Growth Hacks for Startups from Elliot Shmukler of Instacart, LinkedIn, and Anomalo
- Aisha Washington
- 1 hour ago
- 7 min read
Startup growth is often presented as a collection of clever tactics: launch a referral offer, shorten registration, buy more ads, or add a viral sharing loop. Elliot Shmukler’s conversation with Jason Calacanis offers a more disciplined view. Drawing on his work at LinkedIn, Wealthfront, and Instacart, as well as his current role leading Anomalo, Shmukler argues that tactics succeed only when they reinforce genuine customer demand.
The discussion moves from finding a startup’s first users to improving conversion funnels, designing referral systems, expanding into new markets, and protecting the data behind growth decisions. Its central lesson is straightforward: growth is not a substitute for product-market fit. It is a way to amplify value that users already recognize.
Growth Starts Before the Growth Playbook
Shmukler separates the search for product-market fit from the work of scaling a product that has already found it. During the earliest stage, founders should not expect a polished acquisition engine to solve their uncertainty. They first need to discover who urgently wants the product, why those people care, and what experience keeps them coming back.
That usually requires direct, inefficient work. Founders may recruit customers personally, speak with each one, observe how they use the product, and adjust the offering repeatedly. This reflects Paul Graham’s advice to do things that do not scale: the goal is not operational elegance but rapid learning.
Uber’s early acquisition efforts provide a useful illustration. Rather than marketing indiscriminately, the company could seek out locations or events where transportation demand was immediate. Concentrating on users with a problem at that exact moment made adoption more likely and produced sharper feedback.
Paid acquisition and sophisticated amplification become more useful after a startup understands its audience. Before that point, advertising may simply accelerate spending without resolving the fundamental question of whether the product deserves to grow.
Word-of-Mouth Is the Foundation
For Shmukler, word-of-mouth is the most important growth channel because it reflects authentic customer enthusiasm. People place their own credibility at risk when recommending a product to friends or colleagues. A recommendation therefore signals more than awareness: it suggests that the product delivered enough value to be discussed voluntarily.
He points to LinkedIn as evidence that organic recommendations remain important even when a company has optimized formal invitation systems. According to the conversation, roughly one-fifth of LinkedIn’s growth still came through word-of-mouth despite the platform’s extensive work on invitations.
This distinction matters. A referral program does not manufacture customer affection. At best, it captures and accelerates enthusiasm that already exists. When users are indifferent, incentives may generate temporary registrations, but they rarely create durable engagement.
Founders should consequently ask a more demanding question than “How do we get customers to share?” They should ask what makes the experience worth mentioning in the first place.
Build Referrals Into the Product Experience
The strongest referral loops often arise naturally from product use. LinkedIn becomes more valuable as professional connections join. Slack requires colleagues to participate in a shared workspace. Dropbox makes file sharing an invitation mechanism, while collaborative tools such as Notion spread when users bring other people into documents and projects.
These products do not treat sharing as an unrelated marketing chore. Inviting another person helps the existing user complete a task or increases the utility of the network.
Consumer services can apply the same principle. Features that let customers add passengers, coordinate deliveries, or assemble group orders introduce the service to additional people in a useful context. Someone encountering Instacart, Uber Eats, or DoorDash through a shared order is not merely seeing an advertisement; they are participating in a real transaction.
This built-in exposure is generally more resilient than a promotional coupon. It connects distribution to customer value, allowing product usage and acquisition to reinforce each other.
Use Incentives Carefully
“Give to get” programs can accelerate an existing referral loop. Offers such as “give a friend credit and receive credit yourself” reward both sides of the introduction and reduce the perceived risk of trying a new service.
Yet Shmukler warns that these programs require close measurement. Customers may create duplicate accounts, manufacture referrals, or collect rewards without becoming valuable long-term users. A campaign that produces impressive signup numbers can still destroy value if the incentives and servicing costs exceed the revenue generated.
The relevant metric is therefore not the number of referral codes redeemed. Teams need to examine whether referred customers remain active, how much they cost to acquire, and whether their eventual contribution justifies the reward.
Incentives work best as an amplifier of authentic recommendation—not as compensation for a product people would otherwise avoid discussing.
Make the Product Worth Bragging About
After word-of-mouth, Shmukler emphasizes the growth value of conferring status. A product becomes easier to recommend when it helps customers feel capable, informed, efficient, or unusually well equipped.
Status does not have to mean visible luxury. Instacart customers might take pride in organizing a family gathering without losing hours to shopping. The achievement is not simply receiving groceries; it is accomplishing more within a constrained schedule.
Wealthfront offered another form of status by giving a broader audience access to investment techniques, including tax-loss harvesting, that had previously been associated with wealthier investors. Customers gained both a financial tool and a sophisticated idea they could discuss with others.
Early Uber Black rides offered a more conventional status signal, but the underlying mechanism was similar: the experience gave customers a story worth telling. Founders can look for features that let users demonstrate expertise, resourcefulness, access, or achievement without reducing the product to empty prestige.
Conversion Optimization Requires Context
Once product-market fit is visible, teams can improve the path from interest to action. Shmukler describes conversion rate optimization as a structured process: measure how people move through a sequence, locate the points where they leave, propose improvements, and test whether those changes increase completion.
Product managers are often well positioned to lead this work because they can connect design, engineering, and data. The task is not merely to make screens attractive or remove fields. It is to understand the desired outcome and coordinate multiple disciplines around it.
A useful conversion program typically involves:
Defining the action that represents meaningful progress.
Measuring each stage leading to that action.
Identifying confusion, delay, or unnecessary effort.
Testing changes rather than relying on intuition.
Checking whether higher conversion also produces valuable users.
That final step prevents teams from optimizing a superficial metric while weakening downstream retention or quality.
Not All Signup Friction Is Bad
The usual advice is to make registration as fast as possible. Shmukler agrees that reducing effort is often sensible, but he rejects the idea that every additional step is harmful.
Friction can qualify users, establish trust, and encourage commitment. Requiring a professional identity may discourage spam. Asking detailed questions can give a service provider enough information to deliver a stronger result. In high-intent settings, a longer application may even increase a user’s psychological investment in completing the process.
The tradeoff becomes especially important at scale. Extremely loose registration can generate duplicate or fraudulent accounts that later require expensive cleanup. Shmukler recalls LinkedIn creating approximately one million duplicate accounts per week, leading the company to dedicate resources to detecting and merging them.
The right signup flow is therefore not necessarily the shortest one. It is the flow that removes pointless effort while retaining the information and safeguards needed for a successful relationship.
Growth Changes Across Companies and Markets
The conversation also shows how growth problems vary by business model. At Instacart, geographic concentration made word-of-mouth especially powerful. A successful city could support expansion into nearby areas, where awareness and operating capacity were easier to extend than in a distant market.
But local marketplaces face a coordination challenge: demand must be matched with sufficient delivery capacity. Entering a new region without enough shoppers can damage the customer experience, while recruiting too many before demand appears creates inefficiency. Geographic growth therefore depends on operational readiness as much as marketing.
At Wealthfront, Shmukler observed that customers committing larger amounts could become more deeply engaged with the product. This challenges the assumption that the smallest possible initial commitment always maximizes growth.
LinkedIn’s network produced another dynamic. Invitations could carry different weight depending on the sender’s professional position or reputation. The platform’s network effects also helped distribute content such as job listings. Bringing members of a hiring team into the conversation could activate several overlapping professional networks and increase a listing’s reach.
Across these examples, there is no universal hack. Effective tactics emerge from the product’s particular value, social structure, and operational constraints.
Reliable Data Is Part of the Growth System
Shmukler’s work at Anomalo extends the discussion from customer acquisition to the infrastructure used to understand it. Modern companies depend on data to evaluate marketing, run experiments, study behavior, power recommendations, and monitor products. When that data is missing, delayed, malformed, or unexpectedly changed, teams may make confident decisions from a false picture.
Anomalo is designed to detect unusual conditions in cloud data warehouses before they create larger disruptions. The platform is aimed particularly at organizations with substantial data teams and complex pipelines, where manually checking every table or source is impractical.
This mission reflects a broader growth principle: measurement is only useful when the underlying information is trustworthy. A conversion dashboard cannot guide a team if tracking has broken. An experiment cannot settle a debate if one group’s events are missing. Machine-learning systems cannot perform consistently when inputs change without warning.
Shmukler also sees expanding potential for AI, including language models that can summarize and contextualize detected issues. But automation does not eliminate the need for data quality. More powerful analytical systems make reliable inputs even more important.
Sustainable Growth Amplifies Real Value
The discussion’s most useful takeaway is that growth should be treated as a system, not a bag of tricks. Product-market fit creates the initial pull. Word-of-mouth reveals that customers care. Referral mechanics extend that enthusiasm, while conversion work helps more qualified users reach value. Thoughtful friction protects quality, and dependable data allows the company to learn accurately.
Founders can still experiment with incentives, viral features, geographic expansion, and funnel improvements. The discipline lies in connecting each tactic to customer value and testing its economic consequences.
A genuine growth engine does not merely produce more signups. It brings the right people into an experience they want to keep using—and gives them a credible reason to bring others with them.
