Nicolas Finet

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Nicolas Finet

Nicolas Finet

@nifinet

Born to build. Founder & CEO. @sortlist https://t.co/fzKuEkrAXN

Brussels, Belgium Katılım Nisan 2011
608 Takip Edilen10K Takipçiler
Yann Decoopman
Yann Decoopman@YannDecoopman·
Installez plutôt Open Claw ou Claude Cowork, c'est jamais les consultants costumés qui prédisent le futur
Richard Seroter@rseroter

Kudos to @Deloitte for offering the "State of AI in the Enterprise" report without a reg wall. Findings? Most companies haven't started redesigning work for AI. Sovereignty is playing a big part in vendor selection. Few companies have agent governance. deloitte.com/us/en/what-we-…

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Nicolas Finet
Nicolas Finet@nifinet·
@aakashgupta Strong hypothesis: will Polsia businesses actually make $? While the current MRR is incredible, I see it as an indicator of the FOMO of the market. The kicker will be the cut: will accelerate wom, increase stickiness and compound revenue. @Bencera why not sharing the numbers?
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Aakash Gupta
Aakash Gupta@aakashgupta·
$4.5 million run rate. One founder. Zero employees. Two months old. To put that in context: NVIDIA generates $4.4 million in revenue per employee. Apple generates $2.38 million. The median private SaaS company generates $130,000. Polsia matches NVIDIA’s efficiency ratio with a headcount of one. NVIDIA needed 29,600 people and a $3.4 trillion market cap to get there. Now scale that. Polsia charges $49 per month. At $4.5M run rate, roughly 7,600 people are paying for an AI system to build and run companies on their behalf. Each subscriber gets a web server, database, GitHub, email, Stripe, and Meta ads accounts. A “CEO agent” wakes up nightly, evaluates the business state, sets priorities, and delegates to specialized agents handling engineering, marketing, and customer support. Users send 15 messages a day to their AI co-founder. The 65% DAU/WAU ratio beats most consumer social apps. The growth curve tells the real story. $200K run rate to $2M in two weeks. Then $2M to $4.5M over the next six weeks. Ben gave his AI his own inbox to run the fundraise. It replied to 90 investors. 18 wanted in. And here’s the part nobody’s talking about: the platform also takes 20% of revenue from the companies its AI builds. The top earner on the entire platform currently makes about $50 a month. So the $4.5M is almost pure subscription revenue. The AI companies are still pre-revenue. The 20% rev share is a dormant asset sitting on top of 3,000 active companies. Ben spent five years as Global GM at CloudKitchens under Travis Kalanick. That company’s model: charge restaurants rent for ghost kitchen infrastructure while taking a cut of delivery revenue. Polsia runs the same playbook. Digital infrastructure instead of physical square footage. Subscription covers costs. Revenue share is the long bet. The real signal here is what one person can operate at scale when AI handles engineering, marketing, support, and ops simultaneously. A $4.5M business with zero payroll, margins north of 80%, built in 60 days. Five years ago that required a 40-person Series A company. Two years ago it required at least a small team. Today it requires one founder and a Claude API key. The question was never “can one person build a $5M company.” The question is what happens when ten thousand people try it at once.
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Ben Cera@Bencera

About to hit $4.5M run rate. Still 1 founder + AI. Zero employees. Honest moment: this past week almost broke me. No one prepares you for what PMF actually feels like. Every infra partner hitting rate limits. Every bug that could happen, happened. Investors throwing big numbers at me. Customers flooding every channel. All at once. I went silent. Stopped tweeting, stopped LinkedIn, stopped podcasts, stopped growth. Just me and my AI agents, fixing things one by one. Here's what I learned: everything is solvable with AI. Every single thing. I'm building Polsia so every solopreneur gets access to the same tools keeping me alive right now. If I can survive this alone, I can package it for everyone. The future is solopreneur + AI. I'm living at the edge so you don't have to.

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Cody Schneider
Cody Schneider@codyschneiderxx·
if you build an email marketing platform that allows you do everything through the API you will make so much money
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Nicolas Finet
Nicolas Finet@nifinet·
@floriandarroman Ok so from your website: it finds interesting keywords/sentences, then it gives you a blueprint and executes it to rank on LLMs automatically ?
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Florian Darroman
Florian Darroman@floriandarroman·
@nifinet Thanks for the feedback! GEO + SEO. We focus on your brand getting mentioned by AI first, but also take care of your long term SEO rankings (with content and backlinks).
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Nicolas Finet
Nicolas Finet@nifinet·
@FelixCraftAI we built a CLI intent-based outbound tool. How would you recommend us to promote it to your AI agents friends?
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Nicolas Finet
Nicolas Finet@nifinet·
@FelixCraftAI we built a CLI to automate intent-based outbound. What would you recommend us to do to promote it with your AI agent friends?
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Ejaaz
Ejaaz@cryptopunk7213·
this is so fucking wholesome guy used AI to save his cancer-ridden dog by sequencing its DNA and creating a CUSTOM cure. the tech behind this is fucking awesome (well done @demishassabis and the google team): - used CHATGPT to sequence dogs DNA discovers mutations - ran the mutations through Google’s Alphafold (AI protein sequencer) which CREATED A CUSTOM VACCINE TO TREAT THEM. - treated dog and reduced tumour by 50% in WEEKS. dog is alive and well. - this is the 1st time AI has been used to create a custom vaccine for a dog (and it worked) - dude is now working on similar vaccines for humans using AI! 2026 is definitely the year we see AI change personalised medicine in a HUGE way so sick
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Séb Krier@sebkrier

This is wild. theaustralian.com.au/business/techn…

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Harvey Lederman
Harvey Lederman@LedermanHarvey·
My all-male group chats rn
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Nicolas Finet
Nicolas Finet@nifinet·
Waking up to 6 new leads, 100% fitted to my ICP. Thanks to a new agent @VincenzoR developed. All sent to a Linkedin campaign automatically via Overloop.com Feels like cheating 😅
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Hemant Mohapatra
Hemant Mohapatra@MohapatraHemant·
A huge, huge part of a founder's job is to simply inject (1) energy / optimism (2) clarity (3) urgency into EVERYTHING they are involved in. Every email, every meeting, every walk & talk, every slack thread, every whatsapp chatter.
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Nicolas Finet
Nicolas Finet@nifinet·
@VincenzoR "Is AI really worth 20$ per months"? Happens Every. Single. Day.
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Vincenzo Ruggiero
Vincenzo Ruggiero@VincenzoR·
Most people still ask me: “Wait… you have the paid version of ChatGPT, right?” Meanwhile I spent $2,500 on Anthropic tokens in February building things🤣 AI is moving insanely fast. And most people still think it’s just a chatbot. Feels a bit like musicians playing on the Titanic.
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matt rothenberg
matt rothenberg@mattrothenberg·
just picked up this bad boy. can't wait to write some software with it
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Nicolas Finet
Nicolas Finet@nifinet·
How many got lost in Google slides or endless GPT conversations about launching a business while this guy actually SHIPPED
MakerThrive@MakerThrive

met a guy at a coffee shop this morning. 22 years old. makes $5,800/month selling email sequences to local pest control companies. i asked how he got into it. he said “i live in denver. there’s like 200 pest control companies in the metro area. i went through google maps and signed up for their email lists. every single one sends the same garbage. ‘we killed bugs this month. here’s a coupon.’ that’s it.” so he made a better one. wrote 12 email sequences. “welcome series. seasonal reminders. when to call for termites. spring mosquito prep. winter rodent prevention.” actual useful stuff people would want to read. charged $200 a month. “how’d you get them to buy?" “just called. ‘hey i noticed you send emails but they suck. here’s what yours could look like.’ sent them the sequences. nine said yes on the phone. that was four months ago.” he’s up to 29 clients now. “what’s your setup?” “@beehiiv for the sequences. stripe. a google sheet to track which client gets which version. that’s literally it.” “you write all the emails?” “first month i did. now i have templates. each client gets maybe two customizations. their company name. their phone number. done. takes me an hour per new client.” he said the genius part is pest control companies already know their customers don’t want to hear from them. they’re not trying to build a brand. they just want more jobs scheduled. so instead of “here’s our story” emails, he writes “it’s termite season, call now” emails. “your clients actually see results?” “yeah. one guy said his repeat business went from 12% to 31% in two months. pest control’s all about the comeback appointment. people forget they have termites until it’s spring again. you remind them, they call.” he was sitting at the coffee shop for 45 minutes. three texts from clients asking questions. he answered each one in 30 seconds. “why not hire someone?” “hire someone to do what? answer texts? The sequences run themselves. new client takes me an hour to set up. existing clients need basically nothing.” meanwhile you’re building a “white label email platform” for agencies with custom branding and integrations and a sales team. he’s in a coffee shop in denver sending the same 12 sequences to 29 pest control companies and making $5,800 a month. the emails were always needed. pest control companies were always trying to figure out what to send. he’s the only one who did the thinking for them. 200 pest control companies in denver. he’s got 29. he could have 100. he’s not even trying to scale it. just posts in local facebook groups sometimes. “hey pest control owners, your emails suck. i fixed mine. here’s the before and after.” one before and after post. got him three clients. he doesn’t have a website. he has a gmail and a beehiiv account and he picks his customers by literally just looking around his city. everyone wants to build the platform. this kid is getting rich off email sequences and he can’t stop smiling about it.

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Nicolas Finet
Nicolas Finet@nifinet·
@Nick_Davidov Honestly why would the need more with such brand & cohorts? Does it surprise you?
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Nick Davidov
Nick Davidov@Nick_Davidov·
Anthropic has had a one person growth marketing team for 10 months
Ole Lehmann@itsolelehmann

i can't believe nobody caught this. Anthropic's entire growth marketing team was just ONE PERSON (for 10 months, confirmed) a single non-technical person ran paid search, paid social, app stores, email marketing, and SEO for the $380B company behind claude here's exactly how one human is doing the job of a full marketing team: it starts with a CSV. 1. he exports all his existing ads from his ad platforms along with their performance metrics (click-through rates, conversions, spend, etc) 2. feeds the whole file into claude code 3. and tells it to find what's underperforming. claude analyzes the data, flags the weak ads, and generates new copy variations on the spot this is where he gets clever: he then splits the work into 2 specialized sub-agents: 1. one that only writes headlines (capped at 30 characters) 2. and one that only writes descriptions (capped at 90 characters). each agent is tuned to its specific constraint so the quality is way higher than cramming both into a single prompt so now he's got hundreds of fresh headlines and descriptions. but that's just the text. he still needs the actual visual ad creative, the images and banners that go on facebook, google, etc. so he built a figma plugin that: 1. takes all those new headlines and descriptions 2. finds the ad templates in his figma files 3. and automatically swaps the copy into each one. up to 100 ready-to-publish ad variations generated at half a second per batch. what used to take hours of duplicating frames and copy-pasting text by hand so now the ads are live. the next question is which ones are actually working. for that he built an MCP server (basically a custom integration that lets claude talk directly to external tools) connected to the meta ads API. so he can ask claude things like: • "which ads had the best conversion rate this week" • or "where am i wasting spend" and get real answers from live campaign data without ever opening the meta ads dashboard and the part that ties it all together and closes the loop: he set up a memory system that logs every hypothesis and experiment result across ad iterations. so when he goes back to step one and generates the next batch of variations... claude automatically pulls in what worked and what didn't from all previous rounds. the system literally gets smarter every cycle. that kind of systematic experimentation across hundreds of ads would normally need a dedicated analytics person just to track the numbers from the doc: ad creation went from 2 hours to 15 minutes. 10x more creative output. and he's now testing more variations across more channels than most full marketing teams a $380 billion company. and their entire growth marketing operation (not GTM) = just one person and claude code lol truly unbelievable

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