Jason and Alex kick off the show 0s
- The discussion starts with a complaint about companies upselling AI features, with a request to include the best features for everyone without extra costs 0s.
- The host, Jason Calacanis, promises to discuss his two favorite products and then move on to other topics 21s.
- The podcast "This Week in Startups" is sponsored by Coda, which empowers startups by bringing words, tables, and teams together to strategize, plan, and track goals effectively 35s.
- Other sponsors include Lemon, which offers vetted remote developers, and Gusto, which provides easy online payroll, benefits, and HR for modern small businesses 53s.
- Jason Calacanis welcomes everyone back to the show and introduces his co-host, Alex Wilhelm 1m16s.
- Alex Wilhelm is doing well and getting into the festive spirit, but is jealous of Jason's ability to snowboard in Tahoe 1m21s.
- Jason Calacanis is in Tahoe and invites Alex to visit, mentioning that he got out for his first day of skiing the previous day 1m38s.
- Jason Calacanis aims to break his record of 40 days of skiing in one year by doing 41 days this year, and hopes that advancements in science and technology will allow him to ski into his 70s or 80s 2m24s.
- Jason Calacanis follows a schedule that allows him to work in the mornings, go skiing for a few hours, and then return to work, which he calls the "CEO program" or "VC program" 2m43s.
- Jason Calacanis takes notes on the ski lift and gets many great ideas while on the mountain, and also finds that taking a break from screens and notifications helps him come up with new ideas 3m5s.
Insights on Databricks' private fundraise and venture capital trends 3m38s
- Databricks has raised $1 billion in the private markets, with the company's Series J round aiming to raise $10 billion, of which $8.6 billion has been completed to date, leaving $1.4 billion remaining 3m55s.
- The funding is described as non-dilutive financing, which may imply a secondary sale, but the exact details are unclear, and it is being compared to a mezzanine round of financing 4m33s.
- Mezzanine rounds were previously used to bridge the gap between private and public funding, but they have become less common due to the abundance of private capital 5m42s.
- Venture capitalists have become more ambitious, staying involved with companies for longer periods, and some have started managing public equities, as seen in the case of Sequoia's public fund 6m0s.
- This shift in venture capital strategy is attributed to the success of companies like Google, which made more money for investors after going public, leading VCs to reevaluate their approach to investing and exiting companies 6m17s.
- Having enough equity in a company like Uber to be considered for a board position would be a significant opportunity, especially for those who were involved in the company's early stages and had conversations with its founders, Garrett and Travis Kalanick (TK) 7m1s.
- The opportunity set for entrepreneurs has become bigger over the last 20 years, with the number of people having broadband increasing from tens of millions to two or three billion, and the widespread adoption of mobile phones 7m42s.
- The market size has significantly changed, with nearly everyone having a mobile phone and being comfortable with online transactions, even in previously underdeveloped countries, where affordable options like $15 Android phones are now available 7m55s.
- This shift in market size and consumer behavior is contributing to the current funding landscape, where companies are staying private longer and receiving significant investments 8m30s.
Predictions on unlimited free energy, water, and food 8m37s
- Google's revenue growth is mentioned as an example of rapid expansion, with the company's revenue increasing from $220,000 in 1999 to $19 million in 2000, $86 million in 2001, $348 million in 2002, and $962 million in 2003 9m6s.
- This growth rate is highlighted as exceptional, with most growth stocks typically defined as having a 15% to 25% year-over-year growth rate 9m18s.
- The rapid growth of companies like Google is attributed to the increasing amount of time people spend with their smartphones, which are described as supercomputers with infinite storage, bandwidth, and network effects 9m31s.
Coda - Empower your startup with Codaās Team plan for freeāget 6 months 9m41s
- Coda is a collaborative workspace that combines document, spreadsheet, and database apps into one platform, allowing teams to consolidate knowledge and work more efficiently 9m44s.
- The platform is user-friendly, powerful, and has been used to create various applications, including a database to track investments and facilitate introductions between portfolio companies 10m16s.
- Coda empowers startups to strategize, plan, and track goals effectively by building systems of record, and a limited-time offer is available for startups to get six months of the team plan for free by visiting coda.io/twist 11m10s.
- Over the past 25 years, advancements in technology have led to everyone having access to a supercomputer, unlimited free bandwidth, and unlimited free compute and storage, with some limitations on GPUs 11m41s.
- The cost of using AI tools like ChatGPT is expected to follow the same trend line, becoming increasingly affordable and eventually free 12m13s.
- The cost of storage has become negligible, with options like Gmail offering free storage, and people can easily upgrade to paid plans for more storage 12m17s.
- The future of technology holds promise, with the potential for free energy, water, and food, which could be achieved through advancements in solar, batteries, nuclear, and wind power 13m9s.
- This could lead to unlimited free water and produce, as water is a function of energy, and produce can be powered by robots that pick and plant crops 13m34s.
- The future may also bring robots that can tend to fields, plant crops, and bring fresh produce to the table, making life easier and more convenient 13m52s.
- The potential for robots to replace cars and perform various tasks is exciting, and this future is expected to become a reality in our lifetime 14m14s.
The declining costs of cloud computing 14m25s
- Cloud computing is becoming increasingly cheap, with some predicting that it will eventually become essentially free, although this does not apply to AI computing which requires more powerful and expensive GPUs 14m28s.
- Data storage has also become very cheap, with some predicting that everyone will eventually have basically unlimited free storage 14m31s.
- Databricks, a cloud computing company, has seen significant growth, with over 60% year-over-year growth in Q3 and is expected to cross $3 billion in ARR and reach free cash flow positivity in its current quarter 15m2s.
- Databricks' growth has led to a high price-to-sales ratio of 20, which is relatively high compared to its contemporary Snowflake, which has a lower Enterprise Value to revenue ratio 15m12s.
- Snowflake's Enterprise Value divided by annualized revenue is 14.3x, and its Enterprise Value divided by forward revenue is 11.7, with 28% growth, 67% gross margins, and a 22% free cash flow margin 16m1s.
- Databricks is trading at a 50% higher premium than Snowflake, likely due to its higher growth rate 16m22s.
- A company's growth rate is an important factor in determining its market cap, and investors often look for high growth rates when valuing a company 16m33s.
- For early-stage entrepreneurs, it's essential to focus on sales and growth, as these factors can significantly impact a company's valuation 17m3s.
Evaluating growth rate for startup valuations 17m12s
- A startup's growth rate is crucial in driving its valuation, and if the growth rate is not high, the valuation will not receive a premium but rather a discount 17m16s.
- The Venture Community looks for startups with a clear path to reaching $100 million or $1 billion in revenue, and if the growth rate is not high enough, it may not see a viable path 17m35s.
- Snowflake had $900 million in product revenue in the last quarter, with a total of around $940 million including consulting, which puts it at a $4 billion annual revenue 17m43s.
- Snowflake is roughly one-third larger than Databricks but is growing less than half as quickly in percentage terms, implying that Databricks may outstrip Snowflake in total revenue scale next year 17m54s.
- Despite Snowflake being one of the fastest-growing and best-performing public companies since its listing, Databricks' growth rate may allow it to surpass Snowflake in revenue 18m6s.
- Snowflake's total revenue is around $4 billion a year, with a market cap of $55.7 billion, while Databricks is valued at $60 billion, despite having lower revenue 18m29s.
- The difference in valuation can be attributed to the difference in growth rates, with Databricks growing at 60% and Snowflake growing at 30% 19m3s.
- Based on the growth rates, Databricks is expected to catch up with and pass Snowflake in revenue in the next year, with Databricks potentially reaching $4.5 billion in revenue if it grows at 50% 19m19s.
Competitive landscape: Databricks vs. Snowflake 19m46s
- When considering AI today and in the next 5 years, Databricks appears better set up to capitalize on the AI boom, giving it more tailwinds compared to Snowflake 19m46s.
- To assess a company's potential, it's essential to look at its product roadmap and talk to customers, which is part of the job of a capital allocator 20m6s.
- Conducting diligence, even at early stages, involves talking to customers to understand if the founder has the right customers and to have a conversation about the company's direction 20m11s.
- It's crucial for entrepreneurs to choose the right customers, as having the wrong ones can be detrimental to the business, and some entrepreneurs may not receive honest feedback from VCs 20m20s.
- Entrepreneurs often receive positive feedback from VCs, but this may not always be genuine, and it's essential to receive candid feedback to make informed decisions 20m34s.
Lemon.io - Get 15% off your first 4 weeks of developer time 20m48s
- Founders often struggle with doing all their own software development due to the time and cost of finding great talent, which can take 6 months to a year and involves endless interviews and email chains 20m48s.
- Lemon.io offers a solution by providing thousands of on-demand developers who have been vetted to ensure they are results-oriented and super experienced 21m7s.
- The developers on Lemon.io have competitive rates, and the platform handles the integration process, making it easier for founders to find and work with great developers 21m24s.
- Lemon.io only offers handpicked developers with a minimum of 3 years of experience, and they must be in the top 1% of applicants 21m35s.
- If any issues arise, Lemon.io will find a replacement developer as soon as possible, and many Launch Founders have had great experiences working with the platform 21m44s.
- Founders can find their perfect developer or tech team in 48 hours or less by going to Lemon.io and using the promo code "twist" to get 15% off their first 4 weeks of developer time 21m57s.
The strategic importance of selecting the right customers 22m7s
- Selecting the right customers is crucial for a company's success, and choosing a niche market like nonprofits may not be the best approach as they are often not professionally or efficiently run and may not be willing to pay for services 22m19s.
- Instead of targeting nonprofits, it would be more beneficial to build a financial tool that can be used by anyone, such as a payment platform like Stripe, which can be used by a wide range of customers 22m43s.
- When choosing a beachhead customer, it's essential to pick one with the most money and who is the least discerning in terms of paying for the service 23m2s.
- The example of Uber's early days is given, where the company targeted Lincoln Town Car drivers and people who took Lincoln Town Cars at the airport because they were already spending a significant amount of money on transportation 24m36s.
- These customers were willing to pay a premium for the convenience and ease of use of Uber's service, unlike price-sensitive customers who would complain and ask for refunds 25m4s.
- It's advised to be a "rabid capitalist" and focus on making money first, rather than trying to do nonprofit work from the start, as this can be done later once the company is sustainable and strong 25m37s.
- Creating a nonprofit arm within a successful company can be a more effective way to do good, rather than trying to do it from the start and struggling to get funding 26m2s.
- Signaling to venture capitalists that returns are not a priority can make it difficult to secure funding, and it's essential to understand the implications of targeting a niche market like nonprofits 26m17s.
Venture capital communication and the ghosting phenomenon 26m34s
- Venture capitalists (VCs) often struggle with communicating their decision not to invest in a startup, as it can be a difficult conversation to have, similar to telling someone they're not interested in dating them due to physical appearance 27m23s.
- A Reddit thread on the Startups Forum highlighted the prevalence of "ghosting" by VCs, where they express interest in a startup and then suddenly stop responding 26m52s.
- The thread showed multiple instances of ghosting experienced by a single founder who pitched to numerous VCs, demonstrating how common the phenomenon is 27m1s.
- VCs often take the approach of saying they have other investments to prioritize, rather than providing detailed feedback on why they're not investing, as it can lead to arguments and additional emails 28m2s.
- There is ongoing debate about whether VCs should provide more detailed feedback to founders on why they're not investing, with some arguing it's helpful and others believing it's not necessary 28m14s.
- Providing detailed feedback can lead to founders arguing with the VCs' decision, making it a less desirable approach for some 28m31s.
- A more common approach is to simply state that the investment isn't a fit or that they have other priorities, without going into specifics 28m40s.
TikTok's ongoing legal challenges 28m43s
- TikTok is facing ongoing legal challenges, with a significant development being the DC Court of Appeals' denial of an injunction against the law on December 13th 29m1s.
- Following this, TikTok filed a request with the Supreme Court for an emergency injunction, which was denied, but the court has expedited the process to hear the case before January 19th 29m12s.
- The Supreme Court's decision to fast-track the case is unusual, but it is believed to be an attempt to ensure that the current administration defends the law, rather than the incoming administration 29m35s.
- The expedited process will involve opening briefs on December 27th and oral arguments on January 10th, which will be a challenging and intense period for the lawyers involved 30m23s.
- The case is expected to be highly politicized and will have significant implications for the future of TikTok and its ownership 31m6s.
- The outcome of the case will help determine the direction of the company and the role of the Chinese government in its ownership 31m11s.
- There are concerns about the potential risks of TikTok being owned by the Chinese government, with some arguing that it is too powerful for any country to have control over such a tool 31m15s.
Gusto - Get three months free when you run your first payroll 31m25s
- Gusto is a platform designed to help companies with payroll, benefits, onboarding, and HR, all in one place 31m30s.
- Over 300,000 businesses trust Gusto today, and the platform is capable of growing with a startup as it scales 31m41s.
- Gusto handles state and federal taxes for staff across the country, and also offers the option to set up a 401k plan for the team 31m49s.
- The platform helps with compliance, with three out of four employers stating that Gusto assists them in being government compliant 32m6s.
- Gusto is user-friendly software that allows businesses to focus on building their startup, rather than dealing with administrative tasks 32m10s.
- New users can try Gusto with no hidden fees and receive a discount of three months free by visiting gusto.com/twist 32m23s.
Shashir Mehrotra on the Coda-Grammarly merger 32m33s
- Shashir Mehrotra, the former CEO of Coda and incoming CEO of Grammarly, discusses the merger between Coda and Grammarly, which was announced recently, and how the two companies are coming together to form one entity 32m34s.
- Mehrotra mentions that he has been a personal user of Grammarly for years and was also an early investor in the company, and he is excited about the merger 35m22s.
- The idea for the merger came from a common investor, General Catalyst, who brought the two companies together and suggested that they were headed in the same direction despite being different products 35m43s.
- Mehrotra and the team from Grammarly sat down and compared their vision memos for the next year, realizing that they were headed to the same spot, and decided that it would be better to work together rather than trying to build each other's approaches 36m4s.
- The joint vision for the two companies is not explicitly stated, but Mehrotra mentions that they are headed in the same direction, and the merger is expected to bring together the strengths of both companies 36m17s.
- Coda is used as a workspace and tool for building workflow products, and Grammarly is used as an editor for writing, and the merger is expected to bring together these two capabilities 33m36s.
- The merger is not seen as a sign of weakness, but rather as a way to consolidate and become more efficient, and Mehrotra is excited about the opportunities that the merger will bring 34m57s.
Vision and applications of the Coda-Grammarly partnership 37m16s
- Grammarly is building a user-centered AI platform that combines applications and agents, with the goal of creating a magical experience for users 37m16s.
- The platform is centered around the concept of an "AI agent" that works everywhere, without forcing users to change their behavior, and has already integrated with 500,000 applications 37m50s.
- The founders of Grammarly, Max and Alex, describe their platform as an "AI superhighway" that can be built into every other product, with their current agent being just one "car" on that highway 38m5s.
- The conversation also focused on a new product called Koda Brain, which is being built at Koda and utilizes the company's 1700+ integrations to connect to other tools and create a co-pilot for writing 38m32s.
- Koda Brain aims to provide context and information to users, such as details about a customer's previous meetings or conversations, to help them write better 39m4s.
- The platform is designed to be a co-pilot that reads and understands everything the user is doing, and provides thoughtful suggestions and observations 39m18s.
- Grammarly is widely used and loved by many, including kids, but has also been banned in some classrooms due to its perceived advantage over other writing tools 39m50s.
- Grammarly is often used in educational settings, but some teachers prefer students to write without it, then use the tool to walk through corrections and debate each one, teaching students how to use the tool to augment their brain 40m37s.
- The idea of an agent that can do everything with a user and knows more than grammar is an interesting concept, and one way to think about it is to picture a world where the agent is the teacher's agent, with the teacher being part of the process 41m7s.
- Coda Pack is an extension of Coda that allows anyone to make integrations between Coda and other products, and people can build Coda Packs with a particular point of view, such as a chemistry agent that knows everything about chemistry 41m23s.
- Grammarly's core audience is often thought to be students, but the vast majority of its users are actually professionals, including marketers, salespeople, and CEOs, with 40 million daily active users 42m5s.
- Many professionals rely on Grammarly to communicate effectively, with some CEOs crediting the tool with saving them many times when communicating with their board, team, or others 42m23s.
Future of AI agents and Grammarly's role 42m35s
- Grammarly's approach is divided into two halves: using its platform as a "Super Highway" for the future of AI agents, and developing applications, with the goal of creating a true writing space that feels like home 42m36s.
- Grammarly has mostly been focused on making its magic work everywhere else, but it has lacked a destination that feels like a true writing space, and its editor, although good, does not support iPad and iPhone anymore 42m50s.
- There was a debate inside Grammarly about whether to work everywhere else or to compete in the document space, but the decision was made to be in that market as well 43m19s.
- The vision for Grammarly's future involves a three-phase change in how people think about their tools: the PC phase, the web phase, and the AI phase, where applications work like people and collaborate with users 43m42s.
- The AI phase is characterized by AI-native collaboration surfaces, and Grammarly aims to build a first-class place for users to understand and interact with AI agents 44m25s.
- The plan to achieve this involves building a road map and combining the best features of different tools, with the goal of creating a seamless and intuitive user experience 44m34s.
- The idea is to provide the best possible experience for all users, rather than upselling AI features to a select few, as this can lead to a situation where only a small percentage of users benefit from AI, but all users are required to pay for it 44m53s.
SaaS industry dynamics and AI's role in upselling 45m13s
- The SaaS industry is experiencing dissonance with top performers needing certain tools, but companies are charging extra for these tools, specifically AI-powered features, with Grammarly and Coda being examples of companies that include AI in their products, while others charge extra for AI-powered features 45m14s.
- Coda's approach is to include AI for everybody, whereas Grammarly's whole product is AI, and the challenge is to bring these approaches together 45m46s.
- The Grammarly-Coda deal was done in stock, with Grammarly valued at around $13 billion and Coda at around $1.3 billion, resulting in a 90% Grammarly stock and 10% Coda stock split 46m24s.
- The valuation numbers are correct, but the actual numbers of the deal cannot be verified, and the decision-making process involved looking to the future and building something new rather than just revaluing companies 46m56s.
- The deal was based on a reasonable split between the two companies, looking to the future and building something new, rather than just looking at past valuations 47m46s.
- Grammarly has been profitable for a long time, and the company is currently in investment mode 48m7s.
- There is a discussion about the role of AI in reducing the need for infrastructure and people to run companies, with some CEOs suggesting that AI agents can replace human employees, but this is not always the case, and hiring the next person can be harder than building AI agents 48m13s.
- The idea is that companies will take less and less in terms of infrastructure and people to run them, but this is not necessarily true, and the next hire can be harder than building AI agents 48m30s.
The impact of AI on job automation and workforce productivity 49m10s
- The best use of resources is often to automate something using technology rather than hiring a human, and this approach has not always been the case in the past 49m10s.
- Sebastian Thrun's observations include rebuilding software needed to run a business and the impact of hiring, with the latter being a separate observation 49m35s.
- The view is that AI will be a net additive to the world, creating jobs instead of removing them, and up-leveling people by allowing them to focus on higher-level tasks 49m47s.
- The advancement of technology has shifted jobs over the last 100 years, but it has also created new ones, and this trend is expected to continue 50m5s.
- The idea of having AI agents to assist with tasks such as research and writing code is seen as a positive development, allowing people to up-level their work 50m15s.
- The notion that AI will replace applications is considered misguided, and instead, AI should work in a surface with building blocks that users understand 50m37s.
- The concept of user-centric AI emphasizes the importance of AI working with users in a surface they understand, rather than producing something that is not usable 51m10s.
- The ability of AI to generate code or other content is seen as a magic trick, but the real value lies in AI working with users in a way that is understandable and usable 50m57s.
- Young people, referred to as "AI-first people," are using chatbots like ChatGPT as their primary source of information, even before searching on Google 51m42s.
- The Gemini deep research tool is considered to be "scary good" and is available for a fee, with the rack rate being around $20-30 per month 52m4s.
- A venture firm has implemented a function that saves a significant amount of time, with an estimated 100,000 minutes saved per year, calculated by multiplying 20,000 transactions by 5 minutes saved per transaction 52m46s.
- High performers who use AI-first tools like Koda and Grammarly are considered 50 times more valuable to the organization than those who do not, and it is expected that employees will adapt to using these tools to remain valuable 53m12s.
- The future of work is expected to involve automating tasks with existing teams rather than hiring more people, with elite leaders focusing on improving their current team's skills and efficiency 53m49s.
- This approach is compared to the Navy Seals, where every team member has a range of skills, including those typically associated with different roles, making them a highly effective team 54m6s.
- The use of AI-first tools is also expected to reduce the need for middle management, as it can streamline processes and reduce the number of layers within an organization 54m30s.
Team sizes and AI-driven productivity debate 54m40s
- The idea of using the right tools to increase productivity is acknowledged, with the example of Koda automating around four billion tasks last year, saving time that would have been spent on emails, notifications, and updates. 55m2s
- The human imagination is considered a key factor in driving productivity, as it allows people to dream up new ideas and projects, rather than just doing the same things with the same amount of people. 55m31s
- The natural tension between increasing productivity and the desire to start new projects is highlighted, with the example of taking people out of a unit to start a new project and having others pick up the slack through automation. 55m50s
- The use of technology, such as Zoom and Koda, has made it possible to invest time in new productive things, rather than just stopping at a certain point. 56m23s
- The concept of AI-driven productivity is discussed, with the idea that productivity produces human imagination, and that neither side of the debate is entirely right. 56m34s
- The plan for the combined company of Koda and Grammarly is mentioned, which includes weaving the best of both companies together, combining company knowledge, and creating a full productivity suite with hundreds of Agents. 56m52s
- The concept of "hundreds of Agents" is questioned, with a request for clarification on what it means, how to interact with them, and what the future vision for Agents looks like. 56m59s
The future interaction with AI agents 57m18s
- Interacting with AI agents in the future will involve polite and consensual interactions, with users being able to assign tasks and expect the agents to behave in a certain way, similar to how humans interact with each other 57m19s.
- An AI agent is defined as a mix of context, skills, jobs, and instructions, with context referring to the agent's knowledge and skills referring to the tasks it can perform 57m32s.
- The Grammarly agent, for example, has context about grammar and can revise work, answer questions, and provide feedback, while the Gmail pack on Coda knows everything in a user's email and can send emails on their behalf 57m43s.
- The concept of an AI agent is similar to how applications can act like people, with users being able to interact with them in a way that feels natural and intuitive 59m45s.
- Apple's intelligence feature allows users to let the AI study their behavior in specific apps, which can lead to more personalized experiences, but also raises concerns about privacy 59m55s.
- The idea of AI agents is still evolving, and companies like Grammarly are working on developing a deeper understanding of how to create agents that can interact with humans in a more natural way 58m28s.
- The concept of instructions in AI agents refers to the personality and tone of the agent, with users being able to expect a certain level of behavior and interaction from the agent 58m50s.
- The goal of AI agents is to make users feel like they are interacting with a human, with the agent being able to understand and respond to their needs in a way that feels natural and intuitive 59m0s.
Efficiency gains from combining Grammarly and Coda 1h0m40s
- Grammarly and Coda's combination is seen as a powerful pairing, with Grammarly studying how people work and Coda having people explicitly write apps, making for an awesome combination 1h0m40s.
- Athena, a company with a virtual assistant, is also working on studying and watching people work to back into agents and technology, a business process that many people are onto 1h0m52s.
- The future of business process studying and applications is seen as promising, with Grammarly and Coda being well-positioned 1h1m10s.
- Ambient agents like Grammarly, which follow users everywhere, are part of a broader category of agentic AI that also includes things that require direct prompting and task lists 1h1m16s.
- Agentic AI is not limited to non-chat GPT, but rather includes chat GPT as well, as it acts like a person and provides human-like responses 1h1m36s.
- The appeal of chat GPT lies in its ability to act like a knowledgeable person, having read the entire internet and providing contextually relevant responses 1h1m57s.
The role of ChatGPT and AI in social media 1h2m2s
- The concept of providing users with ideas on what to write next is a key feature that Grammarly and Coda can build upon, especially for social media purposes 1h2m8s.
- A potential use case for this feature is to help users find and engage with people on social media platforms such as LinkedIn, Twitter, and Instagram who are talking about their company or firm 1h2m40s.
- This process can be automated, eliminating the need for a social media manager, and can be integrated into a tool that provides users with a list of people to engage with and suggested responses 1h2m44s.
- The tool can also track engagement and remind team members to interact with those who have already engaged with the company or firm 1h2m49s.
- A social media monitoring app can be built into Grammarly, combining the features of suggesting what to write next with social media engagement 1h3m11s.
- This app can provide users with a list of people to engage with, along with possible responses that can be edited and posted 1h3m23s.
- The social media agent should be built into Grammarly and documented in a single source of truth, such as a Coda database 1h3m35s.
- Building this feature can be a valuable use of time, as many people need help with social media engagement 1h3m43s.
Tailoring AI tools for business needs 1h3m46s
- Many applications are rigid and cookie-cutter, forcing companies to adapt to their specific design, rather than the other way around 1h4m0s.
- Most companies have unique needs that aren't met by generic software solutions, such as Salesforce, and instead require customized tools 1h4m23s.
- Venture capital firms, in particular, have specific needs that aren't met by traditional CRM systems, and may require custom-built solutions 1h4m32s.
- Building a custom solution can be more cost-effective and efficient than paying for a generic solution that requires significant customization 1h4m50s.
- Using tools like Coda, Notion, and Zapier can help companies build custom solutions quickly and efficiently, without requiring significant coding expertise 1h5m1s.
- The goal of building custom applications is to create a unique perspective on how to do things, rather than following a generic template 1h5m45s.
- Combining custom applications with AI-powered agents can help companies achieve their goals and create a unique strength 1h5m52s.
- Twist 500, a product built on Coda, is an example of a custom-built solution that meets the unique needs of a company 1h6m7s.
- The creator of Twist 500 is a fan of Coda and uses it to build custom solutions, demonstrating the effectiveness of the tool 1h6m15s.
Lessons from mergers and acquisitions in the tech sector 1h6m26s
- The guest has experience with mergers and acquisitions (M&A) from their time at Google, where they bought many companies, but notes that each deal is unique. 1h6m28s
- The guest is asked to share lessons learned from the current merger in 3-6 months, as the tech sector may be entering a new M&A moment where companies like theirs may be involved in more deals. 1h6m46s
- The idea for the current merger is attributed to a General Catalyst partner who recognized the potential for integration and synergy between companies, with the idea that "one plus one equals three." 1h7m16s
- The guest agrees to return in 3-6 months to discuss the lessons learned from the merger, once they are "out of the weeds." 1h7m35s
- The conversation highlights the ability to bring breaking news and guests to the show, with the current discussion being about news that happened in the last 48 hours. 1h7m45s
- The host references a 2014 headline that stated "Acquisitions always suck worse than you think," and looks forward to seeing how that statement may be proven wrong in the current deal. 1h7m58s
Strategic acquisitions and their importance in the tech industry 1h8m8s
- Strategic acquisitions play a crucial role in the tech industry, as seen in the examples of YouTube and Instagram deals, where only a few deals are highly successful, while many others do not yield significant results 1h8m9s.
- The acquisition of Instagram by Facebook is cited as a key factor in preventing Facebook's decline, with the prediction that without this acquisition, Facebook would have been in decline for the past three to five years 1h8m26s.
- The significance of Instagram to Facebook is highlighted by the fact that many users no longer actively use Facebook, with the only updates often coming from syndicated Instagram posts 1h8m34s.
- The importance of strategic acquisitions is emphasized by the example of Google and Facebook, which have become modern tech giants, in part, due to their successful acquisitions 1h8m21s.








