Bissuh

Creating the Bloomberg for politics @_nomos. Founder @ingresse ($400M/yr). The Billion Person: weekly playbook to $10K/mo MRR with AI, no code.

[Bissuh @Bissuh]

@brunoclz Vai arrebentar… conteúdo denso demais

[Bissuh @Bissuh]

Every month, @_nomos adds 2 to 4 new databases to its monitoring platform.

All our clients automatically benefit from this when we add a new database.

This is because we understand that our product is not raw data, but an intelligence service through our agents.

I decided to get back to communicating about the new databases being added... in the focus of day-to-day operations, I end up forgetting to talk about what we're building!

But here it is, live and available to all clients: COAF, CVM Economic Bulletin, and ANPD.

And there are already many more databases in the works, more to come soon! If you're tired of talking to your platform about databases and want to start experimenting with our regulatory automations, just give us a call!

[Bissuh @Bissuh]

Survival comes first, truth, understanding, and science later.

Yet, people in modern society think of it in reverse

[Bissuh @Bissuh]

Thanks to @Google for featuring @_nomos in Finfacts 2026.

We’re helping banks and fintechs put their compliance and risk intelligence on autopilot

and we’re doing it with Google’s Cloud and AI technology.

[Bissuh @Bissuh]

@garrytan

[Bissuh @Bissuh]

I have a really hard time when people use that large companies as a benchmark of efficiency

They are not…

Historically large companies have a hard time in using their resource efficiently…

Just throwing AI budget on teams does not mean an actual correct use of it

AI has proven its efficiency in numerous ways: science, discovery speed, manual tasks automated

But who are actually training thousand and thousands of work force to actually use those new tools?

AI adoption was faster than any technology before it, and people get surprised when workforce is not ready to use it the proper way

Of course, people haven’t even figure out how it does actually work…

The first big event of OpenAI recognized companies by token usage… the memes around startups are entrepreneurs asking their teams to burn tokens

And now when they actually do it, people get scared… really?

My take here: people are realizing that measuring token usage is like when managers tries to measure a company the lines of code written…

bs

Real companies will always measure their success by impact and efficiency

What you are seeing is the (in my point of view totally expected) bad usage of a new technology as a result of a revolution of all industries at the same time

Of course bubble and inflated costs will be part of it… it already happened in the past

You have just a short memory problem

[Aiswarya Sankar @Aiswarya_Sankar]

This is what we've been seeing with every company we work with.

Try justifying spending 100k on token spend when only 18k even makes it to a stable prod feature.

In the rush to maximize AI token spend, companies are wasting over 44% on bug fixes

[Bissuh @Bissuh]

@brunocroh A qualidade de direção no trânsito então, nem se fala

[Bissuh @Bissuh]

@bcherny Started using it this week… just a relief

[Bissuh @Bissuh]

Every time someone comes to me asking on how to learn to code I don’t recommend an LLM

I recommend the Playground app by @Apple

Learning logic will prepare you to whatever coding technology is ahead.

[ᴅᴀɴɪᴇʟ ᴍɪᴇssʟᴇʀ 🛡️ @DanielMiessler]

Claude Code is about to release a feature called /workflows that I think will be extremely significant.

Especially for Enterprise AI.

I talked about this in 2024 in a post called Companies Are Just Graphs of Algorithms.

Basically the idea is that all work is just an algorithm, i.e., a series of steps to accomplish a goal.

Skills and Cowork have been heading in this direction already, and we've seen what that's done to company valuations in various spaces.

Well this is closer to the final form.

It's turning the regular, expected work that's done in companies into pseudo-deterministic workflows that follow defined SOPs.

The human role will be determining what problems to solve (taste, expeirence, etc), building new products from that, and then optimizing these workflows from above.

But the work itself will be these workflows executed according to SOPs.

[Bissuh @Bissuh]

As an entrepreneur, let me say this:

You MUST go all-in on AI in your business: not because it’s hype,

but because in the near future your competitors will be AI companies, and bro… they don’t sleep.

[Bissuh @Bissuh]

This is what I adopted to my life three years ago and now I can say:

I am not free, but 95% less anxious

[Brandon Luu, MD @BrandonLuuMD]

In a study of people with generalized anxiety disorder, only 8.6% of recorded worries actually happened.

The most common outcome: 0%. Not a single worry came true.

[Bissuh @Bissuh]

@leojrr Nature is healing

[Bissuh @Bissuh]

@OneJKMolina My reading list is so long right now that I can only think of looking for a podcast or YT vid

[Bissuh @Bissuh]

@OneJKMolina @edendotso Congrats for the credits

[Bissuh @Bissuh]

My bro vibe coded saas for lead generation

5B lines of code 😂

[World of Statistics @stats_feed]

Lines of Code

MS-DOS (v1.25 / v2.0): ~4,000 lines

WhatsApp (early/client estimates): ~30,000 lines
Telegram (client estimates): ~50,000 lines
Zoom (client estimates): ~60,000 lines
TikTok (client estimates): ~80,000 lines

Space Shuttle (primary flight software): ~420,000 lines

Minecraft (Java Edition client/decompiled): ~285,000 – 500,000 lines

Instagram (app estimates): ~1 million lines

US Military Drone (control software): ~3.5 million lines

YouTube (core estimates): ~5 – 10 million lines
World of Warcraft (core, older estimate): ~5.5 million lines

Boeing 787 (avionics + support systems): ~6.5 million lines
Google Chrome / Chromium: ~6.7 – 36 million lines

Chevy Volt (vehicle software): ~10 million lines
Twitter / X (pre-2022 estimates): ~10 million lines

Android OS: ~12 – 15 million lines
iOS (estimates): ~12 million lines

Mozilla Firefox: ~21 – 32 million lines

Windows XP: ~45 million lines

Linux Kernel (2025, v6.14+): ~40 million lines
Large Hadron Collider (software suite): ~50 million lines
Ubuntu (full distribution): ~50+ million lines

Facebook / Meta (main codebase): ~62 million lines

Mac OS X (Tiger-era estimates): ~84 – 86 million lines

Modern cars / Tesla (average vehicle software): ~100 million lines

Google (entire codebase & services): ~2 billion lines

Notes:
• All figures are estimates — LOC varies by counting method (with/without comments, tests, libraries, etc.).
• Small apps (WhatsApp, Telegram, etc.) usually refer to client-side only. Full backend systems are much larger.
• Modern projects grow rapidly; these are snapshots from reliable historical and public sources.

[Bissuh @Bissuh]

I really don’t think this is bad if what Chris describes in the thread is true

Learning does not comes from giving ok to AI to complete tasks

I see Universities / Colleges as the places where real thinking will have to become more and more the final teaching… and not actually the technical stuff itself

The mind works in different ways for different tasks aspects.

What is making the school outdated is not the use or not of AI… but the lack of investment in really developing the minds of new generations instead of being a simple oral replication of what is already written in books (or other people’s minds)

[Chris Hoofnagle @hoofnagle]

Berkeley law has introduced a new, much stricter AI policy
https://t.co/wlNs2cUrKz

[Chris Hoofnagle @hoofnagle]

Berkeley law has introduced a new, much stricter AI policy
https://t.co/wlNs2cUrKz

[Bissuh @Bissuh]

You don’t know yet, but this is huge for Anthropic

And it is a nightmare for OpenAI

[ClaudeDevs @ClaudeDevs]

Welcome to the team, Andrej!

[Bissuh @Bissuh]

If people knew how many vulnerabilities companies usually have and don’t even disclose…

[GitHub @github]

We are investigating unauthorized access to GitHub’s internal repositories. While we currently have no evidence of impact to customer information stored outside of GitHub’s internal repositories (such as our customers’ enterprises, organizations, and repositories), we are closely monitoring our infrastructure for follow-on activity.

[Bissuh @Bissuh]

Local SEO is a $108B market.

One founder ran 8 Claude prompts for ONE plumber.
30 days later: $25,000 in extra revenue.

For one listing.

Today's edition: the full 8-prompt playbook.
Pricing. Sequence. How to land client #1 this week.

Subscribe to get → https://t.co/Qy8jb40lMJ