Use Case

JPK
Use Case

Exploring the start up world in India and learning from some of the most accomplished entrepreneurs, investors, and CXOs in India. Part of turnaround.substack.com turnaround.substack.com

  1. Investing in Deep Tech & AI with Manish Singhal, Pi Ventures

    09/08/2021

    Investing in Deep Tech & AI with Manish Singhal, Pi Ventures

    In 1956 at the Dartmouth workshop, the idea we’ve now come to know of as artificial intelligence was sown. John McCarthy of Dartmouth college named the field, Artificial Intelligence. After the initial excitement, the artificial intelligence winter set in. With the availability of large amounts of data and computing power, we’re seeing a revival in AI. Several fields are being transformed by artificial intelligence now. And that includes writing. A few months ago, I’d interviewed Paul Yacoubian, the founder of Copy.ai. He is easily one of the most interesting entrepreneurs to watch out for. In just four months, his startup, Copy.ai had gone from $0 to $50,000 in monthly recurring revenue. The company uses the language model GPT3 to write marketing copy. And the traction it is seeing is proof that thousands of people are using it. It’s not just writing that’s being transformed by AI. It has found applications in several fields, including healthcare, manufacturing, banking, and finance. We figured it is about time we had someone on the show to talk about AI. In this episode of the Use Case podcast, we talk to Manish Singhal, the founder of Pi Ventures on investing in AI and deep tech companies. Pi Ventures is a Bangalore-based fund that only backs companies that uses deep technologies like AI to solve real-world problems. Timestamps 3:01: Why did Pi Ventures choose to invest in deep tech and its thesis. 6:36: On cancer screening tech from Niramai and mental health company Wysa. 10:50: On Pi Ventures fund II. 13:02: What has changed in deep tech for it to become investible now? 14:52: How Pi Ventures invests. 17:08: Understanding Demand & Supply Resonance Maps 24:24: India’s place in deep tech 28:33: Incremental innovation and 10x innovation 29:34: Domestica capital in deep tech 32:03: Pi Ventures has 42% women-founded deep tech companies Link to Pi Ventures blog. This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit turnaround.substack.com

    36 min
  2. Venture Debt - the what, why and when not! With Ishpreet Singh, Stride Ventures

    03/08/2021

    Venture Debt - the what, why and when not! With Ishpreet Singh, Stride Ventures

    There is a saying that debt is often cheaper than equity. Our topic for today is venture debt, which has become mainstream in the Indian start-up ecosystem of late. In 2019-20, the total amounts raised by venture debt funds was about $62 million which jumped to about $85 million in 2020-21. As the pool of growth stage start-ups increase, it is fast becoming an attractive non-dilutive alternative to equity financing. Not just that. In many cases, it is a great additive to equity financing as a bridge round. Say you are at a Series B stage company and you know you have to raise the next round in the coming year, but if you were to go out to the market today and raise capital you will get a lesser valuation than what you would if you improve your numbers over the next 10-12 months and then raise. To get that extra 10-12 months runway, Venture Debt can be an alternative to bridge rounds. Our guest on the podcast today is Ishpreet Singh Gandhi, the Managing Partner and Co-founder of Stride Ventures, one of India's leading venture debt funds. You could listen to the episode on the browser above or on Spotify/ Apple Podcast/ Google Podcast by clicking the play button below: Here are parts of the transcript (edited slightly for better readability): Ravish: A good point to start off with might be to understand what venture debt is. Traditionally, we've looked upon debt as a bad thing. Now, venture debt comes in at the stage where a lot of companies do not have the traditional cash flows or even assets (which has been the traditional way for underwriting term loans by banks). You've worked with multinationals as well as start-ups. I know that Lendingkart and Rivigo were some of the first start-ups that you lent to while you were at IDFC. Two questions – what is venture debt and at what stage of a start-up’s life cycle should one explore raising venture debt? Ishpreet: So venture debt becomes available in eligibility once you've raised your first institutional capital. So moment you raise a venture capital round with an equity infusion of around $4-5 million, you become eligible for venture debt for a very early stage company. And it can go to later stages as well because you remain backed by some of the institutional investors by then. In terms of standard offering, a traditional venture debt product is typically coming on top of venture capital round. So the moment you have a venture capital infusion, you can club your financing with venture debt. Say hypothetically you're a company that is planning to raise ₹50 crores, and you believe that ₹40 crores are getting committed from the VC. The remaining ₹10 crores, you say, okay I do not want to dilute for this capital and that 10 crores can be replaced with the venture debt option, which ends up getting repaid over a period of next 2 to 3 years. And while doing that you pay a certain interest rate plus you give a certain portion of warrants in the company, which can be 10-15% of the debt amount. And that typically ensures that you do not dilute your stake in the company for those ₹10 crore rupees. It's been a very widely used tool in the US and the mature economies. It came in existence in the 70s-80s in the US when Venture Capital started coming in and today constitutes a very large portion of the US equity market. Its size ranges anywhere from 13-15% of the Venture Capital market in the US. And some of the other economies like Europe, it will be 8-10%. It's gaining steam in India – it will be around 3-4% of the Indian Venture Capital market today. We think it can be a billion-dollar market in the next one and half years because it is closely correlated with the Venture Capital market and we have seen that grow exponentially over the years. Our whole purpose remains - how it can be used by founders. Because a lot of founders realize while raising rounds that they end up diluting a lot, which could have been replaced by debt. The other point, which you have to unders

    52 min
  3. 26/07/2021

    Term sheets are F*ing complicated; Kushal Bhagia explains them best!

    Why this topic for this season’s first episode - A few days ago, one of my best friends from college got an offer from a Thrassio like set up to buy X% stake in her D2C company. Now she had bootstrapped and built this business from absolute zero to a multi-crore turnover company with ~30% margins on each sale! Yet she felt absolutely lost and helpless during the negotiations because she had no clue how pre-money and post-money valuations worked. As a builder and an operator, her primary skill set was building stuff. On the other side of the table were multiple ex- PE guys whose only job was to do these calculations and negotiations inside out. At that stage, I realised how important it is to understand how valuations, dilution and investor rights in term sheets work. I figured, if ever I want to start up myself - THEN would NOT be the right time to know about these basics. Moreover, working at start ups mean you’re working for ESOPs and to know what the value of ESOPs could be at various stages, one must understand how dilution and liquidation preferences work. So, in this episode of the Use Case podcast, I’m thrilled that Kushal Bhagia, who is the founder and CEO of First Cheque, could join us to explain these important concepts. He’s a super founder friendly investor who has been trying to educate the market on these concepts with his Youtube series called “Know your termsheet”. These are some of the things we cover in this episode. They’ll help you make sure you’re getting a fair deal. * 04:00 - Context setting * 07:50 - Your company has a value only because an investor is putting money in it - fir that new shares are created -> dilution happens; pre-money and post-money explained with an example * 13:20 - Key items agreed in a term sheet; terms and conditions that come with this collateral free money that you get; tag along rights, pre-emptive rights. * 26:00 - If an exit happens, in what order and how much will people get money; preferential shares, participating and non-participating shares * 35:00 - Special case of accelerators, pre-seed rounds, convertible debt (YC specific - SAFEs) * 44:00 - What bets do VCs like to make? Honestly, expect a no. Listen to this episode in your favourite podcasting app: This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit turnaround.substack.com

    54 min
  4. 12/04/2021

    Pricing strategies for Indian startups

    One of the most common things you hear in the world of startups is “We weren’t able to monetise.” The theme that often plays out is this - the team gets excited about an idea - they start working on it - they talk to customers and if everything works out, they build a great product with an obvious demand in the market. However, in this entire journey as engineers and product enthusiasts we first build the full product and then, almost as an afterthought, decide what to price it at and how to sell it! Pricing strategy is an important concept that must be incorporated into the plan from Day 1 - even before execution because if you know what your potential customers are willing to pay for, you will automatically prioritise features to fit the price (a.k.a cost based pricing). In this episode with Dr Sreelata Jonnalagedda, Associate Professor at IIM Bangalore - we discuss how startups can adopt a pricing strategy that is right for them. In the short 30 minutes, I think Dr Sreelata managed to squeeze at least 6 case studies and examples discussing everything from decoy pricing to predatory pricing. Here are 3 of my favourite examples from the episode: Framing - Make it difficult to compare competitors’ features! Especially for SaaS. Prof Sreelata gives a very interesting example comparing Dropbox and Google Drive. Now, there is not a lot of difference in cloud storage, right? Whether you store your files in A or in B, ultimately as a consumer you are deriving similar value from both. So what would you do? You would go with whatever is the cheapest! But here is something successful startups do - they make it difficult for users to compare features against their competitors’ products. This works where there is not a lot of scope for differentiation in product offering. Dropbox has a loooong list of features across its plans and even if I open the website from India, it still prices the storage in US $. ¯\_(ツ)_/¯ Most users hate doing complicated maths and making detailed price to value comparisons for every purchase. Framing your pricing with the offering in a way that makes it harder to compare your product is a smart option. We share key lessons on Product Management and Venture Capital by experts from the Indian start up ecosystem, straight to your inbox. Do subscribe - no spam, ever! Predatory Pricing: Uber, Ola, Swiggy, Jio, Delhivery, Bounce Many times market disruption involves new habit creation. Think about the early days of e-commerce when products were priced at massive discounts to incentivise first time online shoppers to buy goods online. Or when as Indians we first learnt to ditch the then omnipresent autos for cabs because they cost the same as taking an auto anyway. Predatory pricing is a technique where you price your product (say, P1) lower than the equilibrium price in the market (P0 in graph 1) for same or similar products. This allows you to capture a significant market share. Once you’ve built enough customer loyalty to your platform/ product, you change the demand curve altogether. Now if you increase the price from P1 to P2 (i.e., P2>P1), some customers will stop buying your product but some will stay back because there is an exit cost/ switching cost to leaving your product. It’s a very aggressive pricing strategy that only those startups that are heavily funded by big growth stage investors are able to follow. It is not something that you can do for a short duration as an experiment and hope to build enough customer loyalty to achieve customer loyalty. Building loyalty at scale takes both time and big coffers! So do it only if you can afford both. Bundling - Get Amazon/ Times Prime for ₹999! Perhaps one of the best example for bundling implemented in the Indian context is Times Prime. For just ₹999 you get subscriptions from Gaana, Sony Liv, ET Prime, TOI, Google One apart from several other benefits from other partners. I’m not a Times Prime user, but when I looked at

    32 min
  5. 09/03/2021

    How to measure and value a SaaS company? With Shripati Acharya, Prime Venture Partners

    If you’re a data driven professional, in all likelihood this episode is for you. There are also some interesting analysis techniques I came across this week, that I thought I’d share. Check them out at the end of this email below !!! Do subscribe to the newsletter if such topics interest you! No Spam, ever! On the show today JPK and I got a chance to speak with Shripati Acharya, Managing Partner at Prime Venture Partners on how to measure various SaaS Metrics and why valuations are a geometric function of growth. An astute mind, I’m just surprised how calm successful people like him are and they way they structure their thoughts so well. Of the many cool things Shripati shares, here were my top 3 learnings from him: A better way to measure LTV As common as this metric is, it is also the most mistaken one. Broadly Lifetime Value or LTV is a measure of how valuable a product is to a user. At the very basic level it can be defined as the Average Revenue Per User (ARPU) divided by the churn. The numerator is a signifier of how much value the product has to the client/user over an average contract period. Shripati argues that instead of using revenue, one should use contribution margin in the numerator. Using ARPU would imply a $1000 product with 10% CM and a $1000 product with 20% CM have the same LTV. But this false sense of pegging value to revenue can lead to costly errors in customer acquisition, he argues. Next, the denominator relates to the customer lifetime. The lower the churn, the higher the customer lifetime. As Sripathi puts it, “If monthly churn is 10%, customer lifetime is 1/0.1. = 10 months. Meaning in 10 months substantially all the customers acquired today would leave (pretty bad business).” But there is a problem here. Shripati has written quite extensively on this before: Startups frequently arrive at pretty attractive customer lifetime figures in their initial days. If a service launches and in the first 6 months only 5% of customers churn, it appears like the startup has achieved a 10% annual churn or a 10 year customer lifetime! Calculating customer lifetime by inverting churn can lead to sky-high customer life-times. Early data does not truthfully reflect customer behaviour over the long term and also suffers from skew due to early adopter behaviour being very different from mainstream users This can lead to all kinds of disastrous downstream effects such as investing in expensive sales channels that soon prove to be uneconomical.  His advice: Early-stage startups should focus more on customer payback, ie the time period for recovering customer acquisitions cost (CAC), than calculated LTV. In the absence of customer data, using a sub-24-month payback to inform the choice of sales and marketing strategies is prudent. Companies A & B have same revenue today, A’s revenue growth rate is 2x of B’s. Why should B be valued 4x/8x/ possibly16x of B? The chart below from a paper by Morgan Stanley, ‘The Math of Value and Growth’ (link here) shows that the relationship between growth and the P/E is convex. Small changes in growth expectations can lead to large changes in the P/E, especially when growth rates are high. The key point is that a company growing faster should enjoy a multiple that grows geometrically with the growth rate, not linearly. This is why SaaS companies that make the same revenue can have very different valuations - and as Shripati notes founders need to recognise this before asking “Why is that company valued so much and not mine?” How much is 20% NDR worth in the long run? In a similar context, JPK also made an important observation of how important Net Dollar Retention or NDR is to SaaS companies. Imagine three companies: one at 120% NDR, one at 140% NDR and the last at 160% NDR. In five years, assuming all else is equal, how much bigger is the last company than the first? The answer is 4.2x - four times bigger! Each marginal 20% of NDR is a doubling of company

    35 min
  6. 08/02/2021

    Pratik Poddar, Nexus VP on Outcomes, Ed-Tech, VC investments and more

    The importance of thinking in outcomes When Gaurav Munjal, the founder and CEO of Unacademy was pitching to Nexus, he was asked - how could a company offering video test prep solutions scale in a country with such poor internet bandwidth (this was the pre Jio era)? He simply pointed the committee to the fact that the lessons were not a video - they were instead a slide deck with a pointer made to look like a video! He could have switched on mumbo jumbo mode and talked about fancy compression algorithms for running videos on low bandwidth that would give Pied Pipper a run for its money, but instead he was thinking not about features, but about the outcome - which at the end of the day was to help people crack UPSC and not stream high quality videos. As founders and PMs it’s often that we get lost in a complexity of our own design and forget to think about the problem that the company/ product is trying to solve. We get obsessed by features. When I asked Pratik Poddar of Nexus Venture Partners, our guest on this episode of the podcast about his thesis for evaluating companies, his answer was quick - Is the company/product outcome oriented? And that got me thinking, just as for a company (for a founder) it is important to think about outcomes, for us as PMs it becomes imperative to ask ourselves - will this feature/ product solve something or is positioned in a way that the user feels an intrinsic need to use the product? If so, then the outcome of using the product will automatically be clear to the user - enticing a willingness to pay/ try out the product. Not only that, it would also lengthen the average time spent by the customer on your product. If you enjoy such content, do consider subscribing to the newsletter. We promise to not spam - ever! Personally, I’ve seen the massive difference this approach brings. When we started indiagold, we set out to build a Gold backed Open Credit Enablement Network (GOCEN) offering gold loans. But in order to increase our topmost acqui-funnel and encourage word of mouth, we offered a product called Digital Gold. Now, digital gold is something you can find on almost all major apps like Paytm, Google Pay, etc. People buy and sell gold - mostly with a trader mindset. But that is not something we wanted. We asked ourselves, what is the intrinsic motivation for Indians to buy gold and how do we replicate that virtually? We found the answer in the fact that deep down in the our minds, gold is a form of savings for an Indian household. We immediately changed the positioning of the same product designed for a trader mind to that for a savers mind. We pictorially depicted a user’s progress in saving gold in grams which encouraged them to keep buying again and again in an amount of their choice like ₹50,₹100, ₹200 (rather than trading in a one of instance). We also gave the option to a user to convert this digital gold into physical gold (again, the emotional satisfaction of holding physical gold in your hand bought out of your own savings). This encouraged stickiness. And it’s abundantly clear that VCs like Pratik value that. Which is something he also talked about on the podcast on the 2 kinds of business models that he looks out for. Now, to listen to the 2 kind of models, you will have to listen to the show. It’s a ~30 odd minutes episode and very insightful. You could listen on the audio file above or on your favourite podcasting app. Let us know what you think! Share it with your friends if you like it - you could forward this email/ share it on Twitter/ do you thing buddy - get those bragging rights! This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit turnaround.substack.com

    32 min
5
out of 5
20 Ratings

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Exploring the start up world in India and learning from some of the most accomplished entrepreneurs, investors, and CXOs in India. Part of turnaround.substack.com turnaround.substack.com

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