Proposition (Bottom Right)The promise is straightforward: exclusive market insights and expert analysis that help subscribers gain a competitive advantage in complex investment decisions, delivered in a premium community setting.The Bottom LineThis diagram shows how a low-volume, high-ticket subscription model can thrive when paired with scarcity, authority, and a tight focus on delivering market-moving insights to a niche audience willing to pay for them.Gergely Orosz’s（Bestsellers in Technology #1, August 12, 2025） audience gains a clear advantage by cutting through the noise that floods the tech world. His newsletter offers:* Curated ClarityHe sifts through endless updates, technical jargon, and shifting trends, delivering only what matters most. This saves readers from overwhelm and distraction.* Actionable GuidanceBeyond summary, his advice breaks down complex changes into practical steps tech professionals can apply immediately, making information useful rather than j...
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Decoding YC’s Startup Requests
Aug 1000:00:24Tap to summarizeHi I’m Angela 🧸A product growth marketer who exists in the space between caffeine highs and retention lows.For more: Anchor | instagram | XQuoting Melanie Goodman ’s comment under this article, I think it’s a perfect opening:The real magic here is that YC’s Requests aren’t just them saying “we like X”, they’re publishing a structured demand map for systemic inefficiencies. It’s a form of market signalling theory in action - they’re pointing to areas where capital can create network effects faster than incumbents can react. According to CB Insights, 70% of startups fail because they misread market demand or chase low-barrier spaces (cbinsights.com/research…). That’s why YC’s focus on “institutional design” — standardisation, trust protocols, monitoring frameworks — matters so much. These are not MVP-and-hope bets, they’re long-term moats with compounding returns.Which of YC’s highlighted bottlenecks do you think is most underpriced by the market right now?YC’s latest Requests for Startups do more than just list what’s “hot” right now. They trace where money is moving, revealing deeper cracks and opportunities in how the economy actually works. Investors don’t chase every shiny object; they hunt persistent imbalances - those pain points where supply, demand, and incentives don’t line up. For founders, the challenge isn’t copying trends but understanding why these patterns exist and how to build something that lasts beyond the hype. This piece pulls back the curtain on YC’s signals, treating them as clues to a larger system at work.Infrastructure for Multi-Agent Systems: The Real Bottleneck YC Is Betting OnThe following analysis of* how to write effective agent and subagent prompts* how to handle untrusted context* how to monitor and debug these agentsis based on excerpts from YC’s Requests for Startups Fall 2025.* How to write effective agent and subagent promptsPrompts serve as the “instruction language” for multi-agent systems, shaping the quality and direction of agent behaviors. The challenges include:* Diverse agent tasks mean a single template cannot cover every scenario* Subagents need to inherit the parent agent’s intent, but information often gets distorted in transmission* Overly long prompts increase cost and latencyEntry points and opportunities:Build a modular, composable prompt template library that provides standardized samples for different tasks and levels. This reduces communication costs and errors through standard protocols - a classic institutional design problem. Continuous iteration based on user feedback creates a closed-loop optimization system.Recent startups like PromptLayer offer tools to track, version, and optimize prompt templates, showing early market demand. Additionally, some teams use AI to auto-generate prompt variations and run A/B tests, reducing manual overhead and increasing scale.* How to handle untrusted contextIn multi-agent systems, information passed from various subagents may contain errors or malicious data, causing systemic bias or collapse.Entry points and opportunities:Designing multi-layered trust and verification mechanisms is critical. This includes:* Implementing authorization and identity verification between agents to prevent malicious subagents from infiltrating* Using redundancy checks, where multiple agents cross-validate information to improve accuracy* Establishing anomaly detection and rollback policies that trigger human or AI review when suspicious results ariseThis trust architecture resembles risk control systems in finance or law - hard to replicate and with a high barrier to entry. Early investment here can create long-lasting competitive moats.Platforms like ShieldAI（Enterprise） use multi-agent verification and anomaly detection in defense applications, demonstrating how trust frameworks increase system reliability and security. Such trust and risk mitigation layers create high entry barriers and strong defensibility.* How to monitor and debug these agentsManaging hundreds or thousands of agents simultaneously is a nightmare for troubleshooting and performance monitoring. Without effective oversight, user experience degrades and costs soar.Entry points and opportunities:Build dedicated multi-agent monitoring platforms that include:* Real-time log collection and visualization to help teams quickly identify anomalies and bottlenecks* Automated alert systems that notify immediately of performance drops or error spikes* Replay and sandbox environments that allow teams to reproduce issues and test fixesThis requires combining deep technical design with user-friendly interfaces to reduce operational complexity. Moving from manual firefighting to data-driven decision-making is essential to improving system stability and scalability.Companies like Weights & Biases have pioneered experiment tracking for ML workflows, and some have extended this to multi-agent systems, emphasizing the value of observability. Offering user-friendly dashboards to make complex multi-agent behavior transparent is a crucial market need.SummaryAll three challenges boil down to institutional design: establishing standardized protocols and feedback loops, designing trustworthy verification systems, and creating operable governance and monitoring tools. Founders breaking into this space must solve both technical hurdles and organizational pain points to claim a lead in multi-agent system infrastructure.Skill Retraining for the AI EconomyThe AI economy demands a rapid scale-up of skilled tradespeople like electricians and welders to build physical infrastructure. Existing vocational training struggles to keep pace, burdened by slow curricula, uneven quality, and a mismatch with employer needs. This disconnect creates a structural bottleneck that hinders AI’s broader adoption.ChallengeTraining physical skills remotely and at scale is inherently difficult - real-world practice is critical, and traditional classroom models cannot meet the demand. The labor market’s intermediary role falters without verified, trustable signals of worker readiness. Employers hesitate to invest in candidates without reliable proof of skill, and workers face unclear pathways to jobs.Cutting in & OpportunityDevelop a modular, AI-powered training platform combining voice coaching and AR/VR simulations that simulate hands-on practice. Embed real-time assessment via vision models to provide objective feedback. This system transforms opaque skill acquisition into a transparent, data-validated process.Beyond training, the platform must function as a labor market intermediary. Introducing a trust protocol - smart contracts, verified credentials, or reputation systems - creates accountability, ensuring workers’ skills match employer demands. This approach reduces search and verification frictions, aligning incentives for all parties.Case in PointCompanies like Poka and Stride have started integrating AI-driven skill assessments and personalized training to industrial workers,linking learning outcomes directly to job placements. These models demonstrate how tech-enabled intermediation bridges supply-demand gaps efficiently.Why This MattersBuilding this systemic infrastructure goes beyond incremental improvement. It reconfigures labor market dynamics to meet AI-era demands, opening a vast opportunity for startups to capture value as the essential middle layer betwee...
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