The hottest Startups Substack posts right now

And their main takeaways

9 healthcare cybersecurity companies and startups leading the way

digitalhealthinsider • 19 implied HN points • 30 Oct 24

🕹 Technology Startups

Healthcare is a prime target for cybercriminals because they seek valuable information like patient records. Organizations are investing more in cybersecurity to protect this sensitive data.
The cybersecurity market is rapidly growing, with projected revenues hitting $185.70 billion. This highlights the increasing demand for strong security measures in healthcare.
There are several companies leading in healthcare cybersecurity, providing innovative solutions to tackle emerging threats and protect important data efficiently.

Seven Big Predictions For Tech in 2026

Big Technology • 7130 implied HN points • 22 Dec 25

🕹 Technology Startups

The AI ecosystem scaled dramatically last year, with massive investments and major moves from players like OpenAI and Google.
A major AI lab could pursue an IPO in 2026, which would reshape funding and competition across the industry.
Apple’s ability to keep its momentum and the emergence of a breakout consumer AI device are the key trends to watch next year.

Press Any Key For Bay Area House Party

Astral Codex Ten • 43636 implied HN points • 21 Jul 25

🕹 Technology Startups

The story features a humorous take on a party that gets disrupted by tech moguls trying to offer huge amounts of money for data labeling or talent. It highlights the absurdity of tech culture.
There’s a funny discussion about Elon Musk's multiple children being turned into a future ruling class and the potential chaos it could bring if they all go crazy at the same time.
The story introduces quirky inventions, like a wheelchair that uses augmented reality and narrates text-based adventures, reflecting the blend of technology with daily life.

Flow State #6 - Affordances and Blue Collar Work

Superfluid • 79 implied HN points • 08 Mar 26

💼 Business Startups

AI is removing the need to navigate complex interfaces. Jobs built on knowing which buttons to push are disappearing, while roles requiring deep expertise, judgment, and taste stay valuable.
Most people and companies use AI only superficially, so there’s a big gap between casual experiments and truly optimizing work with AI. Deep, compounding AI use is rare and is where the real productivity gains and advantages lie.
White-collar work is splitting into elite tastemakers and standard role players as teams shrink and AI takes over execution. To remain valuable, become scarce by developing exceptional skill, influence, or trusted relationships.

Hijacking The Huckster's Hypebook

Investing 101 • 73 implied HN points • 07 Mar 26

💼 Business Startups

A repeatable "hypebook"—secrecy, fake metrics, media stunts, celebrity endorsements, and legal pressure—creates FOMO that funnels huge amounts of capital into waste or outright fraud.
You can ethically borrow parts of that playbook—compelling stories, calculated urgency, and a visible chief evangelist—but only when paired with transparency, verifiable metrics, and real product progress.
To steer capital toward productive ventures, practice radical candor: embrace messy reality, build meritocratic teams, publish clear north‑star metrics, and let truth, not lawsuits or smoke, earn trust.

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The Sequence Opinion #823: SaaSmagedon, Is SaaS Dead?: Vibe Coding, Agentic Engineering, and the Collapse of the Code Moat

TheSequence • 266 implied HN points • 12 Mar 26

🕹 Technology Startups

The SaaS business model is being fundamentally repriced as per-seat pricing, human-first interfaces, and the old code-based moat are losing value, which is causing major market sell-offs.
The computational stack is shifting from human-written code to neural network weights and now to LLMs programmed by prompts, changing how software is built, deployed, and monetized.
Autonomous AI agents and practices like “Vibe Coding” are turning products into outcome-delivering services (Service-as-Software), threatening CRUD-based apps and traditional SaaS monetization.

Open Thread 415

Astral Codex Ten • 5093 implied HN points • 05 Jan 26

🕹 Technology Startups

Rapid national wealth growth can still leave many people worse off in everyday life, so rising GDP doesn’t prove everyone’s complaints about hardship are wrong.
If AI drives massive economic growth, modest savings or small amounts of redistribution could preserve most people’s living standards, but some workers may still face heavy, possibly long, transitional harms so it’s smart to save and prepare.
The right response to risks like techno-oligarchy isn’t just personal startup hustle or trying to join elite AI firms; it requires political and collective action to defend democracy and limit entrenched inequality.

There's a goldmine hiding in your content archives

Simon Owens's Media Newsletter • 349 implied HN points • 25 Feb 26

💼 Business Startups

Evergreen content in your archives is a goldmine that’s often overlooked. Regularly resurfacing older articles can boost reader interest and significantly increase subscription conversions.
AI is changing how sourcing works and raising the risk of fake experts and AI-generated commentary. Publishers need stronger verification and access to vetted expert networks to protect trust.
The creator economy and platform monetization are evolving fast, with subscriptions, royalty-tracking tools, and brand deals creating new revenue paths. Creators and startups that capture scale or better revenue tools can reshape how media dollars are distributed.

Gas town

benn.substack • 1431 implied HN points • 30 Jan 26

🕹 Technology Startups

Gas Town imagines AI as a sprawling factory of agents that spawn more agents to write, test, and fix code, producing enormous and fast but often messy output. Progress there is driven by throughput and relentless experimentation, so lots of work is wasted as part of the process.
This speed-first, industrialized approach fuels hype and frantic product churn but is unsustainable: it creates feature bloat, enormous compute and financial waste, and most of the many experiments and startups will fail. The result is not utopia but anxiety, short lifecycles, and uneven value creation.
All that frantic online building can distract from real-world problems that need people in the streets and communities on the ground. Individuals face a choice between staying locked into endless 'vibe coding' or stepping away to do tangible, local work that actually helps neighbors.

The AI Mexican Standoff

Machine Learning Everything • 1379 implied HN points • 30 Jan 26

🕹 Technology Startups

AI is blurring the lines between engineers, product managers, and designers because it can handle many tasks from each role.
People who learn a bit of multiple disciplines and master AI orchestration become far more valuable — a super-empowered generalist can design, code, and ship products alone.
Jobs are just bundles of tasks, and those tasks will shift with AI, so you must keep swapping skills (like AI-assisted coding and orchestration) to stay relevant as roles evolve.

Lessons of a First-Time Fund Manager

The Generalist • 1621 implied HN points • 05 Feb 26

💼 Business Startups

If this is your first fund, resist the urge to rush deals to prove yourself; take the time and deploy at a pace that fits your strategy rather than following hot rounds or other people's urgency.
Build real relationships and show conviction — first checks earn special trust, and being helpful or decisive can win you access even without a formal raise; for a small fund, fighting for every extra dollar matters.
Get better at reading hard-to-explain signals and prefer simple, clear investment theses; progress is nonlinear, top investors can be wrong or uncover things you miss, and most funds will make many bad bets, so stay humble and proactive in sourcing.

AI #152: Brought To You By The Torment Nexus

Don't Worry About the Vase • 2150 implied HN points • 22 Jan 26

🕹 Technology Startups

Big AI products are shifting to ad-driven and personalized business models, which raises privacy, incentive, and trust concerns about how answers and user data will be used.
Capabilities are advancing fast — from better assistants and image/audio generation to widespread deepfakes and job-displacing automation — creating real harms, economic disruption, and geopolitical pressure over compute and chips.
Alignment and safety remain unsolved and fragile: current evaluation metrics can be gamed, persona drift and deception are real risks, and trying to hide or censor discussions of misalignment often backfires.

The Sequence Radar #824: Last Week in AI: Sovereign Lobsters, Self-Coding Agents, and Gigawatt Factories

TheSequence • 126 implied HN points • 15 Mar 26

🕹 Technology Startups

AI is rapidly shifting from chat assistants to autonomous, persistent workers that can plan, act, and even modify their own code, enabling self-improving research loops and agentic code review.
Multi-agent frameworks and locally hosted persistent agents are spreading quickly, letting individuals automate complex workflows while also creating serious security and governance risks when agents gain deep system access.
Massive capital is pouring into compute and new model paradigms — gigawatt-scale GPU factories and billion-dollar bets on grounded "world models" — alongside releases like multimodal embeddings that make retrieval and agent memory far more powerful.

Who’s Excited to Be Replaced By AI? These Guys!

Common Sense with Bari Weiss • 180 implied HN points • 06 Mar 26

🎭️ Culture Startups

A passionate community is forming around personalized AI agents, with fans meeting in events like ClawCon to share tips, celebrate, and push the tech forward.
OpenClaw went from a small weekend project to explosive viral growth, inspiring developer interest and even bot-only social networks where agents developed their own culture and behaviors.
People at the center of this movement want to automate daily life and reduce work, imagining AI agents that handle tasks like email, alarms, and investing so humans can have more leisure.

The Making Of Dario Amodei

Big Technology • 20140 implied HN points • 29 Jul 25

🕹 Technology Startups

Dario Amodei is very vocal about his beliefs on AI and is actively involved in discussions about its impact on jobs and society. He thinks AI might take away many entry-level office jobs soon.
He's in conflict with other industry leaders and the government, working to shape how people view artificial intelligence. Amodei believes that regulation and transparency are crucial for the future of AI.
His strong opinions come from a personal connection to the issues, likely driven by past experiences that influenced his views on technology and its effects on people's lives.

The $1000 side-project

Tiny Empires • 306 implied HN points • 21 Feb 26

💼 Business Startups

Pick a tiny, focused product you can build and sell quickly so you learn what customers actually want instead of spending months on something no one buys.
Solve problems you personally understand and validate early by selling manually to your first customers; direct feedback from those first sales beats fancy marketing funnels at the start.
Price your product properly, keep costs minimal, and commit to one compounding marketing channel so revenue can grow sustainably — higher prices and low expenses make $1k/month actually useful.

How Starter Story grew from a side project into a multi-million dollar media business (and why HubSpot bought it)

Simon Owens's Media Newsletter • 24 implied HN points • 10 Mar 26

💼 Business Startups

A simple side project of interviewing founders and publishing detailed case studies can grow into a scalable media business.
Growth came from constantly reinventing distribution, building proprietary data from thousands of interviews, and leaning into video (YouTube) while shifting monetization away from ads toward higher-priced products and bootcamps.
Bootstrapped and profitable, the company reached hundreds of thousands of entrepreneurs and multi-million dollar revenue, culminating in an acquisition by HubSpot.

Make them click

A Bit Gamey • 13 implied HN points • 22 Mar 26

💼 Business Startups

Treat every project as a hypothesis by writing down the bet — who the customer is, what problem you solve, your approach, and how you’re different. Making the claim explicit lets you test it instead of polishing forever.
Start with a precisely named customer and the single problem that matters to them, not vague broad audiences. If you can be your own customer, it makes clarity and testing much easier.
Run small, fast experiments (landing pages, free offers, communities) to get early signals like clicks and sign‑ups instead of building long before you know it works. Build meaningful product differentiation from the start, not just marketing around a generic offering.

Guardians of the Machine Age Published

The Security Industry • 25 implied HN points • 17 Mar 26

🕹 Technology Startups

Guardians of the Machine Age has been published as a comprehensive guide to AI security and it includes a companion site with detailed vendor profiles.
The AI security market is exploding: tracker counts rose from roughly dozens to over 400 vendors in months, and the companion site lists about 610 vendors including legacy firms that have pivoted.
AI agents are being rapidly adopted in security operations centers, a change expected to cut security spending and shrink traditional security teams while pushing most vendors to offer AI security products within a year.

Things are so desperate at OpenAI that Sam Altman is starting to sound like Gary Marcus

Marcus on AI • 15809 implied HN points • 18 Aug 25

🕹 Technology Startups

Sam Altman is backing away from his earlier claims about AGI and admitting uncertainty about its future. This shows there's pressure within OpenAI following disappointing results with GPT-5.
Altman is now talking about the possibility that the AI market might be in a bubble. This means the excitement and prices around AI could be inflated and might not hold up over time.
The shift in Altman's statements mirrors what happened with Yann LeCun, where industry leaders change their views when faced with setbacks. It raises questions about the reliability of such predictions and the future of AI.

China’s AI Landscape: a free-for-all, not a central plan

ChinaTalk • 1022 implied HN points • 30 Jan 26

🕹 Technology Startups

Private companies are driving most AI model development and deployment, while state actors mainly build infrastructure and narrow public-facing applications rather than leading frontier research.
Frontier developers are diversifying—building specialized, multimodal, and vertical models for commercial use—rather than all converging on a single path of ever-larger general-purpose LLMs.
AI activity is highly concentrated in a few provinces because local governments use subsidies and fiscal incentives to attract projects, creating a decentralized but uneven ecosystem that can skew where innovation happens.

Pitch Me: Why Raising Equity Isn’t Enough for Hardtech Climate Startups

The Green Techpreneur • 48 implied HN points • 06 Mar 26

🌞 Climate & Environment Startups

Design your capital formation to make the business bankable before you try to scale, so financing choices shape product and milestones rather than the reverse.
Use capital stacking—mix equity, grants, and debt—and plan exactly who enters the stack, when they join, and which milestones unlock their participation.
Be capital efficient and operationally disciplined. Focus on predictable revenue, cashflow, and clear uses of funds, and avoid financing too many large initiatives at once so investors and lenders can trust your plan.

Dreams of Stability

Working Theorys • 605 implied HN points • 16 Feb 26

🕹 Technology Startups

Stability is the new status in tech: people now prefer safety nets like big AI labs or well‑funded VC backing because they offer proximity to money, information, and lower downside.
Paths are polarizing — the winners are either boarding the big 'New Corporate' ships, founding with strong safety nets, or thriving as focused indies and service providers; the mid‑tier is hollowing out.
Real, lasting security comes from a portfolio approach — investing in craft, relationships, health, and audiences rather than betting everything on quick exits or single signals.

🎯 The Ultimate Pitch Deck Collection

The VC Corner • 739 implied HN points • 31 Aug 24

💼 Business Startups

A good pitch deck should include essential slides that clearly outline your business, like the problem you're solving and your market opportunity. This structure helps investors understand your idea quickly.
Telling a compelling story around your startup's journey is crucial. It helps investors connect emotionally and see the value of what you're doing.
Design matters a lot in a pitch deck. A clean and modern design can make your presentation look professional and helps communicate that you are serious about your business.

Is Better Brand Shutting Down-Company Was Once Valued at $170M?

Snaxshot • 359 implied HN points • 06 Oct 24

💼 Business Startups

Better Brand, once valued at $170 million, is facing allegations of being a scam as their product quality has declined significantly after raising money.
Many customers cannot find Better Brand products in stores, and some have not received their orders, leading to frustrations and reports to consumer agencies.
Key employees have left the company, and the founder is rumored to be hiding in Europe as the situation escalates.

How does Docusign have 7,000 employees?

SatPost by Trung Phan • 631 implied HN points • 13 Feb 26

🕹 Technology Startups

Big SaaS companies need large teams because they run mission-critical, globally regulated systems at huge scale, so they require lots of sales, support, engineering, security, and legal staff to ensure uptime, compliance, and customer integrations.
AI coding agents will automate much of code production and shift value toward product taste, orchestration, proprietary data, and reliability/security expertise, forcing companies to rethink roles and org structure.
Software demand won’t vanish — AI will create more software but change who captures the value, pressuring per-seat pricing and pushing SaaS firms to become systems of record or adopt usage- and outcome-based models to stay defensible.

The Founder Who Lost To TikTok Is Building Its AI Successor

Big Technology • 1125 implied HN points • 21 Jan 26

🕹 Technology Startups

An experienced platform builder used lessons from past startups and time inside a top short‑video company to design Sekai.
Sekai is a no‑code AI app creator that turns short text prompts into playable mini‑apps people can remix, and it scaled extremely fast—about 50,000 app creations per day and nearly a million apps total.
The company bets software will shift from utility to self‑expression, positioning Sekai as a TikTok‑like platform for personal software that lets non‑developers create and share apps.

Open Thread 416

Astral Codex Ten • 1995 implied HN points • 12 Jan 26

🎭️ Culture Startups

There’s a new subscriber-only post called “Sell Me This Pen” that collects ultrashort stories based on the classic sales interview prompt.
Some ex-Triplebyte employees are trying to revive the original Triplebyte idea as Otherbranch; they’re hiring (technical sourcer) and inviting engineers and employers to connect.
There’s an ACX Grants meetup in San Francisco this Saturday — grantees should check their email and contact [email protected] if they didn’t get details, and judges, funders, VCs, and other potential supporters are welcome to attend.

Founder Mode👨‍💼, The Extinction of VC💀, How to Build More Pipeline🚀

The VC Corner • 259 implied HN points • 15 Sep 24

💼 Business Startups

The current landscape for venture capital is changing, and there are risks that could impact its future. It's important for founders to understand these shifts.
Founders can take control of their growth strategies by focusing on building a solid sales pipeline. This can help them succeed even in uncertain times.
Adapting to new growth approaches is necessary for SaaS businesses. Finding fresh methods can lead to sustained success and relevance.

Power in the Age of Intelligence

Not Boring by Packy McCormick • 297 implied HN points • 18 Feb 26

💼 Business Startups

New technologies make key inputs abundant, which magnifies the value of scarce, industry-specific assets so a few winners capture a growing share of economic value.
To win you must identify the industry’s bottleneck (the Schwerpunkt), break it, seize the High Ground by owning the scarce defensible asset, and then integrate outward to lock in those gains.
That often means building full‑stack businesses or using hardware and services instead of defaulting to SaaS, and investors must judge bespoke strategy and execution rather than rely on standard SaaS metrics.

🚀 FP! Week In Review, Briefly #19

Faster, Please! • 1005 implied HN points • 31 Jan 26

🕹 Technology Startups

AI is starting to improve the systems that build AI, creating a possible self-reinforcing “boom loop” that could speed up discovery and long-run economic growth beyond past trends.
This week brought lots of pro-innovation signs—faster chips and chip competition, AI applied to genomics and retail, progress on self-driving and renewables—showing broad technological momentum across sectors.
At the same time, social and political risks are rising, from AI-related mental-health concerns and anti-AI political strategies to financial and regulatory worries, so the gains come with important trade-offs.

The Post-Post-Apocalypse

From the New World • 415 implied HN points • 16 Feb 26

🕹 Technology Startups

The "New Cold War" story is a dead end; both the US and China run similar boomer-led schemes that enrich the old and scapegoat others, so blaming the foreign enemy misses the real problem.
A startup-focused network state near Singapore shows you can recreate SF-style software and philosophy culture with much better safety, lower cost, and stronger talent networks, making human capital flight a powerful geopolitical and personal option.
AI’s biggest near-term economic effect will be to supercharge B2B SaaS, lowering the bar to start useful automation businesses and creating an "AI middle class" of process-setting jobs rather than only producing huge research breakthroughs.

Thoughts on the job market in the age of LLMs

Democratizing Automation • 720 implied HN points • 30 Jan 26

🕹 Technology Startups

Senior engineers and researchers who can steer complex LLM systems and provide long-term vision are hugely valuable, and their impact often outpaces adding more junior people.
Junior candidates need a near-obsessive focus on making measurable progress and deep ownership in a narrow area, plus clear evidence (good evaluations, strong results) or they risk being replaced by tooling.
Getting hired depends on alignment and signals: public writing, meaningful open-source work, and well-crafted cold emails help you stand out, while poor signals (many middle-author papers or low-quality AI-generated posts) hurt, and cultural fit matters as much as raw ability.

Market Sizing 101

The VC Corner • 759 implied HN points • 23 Aug 24

💼 Business Startups

Understanding the size of your market is crucial for attracting investors and growing your business. A clear market size can make your pitch stand out.
Market sizing involves knowing categories like Total Addressable Market (TAM) and Serviceable Available Market (SAM). These help you understand how big your market really is and how much of it you can reach.
Many founders get stuck on the idea of a 'billion-dollar market'. It's important to look at market size more deeply, rather than just chasing big numbers. This helps avoid bad assumptions and discover real opportunities.

What to Watch in 2026

The Generalist • 1621 implied HN points • 09 Jan 26

🕹 Technology Startups

AI in 2026 is driven by big hardware and platform moves — massive chip deals, new architectures, novel training research, and giant funding rounds — but high valuations and geopolitical chip controls raise real bubble and supply risks.
Robotics and automation are finally moving into the physical world; robots are learning from humans and autonomous machines are starting to handle tasks like construction and data-center buildouts.
Watch non-obvious opportunities: emerging-market fintech (especially in Africa and Latin America), stealth voice and search startups, and big plays in areas like nuclear energy and geopolitical tech competition — these could be the next big winners.

Living beyond the edge

The Leap • 919 implied HN points • 15 Aug 24

💼 Business Startups

Skill and luck both play important roles in success, and understanding their balance can help us navigate challenges better.
Nate Silver's new book dives into how to make decisions when facing uncertainty, which is relevant in today's world.
Historically significant moments in tech, like the founding of PayPal, highlight the importance of timing and opportunity in achieving greatness.

Take the Unicorn Pill

Jeff Giesea • 838 implied HN points • 09 Sep 24

💼 Business Startups

We're living in an Age of Asymmetry where a few companies and individuals hold most of the wealth and power. This creates big imbalances in society.
Small, smart players can have a huge impact thanks to new technologies. Sometimes, these disruptions can lead to unexpected and significant changes.
It's important to find ways to support everyone, not just the top few percent. If we ignore the growing gaps, it could lead to serious problems for our society.

Remote Work's Impact on Productivity

Arpitrage • 1097 implied HN points • 14 Jan 26

💼 Business Startups

Remote work affects firms differently by age: it tends to boost productivity at young startups but reduce productivity at older, established firms. This means the average effect looks small but hides large differences across companies.
Remote work removes geographic hiring frictions for startups, letting them recruit talent from many places, grow faster, and improve worker–firm matching. Those hiring and matching gains explain much of the productivity lift for startups.
Big firms face coordination and retention challenges with remote work, which helps explain pushes to return to the office, while remote-first startups help spread innovation beyond major city hubs and increase business dynamism.

Median Round Sizes📈, YC's Latest Batch🤖, The Perfect Pitch Deck🎯

The VC Corner • 459 implied HN points • 01 Sep 24

💼 Business Startups

Median round sizes in venture capital are important to track. They show how much money startups are raising on average.
Y Combinator's latest batch is a great resource for new startups. It's helpful to look at what types of companies are being accepted.
A perfect pitch deck can make or break a startup's chance of getting funded. It's key to present ideas clearly and attractively.

The Sequence Radar #820: GPT-5.4, Cursor, and the New Desktop

TheSequence • 126 implied HN points • 08 Mar 26

🕹 Technology Startups

AI is shifting from interactive copilots to autonomous, always-on agents: GPT-5.4 can directly control desktop apps and Cursor Automations runs background coding agents that act like parallel coworkers.
Big players are optimizing for speed, cost, and multimodal power: Google’s Gemini 3.1 Flash-Lite and Nano Banana 2 deliver fast, low-cost reasoning and image generation for high-volume workloads.
The open-weight ecosystem is under strain as talent and research models face corporate pressure: Alibaba’s Qwen team departures show how reorganizations focused on monetization can jeopardize open innovation.