Startups

Investment in infrastructure is critical for crypto startups, not a ‘nice to have’

Comment

rising arrow and support; startup crypto infrastructure investments
Image Credits: Hiroshi Watanabe (opens in a new window) / Getty Images

Nikhil Sachdev

Contributor

Nikhil Sachdev is a managing director at Insight Partners, where he focuses on investments in high-growth software, fintech and crypto companies.

Crypto has had a rough couple of months as much of the downward macro pressure hammering software and fintech hit the broader crypto market. Valuations have collapsed, revenue growth (for many companies) is starting to slow down, and institutional and retail capital is pulling back at scale.

One area of crypto that is weathering the storm quite well is “infrastructure,” the companies and protocols that help enable the core functionality of other crypto companies. Despite seeing negative price pressure mostly in line with the broader market, these infrastructure companies have continued to generate sustainable revenue by servicing emerging but clear, durable use cases.

Furthermore, many of these companies are expanding horizontally and vertically to become true enterprise-grade infrastructure, a process expedited by the large influx of capital and Web 2.0 talent in the space.

Looking forward, we expect companies and protocols focused on building critical infrastructure to continue to emerge and scale, driving attractive investment opportunities.

The six-layer cake model

To better understand the crypto landscape, we unpacked the sector into its core technology layers, which culminated in a six-layer crypto stack, ranging from the basic settlement/mining layer, all the way through the consumer-facing decentralized application and access layer.

Between these two extremes is a spectrum of infrastructure providers, hybrid infrastructure application tools known as primitives, and composable applications that codify, enable and make accessible the various use cases across the crypto ecosystem.

Image Credits: Insight Partners

Imagine a consumer wants to swap ETH for another Ethereum-based token on a decentralized exchange — a swapping protocol that lets two assets trade against each other without an order book.

The initial set of steps for this consumer exists in the access layer. This layer is focused on giving individuals or institutions the tools to interact with decentralized applications and networks. For our swapping example, the access layer will equip consumers with a few key essentials:

  • A self-custodied wallet: An intuitive UI/UX abstraction of a set of public and private keys that lets you interact with a distributed ledger or programmable chain. The consumer will likely choose to use a wallet provider.
  • A fiat on-ramp: For onboarding money into the crypto ecosystem.
  • Data aggregation tools: To see the quantity and value of holdings.

The next layer is the application layer itself — in this case, the user facing the front end the consumer interacts with. This would be the website and application portal of the exchange through which the user sets the parameters of the trade (e.g., what price per token is acceptable) and requests to execute the trade.

At this point we cross the threshold into enablement layers, which allow this simple swap to occur. The first layer in this group is the primitive layer. Primitives are core features or functions, usually a “basic” protocol with a standard set of contracts, that enable entire micro-ecosystems to live on top of it.

In our example, the relevant primitive is foundational to DeFi. It’s a set of connected swapping smart contracts that facilitate this swap. This set of contracts enables two important tasks to occur in our example:

  1. Sets a dynamic exchange rate between the tokens, driven by the relative demand for each.
  2. Incentivizes the market to lend large quantities of both tokens to the exchange (called providing liquidity) to ensure the exchange has sufficient reserves of each to facilitate a smooth exchange.

Before jumping to how this swap is actually executed by the Ethereum blockchain, it is necessary to discuss the infrastructure layer that let this decentralized exchange write, audit, deploy and monitor the efficacy and security of its swapping contracts. Before the user ever interacted with the swap contract, the decentralized exchange likely utilized the following:

  • Developer tools, usually bundled together by a provider like Alchemy.
  • A developer environment for writing and testing the efficacy of the contract.
  • A node provider to read and write data and transactions to and from the blockchain.
  • Security solutions to audit and test the contract for vulnerabilities, probably from a top-tier provider.
  • Compliance and tax tools to enable compliant execution and recording of the swap for reporting.

This brings us to our final two steps: the consensus and mining layers. Once the smart contract executes, it will send a request to record a transfer of assets between wallets, which will be ordered and verified into a block by the mining layer. The user gets their token in exchange for their ETH, and the Ethereum blockchain records this transfer in a permanent, public manner.

The key takeaway here is that behind a relatively simple transfer of assets, you have a multilayered set of interlocking dependencies supporting an ecosystem of decentralized applications, users and capital.

Key investment themes from our Web 2.0 investing

It’s said that the best investment opportunity in a gold rush is the business selling the picks and shovels. However, we’d argue that there’s an even better place to invest in said proverbial gold rush to maximize risk-reward: owning the land and property all of those pickaxe shops and miners need to rent.

For every miner, shop and other institution in town, real estate is the foundational, basic “infrastructure” — you can’t build a thriving pickaxe business without somewhere to physically house it.

This is similar to how we have approached investments in the software sector. While there are plenty of amazing software companies, the best investments are often enablement or infrastructure providers that SaaS companies depend on. We believe these types of investments have three distinct advantages:

  1. Infrastructure is often mission critical, not a “nice to have.” The best infra companies have strong core value propositions that drive durable growth.
  2. Infrastructure is a way to play growth in a particular end market without being exposed to single-company or idea risk.
  3. Infrastructure companies often have exceptional financial profiles characterized by high growth, high retention, diverse revenue sources and high margins.

Applying the infrastructure thesis to crypto

We believe crypto will produce many successful infrastructure-like companies that embody the mission criticality, de-risked growth and strong financial profiles of their Web 2.0 peers. Below is an outline of where in crypto we think these attractive investments are most likely to emerge and why we’re excited to invest in these subsectors:

Infrastructure layer

These are the tooling and core enablement providers that will power the next generation of protocols. We see huge value in tools that abstract and enable fundamental activities in crypto.

  • Security: About $14 billion has been stolen in code and non-code-based attacks on crypto protocols. Companies building security tooling will continue to be foundational pieces of infrastructure.
  • Developer tools: Tooling that expedites and simplifies the production of dApps will be crucial to meaningfully spur the growth and quality of the ecosystem.
  • Data and analytics: The quantity of data in crypto can be overwhelming. Tooling that structures and derives insights from this mass of data is increasingly a core service that every party in the ecosystem requires.

Consensus layer

This encompasses the activity, growth and adoption of entire ecosystems.

  • Scaling solutions (L2): We expect the transactions occurring in crypto to continue to grow exponentially. To serve this demand, new and innovative scaling solutions for existing chains, or more advanced next-generation chains will become necessary. This is especially true as more complicated activities begin to happen natively on-chain (e.g., massively multiplayer video games).

Business models, stakeholder incentives and modes of interaction may radically change in moments of disruption, but the first-principle elements of a durable, sustainable value proposition rarely do.

By thinking critically about what has fueled successful investments in the past, and applying those processes to this new paradigm, we can accelerate a new generation of incredible protocols and companies.

Disclaimer: The opinions above are solely the authors’ and do not necessarily represent the views and opinions of Insight Partners.

More TechCrunch

Cargo ships docking at a commercial port incur costs called “disbursements” and “port call expenses.” This might be port dues, towage, and pilotage fees. It’s a complex patchwork and all…

Shipping logistics startup Harbor Lab raises $16M Series A led by Atomico

AWS has confirmed its European “sovereign cloud” will go live by the end of 2025, enabling greater data residency for the region.

AWS confirms will launch European ‘sovereign cloud’ in Germany by 2025, plans €7.8B investment over 15 years

Go Digit, an Indian insurance startup, has raised $141 million from investors including Goldman Sachs, ADIA, and Morgan Stanley as part of its IPO.

Indian insurance startup Go Digit raises $141M from anchor investors ahead of IPO

Peakbridge intends to invest in between 16 and 20 companies, investing around $10 million in each company. It has made eight investments so far.

Food VC Peakbridge has new $187M fund to transform future of food, like lab-made cocoa

For over six decades, the nonprofit has been active in the financial services sector.

Accion’s new $152.5M fund will back financial institutions serving small businesses globally

Meta’s newest social network, Threads, is starting its own fact-checking program after piggybacking on Instagram and Facebook’s network for a few months.

Threads finally starts its own fact-checking program

Looking Glass makes trippy-looking mixed-reality screens that make things look 3D without the need of special glasses. Today, it launches a pair of new displays, including a 16-inch mode that…

Looking Glass launches new 3D displays

Replacing Sutskever is Jakub Pachocki, OpenAI’s director of research.

Ilya Sutskever, OpenAI co-founder and longtime chief scientist, departs

Intuitive Machines made history when it became the first private company to land a spacecraft on the moon, so it makes sense to adapt that tech for Mars.

Intuitive Machines wants to help NASA return samples from Mars

As Google revamps itself for the AI era, offering AI overviews within its search results, the company is introducing a new way to filter for just text-based links. With the…

Google adds ‘Web’ search filter for showing old-school text links as AI rolls out

Blue Origin’s New Shepard rocket will take a crew to suborbital space for the first time in nearly two years later this month, the company announced on Tuesday.  The NS-25…

Blue Origin to resume crewed New Shepard launches on May 19

This will enable developers to use the on-device model to power their own AI features.

Google is building its Gemini Nano AI model into Chrome on the desktop

It ran 110 minutes, but Google managed to reference AI a whopping 121 times during Google I/O 2024 (by its own count). CEO Sundar Pichai referenced the figure to wrap…

Google mentioned ‘AI’ 120+ times during its I/O keynote

Firebase Genkit is an open source framework that enables developers to quickly build AI into new and existing applications.

Google launches Firebase Genkit, a new open source framework for building AI-powered apps

In the coming months, Google says it will open up the Gemini Nano model to more developers.

Patreon and Grammarly are already experimenting with Gemini Nano, says Google

As part of the update, Reddit also launched a dedicated AMA tab within the web post composer.

Reddit introduces new tools for ‘Ask Me Anything,’ its Q&A feature

Here are quick hits of the biggest news from the keynote as they are announced.

Google I/O 2024: Here’s everything Google just announced

LearnLM is already powering features across Google products, including in YouTube, Google’s Gemini apps, Google Search and Google Classroom.

LearnLM is Google’s new family of AI models for education

The official launch comes almost a year after YouTube began experimenting with AI-generated quizzes on its mobile app. 

Google is bringing AI-generated quizzes to academic videos on YouTube

Around 550 employees across autonomous vehicle company Motional have been laid off, according to information taken from WARN notice filings and sources at the company.  Earlier this week, TechCrunch reported…

Motional cut about 550 employees, around 40%, in recent restructuring, sources say

The keynote kicks off at 10 a.m. PT on Tuesday and will offer glimpses into the latest versions of Android, Wear OS and Android TV.

Google I/O 2024: Watch all of the AI, Android reveals

Google Play has a new discovery feature for apps, new ways to acquire users, updates to Play Points, and other enhancements to developer-facing tools.

Google Play preps a new full-screen app discovery feature and adds more developer tools

Soon, Android users will be able to drag and drop AI-generated images directly into their Gmail, Google Messages and other apps.

Gemini on Android becomes more capable and works with Gmail, Messages, YouTube and more

Veo can capture different visual and cinematic styles, including shots of landscapes and timelapses, and make edits and adjustments to already-generated footage.

Google Veo, a serious swing at AI-generated video, debuts at Google I/O 2024

In addition to the body of the emails themselves, the feature will also be able to analyze attachments, like PDFs.

Gemini comes to Gmail to summarize, draft emails, and more

The summaries are created based on Gemini’s analysis of insights from Google Maps’ community of more than 300 million contributors.

Google is bringing Gemini capabilities to Google Maps Platform

Google says that over 100,000 developers already tried the service.

Project IDX, Google’s next-gen IDE, is now in open beta

The system effectively listens for “conversation patterns commonly associated with scams” in-real time. 

Google will use Gemini to detect scams during calls

The standard Gemma models were only available in 2 billion and 7 billion parameter versions, making this quite a step up.

Google announces Gemma 2, a 27B-parameter version of its open model, launching in June

This is a great example of a company using generative AI to open its software to more users.

Google TalkBack will use Gemini to describe images for blind people