LetsVenture’s Post

🚀 Day 81 of #150DaysOfCode Journey! 🚀 Question 502: IPO Description: Suppose LeetCode will start its IPO soon. In order to sell a good price of its shares to Venture Capital, LeetCode would like to work on some projects to increase its capital before the IPO. Since it has limited resources, it can only finish at most k distinct projects before the IPO. Help LeetCode design the best way to maximize its total capital after finishing at most k distinct projects. You are given n projects where the ith project has a pure profit profits[i] and a minimum capital of capital[i] is needed to start it. Initially, you have w capital. When you finish a project, you will obtain its pure profit and the profit will be added to your total capital. Pick a list of at most k distinct projects from given projects to maximize your final capital, and return the final maximized capital. The answer is guaranteed to fit in a 32-bit signed integer.   Example 1: Input: k = 2, w = 0, profits = [1,2,3], capital = [0,1,1] Output: 4 Explanation: Since your initial capital is 0, you can only start the project indexed 0. After finishing it you will obtain profit 1 and your capital becomes 1. With capital 1, you can either start the project indexed 1 or the project indexed 2. Since you can choose at most 2 projects, you need to finish the project indexed 2 to get the maximum capital. Therefore, output the final maximized capital, which is 0 + 1 + 3 = 4. Example 2: Input: k = 3, w = 0, profits = [1,2,3], capital = [0,1,2] Output: 6   Constraints: 1 <= k <= 105 0 <= w <= 109 n == profits.length n == capital.length 1 <= n <= 105 0 <= profits[i] <= 104 0 <= capital[i] <= 109 #TopInterview150 #150DaysOfCode #VITBhopal #VITBhopalLions #vitbhopal #vitbhopallions #150daysofcode #drgviswanathanchallenge #drgviswanathan #DrGViswanathan #DrGViswanathanChallenge

YES. They are Doers and they raise FAST because they understand TIME. I worked with 1000+ founders. Dreamer founders spend 12 months trying to raise, and still don’t even succeed. Versus Doer founders get it done in 3-4 months. Go be a DOER! #capitalraising #startups #seedfunding

LOVED this article from Cake, figured why not share it with y'all! I was lucky enough to meet a lot of the Cake team during my time at AWS, an awesome team doing incredible things for the AUS Startup community. 7 Costly and time-consuming capital raising mistakes to avoid: 1. Share split 2. Members approval 3. Shareholder agreement 4. Disclosure requirements 5. Credible valuation 6. Number of shareholders 7. Stock option pool From our personal experience at B Found, we've been surprised at the weight a lot of the above holds with investors, to the point where certain responses will rule out any form of investor conversation before it's even started. 🤷♂️ Link to article in the comments!

The key to success for Deep Tech Hardware companies raising capital, all on one napkin 🗝️ Two days ago, First Momentum Ventures broke ground with their Deep Tech Hardware Napkin, taking inspiration from the famous SaaS Napkin from Point Nine 💥 Through collecting over 100+ data points from over 30 other Deep Tech VCs, they broke down what it actually takes for Deep Tech Hardware companies to raise capital. In this awesome report, they break down: 💰 Funding metrics 🤝 Deep Tech teams 🔨 Technology & product 📈 Commercialization & revenue If you're a founder or investor in the space, this report is a must for you. Link in the comments below 👇🏽🔗. A huge shoutout to the First Momentum Ventures team for this guide 👏🏽. #deeptech #guide #venturecapital

Thank you, Walla, for the chance to talk about this important topic! After working closely with VCs, and diving into revenue analytics for some of their portfolio companies, we saw how much easier it is for investors to make smart decisions when they have transparency into a startup’s day-to-day performance. That’s where #RevOps steps in — it doesn’t just keep internal teams aligned: it opens up critical visibility investors need. Suddenly, they’re not just board members—they’re part of the journey, actively supporting growth with insights that make sense of the numbers. For us, that’s what modern startup management is all about: using RevOps to bring investors in as partners, grounded in clear, actionable data. Check out the full article here >> https://lnkd.in/dQxWPffe

I recently sat down with Alon Zieve, CEO of Aption, to explore a question that's rarely discussed in the startup ecosystem: how can founders better manage their concentrated equity positions? While VCs naturally spread risk across portfolios, founders often have most of their net worth tied to a single company. Alon shares how equity pooling could fundamentally change this dynamic, offering founders new ways to think about their financial future. Watch the full interview: https://lnkd.in/d9nXKNKe 💡 Curious about what’s really happening behind the scenes in the startup world? Follow me for more fresh data, expert insights, and unfiltered founder stories!

ServiceTitan Files S-1: IPOs Are Coming Back! Last valued at $9.5B in 2021 or a 15.5x revenue which is a premium Let’s jump right in: exciting startups going public often command premium multiples, especially when compared to the average public SaaS companies trading at around 7x revenue. Assuming they aim to IPO at $10 billion—plus the well-known first-day IPO pop—it wouldn’t be surprising to see their valuation soar to 20x or more. Of course, that’s a whole other discussion.

When I joined one of my ventures as a co-founder, I found myself rewriting our entire codebase from scratch within a few months. As I learned more about the business, it became clear that data was critical—we needed to store and log everything. But in my haste, I made a decision that didn’t hold up: I chose to store immutable data using a model snapshot approach. This choice quickly proved problematic. Within three months, it was clear the solution wasn’t working. Migrations were complex and time-consuming because future data relied on past snapshots, making any change to past data a mess. The complexity snowballed, and it became evident that sticking with this approach would be more trouble than migrating to something better. Over the next year, we gradually shifted to event sourcing while keeping our operations running. Instead of changing use case logic directly, we added new versions, capturing changes as events rather than static snapshots. This made it much easier to modify past data and validate states, streamlining our analytics and overall operations. The lesson? Technical decisions made in the moment can have long-term consequences. It’s important to think about the future and be prepared to adapt when things don’t go as planned. Mistakes happen, but taking the time to rethink and adjust can make all the difference. Thoughts? #technology #systemarchitecture #founders #saas #CEO #CTO #engineering #startups

Are the CIOs in our community leveraging LLM automation in production? #CIOLeadership #TechStrategy #DigitalTransformation #Innovation #CloudComputing #Cybersecurity #DataAnalytics #ITInfrastructure #FutureOfWork #DigitalInnovation

LLMs can really help startups in the US or EU cut CS and some ops costs, though not as helpful in markets with low labor costs such as BRIC, SE Asia, LatAm, or Mena. In all markets, however, LLMs can make developers, marketers, and salespeople much more productive. For our case (Infina (YC S21) LLMs have helped our developers improve productivity on average more than 50% (cut dev time by half).