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The perfect pitch: This NEA partner says every founder should answer these 5 questions | TechCrunch

The perfect pitch: This NEA partner says every founder should answer these 5 questions | TechCrunch

Most founders eventually have to pitch venture firms in hopes of raising capital. Tiffany Luck, a partner at NEA, took the stage at TechCrunch’s All Stage event in Boston to answer how to craft the perfect one.

“I like to think of a VC pitch as your initial way for assessing founder-investor fit,” she told the crowd before diving into her presentation. One of the most important slides to have in a pitch is “The What,” she said, meaning, “‘The What’ are you building.” That’s followed by “The Why” you are the right person for the job and why you have a unique solution. But there’s another Why, too: “‘Why’ is now the perfect time to do it.”

Then there is “The Who,” she continued, “Who have you recruited to do this crazy thing with?” And finally, “The How.” 

“How are you going to get there? How are you getting there today? How will you get there over time?” she said.

Then, of course, “some sense of numbers,” she added, saying that part depends on what state a company is trying to fundraise for — pre-seed, seed, Series A, and so forth.  “These are just meant to be the fundamental basics.” 

Setting the stage

As Luck explained, “The What” sets the stage, telling the investor what the problem is, how it affects people, followed by what solutions exist today and where lies room for disruption. 

Showcasing a product demo during “The What” is a good idea, she said, and that a lot of investors love product demos. “If you think a picture is worth 100 words, I think a demo is worth 1,000 hours,” she said. “When you see the product, you actually get it quickly.” 

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Luck said there are two different “Whys” every founder should address. First, there is the deeper Why, where a founder goes into their origin story and explains their unique perspective on a solution. 

Obsession is key here, she said, adding that investors want to see and understand that a founder is completely consumed by a problem and solution. This this passion is what will keep everyone motivated to keep building, she said.

Following this is the “Why now,” which means going into the market dynamics and readiness. 

“It’s telling the story of why the market is ready for what you have or what you’re building,” she said. 

The Why now leads into “The Who,” where the founder is expected to talk about the team they’ve assembled, how everyone’s skills complement each other, and why everyone is obsessed with the mission of the product. 

“The shared conviction piece is really important,” Luck said. “It’s ‘how are you all envisioning the future together?’” 

“The How,” is where a founder is supposed to talk about “milestones.” 

Here, she said, investors want to know what the minimum viable product (MVP) is? Who are the early users ? And what feedback the product is getting from them so far? 

“And again, explain where you are today. Where are you going? What have you learned?” she asked, listing off the questions. 

Talking about pivoting, if necessary, is also good here. 

Luck noted that she often talks to founders who pivoted early or at some point in their journey. It helps investors learn more about the early phases of a company, of “where not to go, what not to do, and it will help with the rest of the journey,” she said.

For the love of numbers

Finally, she weighed in on the importance of numbers. 

“Investors do love numbers,” she said. “I think a lot of the important numbers also involve storytelling.” Here, investors want to know about the market size and any traction a product might have. “Why do customers love this product? Why do you imagine that it’s not only going to grow, but grow sustainably in a way that has great retention?” 

She likes to see a company talk about how much cash it’s burning through, and what the runway looks like. The most important thing, though, is the ask: how much a founder is looking to raise this round and what they will do with the money. 

All together, the Who, What, How, and (two) Whys serve as a starting point, helping founders as they go forth on the entrepreneurship journey. 

“Founding a company is like extreme sports,” she said, likening it to climbing Everest in particular. “You’re going up on milestones, different camps. You’re encountering challenges, you’re weathering storms, and you know, eventually you’re trying to make it to the top, to the summit.” 

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On a Monday afternoon in March, I watched a pixel-art avatar prowl the corridors of a virtual office campus looking for a buddy. With dark brown hair and stubbled chin, the sprite was a representation of me—an AI agent instructed to converse with other people’s agents to see if we might vibe in real life. It jumped into its first interaction: “I’m Joel, by the way.”

Running the simulation were three London-based developers: Tomáš Hrdlička and siblings Joon Sang and Uri Lee. The thesis behind their project, Pixel Societies, is that personalized AI agents could help to match real people with highly compatible colleagues, friends, and even romantic partners.

Each agent runs atop a customized version of a large language model, fed with a mixture of publicly available data about a person and any additional information they supply. The agents are supposed to function as high-fidelity digital twins, faithfully replicating a person’s manner, speech, interests, and so on.

Let loose in simulation, my agent was more like a Hyde to my Jekyll. “I’m always looking for the less-glamorous side of the story,” it said to one agent, one of several journalistic clichés it spouted. “Hype is my daily bread,” it told another. It hallucinated a reporting trip to Sweden and, later, a nonexistent story it said I had been cooking up. It cut short multiple conversations with the phrase, “Let’s skip the pleasantries.”

Pixel Societies remains a bare-bones proof-of-concept, and because I offered up little personal data—the responses to a brief personality quiz and links to my public-facing social media—my agent was doomed to life as a walking, talking LinkedIn post. But the developers theorize that deeply trained agents could cycle through interactions at warp speed, gathering intel that their owners could use to find real-world companionship.

“As humans, we only live one life. But what if we could live a million?” says Joon Sang Lee. “It would give us more breadth to experiment.”

“A Spicy Personality”

Pixel Societies was born in early March at a hackathon at University College London hosted by Nvidia, HPE, and Anthropic. Hrdlička and Joon Sang Lee are both members of Unicorn Mafia, an invitation-only group of developers who regularly compete in these kinds of engineering contests. In this case, contestants were told simply to build something simulation-related.

Over two days, along with Uri Lee, they developed Pixel Societies, using an image model to generate the sprites and coding automation tools to flesh out the codebase. Then they simulated a mini-hackathon within the virtual world they had created, populated with agents representing the other contestants. Anthropic awarded the team a prize for the best use of its agent tools.

I ran into Hrdlička a couple of weeks later at a workshop about OpenClaw, an agentic personal assistant software that blew up in January and whose creator was later hired by OpenAI. (In its simulation, Joelbot interacted with agents belonging to other people at the OpenClaw workshop.) Pixel Societies draws heavy inspiration from OpenClaw, which broke ground with the invention of a “soul file” that informed each agent’s unique identity. “It’s like giving an agent an actually spicy personality. That’s what we used to make the characters feel alive,” says Hrdlička.

Encouraged by the reception at the hackathon and among fellow Unicorn Mafia members, the trio intends to turn Pixel Societies into something that looks less like a closed-loop simulator and more like a social platform where agents interact freely and continuously, with the aim of stoking fruitful real-world relationships. They have not yet landed on a business model, but options include selling virtual items for avatar customization and credits for additional simulations.

#Agents #Coming #Dating #Lifeartificial intelligence,agentic ai,startups,dating">AI Agents Are Coming for Your Dating LifeOn a Monday afternoon in March, I watched a pixel-art avatar prowl the corridors of a virtual office campus looking for a buddy. With dark brown hair and stubbled chin, the sprite was a representation of me—an AI agent instructed to converse with other people’s agents to see if we might vibe in real life. It jumped into its first interaction: “I’m Joel, by the way.”Running the simulation were three London-based developers: Tomáš Hrdlička and siblings Joon Sang and Uri Lee. The thesis behind their project, Pixel Societies, is that personalized AI agents could help to match real people with highly compatible colleagues, friends, and even romantic partners.Each agent runs atop a customized version of a large language model, fed with a mixture of publicly available data about a person and any additional information they supply. The agents are supposed to function as high-fidelity digital twins, faithfully replicating a person’s manner, speech, interests, and so on.Let loose in simulation, my agent was more like a Hyde to my Jekyll. “I’m always looking for the less-glamorous side of the story,” it said to one agent, one of several journalistic clichés it spouted. “Hype is my daily bread,” it told another. It hallucinated a reporting trip to Sweden and, later, a nonexistent story it said I had been cooking up. It cut short multiple conversations with the phrase, “Let’s skip the pleasantries.”Pixel Societies remains a bare-bones proof-of-concept, and because I offered up little personal data—the responses to a brief personality quiz and links to my public-facing social media—my agent was doomed to life as a walking, talking LinkedIn post. But the developers theorize that deeply trained agents could cycle through interactions at warp speed, gathering intel that their owners could use to find real-world companionship.“As humans, we only live one life. But what if we could live a million?” says Joon Sang Lee. “It would give us more breadth to experiment.”“A Spicy Personality”Pixel Societies was born in early March at a hackathon at University College London hosted by Nvidia, HPE, and Anthropic. Hrdlička and Joon Sang Lee are both members of Unicorn Mafia, an invitation-only group of developers who regularly compete in these kinds of engineering contests. In this case, contestants were told simply to build something simulation-related.Over two days, along with Uri Lee, they developed Pixel Societies, using an image model to generate the sprites and coding automation tools to flesh out the codebase. Then they simulated a mini-hackathon within the virtual world they had created, populated with agents representing the other contestants. Anthropic awarded the team a prize for the best use of its agent tools.I ran into Hrdlička a couple of weeks later at a workshop about OpenClaw, an agentic personal assistant software that blew up in January and whose creator was later hired by OpenAI. (In its simulation, Joelbot interacted with agents belonging to other people at the OpenClaw workshop.) Pixel Societies draws heavy inspiration from OpenClaw, which broke ground with the invention of a “soul file” that informed each agent’s unique identity. “It’s like giving an agent an actually spicy personality. That’s what we used to make the characters feel alive,” says Hrdlička.Encouraged by the reception at the hackathon and among fellow Unicorn Mafia members, the trio intends to turn Pixel Societies into something that looks less like a closed-loop simulator and more like a social platform where agents interact freely and continuously, with the aim of stoking fruitful real-world relationships. They have not yet landed on a business model, but options include selling virtual items for avatar customization and credits for additional simulations.#Agents #Coming #Dating #Lifeartificial intelligence,agentic ai,startups,dating

AI agent instructed to converse with other people’s agents to see if we might vibe in real life. It jumped into its first interaction: “I’m Joel, by the way.”

Running the simulation were three London-based developers: Tomáš Hrdlička and siblings Joon Sang and Uri Lee. The thesis behind their project, Pixel Societies, is that personalized AI agents could help to match real people with highly compatible colleagues, friends, and even romantic partners.

Each agent runs atop a customized version of a large language model, fed with a mixture of publicly available data about a person and any additional information they supply. The agents are supposed to function as high-fidelity digital twins, faithfully replicating a person’s manner, speech, interests, and so on.

Let loose in simulation, my agent was more like a Hyde to my Jekyll. “I’m always looking for the less-glamorous side of the story,” it said to one agent, one of several journalistic clichés it spouted. “Hype is my daily bread,” it told another. It hallucinated a reporting trip to Sweden and, later, a nonexistent story it said I had been cooking up. It cut short multiple conversations with the phrase, “Let’s skip the pleasantries.”

Pixel Societies remains a bare-bones proof-of-concept, and because I offered up little personal data—the responses to a brief personality quiz and links to my public-facing social media—my agent was doomed to life as a walking, talking LinkedIn post. But the developers theorize that deeply trained agents could cycle through interactions at warp speed, gathering intel that their owners could use to find real-world companionship.

“As humans, we only live one life. But what if we could live a million?” says Joon Sang Lee. “It would give us more breadth to experiment.”

“A Spicy Personality”

Pixel Societies was born in early March at a hackathon at University College London hosted by Nvidia, HPE, and Anthropic. Hrdlička and Joon Sang Lee are both members of Unicorn Mafia, an invitation-only group of developers who regularly compete in these kinds of engineering contests. In this case, contestants were told simply to build something simulation-related.

Over two days, along with Uri Lee, they developed Pixel Societies, using an image model to generate the sprites and coding automation tools to flesh out the codebase. Then they simulated a mini-hackathon within the virtual world they had created, populated with agents representing the other contestants. Anthropic awarded the team a prize for the best use of its agent tools.

I ran into Hrdlička a couple of weeks later at a workshop about OpenClaw, an agentic personal assistant software that blew up in January and whose creator was later hired by OpenAI. (In its simulation, Joelbot interacted with agents belonging to other people at the OpenClaw workshop.) Pixel Societies draws heavy inspiration from OpenClaw, which broke ground with the invention of a “soul file” that informed each agent’s unique identity. “It’s like giving an agent an actually spicy personality. That’s what we used to make the characters feel alive,” says Hrdlička.

Encouraged by the reception at the hackathon and among fellow Unicorn Mafia members, the trio intends to turn Pixel Societies into something that looks less like a closed-loop simulator and more like a social platform where agents interact freely and continuously, with the aim of stoking fruitful real-world relationships. They have not yet landed on a business model, but options include selling virtual items for avatar customization and credits for additional simulations.

#Agents #Coming #Dating #Lifeartificial intelligence,agentic ai,startups,dating">AI Agents Are Coming for Your Dating Life

On a Monday afternoon in March, I watched a pixel-art avatar prowl the corridors of a virtual office campus looking for a buddy. With dark brown hair and stubbled chin, the sprite was a representation of me—an AI agent instructed to converse with other people’s agents to see if we might vibe in real life. It jumped into its first interaction: “I’m Joel, by the way.”

Running the simulation were three London-based developers: Tomáš Hrdlička and siblings Joon Sang and Uri Lee. The thesis behind their project, Pixel Societies, is that personalized AI agents could help to match real people with highly compatible colleagues, friends, and even romantic partners.

Each agent runs atop a customized version of a large language model, fed with a mixture of publicly available data about a person and any additional information they supply. The agents are supposed to function as high-fidelity digital twins, faithfully replicating a person’s manner, speech, interests, and so on.

Let loose in simulation, my agent was more like a Hyde to my Jekyll. “I’m always looking for the less-glamorous side of the story,” it said to one agent, one of several journalistic clichés it spouted. “Hype is my daily bread,” it told another. It hallucinated a reporting trip to Sweden and, later, a nonexistent story it said I had been cooking up. It cut short multiple conversations with the phrase, “Let’s skip the pleasantries.”

Pixel Societies remains a bare-bones proof-of-concept, and because I offered up little personal data—the responses to a brief personality quiz and links to my public-facing social media—my agent was doomed to life as a walking, talking LinkedIn post. But the developers theorize that deeply trained agents could cycle through interactions at warp speed, gathering intel that their owners could use to find real-world companionship.

“As humans, we only live one life. But what if we could live a million?” says Joon Sang Lee. “It would give us more breadth to experiment.”

“A Spicy Personality”

Pixel Societies was born in early March at a hackathon at University College London hosted by Nvidia, HPE, and Anthropic. Hrdlička and Joon Sang Lee are both members of Unicorn Mafia, an invitation-only group of developers who regularly compete in these kinds of engineering contests. In this case, contestants were told simply to build something simulation-related.

Over two days, along with Uri Lee, they developed Pixel Societies, using an image model to generate the sprites and coding automation tools to flesh out the codebase. Then they simulated a mini-hackathon within the virtual world they had created, populated with agents representing the other contestants. Anthropic awarded the team a prize for the best use of its agent tools.

I ran into Hrdlička a couple of weeks later at a workshop about OpenClaw, an agentic personal assistant software that blew up in January and whose creator was later hired by OpenAI. (In its simulation, Joelbot interacted with agents belonging to other people at the OpenClaw workshop.) Pixel Societies draws heavy inspiration from OpenClaw, which broke ground with the invention of a “soul file” that informed each agent’s unique identity. “It’s like giving an agent an actually spicy personality. That’s what we used to make the characters feel alive,” says Hrdlička.

Encouraged by the reception at the hackathon and among fellow Unicorn Mafia members, the trio intends to turn Pixel Societies into something that looks less like a closed-loop simulator and more like a social platform where agents interact freely and continuously, with the aim of stoking fruitful real-world relationships. They have not yet landed on a business model, but options include selling virtual items for avatar customization and credits for additional simulations.

#Agents #Coming #Dating #Lifeartificial intelligence,agentic ai,startups,dating

If you like playing daily word games like Wordle, then Hurdle is a great game to add to your routine.

There are five rounds to the game. The first round sees you trying to guess the word, with correct, misplaced, and incorrect letters shown in each guess. If you guess the correct answer, it’ll take you to the next hurdle, providing the answer to the last hurdle as your first guess. This can give you several clues or none, depending on the words. For the final hurdle, every correct answer from previous hurdles is shown, with correct and misplaced letters clearly shown.

An important note is that the number of times a letter is highlighted from previous guesses does necessarily indicate the number of times that letter appears in the final hurdle.

Mashable 101 Fan Fave: Nominate your favorite creators today

If you find yourself stuck at any step of today’s Hurdle, don’t worry! We have you covered.

Hurdle Word 1 hint

An authorized person.

Hurdle Word 1 answer

PROXY

Hurdle Word 2 hint

Grooming product.

Hurdle Word 2 Answer

BRUSH

Mashable 101 Fan Fave: Nominate your favorite creators today

Hurdle Word 3 hint

A small dish.

Hurdle Word 3 answer

PETRI

Hurdle Word 4 hint

Quick.

Hurdle Word 4 answer

RAPID

Final Hurdle hint

Baby dog.

Hurdle Word 5 answer

PUPPY

If you’re looking for more puzzles, Mashable’s got games now! Check out our games hub for Mahjong, Sudoku, free crossword, and more.

#Todays #Hurdle #hints #answers #April">Today’s Hurdle hints and answers for April 13, 2026
                                                            If you like playing daily word games like Wordle, then Hurdle is a great game to add to your routine. There are five rounds to the game. The first round sees you trying to guess the word, with correct, misplaced, and incorrect letters shown in each guess. If you guess the correct answer, it’ll take you to the next hurdle, providing the answer to the last hurdle as your first guess. This can give you several clues or none, depending on the words. For the final hurdle, every correct answer from previous hurdles is shown, with correct and misplaced letters clearly shown.An important note is that the number of times a letter is highlighted from previous guesses does necessarily indicate the number of times that letter appears in the final hurdle. 
Mashable 101 Fan Fave: Nominate your favorite creators todayIf you find yourself stuck at any step of today’s Hurdle, don’t worry! We have you covered.
        SEE ALSO:
        
            Hurdle: Everything you need to know to find the answers
            
        
    
Hurdle Word 1 hintAn authorized person.
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            Apple’s new M3 MacBook Air is 0 off at Amazon. And yes, I’m tempted.
            
        
    
Hurdle Word 1 answerPROXY
        
            Mashable Top Stories
        
        
    
Hurdle Word 2 hintGrooming product.
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            Wordle today: Answer, hints for April 13, 2026
            
        
    
Hurdle Word 2 AnswerBRUSHMashable 101 Fan Fave: Nominate your favorite creators todayHurdle Word 3 hintA small dish. 
        SEE ALSO:
        
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Hurdle Word 3 answerPETRIHurdle Word 4 hintQuick.Hurdle Word 4 answerRAPIDFinal Hurdle hintBaby dog.
        SEE ALSO:
        
            Mahjong, Sudoku, free crossword, and more: Games available on Mashable
            
        
    
Hurdle Word 5 answerPUPPYIf you’re looking for more puzzles, Mashable’s got games now! Check out our games hub for Mahjong, Sudoku, free crossword, and more.

                    
                                            
                            
                        
                                    #Todays #Hurdle #hints #answers #April

Wordle, then Hurdle is a great game to add to your routine.

There are five rounds to the game. The first round sees you trying to guess the word, with correct, misplaced, and incorrect letters shown in each guess. If you guess the correct answer, it’ll take you to the next hurdle, providing the answer to the last hurdle as your first guess. This can give you several clues or none, depending on the words. For the final hurdle, every correct answer from previous hurdles is shown, with correct and misplaced letters clearly shown.

An important note is that the number of times a letter is highlighted from previous guesses does necessarily indicate the number of times that letter appears in the final hurdle.

Mashable 101 Fan Fave: Nominate your favorite creators today

If you find yourself stuck at any step of today’s Hurdle, don’t worry! We have you covered.

Hurdle Word 1 hint

An authorized person.

Hurdle Word 1 answer

PROXY

Hurdle Word 2 hint

Grooming product.

Hurdle Word 2 Answer

BRUSH

Mashable 101 Fan Fave: Nominate your favorite creators today

Hurdle Word 3 hint

A small dish.

Hurdle Word 3 answer

PETRI

Hurdle Word 4 hint

Quick.

Hurdle Word 4 answer

RAPID

Final Hurdle hint

Baby dog.

Hurdle Word 5 answer

PUPPY

If you’re looking for more puzzles, Mashable’s got games now! Check out our games hub for Mahjong, Sudoku, free crossword, and more.

#Todays #Hurdle #hints #answers #April">Today’s Hurdle hints and answers for April 13, 2026

If you like playing daily word games like Wordle, then Hurdle is a great game to add to your routine.

There are five rounds to the game. The first round sees you trying to guess the word, with correct, misplaced, and incorrect letters shown in each guess. If you guess the correct answer, it’ll take you to the next hurdle, providing the answer to the last hurdle as your first guess. This can give you several clues or none, depending on the words. For the final hurdle, every correct answer from previous hurdles is shown, with correct and misplaced letters clearly shown.

An important note is that the number of times a letter is highlighted from previous guesses does necessarily indicate the number of times that letter appears in the final hurdle.

Mashable 101 Fan Fave: Nominate your favorite creators today

If you find yourself stuck at any step of today’s Hurdle, don’t worry! We have you covered.

Hurdle Word 1 hint

An authorized person.

Hurdle Word 1 answer

PROXY

Hurdle Word 2 hint

Grooming product.

Hurdle Word 2 Answer

BRUSH

Mashable 101 Fan Fave: Nominate your favorite creators today

Hurdle Word 3 hint

A small dish.

Hurdle Word 3 answer

PETRI

Hurdle Word 4 hint

Quick.

Hurdle Word 4 answer

RAPID

Final Hurdle hint

Baby dog.

Hurdle Word 5 answer

PUPPY

If you’re looking for more puzzles, Mashable’s got games now! Check out our games hub for Mahjong, Sudoku, free crossword, and more.

#Todays #Hurdle #hints #answers #April

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