Building something people want. CPO & Co-Founder Horizon (PV24-2) https://xitter.cf/t.co/hZl362uV9t
San Francisco, CA
Joined March 2023
- Tweets46
- Following288
- Followers178
- Likes228
Everyone’s hosting fireside chats for SF Tech Week. @fedemolina (NXTP) and I thought that sounded good, but a fire without meat on it felt like a waste.
So we’re throwing an asado 🥩
luma.com/co5zxf87
Nico Lopez retweeted
Good post on how to think about process redesign in an enterprise with AI Agents.
Unfortunately for most workflows, there’s no “easy” button. The best way to get real efficiency gains is you have to actually reengineer the process to take advantage of what agents are actually good at and can do differently and faster than people.
One of the challenges of course is that the most important workflows actually space many functions at once, so someone needs to be able to go in and retool how work happens.
“Nobody in that chain is empowered to walk into finance, for example, and say that their 14 step process should actually only be 5 steps. So nobody does it. Instead, you 'apply AI' on what you currently have, and you end up with faster sh*t.”
This is the road ahead for AI diffusion in enterprises. This also presents the clear opportunity for companies - both at the applied AI layer (regardless of the article’s title) and teams or companies that can go and implement transformation into the enterprises. And all roads lead to FDEs one way or another.
Nico Lopez retweeted
Sometimes people don’t have an intuitive sense of what Jevons paradox looks like for token consumption. Those of us working with enterprises get to see this first hand every day.
Basically enterprises have an unending stream of tasks that they’d love to be able to bring automation to. But for each individual task, it’s either ROI positive or not based on the cost of bringing automation to it (including the setup time, change management, and so on).
As tokens get cheaper (at a certain capability threshold), enterprises can afford bringing them to more of the work that they do. This could be processing every contract, reading every log, watching new streams of data for insights, having background agents execute workflows, and so on.
Any time we can lower the cost of tokens, we will see a disproportionate increase in consumption. Even a 50% drop in token prices could result in a 5X increase in tokens for these kinds of workloads.
This is why it’s critical to keep bringing down the cost of AI, and why that’s good for all market participants.
Wild founder moment: presenting @usehorizonai to nearly 1,000 people at Glean:GO, right after Gamma co-founder and CEO @thisisgrantlee.
Surreal to share the stage with him.
Our argument:
Documents explain how work should happen.
People know how it actually happens.
Horizon interviews the people doing it, maps reality, and turns it into blueprints for the right AI agents.
@iranizubin @jainarvind @nicolasscopesi @glean
Nico Lopez retweeted
The entire Accenture workforce is about to be outperformed by a 24-year-old who learned Claude Code last Tuesday.
Nico Lopez retweeted
🎙️"La mentalidad del emprendedor uruguayo es "hardworking", creemos que no venimos de ningún lado y tenemos que ganarnos todo"
NICOLÁS LÓPEZ, cofundador de Horizon AI, sobre las diferencias entre la mentalidad uruguaya y la norteamericana.
🔴 EN VIVO
youtube.com/watch?v=efOQB1ru…
Nico Lopez retweeted
Anthropic engineer just released a 2-hour workshop on "Graph Engineering" for agentic systems:
“80% of our engineers are using self-improving loops. Now everyone is building agentic graphs.”
• 00:00 - Introduction to RAG & Graphs
• 06:39 - Core of "Graph Engineering" (state, nodes)
• 14:29 - 3 feedback loops of Graph agents
• 23:06 - Agent evaluation with Graphs
• 36:29 - Agent cycles in graphs
• 1:15:22 - Agentic RAG & agent context
• 1:41:20 - Evaluation datasets based on Graphs
This 2-hour workshop will replace 10 paid courses on agentic engineering.
Watch it today, then learn how to become a Graph Engineer in the article below.
Nico Lopez retweeted
We’ve received notice that the Department of Commerce has lifted export controls on Claude Fable 5 and Mythos 5.
We'll begin restoring access tomorrow, and will share an update soon.
We’re grateful to our users for their patience, and to everyone who worked with us on redeploying the models.
Nico Lopez retweeted
everyone is talking about loops and hordes of agents spitting out code while you sleep.
great for crunching a bug list, a refactor/migration, or perf optimization, ie bounded problems with a clear definition of done.
but if you’re building a product, you’re bottlenecked by the user feedback loop, and that one runs at a completely different cadence.
which is why past a certain point, faster models, super intelligence, more throughput, etc stop mattering for this task. that feedback loop is where you inject taste and judgment, what to build. that part doesn’t parallelize.
Nico Lopez retweeted
los que estan haciendo algo muy copado son los chicos de @usehorizonai. entrevistan a toda la org y te detectan los pains, arman el playbook , etc. Puente parece mas enfocado en la implementacion despues
🚀🚀
Nicolás López, el uruguayo de 24 años que fue reconocido como líder emergente de innovación en Silicon Valley
elobservador.com.uy/cafe-y-n…
Nico Lopez retweeted
DocuSign Personal: $10 to $15 per month.
DocuSign Standard: $25 to $45 per user per month.
DocuSign Business Pro: $40 to $65 per user per month.
A 10-person team on Business Pro pays $4,800 to $7,800 a year. To put signatures on PDFs.
A team of 50 pays $24,000 to $39,000 a year.
And there is a 100-envelopes-per-year cap on most plans. Send more contracts and you pay extra.
Need SMS delivery? $0.40 per send.
Need ID verification? $2.50 per attempt.
Need premium support? $5,000 to $50,000 per year add-on.
You are rationing digital signatures in 2026.
DocuSign is a $10 billion company built entirely on this pricing model.
Now meet DocuSeal.
A free and open source alternative to DocuSign.
Created in 2023 by a Ruby developer named Alex who was simply trying to sign one document and realised every solution online was overpriced or required a subscription.
Three weeks later he had a working alternative. He pushed it to GitHub under the AGPL-3.0 license.
Today it has 11,800+ stars and over 1,000 forks. Bootstrapped. No VCs. No paywalls.
Here is what DocuSeal does:
- Upload any PDF and turn it into a fillable, signable form
- Drag and drop signature fields, dates, checkboxes, file uploads, and 13 field types
- Send to multiple signers with custom signing order
- Automated email reminders
- Mobile signing on any device
- PDF signature verification built in
- Audit trail for every document
- Bulk send and templates
- Full API access
- Self-host with one Docker command
Here is what DocuSeal costs:
Zero. Forever. Unlimited documents. Unlimited signers. Unlimited storage.
DocuSign limits envelopes. DocuSeal doesn't.
DocuSign charges per SMS. DocuSeal doesn't.
DocuSign charges for ID checks. DocuSeal doesn't.
DocuSign sees your contracts on their servers. DocuSeal doesn't.
Here is the wildest part:
The median DocuSign contract per Vendr is $17,250 per year. One Reddit thread has people saying "they want me to pay $4.80 per e-signature."
Self-host DocuSeal on a $5 cloud server and a 50-person team can sign as many contracts as they want without paying a single dollar.
Your contracts never leave your server. Your client lists. Your NDAs. Your employment agreements. None of it touches a third-party company.
For individuals who only sign a few contracts a year, you save $180.
For small teams of 10, you save up to $7,800 a year.
For a 50-person company, you save up to $39,000 a year.
Your documents. Your signatures. Your server.
100% Open Source. (Link in the comments)
Nico Lopez retweeted
this company is building a product for medium/large organizations that helps you map all your processes and pain points by interviewing employees with an AI.
This is what consultants from Accenture, BCG, Delloite, etc typically do to assess and provide insights. Great use of AI.
We've talked to hundreds of people inside large enterprises about how they work. The pattern is always the same: they know something isn't working, but they can't tell you exactly what process is broken, how much it's costing, or what to fix first.
Traditional consulting takes months to answer those questions.
We built Horizon AI(usehorizon.ai) to solve that.
The platform runs AI-powered conversations with employees across the entire organization, and each one surfaces what used to take weeks of interviews and consultants. When you do that at scale, you get a complete map of every process, inefficiency, prioritized, quantified, and ready to act on. Not a report. Not a dashboard. A system that goes from discovery to impact.
Here's what that looks like in 60 seconds.
We've talked to hundreds of people inside large enterprises about how they work. The pattern is always the same: they know something isn't working, but they can't tell you exactly what process is broken, how much it's costing, or what to fix first.
Traditional consulting takes months to answer those questions.
We built Horizon AI(usehorizon.ai) to solve that.
The platform runs AI-powered conversations with employees across the entire organization, and each one surfaces what used to take weeks of interviews and consultants. When you do that at scale, you get a complete map of every process, inefficiency, prioritized, quantified, and ready to act on. Not a report. Not a dashboard. A system that goes from discovery to impact.
Here's what that looks like in 60 seconds.