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If you're a non-technical background and want to work at a startup. just show up and say: "what is your biggest problem, if you hire me i'll solve it." Then do something to prove you can.

This has been obvious for multiple years. (And is just basic business sense that predates AI) If you are where work is done, you become very valuable. If you’re a thing people can just choose to use sometimes, you will lose. Engineering is done IN cursor.

Excited to announce this step in the journey As I tell every candidate, the team will scale fast, the amount of responsibility at the company will scale faster If you want to come join for the most intense and fast paced couple years of your life send me a note

ChatGPT is amazing, but isn’t designed for accounting. Introducing: Intern by Basis - ChatGPT but for accounting & tax.

If you used to work at an NYC tech company and want free 10k: Just DM me a note with top 5 people you've worked with in eng/product. No intro needed. just 5 names and if we hire any of them in the next 12 months I will pay you 10k. You don't need to do any work.

If you are: - A future founder - In NYC - Want to join as early as possible to learn how to build - Somewhat technical but not a full engineer Shoot me a DM, I want to hire you.

Basis is hiring a product engineer to own a product end to end - No taking tickets from a PM - Work directly with founders - In office NYC. Whiteboards > meetings - Enormous responsibility - Engineering focused culture - Revenue growing 10x last couple months - AI doing work in the real world

Introducing Deployed Intelligence Intelligence is becoming abundant. Putting it to work remains hard. A new era demands a new approach For the first time in history, we can give every accountant the equivalent of a 50-person team to support their work. A team of capable professionals that is instantly available and always-on. But this sudden leap in capability comes with a challenge: we’ve changed the tools to do the job, but not the mental models. We’re asking accountants to go from doing the work to directing a team of agents… and we need to teach them how! This is the silent failure mode of most enterprise AI efforts: assuming that adding AI to existing workflows will just work. It won’t. Empowering users with AI demands new ways of thinking about work. The AI revolution will be deployed, not just built Everyone is watching the progress frontier models are making with great interest and rightly so. Fewer people are focused on the messier, perhaps more important challenge: getting the intelligence into the hands of users to do real work. We continue to believe that AGI will arrive faster than people think (short timelines) but will take far longer to diffuse (slow takeoff). The friction is not only technical; it’s human and organizational. It’s legacy software. It’s institutional habits. It's rigid workflows designed in an era where intelligence was scarce. And that’s why deployment matters. Over the last two decades, we’ve seen several waves of software deployment models, from on-prem to SaaS to bespoke platforms. With each wave came new deployment roles: implementation managers, solution engineers, and forward-deployed engineers. Now, we believe a new phase is emerging: one defined not by implementing software, but by deploying intelligence. Deploying intelligence will be a defining challenge In an age of abundant intelligence, simply having AI isn’t enough. The advantage goes to those who learn to wield it well. This applies at every level: Individuals who learn to collaborate with AI will dramatically outperform those who don’t Companies that embed intelligence into workflows will outpace those who merely bolt it on Solution providers who master deployment and make intelligence usable will lead the way Deploying intelligence is challenging because it is about fundamentally changing the way work gets done, rethinking how users interact with software, and embedding AI so deeply into workflows that it feels like second nature. That’s why we’ve formed the Deployed Intelligence Team at Basis. What does deploying intelligence look like in the real world Deploying intelligence means effectively guiding organizations through the shift from software-driven work to intelligence-driven work. The Deployed Intelligence team is the group on the front lines; we parachute into our customer’s organizations, learn their unique context, and give them the tools to redesign their accounting workflows around intelligent agents. It means creating a future where AI isn’t an add-on, but rather the backbone of how accounting work is done. So who will do this kind of work? It’ll be someone who looks at how things are done today and says, this doesn’t make sense, it can be done better. Someone who learns new technology faster than anyone else on their team, and then feels compelled to teach it to everyone around them. If that’s you, you’ll feel right at home here. Whether you’re an accountant or not, this team is for people who understand the future of knowledge work and want to be the ones creating it. Shape the Future with Us If you’re excited about deploying intelligence into the real economy then come join us

Left the office tonight around 9 and Adnan, our very Serbian building manager, stopped me “How many u still got up there??” “Like 15? Good amount” “Every night with this. 6:30/7 I understand but this. You guys need lives”

Republicans and democrats should come together for the R.E.A.G.A.N act (Reforming Employment-based Access & Green-Card Acceleration for Newcomers Act) 1. Remove country caps 2. Introduce more merit based approaches for green card admission 3. Expand o1 counts

Excited to announce this step in the journey As I tell every candidate, the team will scale fast, the amount of responsibility at the company will scale faster If you want to come join for the most intense and fast paced couple years of your life send me a note

If you're a non-technical background and want to work at a startup. just show up and say: "what is your biggest problem, if you hire me i'll solve it." Then do something to prove you can.

This has been obvious for multiple years. (And is just basic business sense that predates AI) If you are where work is done, you become very valuable. If you’re a thing people can just choose to use sometimes, you will lose. Engineering is done IN cursor.

If you used to work at an NYC tech company and want free 10k: Just DM me a note with top 5 people you've worked with in eng/product. No intro needed. just 5 names and if we hire any of them in the next 12 months I will pay you 10k. You don't need to do any work.

ChatGPT is amazing, but isn’t designed for accounting. Introducing: Intern by Basis - ChatGPT but for accounting & tax.

Any good calorie counting apps where you can just take a picture of your food? (Feels like that should exist now)

If you are: - A future founder - In NYC - Want to join as early as possible to learn how to build - Somewhat technical but not a full engineer Shoot me a DM, I want to hire you.

Republicans and democrats should come together for the R.E.A.G.A.N act (Reforming Employment-based Access & Green-Card Acceleration for Newcomers Act) 1. Remove country caps 2. Introduce more merit based approaches for green card admission 3. Expand o1 counts

Basis is hiring a product engineer to own a product end to end - No taking tickets from a PM - Work directly with founders - In office NYC. Whiteboards > meetings - Enormous responsibility - Engineering focused culture - Revenue growing 10x last couple months - AI doing work in the real world

Imagine someone whose sole job was to ensure the entire team but especially engineering was using AI at top tier. Specifically around repo context, cursor rules, DB commenting etc. then for non technical folks around projects, note taking, doc writing etc. What would that persons title be?

Introducing Deployed Intelligence Intelligence is becoming abundant. Putting it to work remains hard. A new era demands a new approach For the first time in history, we can give every accountant the equivalent of a 50-person team to support their work. A team of capable professionals that is instantly available and always-on. But this sudden leap in capability comes with a challenge: we’ve changed the tools to do the job, but not the mental models. We’re asking accountants to go from doing the work to directing a team of agents… and we need to teach them how! This is the silent failure mode of most enterprise AI efforts: assuming that adding AI to existing workflows will just work. It won’t. Empowering users with AI demands new ways of thinking about work. The AI revolution will be deployed, not just built Everyone is watching the progress frontier models are making with great interest and rightly so. Fewer people are focused on the messier, perhaps more important challenge: getting the intelligence into the hands of users to do real work. We continue to believe that AGI will arrive faster than people think (short timelines) but will take far longer to diffuse (slow takeoff). The friction is not only technical; it’s human and organizational. It’s legacy software. It’s institutional habits. It's rigid workflows designed in an era where intelligence was scarce. And that’s why deployment matters. Over the last two decades, we’ve seen several waves of software deployment models, from on-prem to SaaS to bespoke platforms. With each wave came new deployment roles: implementation managers, solution engineers, and forward-deployed engineers. Now, we believe a new phase is emerging: one defined not by implementing software, but by deploying intelligence. Deploying intelligence will be a defining challenge In an age of abundant intelligence, simply having AI isn’t enough. The advantage goes to those who learn to wield it well. This applies at every level: Individuals who learn to collaborate with AI will dramatically outperform those who don’t Companies that embed intelligence into workflows will outpace those who merely bolt it on Solution providers who master deployment and make intelligence usable will lead the way Deploying intelligence is challenging because it is about fundamentally changing the way work gets done, rethinking how users interact with software, and embedding AI so deeply into workflows that it feels like second nature. That’s why we’ve formed the Deployed Intelligence Team at Basis. What does deploying intelligence look like in the real world Deploying intelligence means effectively guiding organizations through the shift from software-driven work to intelligence-driven work. The Deployed Intelligence team is the group on the front lines; we parachute into our customer’s organizations, learn their unique context, and give them the tools to redesign their accounting workflows around intelligent agents. It means creating a future where AI isn’t an add-on, but rather the backbone of how accounting work is done. So who will do this kind of work? It’ll be someone who looks at how things are done today and says, this doesn’t make sense, it can be done better. Someone who learns new technology faster than anyone else on their team, and then feels compelled to teach it to everyone around them. If that’s you, you’ll feel right at home here. Whether you’re an accountant or not, this team is for people who understand the future of knowledge work and want to be the ones creating it. Shape the Future with Us If you’re excited about deploying intelligence into the real economy then come join us