Don't Say There's Nothing to Do in a Bear Market, These Four Types of Smart People Are Already Quietly Making Money

marsbitPublicado a 2026-04-16Actualizado a 2026-04-16

Resumen

In a crypto market filled with noise and unproductive debates, opportunities still exist for those who adapt to the new meta. While past trends like Play-to-Earn, Move-to-Earn, and airdrop farming have faded, four current pathways offer real earnings: 1. **X Platform Monetization**: Verified creators can earn $500–$2,000 monthly through X’s revenue-sharing program based on impressions from Premium users. 2. **Ambassador Programs**: Structured programs from projects like Alchemy Pay and Injective offer monthly stable payments (e.g., 200 USDT base) and performance bonuses for community contributions. 3. **Discord Moderators**: Managing Discord servers by answering questions, handling tickets, and banning scammers provides a steady income. 4. **Developer Programs**: Coders can earn through builder initiatives, bounties, and grants. Examples include Zama’s program with 15,000 cUSDT in prizes, Arc’s Architects plan rewarding contributions, and Ink’s grants up to 200,000 USDC for dApp development. The key insight is that opportunities shift with each market phase—from gaming and walking to clicking and now building. Success requires self-assessment: leverage your skills in content creation, community management, or coding instead of waiting for outdated trends. The bear market rewards those who engage actively with their strengths.

Author: Zun

Compiled by: Yuliya, PANews

PANews Editor's Note: In the current Crypto market, many complain that their timelines are filled with noise and meaningless debates. It seems the era of making easy money (like Play-to-Earn, Move-to-Earn, or testnet airdrops) is long gone. However, opportunities haven't disappeared; they've just changed form. Author Zun reviews the cyclical trends of the Crypto market and details several current pathways that can genuinely yield profits. Below is the compiled original text:

Honestly, open your Twitter timeline, scroll for two minutes, what do you see?

  • You'll see people comparing four L2 networks that no one uses;

  • You'll see people posting Crypto influencer tier rankings just to drive engagement;

  • You'll see people spreading misinformation......

So basically, it's mostly noise.

But just because the Twitter timeline seems dead, doesn't mean the opportunities have died with it. Opportunities still exist; they just look completely different from what most people are used to.

Past Trends

If you've been in the Crypto space long enough, you know this market operates in waves. Every cycle, every season, even every quarter brings a completely different Meta (core gameplay). And whoever figures out the current Meta early gets to eat.

Think back to 2021, Play-to-Earn was all the rage. Axie Infinity even became a full-time income source for people in Southeast Asia, with many families in the Philippines participating in Axie scholarship programs. The game was simple: buy NFT characters, play the game, earn tokens, then cash out.

Then Move-to-Earn rose with StepN. Suddenly, everyone was buying NFT sneakers just to earn money by walking. It might sound absurd, but people were indeed making hundreds of dollars a week just from their daily steps. Step App, GetKicks, Walken, and a host of copycats followed. Simply put, if you understood the mechanism and got in early, you could make money.

After that, the NFT era arrived, and flipping jpegs became the most profitable activity in the entire Crypto space. But that era is now over.

Then the era of testnets and airdrop farming began. For nearly a year and a half, the trend was simple: find a project backed by top VCs, use their testnet, interact with their contracts, bridge some funds, and wait to claim your airdrop. It was the simplest Meta ever generated in Crypto. People with no coding skills, no capital, and no social media following were farming five-figure airdrops just by clicking buttons on testnets.

But that era is also fading. Project founders are getting greedy, allocating smaller portions of tokens to airdrops. Besides, the Sybil attack problem is another reason this Meta is ending.

So now we are in a period with no Play-to-Earn trend, no Move-to-Earn trend, and testnet interactions aren't what they used to be. Twitter timelines are full of people arguing over trivial matters, posting engagement bait, or sharing posts about hacks/exploits because that's the only news cycle left in Crypto right now.

Current Hidden Wealth Codes: Four Real Income Sources

But here's what I'm observing: while 90% of Crypto Twitter is busy chasing clout, a small subset of users is quietly making real money.

1. X Platform Monetization:

This might be the most obvious one, but many still underestimate it. X officially dubbed 2026 the "Year of the Creator" and even doubled the creator ad revenue sharing pool. Earnings are primarily based on impressions from verified Premium users. Some Crypto creators are now making anywhere from $500 to $2000 per month just from X's revenue share, without any single sponsorship deal. It won't make you rich, but it's stable income in the current market.

2. Ambassador Programs:

This path is severely underrated. Projects aren't dumping money on random KOLs to shill their tokens anymore. Instead, they are building structured ambassador programs that pay for actual work on a monthly basis. Alchemy Pay offers a base salary of 200 USDT per month plus uncapped performance bonuses. Then Injective has the Ninja Masters program, offering tiered token rewards. These are real jobs with actual pay.

3. Discord Moderators:

I believe a lot of people in this space are making stable income by moderating Discord servers for projects. You just answer questions, manage the community, handle tickets, ban scammers, and get paid. It's that simple.

4. Developer Programs:

This is the one I most want to talk about because I think it's the real opportunity for those with skills, and honestly, it's the path I've chosen for myself.

I want to give a shoutout to @realchriswilder. His profile shows he has around 3000 followers now, and he started with even fewer.

Today, many content creators will tell you to grow your account, post viral tweets, get engagement, build an audience. Honestly, if you want to be a content creator, that's all correct.

But Chris chose a different path based on what he's actually good at. He knows how to code and loves it. So, he started building on various projects and protocols. He joined developer programs and started earning income from that work, not from tweeting.

This is the part most people miss. You don't need to be a content creator to make money in Crypto. You don't even need a huge following. If you can code, the entire ecosystem is filled with opportunities specifically for people like you right now.

Here are some examples of active developer programs:

  • Zama recently launched the Mainnet Season 2 of their Developer Program, offering over 15,000 cUSDT in rewards across three tracks. The Builder track requires delivering a privacy dApp using Zama's protocol; the Bounty track requires building AI agent skills for FHE; and there's a special APAC-focused bounty powered by OpenBuild.

  • Arc also launched their Architects program to recognize active developer contributors. You can earn points by answering technical questions, publishing tutorials or tools, and mentoring other developers. Top contributors get roles like Community Moderators, Meetup Organizers, Technical Speakers, and Regional Leads.

  • Ink (by Kraken) is running their Developer Program with two active tracks. The Spark track offers micro-grants of 500 to 5000 USDC for small projects (like tools, bots, and mini dApps) with a very fast review process. Forge is the flagship track, offering milestone-based grants of up to 200,000 USDC for teams scaling actual products with live traction on Ink.

Core Takeaway and Advice

The reason I'm writing all this is not to give you a checklist and tell you to go do one of these things. It's to get you to think about something more fundamental.

From the inside, every bear market feels the same. The Twitter timeline has nothing good on it, everything changes over time, and the prevailing feeling is that "there's nothing to do." But that's never the truth. What changes between cycles isn't whether opportunities exist, but what form they take.

  • In 2021, opportunity looked like playing video games;

  • In 2022, it looked like walking;

  • In 2023, it looked like clicking buttons on testnets;

  • And in 2026, it looks like building, creating, moderating, and bug hunting. Only the form of the Meta changes; the opportunities don't disappear.

But then you have to look inward and figure out where you actually fit. Not where you wish you fit, not where Crypto Twitter tells you to go. But where your actual skills and situation place you.

If you're good at writing and creating content, the X monetization path and ambassador programs make sense for you. If you're a community-oriented person who enjoys managing and organizing, Discord moderator and community roles are tangible income sources. If you're a developer, those developer programs and bounties are sitting right there for you. If you have security knowledge, the whitehat bounty space is more lucrative than ever.

The worst thing you can do right now is sit there, scroll through the noisy timeline, and conclude that "nothing is left." The people making money in this bear market aren't sitting around waiting for the next testnet Meta. They figured out what they're good at, found the part of the ecosystem that values that skill, and are quietly putting in the work!

Preguntas relacionadas

QAccording to the article, what are the four real sources of income that smart people are using to make money during the bear market?

AThe four real sources of income are: 1. X platform monetization, 2. Ambassador programs, 3. Discord moderators, and 4. Developer programs.

QWhat does the author suggest is the key difference between past crypto trends (like Play-to-Earn) and the current opportunities?

AThe author states that the opportunities have not disappeared, but their form has changed. The 'Meta' (core playstyle) is different in each cycle. In 2021 it was playing games, in 2022 it was moving, in 2023 it was clicking buttons on testnets, and now it is about building, creating, managing, and finding bugs.

QWhat is the main piece of advice the author gives for someone looking to find their place in the current crypto market?

AThe author advises individuals to look at themselves and figure out where they actually fit based on their real skills and situation, not where they wish they were or where crypto Twitter tells them to go. They should identify what they are good at and find the area in the ecosystem that values that skill.

QName one specific developer program mentioned in the article and describe one of its tracks or rewards.

AThe Ink developer program (by Kraken) was mentioned. It has a 'Spark' track that offers micro-grants of 500 to 5000 USDC for small projects like tools, bots, and mini dApps, with a very fast review process.

QWhat reason does the author give for the decline of the testnet and airdrop interaction meta?

AThe author states that the testnet and airdrop interaction meta is fading because project founders became greedy, allocating smaller portions of tokens to airdrops, and the Sybil attack problem was another reason that ended this meta.

Lecturas Relacionadas

It Took Me a Year to See the Bitter Truth About Agent Payments

After a year building infrastructure for the Agent economy, engaging with major players like Stripe, Visa, and Coinbase, the author shares a sobering analysis of the current state of Agent payments. The core finding is a stark lack of genuine, immediate demand across most envisioned use cases. The article breaks down four key market segments: 1. **Agent-to-Merchant (Consumer Shopping):** For most product categories (e.g., clothing, electronics), conversational AI shopping is a step backwards from visual e-commerce interfaces. While agents excel at understanding needs, they can't replace side-by-side product comparison. Real merchant interest is defensive "Agent Engine Optimization," not driven by current customer demand. Potential exists for high-frequency, low-decision purchases (like food delivery) or navigating complex store UIs, but these require massive B2C distribution channels dominated by giants like Amazon. 2. **Agent-to-API (Developer Services):** Developers already have subscriptions and billing relationships for APIs (compute, data). Prepaid balances solve micro-payment issues for low transaction volumes. A deeper structural problem is that major SaaS vendors' business models rely on enterprise contracts, resisting granular pay-per-call pricing. While protocols like MPP and x402 serve the long tail of niche services, this market is small and developers are historically low-willingness-to-pay. 3. **Agent-to-Agent:** This remains largely theoretical with minimal transaction volume. While it represents a long-term bet on a fundamentally new transaction infrastructure (sub-second, micro-penny to million-dollar, multi-party settlements), it does not constitute a present market. 4. **Agent-to-Finance:** This is the only category with existing, paying demand. Integrating AI into financial workflows (trading, portfolio management) is a natural evolution and enables new capabilities like autonomous rebalancing. However, competition favors established, regulated institutions. The "real problem" is not moving money between agents, but the broader challenge of **coordination**—orchestrating work between agents and humans, verifying outcomes, and settling results. Payment is just one component of settlement, which is itself part of coordination. Companies that solve the coordination layer will subsume payment, not the other way around. While well-funded incumbents build defensively for a long-term future, startups must find where the market is today—which, for the author's team, lies outside these four categories in an area of real, growing, and underserved activity.

marsbitHace 3 min(s)

It Took Me a Year to See the Bitter Truth About Agent Payments

marsbitHace 3 min(s)

It Took Me a Year to See the Hard Truth About Agent Payments

**Title: It Took Me a Year to See the Hard Truth About Agent Payments** Over the past year, I've worked on infrastructure for the Agent economy, engaging with major players like Stripe, Visa, Coinbase, and numerous startups. The findings reveal a stark reality: genuine, widespread demand for Agent-based payments does not yet exist. **Key Observations:** * **Agent-to-Merchant (Shopping):** The user experience for AI shopping often falls short, especially for visual product discovery. While AI excels at understanding needs, conversational interfaces can't yet replace browsing and comparing multiple products visually. Current merchant interest is largely defensive ("Agent Engine Optimization") for a future that hasn't arrived. High-frequency, low-friction purchases (like food delivery) are potential fits, but lack open APIs and face high AI inference costs. Simpler, more affordable, or cross-language interactions for complex UIs are a niche opportunity but require massive consumer distribution to scale. * **Agent-to-API (Developer Tools):** Developer payment needs for APIs (computing, data, models) are already met through subscriptions and prepaid credits. The core challenge is not payment friction but supplier economics: most large SaaS providers prefer enterprise contracts over micropayments for API calls. Protocols like MPP and x402 suit the long-tail of smaller services but cater to a developer market historically reluctant to pay for these tools. Major infrastructure needs at the top of the stack are already being addressed. * **Agent-to-Agent (Machine Commerce):** This is a long-term vision with almost no current transaction volume. While a future with high-speed, high-frequency, multi-party machine-to-machine transactions would require novel infrastructure, it remains theoretical. The market is not here yet. * **Agent-to-Finance:** This is the only category with clear, present demand. Financial professionals and DeFi users already pay for tools, and AI augmentation is a natural evolution. Autonomous AI agents can enable entirely new financial strategies. However, competition is fierce from established, regulated incumbents who can more easily layer AI onto their existing products. **The Core Insight:** Companies, especially giants with long time horizons, are building defensively for a potential future of mass machine commerce. For them, early investment is a low-cost hedge. For startups, the current market reality is different. The primary challenge isn't just moving money between agents (payments). The larger, unsolved problem is **orchestration** – coordinating work between agents and humans, verifying outcomes, and then settling. Payment is just a part of settlement, which is just a part of orchestration. Companies that solve the orchestration problem will subsume payments, not the other way around. After a year of building, we see the real, growing, and underserved market opportunity lies in this broader domain of orchestration.

链捕手Hace 26 min(s)

It Took Me a Year to See the Hard Truth About Agent Payments

链捕手Hace 26 min(s)

Claude Opus 4.8 Finds a $4.5 Billion Bug: The AI Era is Mass-Producing Hackers

A researcher discovered a critical "infinite mint" vulnerability in the Zcash cryptocurrency's Orchard protocol using Claude Opus 4.8, leading to a swift fix but also a 50% market drop, erasing billions in value. This incident highlights a new era where powerful, accessible AI models are dramatically lowering the barrier to finding software vulnerabilities. Previously, the security community feared specialized models like Claude Mythos Preview, capable of finding decades-old zero-day exploits. The Zcash case, however, involved a publicly available, general-purpose model. This shift makes advanced security auditing—and attack capabilities—accessible to far more people, not just experts. The mass democratization of vulnerability discovery brings a dual challenge: a flood of low-quality, AI-generated false reports that overwhelm maintainers, and the real, rapid uncovering of deep, dangerous bugs. Open-source projects, often understaffed and unfunded, are particularly vulnerable to this "attention DDoS." The article cites examples like curl shutting down its bug bounty program due to the unsustainable workload. Our perceived digital safety has often been luck, relying on the high cost and effort required to find deeply hidden flaws in complex systems, as seen with historical vulnerabilities like Heartbleed or Baron Samedit. AI changes this cost structure, effectively "mass-producing flashlights" to illuminate every corner of our codebase. While large companies operate extensive security chains involving external white-hat hackers and massive defensive operations, the global cybersecurity workforce faces a severe shortage, especially of experienced personnel capable of analyzing complex threats and coordinating fixes. The core dilemma emerges: AI makes *finding* bugs cheap and scalable, but *fixing* them remains a slow, expensive, and human-intensive process. The article concludes that AI won't destroy the internet but acts as a bright light, revealing that our digital existence is not inherently secure but is precariously maintained by ongoing human effort. The true cost in the AI era may not be discovery, but whether there will be enough people left willing and able to do the hard work of repair.

marsbitHace 59 min(s)

Claude Opus 4.8 Finds a $4.5 Billion Bug: The AI Era is Mass-Producing Hackers

marsbitHace 59 min(s)

Codex Goal Mode Usage Guide: How to Make AI Continuously Pursue a Specific Objective

"Codex Goal Mode: How to Make AI Work Continuously Toward a Specific Goal" OpenAI's Codex "goal mode" (/goal) transforms the AI from a reactive code assistant into a proactive execution agent capable of working autonomously for hours or even days to achieve a defined objective. To maximize its effectiveness, follow these key principles: 1. **Define Clear, Verifiable Exit Criteria:** The goal prompt should be a concise, measurable success condition, not a lengthy specification. Use quantifiable metrics like "reduce build time by 30%" or "achieve 100% test parity." 2. **Provide Initial Guidance and Tools:** Direct Codex toward likely problem areas and specify available tools (e.g., browsers, testing environments) to prevent it from exploring unproductive paths. 3. **Enable Progress Measurement:** Equip Codex with ways to track advancement, such as creating comparison tools for visual tasks or evaluation sets, ensuring it can gauge its own progress. 4. **Use a Realistic Execution Environment:** For tasks like performance optimization, provide access to environments that closely mimic production (e.g., similar configs, databases) to yield valid results. 5. **Be Cautious with Visual Goals:** Avoid vague "pixel-perfect" instructions. Instead, supplement visual references with functional checklists or design system specifications to prevent Codex from obsessing over minor details. 6. **Implement Progress Tracking:** For long-running tasks, have Codex commit code to draft PRs, update progress documents, or send Slack updates to maintain visibility into its work. 7. **Review and Consolidate Results:** Once the goal is met, instruct Codex to review its work, clean up ineffective experimental code, and reflect on what strategies succeeded or failed. Ultimately, using goal mode shifts the developer's role from writing prompts to managing a persistent engineering agent—defining objectives, establishing metrics, configuring environments, and conducting final reviews.

marsbitHace 2 hora(s)

Codex Goal Mode Usage Guide: How to Make AI Continuously Pursue a Specific Objective

marsbitHace 2 hora(s)

Trading

Spot
Futuros

Artículos destacados

Cómo comprar PEOPLE

¡Bienvenido a HTX.com! Hemos hecho que comprar ConstitutionDAO (PEOPLE) sea simple y conveniente. Sigue nuestra guía paso a paso para iniciar tu viaje de criptos.Paso 1: crea tu cuenta HTXUtiliza tu correo electrónico o número de teléfono para registrarte y obtener una cuenta gratuita en HTX. Experimenta un proceso de registro sin complicaciones y desbloquea todas las funciones.Obtener mi cuentaPaso 2: ve a Comprar cripto y elige tu método de pagoTarjeta de crédito/débito: usa tu Visa o Mastercard para comprar ConstitutionDAO (PEOPLE) al instante.Saldo: utiliza fondos del saldo de tu cuenta HTX para tradear sin problemas.Terceros: hemos agregado métodos de pago populares como Google Pay y Apple Pay para mejorar la comodidad.P2P: tradear directamente con otros usuarios en HTX.Over-the-Counter (OTC): ofrecemos servicios personalizados y tipos de cambio competitivos para los traders.Paso 3: guarda tu ConstitutionDAO (PEOPLE)Después de comprar tu ConstitutionDAO (PEOPLE), guárdalo en tu cuenta HTX. Alternativamente, puedes enviarlo a otro lugar mediante transferencia blockchain o utilizarlo para tradear otras criptomonedas.Paso 4: tradear ConstitutionDAO (PEOPLE)Tradear fácilmente con ConstitutionDAO (PEOPLE) en HTX's mercado spot. Simplemente accede a tu cuenta, selecciona tu par de trading, ejecuta tus trades y monitorea en tiempo real. Ofrecemos una experiencia fácil de usar tanto para principiantes como para traders experimentados.

444 Vistas totalesPublicado en 2024.12.12Actualizado en 2026.06.02

Cómo comprar PEOPLE

Discusiones

Bienvenido a la comunidad de HTX. Aquí puedes mantenerte informado sobre los últimos desarrollos de la plataforma y acceder a análisis profesionales del mercado. A continuación se presentan las opiniones de los usuarios sobre el precio de PEOPLE (PEOPLE).

活动图片