Riya's watchlist
Companies and tools on my radar. These are the businesses I'm looking into and the open-source projects I want to try, plus why each one caught my attention. It's not advice, just what I'm paying attention to.
Why these companies have my attention
For each one: what it does, why I'm interested, and the thing I'd want to understand before forming a view. Figures are as publicly reported and can move fast, so check the company's own announcements.
Suno
Full breakdown- What it does
- Writes a full song, music and vocals, from a text prompt.
- Why I'm watching
- People genuinely love it and it's growing fast, reportedly a $400M round at a $5.4B valuation in mid-2026.
- What I want to understand
- Major labels are suing over the music it trained on. The same data that makes it good is what's now in court, so the outcome could decide the business.
Genspark
Researching- What it does
- A general AI agent that builds docs and slides, and can even place real phone calls for you.
- Why I'm watching
- The phone-call demo went viral, the product feels genuinely slick, and it's reportedly valued near $2.6B (mid-2026).
- What I want to understand
- It runs on other companies' AI models and leans on cheap, subsidised credits. I'd want to see whether it still makes money once those credits cost full price.
Higgsfield
A tool I use- What it does
- Turns prompts and selfies into short cinematic videos for TikTok and Reels.
- Why I'm watching
- I actually use it, it's growing fast, and it's reportedly valued around $5.4B (late 2026).
- What I want to understand
- A lot of the magic runs on other companies' video models. I'd want to know whether being fast and well-distributed is enough to keep competitors out.
Polsia
Researching- What it does
- An AI the founder had investors talk to directly, it answered their questions and explained the business before he joined the final meetings.
- Why I'm watching
- It reportedly helped raise $30M at around a $250M valuation. Coming from private equity, the real story to me is how much a founder can get done before building a big team.
- What I want to understand
- A smaller team doesn't mean the business is cheap to run, you still pay for the AI and still have to win customers. How durable is that edge?
Anthropic
Researching- What it does
- The company behind Claude.
- Why I'm watching
- Bloomberg reported revenue more than doubled in a quarter (about $4.7B to over $11.5B), and it reportedly expects a second straight quarter of adjusted operating profit, unusual for an AI lab.
- What I want to understand
- Adjusted operating profit leaves costs out, and the ~80% gross margin figure is before training costs and the share paid to partners. I'd want to see how much cash is actually left after the next round of spending.
Want a company covered?
Your pick- How it works
- I run it through the same six questions and share what I find.
- Send one over
- The companies I get asked about most tend to jump the queue.
Projects I want to try
Open-source projects that caught my eye. Each links straight to its GitHub, with a quick note on what it takes to get started. Most need a terminal and some comfort with code.
Oathe
Lets an AI agent keep working across a crash, a rate limit, or a switch to another tool.
View on GitHub →Pi
A lightweight coding agent and one place to talk to different AI models from your terminal.
View on GitHub →Strix
AI agents that test your app for security holes the way a real attacker would.
View on GitHub →OfficeCLI
Lets AI agents read and edit Word, Excel, and PowerPoint files for you.
View on GitHub →Send it over, I'm always looking for projects to try. If I feature it, I'll credit whoever sent it.
Send me a project on TikTok →