Showing posts with label New York City. Show all posts
Showing posts with label New York City. Show all posts

Saturday, July 18, 2026

18: Mamdani

at No comments:
Labels: , ,

Thursday, July 16, 2026

Five NYC Tech Startups With Solara Potential

Here’s a list of five (plus a bonus) NYC-based tech startups with plausible paths to trillion-dollar potential. These are ambitious picks—trillion-dollar outcomes are rare and require massive market disruption, network effects, defensibility (e.g., data moats, tech leadership, regulation), and execution at scale. NYC’s strengths in finance, media, healthcare, and talent give these companies tailwinds.

I focused on companies headquartered in NYC (or with primary operations there) that are still in growth/scale-up phases, drawing from recent ecosystem data on funding, AI/fintech/healthtech momentum, and market opportunities. Valuations and details are approximate based on public info as of mid-2026.

1. Ramp (Fintech – Corporate Spend Management)

  • Case: Ramp offers corporate cards, expense automation, and accounts payable tools with built-in savings (e.g., bill pay, rewards). It’s eating into legacy players like American Express, SAP Concur, and manual processes. Fintech has already produced multi-hundred-billion companies (e.g., Stripe, Adyen). Ramp’s model combines payments, data analytics, and AI-driven insights. If it expands globally, captures more of the massive B2B spend market (~trillions annually), and layers on lending/banking services, it could become the default financial OS for businesses. NYC’s finance hub status aids talent and partnerships. High growth and strong unit economics position it for hyperscale.

2. ElevenLabs (AI – Voice/Speech Synthesis and Agents)

  • Case: ElevenLabs leads in high-quality, natural AI voice generation, cloning, and real-time agents for audio, media, dubbing, customer service, and creative tools. The global audio/content market (podcasts, video, games, localization, enterprise voice) is enormous and exploding with generative AI. As voice becomes a primary interface (beyond text/chat), a leader with superior models, low latency, and enterprise integrations could dominate like Nvidia in chips or OpenAI in text. NYC media/finance ecosystem is perfect for applications in advertising, news, and trading. With rapid iteration and research investment, it has a shot at becoming an AI infrastructure giant.

3. Runway (AI – Generative Video and World Models)

  • Case: Runway builds cutting-edge text-to-video, image, and generative tools for creators, filmmakers, and enterprises, pushing toward general world simulation models. Video generation is one of the highest-value AI frontiers (Hollywood, social media, advertising, training data, simulations). Success here could mirror or exceed Adobe’s dominance but in a generative era, with potential for platform lock-in via APIs, models, and creative suites. NYC’s creative/media industry provides ideal testing ground and talent. If Runway achieves leading multimodal capabilities and scales to consumer/enterprise, the addressable market (entertainment + productivity) supports trillion-scale outcomes.

4. Headway (Healthtech – Mental Health Access Platform)

  • Case: Headway simplifies insurance acceptance for therapists/psychiatrists and connects patients, addressing massive gaps in mental healthcare access and administration. Mental health is a multi-trillion-dollar societal/economic issue (depression, anxiety, workforce impact), with telehealth and AI augmentation as accelerators. A dominant platform could expand into full integrated care, primary care adjacency, employer benefits, and AI tools (notes, matching, outcomes tracking). U.S. healthcare digitization is still early; network effects (providers + patients + payers) could create a defensible moat akin to a vertical Epic Systems or better. NYC’s diverse population and talent pool support scaling.

5. Kalshi (Fintech – Regulated Prediction Markets)

  • Case: Kalshi operates a CFTC-regulated prediction market for real-world events (elections, economics, sports, weather, etc.). If prediction markets go mainstream as information aggregators, hedging tools, and data sources (potentially integrating with finance, insurance, and AI training), the TAM is vast—rivaling or complementing traditional betting, derivatives, and analytics markets. Regulatory approval gives it an edge; scaling liquidity and user base could lead to data monopoly advantages. NYC’s finance ecosystem is ideal. In a world of uncertainty and AI-driven decision-making, accurate crowd-sourced probabilities have huge value.

Bonus: Bilt Rewards (Fintech – Housing/Neighborhood Loyalty Platform)

  • Case: Bilt turns rent (and potentially mortgages/home services) into reward-earning spend, building a massive consumer loyalty network tied to the largest household expense. Housing-related spending is enormous; combining it with neighborhood commerce, travel, and payments creates sticky network effects. Expansion into broader consumer finance, real estate tech, or even a “daily life” super-app could mirror or surpass traditional loyalty giants in a rent-heavy economy. Strong NYC real estate ties help.

Caveats: Trillion-dollar status depends on execution, competition, regulation (especially fintech/health/AI), macro conditions, and breakthroughs. Many will be acquired or plateau. These stand out due to large TAMs, strong moats in progress, and alignment with NYC strengths (finance, media, talent). The broader NYC ecosystem (2,000+ AI startups, robust fintech/healthtech) increases the odds of more breakout winners.



Corporate Culture/ Operating System: Greatness
Musk’s Management
CEO Functions
30-30-30-10: A Better Equity Formula For Tech Startups
Six Weeks From Zero (novel)
The Founder And The Fisherman (novel)
Verbal Martial Arts, Social Concentric Circles, and Non-Reaction
100 Questions That Lead To Understanding
Remote Work Productivity Hacks
Rule Of 100 For Tech Startups
Marketing Escape Velocity: The Path To Unicorn Status And Beyond
Unicorn to Solara: A Journey of Imagination: From Billion-Dollar Startups to Trillion-Dollar Suns
Unicorn to Solara with Purpose: Marketing, Mergers, and Responsible Capitalism
The Columbus Way, The Neil Armstrong Way: From Unicorns to Solaras: Building Trillion-Dollar Companies That Transform Humanity
1,000 Solaras In 10 Years
Liquid Computing: The Future of Human-Tech Symbiosis
Beyond Motion: How Robots Will Redefine The Art Of Movement
LUMINA AI: The Trillion-Dollar Sun
Himalayan Compute: Grand Solara Vision

Photo Album: NYC July 2026

at No comments:
Labels: ,

Thursday, July 03, 2025

3: Zohran Mamdani

How Extremely Online Mayoral Candidate Zohran Mamdani Learned to Embrace the Cringe The young democratic socialist has been building buzz and raising money from New Yorkers online, but it remains to be seen how that will translate into votes IRL. ........ and Assemblymember Zohran Mamdani, who donned a $30 business suit he had bought the day before from one of his constituents’s thrift stores on Steinway Street in Astoria, Queens. .......... “I’m freezing … your rent as the next mayor of New York City,” Mamdani said to the camera. “Let’s plunge into the details,” he continued, before jumping into the 40-degree water and emerging soaking wet to talk about his affordable housing proposal......... The video went on to garner more than 800,000 views across social media platforms. ......... “I think that you’ll find more people heard about my policy on freezing the rent by me jumping into the water than me being at any number of political forums where I’ve said the same thing,” Mamdani told THE CITY in a phone conversation about his social media strategy on Wednesday. .......... Two days later, his campaign released a sincere video of him talking with some of the New Yorkers who gave to his campaign. That clip quickly racked up more than half a million views on Twitter. ........ Part of the reason Mamdani’s been able to appear so comfortable in front of the camera, he said, came from his experience of being a self-described C-list rapper — including attempts to sell CDs on public buses in visits to Kampala, Uganda. ........ (He was born in the African nation to award-winning indie filmmaker Mira Nair and noted scholar of postcolonialism Mahmood Mamdani before they moved to New York City when he was a child. Despite her filmmaking expertise, Nair hasn’t offered her son tips for his campaign videos, he said.) ........ Those moments of “humiliation,” he added, were part of what prepared him for the harsh truths of the campaign trial, especially the early morning attempts on subway platforms to stop people for petition signatures when they’d rather not speak to anyone. ........... “You have to throw yourself out there, you have to put yourself out there, you have to also just crave rejection like water on your back.” ........

Mamdani, for his part, likened campaign content creation to door-knocking.

........ “With low turnout events, any bit of turnout matters a lot,” Sanderson said — especially when New York City’s last two mayoral contests were effectively decided in Democratic primaries where the winner was the first choice of not even 300,000 voters. ........... “I began this race with most New Yorkers not knowing who I am, but if I want to change that reality I have to be everywhere all at once,” he said. “I have sought to fulfill that commitment by physically going to three to four boroughs in a single day and also by ensuring that when New Yorkers open their phone and they’re scrolling through Instagram or Twitter or TikTok, they may also see a video from this campaign.” ....... Mamdani’s isn’t just working with content creators. He’s also becoming one of them. ......... organizing and hunger-striking with taxi workers drowning in debt back in 2021.

at No comments:
Labels: , ,
Subscribe to: Posts (Atom)