There is a peculiar stretch in a software company's life when the product has stopped being a theory but growth has not yet become a machine. Customers are buying. Investors have moved the company beyond seed-stage improvisation. Then the old shortcuts begin to fail. A founder-led sales motion cannot carry every account. Product sign-ups do not automatically become enterprise contracts. The marketing stack grows faster than the team's ability to use it. This is the stretch HyperGrowth Partners has chosen to inhabit.
Founded in 2020 by Guillaume Cabane and Martin Gontovnikas, the San Francisco firm advises Series A-E B2B software companies. Its current public portfolio runs from Ramp and Vercel to Neon, Together AI, n8n, Clerk, AirOps, Ashby, Reddit and Retool. The logos cover different markets, but the underlying assignment is remarkably consistent: turn early momentum into a growth system without letting customer-acquisition costs run loose.
HyperGrowth calls itself a growth-stage accelerator. That label can be slippery. It does not resemble the familiar accelerator with a fixed cohort, demo day and standardized curriculum. Nor does it look much like an advertising agency waiting for a media brief. The closer description is an operator collective with portfolio economics. Experienced marketing, product and go-to-market leaders are matched to a company's particular problem, spend recurring time with its team and share in the upside through equity.
The invoice is the strategy
The most revealing line on the company's website is not about artificial intelligence or exponential growth. It is the compensation note: primarily equity. That choice changes the assignment. A consultant paid for a six-week project can optimize for a polished recommendation. An advisor whose upside depends on the future value of the company must care whether the recommendation survives the next quarter, the next hire and the next shift in the market.
Gontovnikas has described the work as two to eight hours a week rather than a ceremonial monthly call. He has also said equity is pooled across the community, so an operator's result is not tied to a single company. In a 2025 post, he reported 57 companies helped, more than 24 CMOs and CPOs involved, and over $2 million already sold and distributed to partners. Those are founder-reported numbers, but they explain the architecture: this is meant to be a portfolio, not a pile of freelance calendars.
Equity cannot make weak advice useful, of course. It can even create tension. The firm must select companies whose shares it wants, while a founder must decide how much of the cap table a growth intervention deserves. The arrangement is also less tidy than paying an agency and ending the contract. Its advantage is precisely that untidiness: both sides have reason to build something that compounds.
“Playbooks age fast. Deep GTM expertise compounds.”HyperGrowth Partners' operating thesis
What the partners actually touch
The service list begins where the org chart tends to become political. Product-led growth must coexist with product-led sales. The ideal customer profile needs to agree with the sales team's lived reality. Demand generation spans search, paid acquisition and outbound. Experiments need engineers, not merely campaign managers. The company also advises on team design, hiring introductions, technical architecture and the growth stack.
The recurring cadence matters. Public materials describe weekly meetings with teams, async review of work and direct conversations with founders and executives. Advisors inspect data, propose experiments and remain involved during execution. This is the practical distinction between a recommendation and an operating system. One is correct on the day it is delivered. The other keeps producing decisions after the advisor closes the laptop.
Ramp offers the clearest public example. Co-founder Eric Glyman said HyperGrowth helped the company hire a Head of Growth, identify opportunities in outbound and paid channels, and increase the pace of experimentation. Gontovnikas separately described an automated, intent-based outbound motion aimed at contacting companies when a need for Ramp was detectable. The point was not merely to send more email. It was to join timing, data and team incentives into one pipeline system.
Attention's co-founder credited the firm with helping overhaul the website, refine marketing and move toward a scalable engine. AirOps' Head of Growth emphasized frameworks and introductions. Vercel's VP of Marketing praised advisors who had already sat in comparable seats during explosive scale. Each endorsement points to a different artifact - a hire, a website, a framework, a useful relationship - but the product is the same: borrowed pattern recognition applied to a live company.
The rise of the growth plumber
Cabane and Gontovnikas share an enthusiasm for the technical edge of marketing. Cabane led growth at Segment and Drift. Gontovnikas began as a software engineer, later ran marketing and growth at Auth0 and helped scale the identity company before its acquisition by Okta. Their histories make HyperGrowth's favorite new role feel less like a trend and more like autobiography: the go-to-market engineer.
A GTM engineer is a cross-functional builder who understands the funnel but is comfortable with APIs, data models, automation and code. The role can stitch together intent signals, enrich accounts, route leads, personalize messages and measure outcomes. HyperGrowth argues that this matters because once a useful tactic becomes packaged inside a popular tool, every competitor can buy it. The advantage moves from owning the tool to designing a better system around it.
This also explains the firm's current market position. It competes with growth consultancies, fractional CMOs, specialist agencies, independent advisors and the operating teams attached to venture funds. A company that only needs paid campaigns has simpler options. A founder who wants a famous name for an occasional board call has cheaper ones. HyperGrowth is designed for a messier need: a proven SaaS product with interconnected problems across product, marketing, sales and data.
A narrow customer, a broad toolbox
The target is deliberately bounded: Series A-E B2B SaaS, with particular depth in AI, fintech, developer tools, martech and e-commerce infrastructure. These are markets where the buyer can be technical, the sales motion can mix self-service and enterprise, and channels can decay quickly. A developer tool cannot simply shout louder. It must earn trust. An AI company may have impressive research and no clear path from fascination to budget. A fintech product may need both efficient acquisition and a sales process that survives scrutiny.
The broad portfolio is therefore less contradictory than it first appears. Upstash sells serverless data infrastructure. Zamp automates sales-tax operations. Arena builds owned community experiences. Their products share little, but each faces the post-PMF question: which growth motion fits this buyer, this category and this stage? HyperGrowth's answer is not to force all three through one funnel template. It is to assign operators with relevant scars and let them test.
The weak point of this model is scale. Deep work by senior people resists industrialization. A partner can only sit in so many weekly meetings, review so many experiments and understand so many data sets. The firm addresses that constraint with a bench of operators and shared learning across the portfolio. Still, the human attention is the scarce input. That scarcity is part of the pitch and the ceiling.
There is a second risk. Pattern recognition can harden into the very playbook the firm warns against. HyperGrowth's public writing frequently returns to this problem. Its essays cover signal-based outbound, AI-assisted targeting, use-case-led SEO, community growth, organizational conflict and agent-first websites. The publishing habit functions as research and marketing, but also as a reminder that yesterday's advantage is already being productized.
Where the model lands
HyperGrowth Partners sits in the seam between consulting and investing. It does not announce a conventional fund, and no public funding history or valuation for the firm is available. Its asset is a network of operators, its product is applied judgment, and its returns depend partly on the equity value created across client companies. In that sense, the company sells labor today for an uncertain claim on tomorrow.
That proposition will not suit every founder. It asks for access, candor and ownership. It also asks a leadership team to tolerate experiments that fail, because a growth system without failure is usually a reporting system in disguise. For the right company, the attraction is direct: instead of hiring every specialty at once, it can temporarily borrow people who have already wrestled with the transition it is entering.
The lesson is pleasantly unromantic. Hypergrowth is not one clever campaign. It is a team that can find a signal, build around it, measure it and replace the system when the signal stops working. HyperGrowth Partners has arranged a business around helping companies do that during the years when momentum is real, expectations are rising and the machinery is still being assembled.