- smallcase offers smart investment portfolios curated by experts in one click. Investors include: Amazon, Sequoia Capital India, Blume Ventures and Arkam Ventures.
- Kuvera is a free online investment management platform. They cover everything from fund selection, goal planning, tax optimization, to rebalancing.
- Jar helps users build saving habits by automating deposits. Investors include: Tiger Global, Arkam Ventures, Rocketship, and WEH Ventures, among others.
I used to believe that software for creators was a somewhat oversaturated space — and upon doing more research, I found out that I was wrong. I'd be curious to hear your thoughts.
Here's what I found out
Goldman Sachs estimates that the creator economy will double to $480 billion by 2027.
Technology has and will continue to play a huge role in this, as it has lowered the barriers to content creation.
Individuals are now free to choose which kind of work they take on (e.g. newsletters, livestreams, podcasts).
This has fueled demand, not only for content platforms, but also new services and tools that help creators manage their business.
What this means for startups:
Creators have access to new technologies and platforms through which they can engage their audiences and monetize their content.
Founders and VCs, recognizing the value of direct audience relationships, have focused on investing and developing tools to facilitate content creation, distribution, and monetization.
Some of the business models that VCs are paying attention to are:
B2B Services: this includes analytics tools, tools for managing communities and fan relationships, and services that help creators with operations (e.g. legal, accounting, or financing)
Premium Fan Experiences: platforms that facilitate the creation of unique, high-touch experiences for superfans. These can include virtual meet-and-greets, personal shout-outs, exclusive content, and more.
Education and Courses: Creators with specific expertise in can develop and sell courses or offer coaching and consulting services.
One of the most overlooked characteristics of the creator economy is that creators are in fact media companies, and these companies require services, tech, and infrastructure to operate.
I've never used Taxfyle, so I can't speak on that -- but given the price, you got a good rate. Intuit Turbo Tax is likely the same product, so there's no "incentive" to switch really -- as long as you are getting what you need.
I recommended TurboTax because that is the one I am familiar with, and the alternative is SMB accountants that sometimes will charge you $2.5K to file corp tax. Depending on the size/complexity of your biz, it's not always worth it.
would love to speak with you (email or call) to learn about these issues.
From my experience, lots of startups end up with a shitty service because at the end of the day, the provider does not care about keeping the company in check.
have you tried self-filing for taxes using Turbo Tax for business? (by Intuit)
I always recomend this to founders, it's the most straight-forward and costs around $500 (a bit more if you get the package where they have someone assisting you)
Happy to chat more if helpful -- I do finance/accounting for startups.
For me, someone having experience growing their own projects is a big one (hard bonus if they were able to monetize). But generally, I look for:
- Creativity: Growth hacking often involves coming up with unconventional ideas to drive growth, so a growth hacker must be creative and willing to try new things.
- Entrepreneurial Mindset: be willing to take risks and be adaptable to changes.
- Persistence: Growth hacking involves a lot of trial and error. They should be willing to experiment with different ideas and strategies until they find what works.
- Customer focus: needs to understand customer needs and behavior. This means being able to speak with customers, analyze their feedback, and incorporate it into the growth strategy.
Bloomberg has developed a machine learning model, BloombergGPT, which applies AI techniques to financial datasets. The product could provide an entirely new way of doing financial research.
The model uses proprietary and curated datasets, including financial news, company financial filings, and press releases.
The Bloomberg data used for training spans from March 1, 2007 through July 31, 2022.
Training for the BloombergGPT model required approximately 53 days of computations run on 64 servers
Use cases include:
1/ generating an initial draft of an SEC filing
2/ summarizing a blurb containing financial content into a headline
3/ providing a company chart of an organization and linkages between an individual and multiple companies
4/ automation of generation of draft routine market reports and summaries for clients
5/ retrieval of specific elements of financial statements for specific periods via a single prompt
The data feeds directly into Meta's AI agent training pipeline.
Employees cannot opt out.