HBHQ · Honest Build HQ
A small studio shipping niche AI products that each do one real job, completely. Scout reads anything long and hands it back four ways you can use the same day. It's live to try below. The Build Sheet is next. This is the start.
What HBHQ is
HBHQ makes niche AI products that do one real job, completely. We'd rather ship one tool people keep using than ten that demo well and disappear. Small, sharp, genuinely useful, and built in the open.
The first two
The first two proofs of the idea. One is live and ready to use today; the next is on its way. More will follow, each doing one real job.
Drop in anything long, a paper, a report, a deck, or a link, and get it back four ways you can use the same day.
Our playbook for content that actually lands: the hooks, the formats, the real moves, sourced from what works, not theory.
Who Scout is for
If your day disappears into documents you then have to do something with, Scout hands back the part that matters, in the shape you need it.
What Scout gives you
Scout reads the source for the argument underneath, then gives it back in four formats. Each one is finished work you can use, and you can export it as a PDF, an image, or a presentation.
You get files you can use, not just text. Download the graphic and the one-page brief, and drop them straight into your own work.
Feed it anything
Real output
Here is Scout on a real essay, Leopold Aschenbrenner's Situational Awareness. One source, four outputs. Nothing here is mocked up.
Aschenbrenner's loud claim is that almost nobody has grasped what's coming. The same steady improvements that took AI from grade-school to top-undergraduate level will, on the same trend line, carry it to systems that out-think the smartest humans by the end of the decade. Then those systems start accelerating their own progress.
The point that matters: this stops being a story about chatbots and becomes one about national power, security, and a race already underway, mostly unnoticed. He isn't predicting magic. He's extrapolating a curve and asking why so few people take it seriously.
The core is a scaling-law extrapolation wedded to an intelligence-explosion thesis. Progress is counted in orders of magnitude (OOMs) across three compounding inputs: raw compute, algorithmic efficiency, and "unhobbling" (tools, agency, scaffolding). It projects another GPT-2-to-GPT-4-sized jump by about 2027.
Thesis: a trend-line extrapolation of compute, algorithms and unhobbling implies AGI is plausible by about 2027 and a fast superintelligence transition shortly after, which makes this a national-security problem before a product one.
Key points
Remember: the argument is an extrapolation, not a proof. Its force is the trend, and how little attention it gets.
A real, downloadable graphic Scout rendered from the essay, not a description of one.
Source studied: situational-awareness.ai · run live through Scout.
Try it now
Paste text, drop a link, or attach a PDF or image. Your first study is free — add your email for a couple more, and you're on the waitlist for full access. No key, no setup.
Where we're going
Scout and The Build Sheet are the first. HBHQ keeps doing one thing: finding a narrow, real problem and building the single tool that solves it properly. One product at a time.
Early access
We build in the open. Get on the list and we'll email you as Scout and The Build Sheet grow, so you're first in and first to try what's next.