HackMD

We rebuilt PDF export on HackMD around one idea: the exported file should match the note you see 📄

Here's what's new:

🔁 More reliable conversion — fewer failed exports and missing content, including images, UML, and LaTeX

🎨 Better output quality — improved LaTeX rendering, smarter table wrapping, better page-width usage, right-sized images, and no more random blank pages

📄 A dedicated export page — review settings, start conversion, and know exactly when your file is ready

⬇️ Clearer download behavior — automatic download if you stay, manual download if you come back later

⚙️ Configurable export options — paper size, orientation, table behavior, image behavior, and page margin presets

Read the full update here 👇️

https://buff.ly/fsRPILB

Improved PDF Export: A more reliable way to take your notes offline - HackMD Explore HackMD's improved PDF export experience. More reliable conversion, better output quality, and new layout controls help you turn your notes into PDFs you can actually trust.

A lot of your content doesn't start inside HackMD — it starts as a local file, a tool export, or an AI-generated draft 📂

We just shipped Markdown file upload in Overview to make moving that content in much faster

Here's what's new:

📥 Upload one or multiple .md files at once

🗂️ Support for .md, .markdown, .mdown, .mkd, and .txt

📊 Clear upload progress, limits, and error states

Read the full update here

https://buff.ly/KGFvyxa

Upload Markdown Files: A faster way to bring your content into HackMD - HackMD Explore HackMD's new Markdown file upload in Overview. Upload one or many `.md` files at once and move your existing Markdown content into HackMD without the one-file-at-a-time slog.

For Stoffel Labs, HackMD is much more than just another documentation tool in their workflow

It acts as the essential context layer for their automated systems

It is crucial for taking raw ideas generated by AI agents from an unpolished version to fully fleshed-out details

This process ensures that their entire team can collaborate, refine, and agree on the final output before anything ships

Read the full post to see how you can apply this to your own agentic workflows 👇

https://buff.ly/HhFbsua

How Stoffel Labs Uses HackMD as the Governance Layer for AI-Generated Docs - HackMD AI tools can draft PRDs, RFCs, and design rationale faster than teams can review them. Stoffel Labs and HashCloak founder Mikerah Quintyne-Collins shares the workflow her team uses to close that gap.

HackMD is the essential context layer between your team and your AI agents 🧠

As organizations scale their automated workflows, keeping everyone aligned becomes a challenge

You need a single, reliable source of truth that both human collaborators and your automated tools can access

In an increasingly AI-driven world, your human perspective is your most valuable asset 👤

AI can automate your pipelines and generate boilerplate, but true innovation requires human insight

Your HackMD profile is the perfect place to showcase the actual mind behind the machine

Curate your best notes, technical designs, and collaborative projects into a living portfolio

Let other developers see how you think, organize your ideas, and solve complex problems

Your AI agents are producing a lot of Markdown

Specs, skill files, changelogs, design docs

The output is fast, but it still needs a human eye before it becomes the source of truth 🧠

HackMD is built to be that in-between layer

Agent drafts land in a collaborative editor where your team can review rendered Markdown, leave comments on specific sentences, track every revision, and control who sees what until the content is ready

The agent writes it
Your team validates it
HackMD is where that happens

https://buff.ly/HmcP5aK

When Your AI Writes the Docs: A Governance Layer for Agent-Generated Markdown - HackMD AI agents are generating Markdown faster than humans can read it. Spec drafts, skill files, meeting notes, architecture docs; all produced in seconds, all demanding human judgment before they enter a source of truth. This post argues that the missing piece in modern AI stacks is not another agent, b...