Offshore
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Evan
THE S&P 500 JUST ANNOUNCED A REBALANCE
Interactive Brokers $IBKR will be joining the S&P 500 on August 28th, replacing Walgreens Boots Alliance $WBA https://t.co/fLrC7rt96v
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THE S&P 500 JUST ANNOUNCED A REBALANCE
Interactive Brokers $IBKR will be joining the S&P 500 on August 28th, replacing Walgreens Boots Alliance $WBA https://t.co/fLrC7rt96v
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Offshore
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Kris Kashtanova
Met incredible AI film community makers @minhsmind and Ia Robinson who created @MachineCinemaAI 🎦
I’m so looking forward to collaborating and building New York community together. https://t.co/ZawWAW1lxm
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Met incredible AI film community makers @minhsmind and Ia Robinson who created @MachineCinemaAI 🎦
I’m so looking forward to collaborating and building New York community together. https://t.co/ZawWAW1lxm
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Offshore
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Simplifying Stocks, CPA
BREAKING ⚠️
S&P GLOBAL JUST ANNOUNCED THE S&P 500 REBALANCE
INTERACTIVE BROKERS $IBKR WILL BE JOINING THE S&P 500 ON AUGUST 28TH, REPLACING WALGREENS BOOTS ALLIANCE $WBA https://t.co/xnaQQhJ2nc
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BREAKING ⚠️
S&P GLOBAL JUST ANNOUNCED THE S&P 500 REBALANCE
INTERACTIVE BROKERS $IBKR WILL BE JOINING THE S&P 500 ON AUGUST 28TH, REPLACING WALGREENS BOOTS ALLIANCE $WBA https://t.co/xnaQQhJ2nc
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Offshore
Photo
Evan
South Korean 🇰🇷 companies will invest ~$150 Billion in the United States 🇺🇸 - Yonhap via Reuters https://t.co/73vtuat2j5
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South Korean 🇰🇷 companies will invest ~$150 Billion in the United States 🇺🇸 - Yonhap via Reuters https://t.co/73vtuat2j5
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Offshore
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The Startup Ideas Podcast (SIP) 🧃
RT @gregisenberg: this is exactly how i’d build a vertical ai agent startup (and build wealth)
step 1: find a boring pain point. something universal, hated, and expensive. think customs paperwork, insurance audits, compliance checklists. the less glamorous, the better.
step 2: map the workflow. don’t brainstorm in a figma file, sit next to the person doing the work. write down every click, every exception, every “this is where it breaks.” the edge cases are the product. gotta be meticulous here.
step 3: do the job as a service. literally run it yourself with a small team. invoice your first customers. this is where you’ll discover what really matters versus what the powerpoint version of the workflow looks like.
step 4: start adding agents to replace the human steps. not all at once obviously, pick one slice of the workflow and automate it. free up hours, prove value, charge more. rinse and repeat until the workflow is mostly agent-driven.
step 5: use the data you collect as the moat. every invoice, form, log, and exception makes your agent sharper. data → better models → stickier product.
and step 0 to be honest, is i'm building an audience along the way. showing my work, sharing the playbook, pulling future customers and talent into my orbit before the product even exists. iterating on 50+ formats and probably doing short-form to start.
note: find startup ideas/trends/prompts on @ideabrowser if you're looking for creative juices
the pattern looks the same every time for these types of vertical ai agent startups:
human service → semi-automated service → vertical agent product.
(i'm doing this now by the way, will share some examples soon... investing tons into it)
the goal of the agent goes from assisting in the workflow, to owning it.
that’s when you stop being a tool and start being the infrastructure for that industry.
once you own it, you're likely in vc competition territory. but you can compete if your unit economics are solid, audience is cranking and the product is loved.
why build a vertical ai startup now? because the foundation models are good enough (and getting better), the costs are low enough, and the demand for efficiency is high enough.
five years ago the tech wasn’t ready.
five years from now the incumbents will be.
the window is open right now.
it's building season.
tweet
RT @gregisenberg: this is exactly how i’d build a vertical ai agent startup (and build wealth)
step 1: find a boring pain point. something universal, hated, and expensive. think customs paperwork, insurance audits, compliance checklists. the less glamorous, the better.
step 2: map the workflow. don’t brainstorm in a figma file, sit next to the person doing the work. write down every click, every exception, every “this is where it breaks.” the edge cases are the product. gotta be meticulous here.
step 3: do the job as a service. literally run it yourself with a small team. invoice your first customers. this is where you’ll discover what really matters versus what the powerpoint version of the workflow looks like.
step 4: start adding agents to replace the human steps. not all at once obviously, pick one slice of the workflow and automate it. free up hours, prove value, charge more. rinse and repeat until the workflow is mostly agent-driven.
step 5: use the data you collect as the moat. every invoice, form, log, and exception makes your agent sharper. data → better models → stickier product.
and step 0 to be honest, is i'm building an audience along the way. showing my work, sharing the playbook, pulling future customers and talent into my orbit before the product even exists. iterating on 50+ formats and probably doing short-form to start.
note: find startup ideas/trends/prompts on @ideabrowser if you're looking for creative juices
the pattern looks the same every time for these types of vertical ai agent startups:
human service → semi-automated service → vertical agent product.
(i'm doing this now by the way, will share some examples soon... investing tons into it)
the goal of the agent goes from assisting in the workflow, to owning it.
that’s when you stop being a tool and start being the infrastructure for that industry.
once you own it, you're likely in vc competition territory. but you can compete if your unit economics are solid, audience is cranking and the product is loved.
why build a vertical ai startup now? because the foundation models are good enough (and getting better), the costs are low enough, and the demand for efficiency is high enough.
five years ago the tech wasn’t ready.
five years from now the incumbents will be.
the window is open right now.
it's building season.
tweet
Offshore
Video
Julian Goldie SEO
Google Just Killed Every AI App (FREE!)
P.S. Want the full guide? DM me. https://t.co/2RKYee9ZYA
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Google Just Killed Every AI App (FREE!)
P.S. Want the full guide? DM me. https://t.co/2RKYee9ZYA
tweet
Offshore
Photo
The Startup Ideas Podcast (SIP) 🧃
RT @gregisenberg: this is exactly how i’d build wealth with a vertical ai agent startup (without raising VC $$)
step 1: find a boring pain point. something universal, hated, and expensive. think customs paperwork, insurance audits, compliance checklists. the less glamorous, the better.
step 2: map the workflow. don’t brainstorm in a figma file, sit next to the person doing the work. write down every click, every exception, every “this is where it breaks.” the edge cases are the product. gotta be meticulous here.
step 3: do the job as a service. literally run it yourself with a small team. invoice your first customers. this is where you’ll discover what really matters versus what the powerpoint version of the workflow looks like.
step 4: start adding agents to replace the human steps. not all at once obviously, pick one slice of the workflow and automate it. free up hours, prove value, charge more. rinse and repeat until the workflow is mostly agent-driven.
step 5: use the data you collect as the moat. every invoice, form, log, and exception makes your agent sharper. data → better models → stickier product.
and step 0 to be honest, is i'm building an audience along the way. showing my work, sharing the playbook, pulling future customers and talent into my orbit before the product even exists. iterating on 50+ formats and probably doing short-form to start.
the pattern looks the same every time for these types of vertical ai agent startups:
human service → semi-automated service → vertical agent product.
the goal of the agent goes from assisting in the workflow, to owning it.
that’s when you stop being a tool and start being the infrastructure for that industry.
once you own it, you're likely in vc competition territory. but you can compete if your unit economics are solid, audience is cranking and the product is loved.
why build a vertical ai startup now? because the foundation models are good enough (and getting better), the costs are low enough, and the demand for efficiency is high enough.
five years ago the tech wasn’t ready.
five years from now the incumbents will be.
the window is open right now.
it's building season.
tweet
RT @gregisenberg: this is exactly how i’d build wealth with a vertical ai agent startup (without raising VC $$)
step 1: find a boring pain point. something universal, hated, and expensive. think customs paperwork, insurance audits, compliance checklists. the less glamorous, the better.
step 2: map the workflow. don’t brainstorm in a figma file, sit next to the person doing the work. write down every click, every exception, every “this is where it breaks.” the edge cases are the product. gotta be meticulous here.
step 3: do the job as a service. literally run it yourself with a small team. invoice your first customers. this is where you’ll discover what really matters versus what the powerpoint version of the workflow looks like.
step 4: start adding agents to replace the human steps. not all at once obviously, pick one slice of the workflow and automate it. free up hours, prove value, charge more. rinse and repeat until the workflow is mostly agent-driven.
step 5: use the data you collect as the moat. every invoice, form, log, and exception makes your agent sharper. data → better models → stickier product.
and step 0 to be honest, is i'm building an audience along the way. showing my work, sharing the playbook, pulling future customers and talent into my orbit before the product even exists. iterating on 50+ formats and probably doing short-form to start.
the pattern looks the same every time for these types of vertical ai agent startups:
human service → semi-automated service → vertical agent product.
the goal of the agent goes from assisting in the workflow, to owning it.
that’s when you stop being a tool and start being the infrastructure for that industry.
once you own it, you're likely in vc competition territory. but you can compete if your unit economics are solid, audience is cranking and the product is loved.
why build a vertical ai startup now? because the foundation models are good enough (and getting better), the costs are low enough, and the demand for efficiency is high enough.
five years ago the tech wasn’t ready.
five years from now the incumbents will be.
the window is open right now.
it's building season.
tweet