Enterprise

5 metrics Series A investors look for at dev-tools startups

Comment

Steel chain links connected in the middle by a red paperclip, on white background, cut out
Image Credits: I Like That One (opens in a new window) / Getty Images

Rak Garg

Contributor

Rak Garg is a principal at Bain Capital Ventures where he leads early-stage investments in developer tools, data infrastructure, cybersecurity and enterprise software.

A year ago, developer-focused software companies were being funded at huge valuations, buoyed by the prospect of blockbuster IPOs like those from Snowflake, HashiCorp and Confluent. Now, with the market downturn, raising capital for a dev-tools startup is much more difficult. But it’s not impossible.

After meeting hundreds of developer-tools startups and talking to dozens of fellow investors over the last several months, I’ve noticed a common characteristic among founders who have raised successful Series A rounds: They’re great at telling their companies’ stories. Of course, it takes more than a way with words to raise capital, and in this column, I’ll delve into a practical, step-by-step guide founders can use to move successfully from seed to Series A.

Before we get started, it’s important to set expectations. The average Series A price for dev-tools companies is falling, and valuations are down across the board. The median Series A round for a developer-tooling company was $47.5 million in Q3 2022, the lowest it has been since the beginning of 2021.

Seed rounds are raised to validate a problem and create an early solution. Series A rounds are used to bring a solution to market, get a few customers to care and see early signs of monetizing that solution. As an investor in many developer-first businesses, including Docker, Redis and Startree, these five metrics are what I look for:

User growth

The most important metric VCs want to see is non-linear organic growth of your product’s user base, including usage expansion within specific teams. So try to provide at least a month of weekly and/or daily data.

If you’re running an open source company and user count is therefore hard to instrument, instead show usage growth through proxies like downloads or in-product engagement.

Remember, not all users are created equal. A company looks stronger if its users are from modern, engineering-first companies such as Robinhood, Confluent, Databricks and Airbnb.

Revenue

Revenue is taking an increasingly important role in Series A fundraising conversations. It’s not actually the amount of revenue that matters, it’s the quality. You could raise a stellar Series A at $100,000, $500,000 or $5 million ARR. Investors point to current revenue as a leading indicator of what revenue could look like as your company grows.

I wouldn’t recommend sacrificing free user growth to chase low-quality revenue. Examples of low-quality revenue might be customers who want you to build one-off features for them, services revenue you generate from proof-of-concept conversations or kickbacks from channel partnerships. High-quality revenue is generated directly from your customer base in exchange for usage of your product.

Without revenue, you can demonstrate willingness to pay with qualitative evidence from developers that illustrates their plans to expand product usage. It’s common to ask design partners to sign letters of intent (LOIs) that they will convert at a certain date for a certain price after some milestone.

Quality of usage

To raise a Series A today, you won’t just have to show investors that developers are using your product, but that they are doing so in realistic production settings to get real work done.

Don’t get me wrong: As an engineer at heart, I spend many hours playing around with different tools. Some of the most iconic developer-first companies, like Heroku, were started by catering to hobbyists.

This audience is an excellent top-of-funnel, but Series A investors want to see early signs that your product is valuable enough to be deployed in production environments or workflows. A good rule of thumb to ensure that usage is high quality is making it so you’d be proud to publish a case study about it on your website.

Include quotes or statistics from high-quality users in your pitch deck. The first thing a potential investor will do is call each user listed in your deck, so make sure the ones you list are representative of the true value your product is providing.

Community metrics

The best software platforms cultivate movements behind them, like data transformation company dbt did with over 35,000 members in its Slack community. Developers are in the driver’s seat at most tech-first companies, and capturing their imagination will dramatically increase your GTM efficiency.

If your product makes a legitimate difference to developers’ lives, they will talk about your company with their friends, colleagues and managers, sparking virality.

Here are some ways to show investors that you have an engaged audience that will soon generate value:

  • Share product content on Hacker News, Twitter and other blogs. If they perform well, share your content metrics (views, trials, first-time visitors, etc.) with investors.
  • For open source products, show contributor and pull-request (PR) growth over time. Git Pulse is an excellent tool for visualizing your project’s trajectory. Stars are gameable and don’t indicate product-market fit, but they do add to a healthy growth narrative.
  • Show Slack/Discord metrics such as growth trends in weekly active users, total users and messages sent.
  • Display a “wall of love” on your website. This is a collection of tweets and other content your users have created about your product.

Large markets

Because public company valuations have been reset, investors now believe total addressable markets (TAMs) are lower than they previously thought. For this reason, you will now need to show that you can appeal to more potential personas, charge much more per user or that some macrotrend is growing your target persona or their demand.

Show that you appeal to more personas by expanding across teams. Maybe your database tool could one day be used as a caching layer or your data exploration tool could appeal to data and financial analysts.

You can also show that your users will pay more for your tools in the future if they are demanding additional high-value enterprise features. This demand shows investors that you can generate larger annual contract values (ACVs) from each customer once you’ve raised the funding to build these features.

Lastly, if there are industry advancements you can leverage, you can show that your user base can grow rapidly because of them.

Telling a great story

Nailing your story is almost as important as demonstrating the above benchmarks, but it’s easier said than done. A compelling Series A story has three core components: the trends obviating the need for your product, your team’s ability to tackle this problem and the reasons you believe your solution is the correct approach.

Start with specific trends you’re seeing in the market. What about the world is changing? What about that change is mandating your company and setting it up to succeed?

  • Here’s a bad example: The world is moving to the cloud! That means developers need our microservice orchestration solution!
  • Here’s a good example: As part of the shift to the cloud, microservices and event-driven architectures are now the design preference of every engineer. Our microservice orchestration platform accelerates companies’ transition to event-driven architecture and helps them scale with it.

Once you’ve spelled out what about the world is forcing your product into existence, explain why you and your team are the right people to solve this issue.

  • Here’s a bad example: We worked at Airbnb and have been interested in this problem for a long time and finally decided to start a company because we always wanted to be entrepreneurs.
  • Here’s a good example: We saw this problem firsthand at Airbnb, where we spent a crippling amount of time working on making this architecture work, even though our team charter was something else. After testing several possible solutions with our engineering friends at companies like DoorDash and Uber, we realized our product was scalable and generalizable enough to help every developer grapple with the cloud.

Now that you have identified a global trend/problem and proven you have assembled the right team, walk investors through how you will solve the problem. This part of your story should address the following considerations:

  • How the product works and the technical moats or architectural reasons it is preferable or particularly enduring. Don’t be afraid to get in the weeds, especially with technical investors!
  • How the solution is performing in the market and what you have learned in your early go-to-market tests. This is where you will reference the metrics above.
  • What a Series A unlocks for you, where you would invest the capital and the next milestone before your Series B.

Finally, if you succeed, what does the world ultimately look like? What do we think that reality is worth to customers? Paint an exciting, visionary picture of the future.

  • Here’s a bad example: The cloud is a $3 gajillion dollar market, according to a market research firm, and we are going to capture it!
  • Here’s a good example: We envision a world where every engineer can focus on shipping core product features without worrying about making event-driven architectures in microservice environments work. Every signal we are getting from the market is telling us developers want to work this way, and we believe we can capture upward of $20/developer/month as we scale through organizations like Twilio, Zoom and Atlassian.

In conclusion, raising a successful Series A at a developer-focused company is about collecting the right evidence and presenting it in a clear, concise and compelling way. By the end of your pitch, an investor should feel like your product is going to happen with or without them, so they had better move quickly to get into the deal.

More TechCrunch

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

Google I/O 2024: Everything announced so far

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

Google’s gunning for OpenAI’s Sora with Veo, an AI model that can create 1080p video clips around a minute long given a text prompt.  Unveiled on Tuesday at Google’s I/O 2024 developer…

Google gets serious about AI-generated video 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

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

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

Google’s Circle to Search feature will now be able to solve more complex problems across psychics and math word problems. 

Circle to Search is now a better homework helper

People can now search using a video they upload combined with a text query to get an AI overview of the answers they need.

Google experiments with using video to search, thanks to Gemini AI

A search results page based on generative AI as its ranking mechanism will have wide-reaching consequences for online publishers.

Google will soon start using GenAI to organize some search results pages

Google has built a custom Gemini model for search to combine real-time information, Google’s ranking, long context and multimodal features.

Google is adding more AI to its search results

At its Google I/O developer conference, Google on Tuesday announced the next generation of its Tensor Processing Units (TPU) AI chips.

Google’s next-gen TPUs promise a 4.7x performance boost

Google is upgrading Gemini, its AI-powered chatbot, with features aimed at making the experience more ambient and contextually useful.

Google reveals plans for upgrading AI in the real world through Gemini Live at Google I/O 2024

Veo can generate few-seconds-long 1080p video clips given a text prompt.

Google’s image-generating AI gets an upgrade

At Google I/O, Google announced upgrades to Gemini 1.5 Pro, including a bigger context window. .

Google’s generative AI can now analyze hours of video

The AI upgrade will make finding the right content more intuitive and less of a manual search process.

Google Photos introduces an AI search feature, ‘Ask Photos’

Apple released new data about anti-fraud measures related to its operation of the iOS App Store on Tuesday morning, trumpeting a claim that it stopped over $7 billion in “potentially…

Apple touts stopping $1.8B in App Store fraud last year in latest pitch to developers

Online travel agency Expedia is testing an AI assistant that bolsters features like search, itinerary building, trip planning, and real-time travel updates.

Expedia starts testing AI-powered features for search and travel planning

Welcome to TechCrunch Fintech! This week, we look at the drama around TabaPay deciding to not buy Synapse’s assets, as well as stocks dropping for a couple of fintechs, Monzo raising…

Inside TabaPay’s drama-filled decision to abandon its plans to buy Synapse’s assets

The person who claimed to have stolen the physical addresses of 49 million Dell customers appears to have taken more data from a different Dell portal, TechCrunch has learned. The…

Threat actor scraped Dell support tickets, including customer phone numbers

If you write the words “cis” or “cisgender” on X, you might be served this full-screen message: “This post contains language that may be considered a slur by X and…

On Elon’s whim, X now treats ‘cisgender’ as a slur

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 the AI reveals live

Facebook once had big ambitions to be a major player in enterprise communication and productivity, but today the social network’s parent company Meta will be closing a very significant chapter…

Meta is shutting down Workplace, its enterprise communications business

The Oversight Board has overturned Meta’s decision to take down a documentary revealing the identities of child abuse victims in Pakistan.

Meta’s Oversight Board overturns takedown decision for Pakistan child abuse documentary

Adam Selipsky is stepping down from his role as CEO of Amazon Web Services, Amazon has confirmed to TechCrunch.  In a memo shared internally by Amazon CEO Andy Jassy and…

AWS CEO Adam Selipsky steps down