Abhilash Sonwane

Angel Investor | Entrepreneur | Likes to talk about Technology, Science and anything that challenges the Creative Self

[Abhilash Sonwane @abhilashvs]

The most powerful message you can give yourself and the world is:

You finish what you start.

You and the people around you need proof that you are someone who follows through.

Every time you complete something, you strengthen your identity.

You build confidence in yourself.
Others build trust in you.

People respect your words because they have seen your actions.

And when you repeatedly do what you say you will do, your words start carrying weight.

This Sunday, finish one thing you started long ago, even if it’s small and unimportant.

Not because anyone is watching.

Finish it because you are training yourself to become someone who follows through.

#weekendmusings #sonwane

[Abhilash Sonwane @abhilashvs]

Software development is about to explode.
But we may not see that explosion in app stores.
Most new software will never be published.
It will be built by users for themselves.

People will create private apps designed around their own workflows, preferences, and problems.
These apps may have only one user.
Or ten users inside a company.
But they will be far more personalized and, in many cases, more complex than the generic apps we use today.

The biggest winners will be platforms that provide the building blocks for users to create their own software.
Think of Lego for software.
We will still have CRM, billing, HR, and project management platforms.
But the winning platforms may not be those offering the most features.
They may be those that allow every business to create its own CRM, billing system, or workflow based on how that business actually operates.

Something similar has already happened with photography.
Taking a good photograph once required expensive equipment and specialized knowledge.
Today, almost everyone takes photographs.
Yet professional photographers still exist.

People hire them when they are too busy, when the occasion is important, or when they want a result better than they can produce themselves.

AI will do the same to software.
It will not reduce the amount of software being built.
It will multiply it.

Software developers will still be needed.

Some will build the platforms and building blocks.
Some will solve problems that are too complex for users.
And some will build software for people who are too busy or simply do not want to build it themselves.

The future of software may not be more apps for everyone.

It may be a different app for everyone.

#AI #software #SaaS #productmanagement #startups #sonwane

[Abhilash Sonwane @abhilashvs]

@kunalb11 AI is making it easy to create apps you would like to use.
But making apps that people will pay to use still remains hard.

[Abhilash Sonwane @abhilashvs]

@VaibhavSisinty This is exactly how AI will lead to software explosion. People building software that was not built before not because of lack of creativity but because it took a lot of effort!

[Abhilash Sonwane @abhilashvs]

A few lessons I have given myself over the years as an angel investor:

* Never lecture founders when they are already feeling small.

* When a founder upsets you, wait before reacting. Most reactions lose their fire by then and quietly turn into real conversations instead.

* Be the calmest person in the call or the meeting. Calm reads as safety to founders. Reactivity teaches them that investors are against them.

* Stop explaining to a founder who is not ready to hear it yet. Save your breath. Forced lessons never reach the place they need to reach.

* Let them vent when they need to. Stay with them. Feel the whole thing with them fully, then help them stand back up.

* Forgive their mistakes truly. But remember the patterns.

* Show up when needed. Keep yourself updated about the industry and the technology so you can actually be useful when called.

* Watch how they treat their employees who are not critical to them. That is exactly how they will treat small investors once the company grows and they are in a different orbit.

Capital is the easy part of being an investor, especially an angel investor. 
The hard part is being a steady presence when everything around the founder is moving too fast.

#entrepreneurship #startups #leadership #angelinvesting #sonwane

[Abhilash Sonwane @abhilashvs]

James Watt could not sell steam engines.

Mine owners did not understand boiler sizes or piston bores. So Watt invented one unit called Horsepower.
"Buy a 25 horsepower engine, get rid of 25 horses."
Behavior changed immediately.
The engine had not changed.
The frame had.

Software is at the same moment today.

Software was licensed as copies you installed.
SaaS got licensed based on users who logged in.
Now tokens bill you by usage volume.

But tokens do not represent the real advantage the software delivers.
The industry is still trying to discover the intelligence equivalent of horsepower.

#AI #SaaS #Pricing #productmanagement #Sonwane

[Abhilash Sonwane @abhilashvs]

What is being missed is that defining a successful outcome is harder than achieving one.

Actions were easy to define and a little harder to achieve.
Outcomes are harder to define and a little easier to achieve.

AI is now doing the easier part faster.
The harder part still sits with humans.
And they have to do it faster to keep up with AI.

So the real question is whether life got easier or harder after AI. 😀

[Abhilash Sonwane @abhilashvs]

What is being missed is that defining a successful outcome is harder than achieving one.

Actions were easy to define and a little harder to achieve.
Outcomes are harder to define and a little easier to achieve.

AI is now doing the easier part faster.
The harder part still sits with humans.
And they have to do it faster to keep up with AI.

So the real question is whether life got easier or harder after AI. 😀

[Abhilash Sonwane @abhilashvs]

What is being missed is that defining a successful outcome is harder than achieving one.

Actions were easy to define and a little harder to achieve.
Outcomes are harder to define and a little easier to achieve.

AI is now doing the easier part faster.
The harder part still sits with humans.
And they have to do it faster to keep up with AI.

So the real question is whether life got easier or harder after AI. 😀

[Bearly AI @bearlyai]

McKinsey is “under pressure from clients” to change its business model due to AI.

Instead of tying fees to hours worked —AI can do analysis, diagnosis and reports in minutes — clients want “to tie its fees to outcomes achieved” (eg. lower costs, higher revenues, increased market share).

One consulting examples is Rolls-Royce: since 2018, the engine maker charges does a “power-by-the-hour” programme, which charges *fixed* fee for every hour an engine is in the air (fee covers maintenance, repairs and replacements costs).

Many SaaS firms have also pivoted to outcomes based. Fin’s AI chatbot charges $1 per customer case resolved. iDenfy bills £1 per ID verification. Salesforce now lets users pay per task.

[Abhilash Sonwane @abhilashvs]

What is being missed is that defining a successful outcome is harder than achieving one.

Actions were easy to define and a little harder to achieve.
Outcomes are harder to define and a little easier to achieve.

AI is now doing the easier part faster.
The harder part still sits with humans.
And they have to do it faster to keep up with AI.

So the real question is whether life got easier or harder after AI. 😀

[Abhilash Sonwane @abhilashvs]

Intelligence and distribution were moats.
With intelligence getting generally available distribution is becoming a bigger moat…

[GREG ISENBERG @gregisenberg]

My 30+ observations on the greatest opportunities in AI agents right now:

And some ideas that are keeping me up at night.

1. The new buyer on the internet is an AI agent. Imagine billions of new customers showing up with money to spend but they only shop via MCP. That's what's happening. No MCP server means you're invisible to the fastest growing buyer on the internet.

2. Every franchise system in America (30,000+) needs an agent layer and none of them have one. One founder per franchise vertical. That's 30,000 businesses waiting.

3. Everyone said "distribution is the only moat" a year ago. Now I'd add that the only moat is distribution plus memory. The company that has your audience AND your agent's accumulated context is impossible to leave.

4. Consumer mobile is more interesting than it's been since 2012. Apps can finally DO things for you instead of showing you things. The next wave of $100M apps are being built right now.

5. The most interesting startup nobody has built is an agent marketplace where you rent access to someone else's trained agent. A recruiter spent 6 months training a sourcing agent on healthcare hiring. That agent is worth renting to every other healthcare recruiter on earth. The agent itself becomes the product.

6. A sorta strange phenomenon that's happening right now is agents are developing preferences. Give the same agent the same task 100 times and it starts developing patterns in how it approaches it. Nobody is studying this yet. But the agents that develop good patterns are worth more than the ones that don't. That's a new kind of asset.

7. Dead internet theory is about to become dead SaaS theory. Half the apps you use will quietly replace their support team, their onboarding team, and their content team with agents. You won't notice for months. Then you'll realize you haven't talked to a human at that company in a year.

8. The most valuable data in the world right now is sitting in the support tickets of small or mid tier SaaS companies. Every ticket is a customer telling you exactly what to build next. Mine this.

9. The most interesting pricing problem nobody has solved is how do you price a product when your costs change every time OpenAI or Anthropic updates their model pricing? Your margins can swing 40% overnight based on a decision made in San Francisco. The company that builds dynamic pricing infrastructure for agent-based businesses solves a problem every AI company has.

10. The best AI products feel like they're reading your mind. The worst ones feel like filling out a form with extra steps.

11. An interesting arbitrage I've noticed lately is hiring a human VA for $20/hour to supervise an AI agent that does $200/hour work. The human just checks the output.

12. The managed AI agent business is becoming the new agency model. $5k/month per client. You build it, run it, maintain it. The client gets a digital employee they never have to think about. This will be a $50 B+ category.

13. The first "shadow agent" scandals are about to drop. Employees running personal agents on company infrastructure without telling anyone. Using company API keys. Agents accessing internal docs. IT departments have little visibility into this right now. Lots of opportunity to build companies here. Definitely a painkiller not a vitamin type of business.

14. Right now there are probably millions of agents running on autopilot that their creators forgot about. Still burning tokens. Still sending emails. Still scraping websites. Still costing money. The "find and kill your zombie agents" tool is a product that writes itself.

15. Companies are starting to hire based on someone's agent portfolio instead of their resume. "Show me 3 agents you built that are running right now." It's REALLY early but it's starting.

16. Your Slack archive is a product. Every company's internal Slack has thousands of messages explaining how they actually do things. The company that lets you point an agent at your Slack history and auto-generate SOPs and agents from it will be enormous.

17. We're watching the cost of intelligence fall faster than the cost of distribution. Which means distribution is now the expensive thing.

18. The most underrated asset a human can have in 2026: the ability to sit in a room with another human, make eye contact, and have a real conversation. As AI handles more of the transactional stuff, the humans who can do the relational stuff become disproportionately valuable. The soft skills people used to dismiss as fluffy are becoming the hard skills. The hard skills people spent decades acquiring are becoming the soft ones.

19. There are MANY huge companies to be built around the fact that most people's agents are running on their personal laptops which they also use to browse the internet, check email, and download random files. The attack surface is enormous. One compromised Chrome extension and your agent's API keys, customer data, and workflows are exposed.

20. There's a new type of burnout forming that doesn't have a name. It's not from working too hard. It's from context switching between human work and agent work 50 times a day. Reviewing agent output, correcting it, approving it, reviewing again. The mental load of supervising agents is different from the mental load of doing the work yourself. Some founders are telling me they were less tired when they did everything manually because at least the cognitive pattern was consistent.

21. The cheapest form of market research: search "[your industry] spreadsheet template" on Google. Whatever people are tracking manually is your product.

22. Half the YC companies pivoted within 8 weeks of demo day. Not because they failed. Because agents let them test 5 ideas in the time it used to take to test one. The concept of "committing to an idea" is dissolving. Serial pivoting is becoming the default because 1) AI lets you move fast 2) the world is moving fast.

23. The loneliest job in tech right now is being the only person at your company who understands what the agents are doing. You can't explain it to your boss. You can't hand it off to a colleague. If you leave, everything breaks. You've become a single point of failure for an entire automated system. That person needs a title, a team, and a backup plan. Most companies haven't figured this out yet.

24. Your browser history is the most valuable training data you own and you're giving it away for free. Every site you visit, every product you research, every competitor you study, every pricing page you screenshot. That behavioral data, structured and fed to an agent, would make it understand your business better than any onboarding call. The company that lets you turn your browser history into agent context builds something nobody can replicate.

25. Everyone is building AI wrappers. Nobody is building AI unwrappers. The tool that takes an AI-generated document and tells you which parts a human wrote and which parts were generated.

26. Stripe just became the most important company in the agent economy and they barely had to do anything. Every agent that sells something needs Stripe. Every agent that buys something needs Stripe. They're the payment rail for the entire agentic internet by default.

27. The most undervalued API in the world right now is the US Postal Service address verification API. It's practically free. Every local business lead gen agent needs it. Every real estate agent needs it. Every direct mail agent needs it. Boring government infrastructure is quietly becoming the backbone of agent-native businesses.

28. The concept of "business hours" is for humans. Your agent closed a deal in Tokyo at 3am, processed the payment, sent the onboarding email, and updated the CRM before your alarm went off.

29. What happens when agents start recommending other agents? Your research agent finds that a competitor's sales agent is better and suggests you switch. Agent referral networks are forming organically. The first agent affiliate program is probably 6 months away.

30. Cal dotcom closed their source code. That's the canary. When open source companies start closing up, it means agents were cloning their product too easily. Every open source company is quietly asking the same question right now.

31. "AI for pet groomers" sounds like a joke and that's exactly why it will work. 150,000 of them in America. Zero tech. All scheduling by phone or IG DMs. The joke ideas always win.

32. The thing that will seem most obvious in hindsight: we spent 2025-2026 arguing about which model is best while the entire value was in the orchestration layer. The model is the CPU. Nobody buys a computer based on the CPU anymore. They buy it based on what they can do with it. Makes so much sense in hindsight. What else will be obvious in hindsight?

I'll share more notes soon.

I can't sleep with all that's going on. Maybe you too.

What an incredible time to be building.

[Abhilash Sonwane @abhilashvs]

Freedom and independence are not the same.

Independence is not needing someone else for anything you need and want.
Freedom is being able to do everything you need and want.

Parents want independence in their children.
Children want freedom for themselves.

Much of parenting is the tension between the two.

#sonwane

[Abhilash Sonwane @abhilashvs]

What’s a bet you took in life where the fall surprised you more than the outcome ever could have?​​​​​​​​​​​​​​​​

8/8

[Abhilash Sonwane @abhilashvs]

कर्मण्ये वाधिकारस्ते मा फलेषु कदाचन,
मा कर्मफलाहेतुर्भूर्मा ते संगोस्त्वकर्माणि

The Gita said this 5000 years ago.
We still haven’t understood it.

A thread on the most rational decision-making framework ever written. 🧵

[Abhilash Sonwane @abhilashvs]

कर्म करो, फल की चिंता मत करो is not resignation.
It is the most rational risk framework ever written.
Place your bets wisely.
Pay the price fully.
Let go of the outcome completely.

7/8