Startup vs Big Tech vs Agency and Where JavaScript Developers Actually Earn More and Grow Faster
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Every JavaScript developer faces this decision at some point. You have built up your skills in React, Node.js, TypeScript, and modern frameworks. You have shipped products and solved real problems. Now comes the question that keeps appearing in every career conversation, every salary negotiation, and every late night scroll through job boards.
Should you join a startup, aim for Big Tech, or work at a digital agency?
The answer is not as obvious as the loudest voices on social media would have you believe. Startup evangelists will tell you that anything else is selling your potential short. Big Tech recruiters will show you total compensation packages that seem almost unreal. Agency veterans will talk about the variety and client exposure that builds skills faster than any single product ever could.
The truth is messier, more personal, and more dependent on where you are in your career than any blanket advice can capture. This guide breaks down the real differences based on actual compensation data, growth trajectories, and the lived experiences of JavaScript developers who have worked across all three paths.
By the end you will understand not just which path pays more on paper, but which path actually accelerates your career based on your specific situation, goals, and tolerance for different types of risk.
The Compensation Reality Nobody Talks About Honestly
Let us start with money because that is what most developers search for first, and because the numbers are more nuanced than headline figures suggest.
Big Tech compensation in 2026 sits at levels that still surprise developers who have not researched it carefully. According to Glassdoor data from December 2025, JavaScript developers at major tech companies earn total compensation packages that significantly exceed market averages. Entry level engineers at companies like Google, Meta, Amazon, and Microsoft receive packages between $150,000 and $200,000 in total compensation when you combine base salary, stock grants, and bonuses.
The numbers scale dramatically with experience. Senior engineers at these companies routinely see total compensation between $280,000 and $450,000. Staff and principal levels can exceed $600,000 annually. These are not outlier figures. They represent the actual compensation bands that these companies use for JavaScript focused roles in web development, frontend infrastructure, and full stack positions.
Startup compensation tells a different story that requires more careful analysis. Base salaries at startups typically run 15 to 25 percent lower than Big Tech equivalents. Wellfound data shows average JavaScript developer salaries at startups around $100,000 to $120,000 for mid level roles. Early stage startups often struggle to exceed $130,000 in base salary even for senior developers.
The equity component is where startup math gets complicated. A 0.25% equity stake at a seed stage startup valued at $10 million represents $25,000 in paper value. If that company reaches a $1 billion valuation, that same stake becomes $2.5 million. If the company fails, it becomes zero. Most startups fail. The expected value calculation requires honest assessment of company quality, market timing, and your own ability to evaluate these factors accurately.
Agency compensation falls into a middle ground with its own characteristics. JavaScript developers at digital agencies typically earn between $80,000 and $140,000 depending on the agency's market positioning and the developer's seniority. Top tier agencies serving enterprise clients and building complex web applications push toward the higher end. Smaller agencies doing primarily marketing sites and WordPress customization sit at the lower end.
Agencies rarely offer meaningful equity. Profit sharing and project bonuses sometimes supplement base salary, but these additions rarely match the upside potential of startup equity or the reliable appreciation of Big Tech stock grants.
The compensation comparison becomes even more complex when you factor in benefits, work hours, and job security. Big Tech provides comprehensive benefits packages including premium health insurance, generous 401k matching, parental leave, and various perks that add $20,000 to $40,000 in annual value. Startups vary wildly in benefits quality. Agencies typically offer standard benefits that fall between the two extremes.
What Big Tech Actually Offers JavaScript Developers in 2026
Beyond compensation, Big Tech provides specific advantages that matter for different types of developers at different career stages.
Technical infrastructure and scale represent the most unique Big Tech advantage. Working on systems that serve billions of users creates engineering challenges that simply do not exist at smaller companies. A JavaScript developer on Meta's web infrastructure team encounters performance optimization problems at scales that teach lessons applicable nowhere else. When your code runs in hundreds of data centers simultaneously, you learn to think about systems in ways that fundamentally change your engineering approach.
Specialization depth reaches levels at Big Tech that startups and agencies cannot match. These companies have enough engineers to staff entire teams focused on narrow technical domains. You might spend years working exclusively on JavaScript performance tooling, accessibility infrastructure, design systems, or build optimization. This depth creates genuine expertise that commands premium compensation and opens doors to technical leadership positions that do not exist at smaller organizations.
The tradeoff is obvious. Deep specialization means narrower breadth. A Big Tech engineer might become world class at React Server Components while never touching database design, DevOps pipelines, or product strategy. Whether this tradeoff makes sense depends entirely on your career goals.
Career ladders at Big Tech are well defined with documented expectations at each level. You know what is required to move from L4 to L5 at Google or from E4 to E5 at Meta. This clarity helps ambitious developers plan their progression and advocate for promotions with specific evidence. The flip side is bureaucracy. Promotions depend on demonstrating impact at the next level before receiving the title and compensation, which sometimes creates frustrating situations where you perform senior work at mid level pay for extended periods.
Mentorship and learning resources exceed what smaller organizations can provide. Big Tech companies run internal training programs, host regular tech talks, maintain extensive documentation, and employ experienced engineers specifically to mentor others. A junior JavaScript developer at Google has access to engineers who literally wrote the books on modern web development. This accelerates learning in ways that compound over an entire career.
The downsides are equally concrete. Bureaucracy slows everything down. Launching a feature might require approvals from product, legal, privacy, security, accessibility, and internationalization teams. Projects that would ship in weeks at a startup take months or quarters. Some developers find this frustrating beyond tolerance. Others appreciate the rigor and understand that at global scale, moving fast and breaking things causes real harm to real people.
Impact visibility feels abstract at Big Tech in ways that bother some developers. You might work on features used by billions of people, but your individual contribution represents a tiny fraction of a massive system. Some developers feel like replaceable components in enormous machines. Others find meaning in contributing to products that shape how humanity communicates and accesses information.
What Startups Actually Offer JavaScript Developers
Startup culture has accumulated so much mythology that separating reality from fantasy requires deliberate effort. The truth is that startups offer genuine advantages that Big Tech cannot replicate, alongside genuine disadvantages that startup advocates minimize.
Ownership at startups means something fundamentally different than at Big Tech. As a JavaScript developer at an early stage startup, you might own entire features or even entire product areas. You make architectural decisions that shape the company's technical direction for years. You see the direct impact of your code on metrics that determine whether the company survives. This ownership accelerates growth in ways that take much longer at Big Tech, where you might own a small piece of a large system rather than large pieces of a small system.
Learning breadth at startups exceeds what Big Tech typically provides. A startup JavaScript developer often handles frontend and backend work, sets up CI/CD pipelines, configures monitoring and alerting, participates in product decisions, and occasionally helps with hiring. This breadth creates versatile engineers who understand how all the pieces fit together. The tradeoff is less depth in any single area and less access to world class experts in specific domains.
Speed defines startup culture in ways that Big Tech cannot match. An idea discussed on Monday might ship on Friday. This velocity feels exhilarating to some developers and terrifying to others. Fast shipping means less polish, more bugs in production, and more technical debt accumulating. It also means faster learning, quicker feedback loops, and the ability to iterate toward product market fit before funding runs out.
Equity represents the asymmetric bet that attracts developers to startups despite lower base salaries. Big Tech offers consistent, predictable compensation. Startups offer the possibility of life changing wealth in exchange for accepting the probability of nothing. Early employees at companies like Stripe, Airbnb, and Figma became wealthy beyond what Big Tech could offer on any timeline. Early employees at thousands of failed startups have nothing to show for years of work at below market salaries.
The risks at startups are real and often underestimated by developers who have not experienced them. Startups fail. Not occasionally, not sometimes, but regularly. The majority of startups fail. Even well funded startups with impressive teams and seemingly strong products fail. When a startup fails, employees lose their jobs, their equity becomes worthless, and they start over. The psychological toll of pouring yourself into something that disappears can be significant.
Instability at startups extends beyond company failure. Pivots redirect entire engineering efforts toward new directions, sometimes invalidating months of work. Funding crunches lead to layoffs. Founders make decisions that prioritize survival over employee wellbeing. The startup experience can involve significant chaos that Big Tech's structure insulates against.
What Digital Agencies Actually Offer JavaScript Developers
Digital agencies occupy a strange position in developer career conversations. They are often dismissed as lesser options by developers focused on Big Tech or startups. This dismissal misses genuine advantages that agencies provide, particularly for certain career stages and priorities.
Variety defines agency work in ways that product companies cannot match. An agency JavaScript developer might work on an ecommerce platform for a retailer in January, a media streaming application for a broadcaster in April, and a financial dashboard for a bank in August. This rotation builds pattern recognition across industries and project types. You see how different organizations approach similar problems. You learn to onboard quickly and deliver value on unfamiliar codebases. These skills transfer well to consulting, contracting, and leadership roles later in a career.
Client exposure at agencies provides business context that product company developers often lack. You sit in meetings with marketing directors, operations managers, and executives who explain their business problems. You learn to translate technical capabilities into business outcomes. You develop communication skills that many pure product developers never build. This business acumen becomes increasingly valuable at senior levels where technical skills alone no longer suffice for career advancement.
Title progression at agencies often moves faster than at Big Tech. Smaller organizations have shorter promotion pipelines. You might reach Senior Developer in three years at an agency versus five or six at Google. These titles do not directly translate across company types, but they affect how recruiters find you and how future employers perceive your experience level.
Portfolio building at agencies produces tangible work samples that help with future job searches. Big Tech developers often cannot show their work due to confidentiality agreements. Startup developers might have their work disappear when companies fail. Agency developers typically complete projects that launch publicly and can be referenced for years afterward.
The downsides of agency work are significant for developers who prioritize certain things. Technical depth often suffers because projects end before you can go deep. You implement features quickly and move on before optimizing them thoroughly. Code quality varies by client budget and timeline pressure. Some projects feel like assembly line work, building similar things repeatedly with minor variations.
Compensation ceilings at agencies sit lower than Big Tech or successful startup outcomes. Agency economics depend on billing rates and utilization, which constrain how much they can pay developers relative to the value those developers create. Senior agency developers might earn $140,000 to $160,000, which represents the ceiling rather than a midpoint. Big Tech senior developers often start above these numbers.
How Career Growth Actually Differs Across These Paths
Career growth means different things to different developers. Some optimize for title progression. Some optimize for compensation growth. Some optimize for skill acquisition. Some optimize for increasing responsibility and scope. The three paths accelerate these dimensions differently.
Title progression typically happens fastest at agencies, followed by startups, then Big Tech. Agency developers can reach senior titles in two to four years. Startup developers often achieve senior titles in three to five years, partly because titles matter less when you are one of ten engineers. Big Tech developers typically require five to eight years to reach senior levels, with principal and staff levels taking significantly longer.
Compensation growth often moves fastest at Big Tech when you factor in equity appreciation. A developer who joins Google at L3 and reaches L6 over ten years might see their total compensation triple or quadruple. Startup compensation growth depends entirely on company outcomes, which could mean explosive growth or nothing. Agency compensation grows steadily but with lower ceilings.
Skill acquisition speed depends on what skills you are trying to acquire. Big Tech accelerates deep specialization in specific technical domains. Startups accelerate breadth across multiple disciplines and ownership mentality. Agencies accelerate client management, rapid delivery, and cross industry pattern recognition.
Responsibility growth often moves fastest at startups where small teams mean significant individual impact quickly. A developer might lead a team of three after eighteen months at a startup. The same developer at Google might require five or more years before managing anyone, and might remain an individual contributor indefinitely by choice or circumstance.
The developers who grow fastest across all dimensions share certain characteristics regardless of which path they choose. They seek challenging projects actively rather than waiting for interesting work to find them. They build relationships with senior people who can mentor and sponsor them. They make their work visible to decision makers. They learn the skills adjacent to their current role rather than staying narrowly focused. These behaviors compound over time and matter more than which company type you work for.
The Interview Process Differences That Shape Your Options
Getting jobs at startups, Big Tech, and agencies requires different preparation and presents different challenges. Understanding these differences helps you allocate preparation time effectively.
Big Tech interviews follow predictable patterns that reward specific preparation. You will face algorithmic coding challenges on whiteboards or shared editors. You will face system design questions asking you to architect large scale systems. You will face behavioral questions probing how you handled past situations. These interviews have known formats with extensive preparation resources available. Developers who prepare systematically pass Big Tech interviews at much higher rates than those who wing it. The bar is high but learnable.
Startup interviews vary widely with less standardization. Some startups mimic Big Tech processes. Others emphasize take home projects that simulate actual work. Others conduct informal conversations trying to assess cultural fit and problem solving orientation. The unpredictability makes preparation harder. General skills matter more than format specific preparation. Demonstrating genuine interest in the company's problem space often matters significantly at startups where hiring managers want missionaries rather than mercenaries.
Agency interviews typically emphasize portfolios and practical skills over algorithmic puzzles. You might walk through past projects explaining your technical decisions. You might complete practical exercises building components or solving realistic problems. Soft skills matter more visibly in agency interviews because client interaction is part of the job. Presenting work clearly and communicating confidently influence hiring decisions alongside technical competence.
Your interview preparation strategy should align with which path you are targeting. Big Tech requires dedicated algorithmic practice that startups and agencies rarely demand. Startups require demonstrating passion for specific problem spaces. Agencies require portfolios and client presentation skills.
Which Path Fits Different Career Stages
The optimal path often changes as your career evolves. What makes sense at year one differs from what makes sense at year ten.
Early career developers often benefit from Big Tech despite lower titles. The mentorship, structure, and learning resources accelerate skill development significantly. Working alongside experienced engineers on complex systems builds foundations that serve the rest of your career. The brand recognition of Big Tech on your resume opens doors for years afterward. The financial stability provides runway to learn without desperation clouding your judgment.
Mid career developers have the most freedom to optimize for different outcomes. Those who have built solid technical foundations can extract maximum value from startup equity by joining promising companies at stages where their experience commands meaningful grants. They can also leverage Big Tech experience into senior roles with significant compensation at established companies. Or they can move into agency leadership positions where their breadth of experience translates into technical director roles.
Senior developers often face the startup versus Big Tech choice most acutely. Staying at Big Tech means comfortable compensation and gradually increasing scope within large organizations. Joining startups means potentially multiplying wealth through equity while accepting real failure risk. Some senior developers solve this by joining late stage startups with reduced risk profiles, accepting smaller equity percentages in exchange for higher probability of eventual value.
Developers approaching leadership transitions should consider which path provides relevant experience. Future engineering managers benefit from Big Tech's management structures and training programs. Future startup founders benefit from startup experience seeing how early stage companies actually operate. Future agency principals or consultants benefit from agency exposure to client dynamics and business development.
The Work Life Balance Reality Across These Paths
Discussions of work life balance often devolve into stereotypes that do not match reality's complexity. Startups supposedly consume your life. Big Tech supposedly maintains boundaries. Agencies supposedly have death march deadlines. Each stereotype contains truth while missing important nuance.
Big Tech work life balance varies by team more than by company. Google has teams that work 35 hours weekly and teams that work 60. Amazon's reputation for intensity reflects real patterns but not universal experience. The research phase before accepting any offer should include asking current team members directly about typical hours and on call expectations.
Startup work life balance correlates with funding stage and company culture. Seed stage startups often demand intense hours because survival requires shipping faster than resources should allow. Series C and beyond startups sometimes achieve reasonable balance as teams grow and responsibilities distribute more evenly. Founder philosophy matters enormously. Some founders model sustainable hours. Others celebrate all nighters as demonstrations of commitment.
Agency work life balance depends on account management and business model. Agencies that scope projects accurately and push back on unreasonable client requests maintain balance. Agencies that overpromise and underscope create brutal crunch periods for their developers. Some agencies have seasons of intensity around campaign launches or product launches followed by recovery periods. Others have consistent intensity driven by constant new business pressure.
Remote work has changed these dynamics across all three paths. Geographic flexibility allows living in lower cost areas while earning higher salaries pegged to expensive markets. The tradeoff includes isolation, harder relationship building, and timezone challenges on distributed teams. All three paths now offer remote options widely, though Big Tech and startups have embraced remote work more completely than agencies that sometimes value in person collaboration with clients.
Making the Decision Based on Your Actual Priorities
The framework for choosing between paths depends on honestly assessing what you actually want rather than what you think you should want.
If you optimize for compensation certainty, Big Tech wins clearly. The packages are larger, the equity is liquid from day one, and the variance is low. You know what you will earn. You can plan financially with confidence. You can buy a house knowing your income is predictable.
If you optimize for compensation upside with acceptable risk, startups offer asymmetric returns that Big Tech cannot match. The expected value calculation depends on your ability to select promising companies, which itself depends on experience and judgment that develops over time. Most developers are not good at picking winning startups, which is important to acknowledge honestly.
If you optimize for skill breadth and variety, agencies provide exposure to more projects, industries, and problem types than product companies offer. Startups also provide breadth through necessity, though with more depth in your specific company's domain.
If you optimize for skill depth, Big Tech provides resources, specialization opportunities, and access to world class practitioners that smaller organizations cannot match. Nobody else has teams dedicated purely to JavaScript performance optimization or accessibility tooling infrastructure.
If you optimize for title progression speed, agencies and startups promote faster than Big Tech, though the titles mean different things in different contexts. A Senior Developer at a 10 person agency is not the same as a Senior Software Engineer at Google in terms of expectations, scope, or transferable credibility.
If you optimize for long term career options, Big Tech brand recognition and the skills developed there open more doors later. Starting at Google and moving to a startup is easier than the reverse path. The credibility transfers in one direction more readily than the other.
If you optimize for impact visibility, startups provide clearer lines between your work and company outcomes. Your contributions matter visibly when you are one of twenty engineers rather than one of twenty thousand. This visibility can be motivating or stressful depending on your personality.
The Hidden Factors That Actually Determine Satisfaction
Beyond compensation, growth, and balance, certain factors predict satisfaction regardless of which path you choose.
Manager quality matters more than company type. A great manager at an agency provides better experience than a terrible manager at Google. Assess potential managers carefully during the interview process. Ask about their management philosophy. Talk to their current reports if possible. Your relationship with your direct manager affects your daily experience more than almost any other factor.
Team composition affects daily experience profoundly. You will work alongside these people for years potentially. Their technical standards become your environment. Their interpersonal dynamics become your social context. Meeting potential teammates should influence your decision as much as compensation and company prestige.
Problem space interest determines whether work feels meaningful or mechanical. A developer passionate about developer tools will find more meaning at a tools focused startup than at an agency building marketing sites regardless of compensation differences. Match the company's problem space to your genuine interests rather than forcing enthusiasm for what happens to offer the best compensation.
Technical stack alignment matters more at startups and agencies where you might work on the same stack for years. Big Tech often has enough internal mobility to switch stacks. Smaller organizations have the stack they have, and changing it means changing jobs.
Compensation Negotiation Dynamics at Each Path
Negotiation operates differently across these paths, and understanding the differences increases your leverage significantly.
Big Tech negotiation benefits from competition between companies. Getting offers from multiple Big Tech companies creates leverage because recruiters know candidates compare packages directly. The leveling decision often matters more than base salary negotiation because compensation bands have significant ranges. Push for higher leveling before negotiating within a level. A difference of one level can mean $50,000 or more in annual compensation.
Startup negotiation involves tradeoffs between salary and equity that do not exist at Big Tech. Accepting lower salary for more equity makes sense if you believe in the company strongly. Negotiate for accelerated vesting or additional grants tied to performance milestones. Understand the company's total share count and valuation to assess whether equity offers represent meaningful percentages or diluted scraps.
Agency negotiation typically has less flexibility than Big Tech due to thinner margins. Focus on non salary elements like professional development budgets, conference attendance, remote work flexibility, or title that cost the agency less than equivalent salary increases.
Across all paths, understanding your market value and negotiation tactics provides essential leverage. Research compensation data for your experience level, location, and specialty before any negotiation conversation.
Building a Career That Spans Multiple Paths
The most successful JavaScript developer careers often include experience across multiple paths rather than staying in one lane forever. Strategic movement between paths creates unique value that pure specialists lack.
A common pattern starts at Big Tech to build foundations and credentials, then moves to startups during peak career years when the risk tolerance is highest and the potential equity upside is greatest, then returns to Big Tech or joins larger companies for stability as family and financial responsibilities grow. This pattern optimizes differently at each stage of life.
Another pattern starts at agencies to build breadth and portfolio quickly, transitions to startups to go deeper on specific products, then leverages that combined experience into Big Tech senior roles that would have been harder to reach directly from agency work alone.
The key is recognizing that each path develops different capabilities. Strategically combining them creates uniquely valuable profiles that pure Big Tech lifers or pure startup people do not possess. The developer who has shipped products at Google scale, survived startup chaos, and managed client relationships at agencies brings perspectives that each individual path cannot provide.
What the Job Market Looks Like Right Now
The 2026 market for JavaScript developers reflects broader tech dynamics that affect all three paths differently.
Big Tech hiring has contracted from pandemic era peaks. Companies like Google, Meta, and Amazon have conducted layoffs and slowed hiring significantly. Competition for remaining positions has increased. The bar has risen. Candidates who would have received offers in 2021 face rejection in 2026. However, Big Tech continues hiring selectively for specific technical areas, particularly around AI integration, platform infrastructure, and developer experience tooling.
Startup hiring remains active but more discriminating than during the funding boom. Investors are more cautious, which means startups have less runway and hire more carefully. The era of hiring anyone who could spell JavaScript has ended. Startups want proven contributors who can deliver immediately rather than projects requiring extensive ramp up time.
Agency hiring has stayed relatively stable because agency business models respond to client demand rather than venture capital sentiment. Digital transformation continues regardless of tech market cycles. Companies still need websites, applications, and digital experiences. Agencies that serve enterprise clients particularly continue hiring at steady rates.
Finding the right opportunities across all three paths requires active searching rather than waiting for recruiters. Platforms like jsgurujobs.com specialize in JavaScript developer positions across startups, enterprises, and agencies, making it easier to compare opportunities across paths simultaneously rather than searching multiple generic job boards.
The Decision Framework That Actually Works
After examining all these dimensions, a practical framework emerges for making this decision well.
First, assess your financial situation honestly. If you have significant debt, dependents relying on your income, or health conditions requiring robust insurance, Big Tech's stability and benefits deserve heavy weighting. If you have savings runway, support systems, and genuine tolerance for variability, startups become more viable options.
Second, assess your career stage. Early career developers usually benefit from Big Tech structure and mentorship. Mid career developers have the most freedom to optimize for different outcomes. Late career developers often value stability unless they have specifically prepared for startup risk through savings and skill development.
Third, assess your personality honestly. Do you thrive in ambiguity or crave clarity? Do you prefer deep specialization or broad variety? Do you want to manage people eventually or remain deeply technical? Do you want your work visible or are you comfortable contributing to vast systems where individual impact is hard to trace?
Fourth, assess current market conditions. When Big Tech is hiring aggressively, the window to get in is wider. When startups are flush with funding, equity packages are richer. When agencies are winning major accounts, project work is abundant and interesting. Timing matters even if it should not.
Fifth, assess specific opportunities rather than paths in the abstract. The right startup beats the wrong Big Tech team. The right agency beats the wrong startup. Evaluate actual offers against each other rather than making abstract path decisions before you have concrete options to compare.
Where JavaScript Developers Should Go in 2026
There is no universal answer. The right choice depends on your specific situation, priorities, and risk tolerance.
Big Tech remains the best choice for developers who prioritize compensation certainty, want access to world class engineering practices and mentorship, and can tolerate bureaucracy in exchange for stability. The current market makes getting in harder, but the payoff for those who do remains substantial.
Startups remain the best choice for developers who want ownership, equity upside potential, and environments where individual contributions visibly shape outcomes. The current market requires more selectivity about which startups to join, but the fundamental startup value proposition persists for those who can identify good opportunities.
Agencies remain the best choice for developers who want variety, client exposure, faster title progression, and portfolio building opportunities. The current market provides steady demand for digital services that keeps agency hiring consistent while other segments fluctuate.
Your career will likely span multiple paths over time. Making a deliberate choice now does not lock you in forever. It positions you for the next three to five years, after which you will have new information, new skills, and new priorities that might suggest a different direction.
The worst choice is making no choice at all, drifting into whatever opportunity appears first without considering whether it aligns with your goals. The second worst choice is making a decision based on what you think you should want rather than what you actually want when you are honest with yourself.
Be honest about your priorities. Research specific opportunities thoroughly. Make a deliberate decision. Then commit fully to extracting maximum value from whatever path you choose.
The JavaScript market offers all three paths. The question is which one offers you specifically the best match for this specific chapter of your career.
Choose deliberately. Execute fully. Reassess as circumstances change.
And when you are ready to explore what is actually available, start with resources that understand the JavaScript ecosystem specifically rather than generic job boards that bury relevant opportunities among thousands of irrelevant listings. The right job search tool matches the specificity of your skills with opportunities that actually need them.