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Salman T. Jaffrey
Venture Capital Investment, Innovation & Impact
Salman Jaffrey is a prominent figure in the investment world, dedicated to helping individuals navigate the complexities of investment decisions with a blend of informed intuition and radical candor. His expertise spans various venture stages including pre-seed, seed, series A and B, with a focus on impact-driven sectors such as sustainability, smart-city solutions, ag-tech, health-tech, ed-tech, fintech, enterprise SaaS, mobility and logistics, ecommerce, data analytics, AI, and deep-tech. Salman excels in areas like venture capital, investment strategy, deal origination, due diligence, valuation, term sheets, investor agreements, negotiation, startup mentorship, portfolio management, fund management, consulting, venture building, entrepreneurship, corporate innovation, transaction advisory, stakeholder management, and corporate development.
Highlights
Balancing Story and Spreadsheet: Building Long-Term Value Through the Cycle, by Tidemark
‘Stories and spreadsheets are two threads of a fundamental rope, twining together to answer a question: what is a company worth?
Spreadsheets are scoreboards that, when combined with current trading multiples, describe what a company is worth. Stories describe what an entrepreneur can build to support the spreadsheet's assumptions. Eventually, the validity of every story is proven in the spreadsheet.
Both stories and spreadsheets are critical to entrepreneurs and investors alike. They drive not only your valuation but your success at every step of the journey.
Ignore spreadsheets and current values, and you will have to raise money at a more dilutive price than you’d like (or worse yet, not be able to raise). Forget the longer-term story, and you will allow incumbents to catch up or startups to spring up from the weeds and overtake you.’
Read the full piece on https://lnkd.in/dq5Tbb-s
#venturecapital, #entrepreneurship, #startups, #investment, #innovation
The Data Revolution in Venture Capital, by Ryan Hoover and Vedika Jain at Weekend Fund
‘It’s estimated that more than 75% of VC deal reviews will be informed using AI and data analytics by 2025. VCs increasingly leverage data for sourcing, evaluating, and managing their investments.’
TL;DR
• Timing is more opportune than ever for data-driven venture. We’re seeing an explosion of data on private market companies, advancements in analytics capabilities driven by improvements in AI/ML, and increased availability of off-the-shelf software.
• Data is becoming core to the competitive advantage for more funds. EQT Ventures’ Motherbrain has helped them make investments valued over €200M+. Tribe Capital’s Termina utilizes extensive benchmark sets to offer unique insights to founders that are otherwise unattainable.
• Most VC funds balance machine-driven and human-driven approaches, using data alongside qualitative assessments. For some funds we spoke with, such as the AngelList Early-Stage Quant Fund, data-driven investing is core to their strategy. Most funds use a hybrid human-machine approach. An over-reliance on data may miss the broader point and lack creativity in identifying outliers in people or opportunities.
• VCs are using data to gain a competitive edge in deal sourcing. Data-driven approaches can identify promising startups, trends, and market gaps that might be overlooked using traditional methods. Data can also help with tracking a large volume of startups, automating follow-up triggered by information changes, and increasing the number of touchpoints with companies.
• Some VCs are also using data-driven diligence to speed up diligence and make more informed decisions. Data-driven due diligence processes involve analyzing a startup's financial metrics, market trends, competitive landscape, and other relevant data points to predict its potential for success better.
• There are trade-offs to data-driven VC. Pros include increased scalability, greater efficiency, and the ability to build competitive advantages. Cons include high costs, a reliance on the availability and quality of data, a false sense of security, and a narrow focus.
AngelList Early-Stage Quant Fund • Chapter One • Basis Set • EQT Ventures • Level Ventures • Hustle Fund • Greycroft • Tribe Capital • Hoxton Ventures • Koble • Harmonic • Termina • General Catalyst
Read the full piece on https://lnkd.in/de9J8jDB
#venturecapital, #entrepreneurship, #startups, #investment, #innovation
