Tag: Seattle

  • Democratizing Access to Private Equity

    Democratizing Access to Private Equity

    For years, investing in high-growth startups was largely the domain of venture capitalists and institutional investors. But what about the employees who built these companies, or individuals eager to get in on the ground floor before a public offering? That’s the gap EquityZen, a pioneering platform for secondary private equity, has been bridging for over a decade.

    In a recent episode of the Startup Project podcast, Nataraj, the host, sat down with Aatish, CEO and founder of EquityZen, to delve into the fascinating world of secondary markets, the story behind EquityZen’s inception, and the future of private equity investing.

    From Personal Need to Market Innovation: The Genesis of EquityZen

    Aatish’s journey into the world of secondary markets began with a personal challenge. Having transitioned from a quant hedge fund to the startup world, he found himself holding equity in private companies. When he needed liquidity for a personal milestone – an engagement ring, as he humorously shares – he discovered a frustrating reality. The existing financial infrastructure catered to large institutional investors, leaving individuals with smaller stakes in private companies with virtually no options to sell their shares.

    This personal friction point sparked the idea for EquityZen. Aatish envisioned a platform that would democratize access to private markets, allowing employees, early investors, and even accredited individual investors to participate in the growth of late-stage private companies before they hit the public markets. EquityZen’s mission is clear: “to build private markets for the public.”

    The Evolution of Secondary Markets: From IPOs to Private Teenagers

    To understand the value proposition of EquityZen, it’s crucial to grasp the evolution of secondary markets. Aatish outlined three distinct phases. In the early days, companies went public much sooner, often within 3-5 years of inception. Think Amazon, which went public as a four-year-old company. This “Phase One” meant public investors absorbed the early risk and provided liquidity.

    “Phase Two” saw the rise of mega-private companies like Facebook, LinkedIn, and Groupon. These companies, despite reaching billion-dollar valuations, remained private for much longer. Large investment banks like Goldman Sachs stepped in, facilitating secondary transactions, but these were primarily for massive blocks of shares, catering to hedge funds and family offices, not the average shareholder.

    EquityZen ushered in “Phase Three,” revolutionizing the market by standardizing the process and leveraging technology to drastically lower the barriers to entry. By building infrastructure and amortizing costs across numerous transactions, EquityZen made it feasible to trade smaller blocks of shares, opening up the market to a broader audience of accredited investors. This standardization included streamlining paperwork and creating a user-friendly online platform, reminiscent of the rise of AngelList for early-stage investing.

    Standardization and Key Terms in Secondary Transactions

    Nataraj drew parallels between EquityZen and AngelList, highlighting the standardization both platforms brought to their respective domains. Aatish clarified the fundamental difference: AngelList primarily focuses on primary transactions – companies raising capital directly. EquityZen, on the other hand, deals with secondary transactions – shareholders selling existing shares. This distinction also translates to different risk profiles and return expectations. Early-stage investments are high-risk, high-reward, often following a power law distribution. Late-stage secondary investments are generally considered less risky, targeting more established businesses with potential for doubles or triples, rather than home runs.

    When evaluating secondary investments, Aatish highlighted key considerations:

    • Portfolio Allocation: Determine the appropriate allocation to private equity within your overall investment portfolio.
    • Sophistication Level: Decide between diversified multi-company offerings (like an ETF for private equity) or building a portfolio of individual companies based on sector expertise.
    • Deal Terms: Understand the type of stock (preferred or common), the discount or premium to the last funding round, and the company’s fundamentals.
    • Investor Due Diligence: Leverage the due diligence done by leading institutional investors like Sequoia or Andreessen Horowitz, who often participate in later-stage funding rounds.

    Single Company vs. Portfolio Offerings: Choosing Your Strategy

    EquityZen offers both single-company transactions and portfolio offerings. Aatish explained that single-company transactions currently constitute the larger part of their business, reflecting the early adopter phase of the market. He believes investors are increasingly looking to leverage their sector-specific knowledge to pick individual winners.

    However, he anticipates that structured products, like portfolio offerings, will become increasingly popular as the market matures and broadens its appeal to investors who may lack deep sector expertise but still desire exposure to private equity.

    Trust and Regulation: Cornerstones of the Secondary Market

    The conversation then turned to the critical aspect of trust and regulation in secondary markets. Aatish emphasized EquityZen’s unique three-sided marketplace approach, involving not just buyers and sellers, but also the issuing company. EquityZen prioritizes transparency and company consent, ensuring that transactions are conducted with the company’s knowledge and often their approval. This contrasts with some competitors who may facilitate transactions without proper share transfer or company authorization, potentially leading to legal and operational complexities.

    Aatish highlighted the importance of Right of First Refusal (ROFR), a standard clause in private company share agreements, allowing the company to preemptively purchase shares to control their cap table. EquityZen respects ROFR and works with companies to ensure compliance, even walking away from potential revenue to maintain trust and regulatory integrity.

    Data-Driven Insights, Education-Focused Marketing

    Nataraj inquired about how EquityZen utilizes the wealth of transaction data it accumulates. Aatish confirmed they leverage this data to inform issuers, investors, and shareholders, providing cap table insights and transaction ranges. However, EquityZen refrains from aggressively marketing individual company offerings or selling raw data, believing the market is still too nascent for simplistic data-driven investment decisions.

    Instead, EquityZen focuses on education-driven marketing, providing extensive resources and knowledge bases to empower investors to make informed decisions. They prioritize long-term trust over short-term gains, even incorporating “friction” into the investment process to encourage careful consideration.

    IPOs, Direct Listings, and the Future Outlook

    The discussion concluded with the topic of IPOs and the future of the market. Aatish differentiated between traditional IPOs, where lock-up periods restrict immediate selling, and direct listings, offering more immediate liquidity. Crucially, he pointed out that EquityZen’s SPV structure can provide investors with liquidity even before a company goes public, offering a significant advantage in a market where IPO windows can be unpredictable.

    Looking ahead to 2025 and beyond, Aatish is optimistic. He anticipates a resurgence of IPO and M&A activity, driven by pent-up pressure from VC funds and private equity sponsors seeking exits. He believes that increased deal flow will fuel secondary market activity, creating more benchmarks and opportunities for investors. With interest rates expected to ease, Aatish foresees a robust period for both primary and secondary private equity markets.

    Aatish concluded by emphasizing the long-term trust EquityZen has built within the ecosystem, a testament to their commitment to responsible market development. As the private markets continue to evolve, EquityZen is poised to remain a key player, democratizing access and empowering a broader range of investors to participate in the growth of innovative companies.


    Nataraj is a Senior Product Manager at Microsoft Azure and the Author at Startup Project, featuring insights about building the next generation of enterprise technology products & businesses.


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  • Aviel Ginsberg on the Seattle Startup Scene and Building Foundations for Future Success

    Aviel Ginsberg on the Seattle Startup Scene and Building Foundations for Future Success

    Seattle, a city teeming with tech talent, has the potential to be a thriving startup hub. But what’s holding it back?  Aviel Ginsberg, founder of Simply Measured (acquired by Sprout Social), managing director at Amazon’s Alexa Accelerator, general partner at Founders Co-op, and now co-founder of Foundations, believes the answer lies in fostering a stronger community and providing better support systems for founders.

    In a recent episode of the Startup Project podcast, Ginsberg sat down with Nataraj to discuss his multifaceted career, the evolution of the Seattle startup scene, and the mission of Foundations, a new initiative aiming to be the anchor of Seattle’s VC ecosystem.  

    Listen to the full episode below, or keep reading for highlights from the conversation, edited for context and clarity. Subscribe to Startup Project for more insightful discussions at thestartupproject.io.

    From Startup Weekend to Venture Capital

    Ginsberg’s journey into the Seattle tech world began unexpectedly. Arriving fresh out of college during the 2007 recession, he quickly immersed himself in the burgeoning startup scene. A Startup Weekend, where he boldly claimed leadership of the design department, connected him with key players in the community, landing him a job at Aperture, a Founders Co-op portfolio company.

    This experience provided invaluable insights into the inner workings of a startup, from coding and product design to customer interaction and product management. He eventually transitioned to founding his own company, Simply Measured, with backing from Founders Co-op.

    Founders Co-op: Investing in the Pacific Northwest

    Now a general partner at Founders Co-op, Ginsberg, alongside his partner Chris DeVore, focuses on pre-seed and seed stage investments in the Pacific Northwest. They target founders with a “Seattle DNA,” prioritizing those tackling unsexy business workflow problems over flashy consumer products.

    The Importance of Founder Motivation

    Ginsberg’s investment philosophy emphasizes founder motivation. He seeks individuals driven by an internal need to build and create, those who find fulfillment in the journey itself. This resilience, he believes, is crucial for navigating the inevitable ups and downs of startup life.

    The Distortion of Opportunity Size

    Ginsberg and Nataraj discuss the inflated expectations surrounding opportunity size during the recent boom. The pursuit of unicorns and decakorns, they argue, led to overvaluation and unsustainable business models.  Ginsberg highlights the importance of recognizing that not every company needs to be a trillion-dollar behemoth. Sometimes, a successful acquisition is the best outcome, even if it means the product eventually gets shut down.

    Foundations: A New Anchor for Seattle’s Startup Ecosystem

    Foundations, Ginsberg’s latest venture, seeks to strengthen Seattle’s startup scene by fostering a community and providing resources for founders.  Recognizing the need for connection and shared learning, Foundations provides a physical space, events, and an entrepreneur-in-residence program to connect founders with each other and with experienced mentors and investors. 

    What Seattle Needs to Thrive

    Beyond Foundations, Ginsberg sees the need for more pre-seed funds and programs that help individuals transition from big tech companies to startups. He also emphasizes the importance of cultivating a network of angel investors who can provide quick, small checks based on their belief in the founder’s potential.

    Consuming Wisdom: Aviel’s Recommendations

    Ginsberg shares his current media consumption, including podcasts like All In, Rogan, and Jordan Peterson, as well as his love for sci-fi shows. He also highly recommends the book “The Courage to Be Disliked.”

    Key Takeaway for Investors

    Ginsberg’s advice to aspiring investors: Recognize the long feedback loops in investing.  Focus on supporting founders and resist the urge to over-manage.  Find other outlets for your builder’s energy and let the founders build.

    To hear the full conversation and learn more about Aviel Ginsberg’s insights, check out the Startup Project podcast episode here. Subscribe on Spotify, Apple Podcasts, and YouTube.

  • From Meeting Notes to Co-pilot Everywhere: A Product Manager’s Guide to Building Expansive AI Products

    From Meeting Notes to Co-pilot Everywhere: A Product Manager’s Guide to Building Expansive AI Products

    The era of basic AI is over. Product Managers, it’s time to level up. We’ve seen the demos, played with the chatbots, and scratched the surface of what AI can do. But the real game-changer is building AI that proactively assists, optimizes, and anticipates user needs across every aspect of their work. Want to know how to build that kind of next-gen AI product? Listen closely to David Shim, CEO of Read.ai. In a recent Startup Project interview, Shim laid out the roadmap, not just for better meeting summaries, but for a future where AI is a true “co-pilot for everyone, everywhere.” This isn’t just a vision; it’s a $50 million Series B-backed reality. Product Managers, the future of productivity is being built now – are you ready to lead the charge?

    Read.ai, initially known for its AI meeting summarizer, harbors a much grander vision: to be a “co-pilot for everyone, everywhere.” This ambition, backed by a recent $50 million Series B raise, isn’t just about better meeting notes; it’s about fundamentally rethinking how AI can augment human productivity across all facets of work and life. For product managers eager to build truly impactful AI products, Shim’s journey and insights are invaluable.

    Start with the Problem, Not Just the Technology:

    Shim’s story of Read.ai’s inception is a powerful reminder for product managers. It didn’t begin with a fascination with large language models (LLMs) or the latest AI breakthroughs. It started with a personal pain point: the agonizing realization of being stuck in unproductive meetings. “Within two or three minutes of a call, you know if you should be there or not… but now I turned off my camera. I cannot leave this meeting,” Shim recounts.

    This relatable frustration became the seed for Read.ai. For product managers, this underscores a crucial principle: innovation begins with identifying a genuine problem. Don’t get swept away by the hype of new technologies. Instead, deeply understand user needs, frustrations, and inefficiencies. What are the “meetings” – metaphorical or literal – where your users are feeling stuck and unproductive?

    Unlocking Unconventional Data for Deeper Insights:

    Most AI products today heavily leverage text data. Read.ai, however, took a different path, recognizing the untapped potential of video and metadata. Shim’s “aha!” moment came from observing reflections in someone’s glasses during a virtual meeting, sparking the idea to analyze video for sentiment and engagement.

    This highlights a critical lesson for product managers: look beyond the obvious data sources. While text transcripts are valuable, they are just one layer of the story. Consider the rich data exhaust often overlooked – video cues, metadata like speaking speed, interruption patterns, response times to emails and messages. As Shim points out, “large language models don’t pick up” on the crucial reactions and non-verbal cues that humans instinctively understand.

    By incorporating this “reaction layer,” Read.ai’s summaries became materially different and more human-centric, highlighting what truly resonated with participants based on their engagement, not just the words spoken. For product managers, this means thinking creatively about data. What unconventional data sources can you leverage to build richer, more insightful AI experiences?

    Hybrid Intelligence: Marrying Traditional and Modern AI:

    Read.ai’s architecture is not solely reliant on LLMs. In fact, Shim reveals that “90% of our processing was our own proprietary models” last month. They strategically use LLMs for the “last mile” – for generating readable sentences and paragraphs – after their proprietary NLP and computer vision models have already done the heavy lifting of topic identification, sentiment analysis, and metadata extraction.

    This hybrid approach is a powerful strategy for product managers. It emphasizes the importance of building core intellectual property rather than solely relying on wrapping existing foundation models. While LLMs are powerful tools, defensibility often lies in unique data processing, specialized models for specific tasks, and innovative feature combinations.

    Product-Led Growth and Horizontal Market Vision:

    Read.ai’s explosive growth, adding “25,000 to 30,000 net new users every single day without spending a dollar on media,” is a testament to the power of product-led growth (PLG). This PLG engine is fueled by the inherently multiplayer nature of meetings. When one person uses Read.ai in a meeting, everyone present experiences its value, organically driving adoption.

    Furthermore, Read.ai consciously chose a horizontal market approach, resisting the pressure to niche down initially. Shim’s belief that “this is more mainstream… from an engineer at Google leads it to a teacher to an auto mechanic” proved prescient. Their user base spans diverse industries and geographies, highlighting the broad applicability of their co-pilot vision.

    For product managers, this demonstrates the power of designing for virality and considering broad market appeal, especially when building truly transformative products. Sometimes, focusing too narrowly early on can limit your potential impact.

    The Co-pilot Everywhere Vision and the Future of Optimization:

    Read.ai’s evolution from meeting notes to a “co-pilot everywhere” reflects a profound shift in AI’s role in productivity. It’s not just about generating content; it’s about optimization, action, and seamless integration into existing workflows. Shim envisions a future where Read.ai “pushes” insights to tools like Jira, Confluence, Notion, and Salesforce, and also “pulls” data from various sources to provide a unified, intelligent work assistant.

    This vision aligns with the emerging trend of AI agents. However, Shim emphasizes that the real power lies in practical integrations and seamless data flow between different work platforms, rather than just standalone agents. “You want your JIRA to talk with your Notion, to talk with your Microsoft, to talk with your Google, and talk with your Zoom,” he explains.

    For product managers, this means thinking beyond single-feature AI products. The next wave of innovation will be in building interconnected, optimized AI systems that proactively assist users across their entire workflow. It’s about moving from “draft AI” – generating content – to “optimization AI” – driving action and improving outcomes.

    Key Takeaways for Product Managers Building Next-Gen AI Products:

    • Focus on Real Problems: Start with genuine user pain points, not just technological possibilities.
    • Explore Unconventional Data: Look beyond text for richer, more nuanced insights.
    • Embrace Hybrid AI Architectures: Combine proprietary models with LLMs for defensibility and specialization.
    • Design for Product-Led Growth: Leverage inherent network effects and broad market appeal.
    • Vision Beyond Content Generation: Aim for optimization, action, and seamless integration into workflows.
    • Prioritize Value over Hype: Build solutions that deliver tangible ROI and improve user lives.
    • Iterate and Adapt: Constantly learn from user feedback and market dynamics to evolve your product.

    David Shim and Read.ai’s journey offer a compelling blueprint for product managers aiming to build the next generation of AI products. By focusing on genuine user needs, leveraging unconventional data, and envisioning a future of optimized, interconnected AI, product leaders can unlock the true potential of AI to transform the way we work and live.


    Nataraj is a Senior Product Manager at Microsoft Azure and the Author at Startup Project, featuring insights about building the next generation of enterprise technology products & businesses.


    Listen to the latest insights from leaders building the next generation products on Spotify, Apple, Substack and YouTube.

  • How Scispot is redefining modern biotech’s data infrastructure

    How Scispot is redefining modern biotech’s data infrastructure

    Biotech is becoming one of the world’s single biggest generator of data, expected to reach 40 exabytes a year by 2025—outstripping even astronomy’s fabled data deluge. Yet as much as 80 percent of those bytes never make it into an analytics pipeline. Three bottlenecks explain the gap: (1) stubbornly paper-based processes, (2) binary or proprietary instrument file formats that general-purpose integration tools cannot parse, and (3) hand-offs between wet-lab scientists and dry-lab bioinformaticians that break data lineage.

    Verticalization 2.0: Solving for Domain-Specific Friction

    Enter Scispot, a Seattle-based start-up founded in 2021 by brothers Satya and Guru Singh, which positions itself not as an electronic lab notebook or a data warehouse, but as a middleware layer purpose-built for life-science R&D, quality and manufacturing. The strategic insight is subtle and powerful: horizontal cloud platforms already exist, but they optimize for structured, JSON-ready data. Biotech’s heterogeneity demands schema-on-read ingestion and ontology mapping that an AWS or Snowflake cannot supply out of the box.

    Scispot’s architecture borrows liberally from modern data stacks—an unstructured “lake-house” for raw instrument output, metadata extraction via embeddings, and API access to graph databases—but is wrapped in compliance scaffolding (SOC 2, HIPAA, FDA 21 CFR 11) that is prohibitively expensive for labs to build alone. The company is effectively productizing the cost of trust, a move that mirrors how Zipline built FDA-grade logistics in drones or how Databricks turned Apache Spark into audit-ready enterprise software.

    YC’s Real Dividend: Market Signal Discipline

    Although accepted to Y Combinator on the promise of a voice-activated lab assistant, Scispot pivoted within weeks when early interviews revealed that customers valued reliable data plumbing over conversational bells and whistles. This underscores a counter-intuitive lesson from YC alumni: the program’s most enduring value may not be its brand or cheque, but its insistence that founders divorce themselves from their first idea and marry themselves to user-observed pain.

    That discipline paid off. Scispot signed its first customer before writing a line of production code—a pattern consistent with what Harvard Business School’s Thomas Eisenmann calls “lean startup inside a vertical wedge.” By focusing on a tiny subset of users (labs already running AI-driven experiments) but solving 90 percent of their total workflow, the brothers accelerated to profitability in year one and maintained “default alive” status, insulating the firm from the 2024 venture slowdown.

    Why Profitability Matters More in Vertical SaaS

    Horizontal SaaS vendors can afford years of cash-burn while they chase winner-take-all network effects; vertical players rarely enjoy those economies of scale. Instead, their defensibility comes from domain expertise, proprietary integrations and regulatory moats. Profitability becomes a strategic asset: it signals staying power to conservative customers, funds the painstaking addition of each new instrument driver, and reduces dependence on boom-and-bust capital cycles.

    Scispot’s break-even footing has already shaped its product roadmap. Rather than racing to become an all-in-one “Microsoft for Bio” suite, the team is doubling down on an agent-based orchestration engine that lets instrument-specific agents talk to experiment-metadata agents under human supervision. The choice keeps R&D burn modest while reinforcing the middleware thesis: be everywhere, own little, connect all.

    Lessons for Operators and Investors

    1. Treat Unstructured Data as a Feature, Not a Bug. Companies that design for messiness—using vector search, ontologies and schema-on-read—capture value where horizontal rivals stall.
    2. Compliance Is a Product Line. SOC 2 and HIPAA are not check-box exercises; they are sources of price premium and switching cost when woven into the core architecture.
    3. Fundamentals Trump Funding. YC’s internal analysis, echoed by Sizeport’s trajectory, shows no linear correlation between dollars raised and long-term success. Default-alive vertical SaaS firms can wait for strategic rather than survival capital.
    4. Remote Trust-Building Is a Competency. Sizeport’s COVID-era cohort had to master virtual selling and onboarding. As biotech globalizes, that skill set scales better than another flight to Cambridge, MA.

    What Comes Next

    Sizeport’s stated near-term goal is to become the staging warehouse for every experimental data point a lab produces, integrating seamlessly with incumbent ELNs and LIMS. Over a five-year horizon, the company aims to enable customers to mint their own AI-ready knowledge graphs—effectively turning drug-discovery IP into a queryable asset class. If successful, the platform could evolve into the “Databricks of Biotech,” but without owning the data outright.


    Nataraj is a Senior Product Manager at Microsoft Azure and the Author at Startup Project, featuring insights about building the next generation of enterprise technology products & businesses.


    Listen to the latest insights from leaders building the next generation products on Spotify, Apple, Substack and YouTube.

  • #17: Kirby Winfield GP Ascend.vc

    In this Episode of Startup project (https://thestartupproject.io/) , Nataraj talked to Kirby Winfield, Founding GP of Ascend.vc (pre-seed fund based in Seattle).

    Prior to founding Ascend.vc, Kirby was part of founding teams at Go2Net (GNET), Marchex (MCHX), Dwellable (Acquired by Home Away (AWAY)) & AdXpose (Acquired by comScore (SCOR)).

    Ascend has recently emerged as one of the most important pre-seed funds for Seattle based companies. Check out the fund’s portfolio here. Kirby’s blog post on how to create a deck is easily the best blueprint for any one who is new to venture to follow.

    Full conversation includes:

    ▪️ Through line of a successful career
    ▪️ How can companies strategize for an exit?
    ▪️ The why behind starting a pre-seed fund focussed on Pacific Northwest
    ▪️ Helping startups from zero to one
    ▪️ Price discovery of startups in current private markets

    Check out the full conversation below or wherever you get your podcast fix.

    🎧 Spotify: https://open.spotify.com/episode/5lVJtoUyIESGftMdfExixx?si=8dcec4527b514b65
    🎧 Youtube: https://youtu.be/5uMdazKrC0k