Scalebrowser· Browser infrastructure for AI agents
Self-hosted browser infrastructure that keeps AI agents signed in and moving.
Developer Tools·AI & Machine Learning
What is Scalebrowser?
Scalebrowser is a browser infrastructure for AI agents.
Scalebrowser is self-hosted browser infrastructure for teams running AI agents. Each agent gets an isolated profile with a persistent identity that survives restarts and encrypted moves between your machines. Cookies, logins, passkeys, memory, and tasks remain with it.
A patched Chromium fork works below the page instead of covering automation traces with scripts. It uses the real GPU and screen in your machine, rejects contradictory identities, and sends every click, keystroke, and scroll through a human-like input layer. Agents can handle email and SMS codes, generate TOTP, solve 18 measured captcha types, and respond to browser permission prompts.
Scalebrowser connects over MCP, REST, Node.js, Python, or direct CDP. Compact page maps and deltas reduce model context, while run trails, per-step screenshots, secret filtering, and server-side limits make work observable and controllable. Profiles are unlimited on every plan; pricing is based only on concurrent browsers and machines.
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FounderPlaybooks.
What other founders did to grow.
2722 dispatches from hundreds of founders, pulled from the week's best podcasts.
Reddit was really big at the time... there wasn't really any like really iOS first app that really I loved so I was like you know screw it this is this could be a fun project.
Scratch your own itch in a community you love — that is where great indie apps start
Apollo began not with a market research exercise but with a genuine gap Christian felt every time he opened Reddit on his iPhone. The best indie apps are built by people annoyed that the tool they want doesn't exist yet — because they will use the product obsessively, notice every flaw, and keep improving it long after a mercenary builder would have moved on.
for 6 years every decision we make about features we ask ourselves okay like what do we want to do and can we do that in a way that we where we crowdsource the content from the community itself eventually in the beginning we were Tech based interviews with Founders well you can crowdsource that right you can create a questionnaire that's templatized and you can send it to a lot of people you can have very minimal um overhead on that
Crowdsource every feature before you build it yourself
Run every new feature through one filter: can the community produce the content itself? Templated founder questionnaires, self-served product pages, user-submitted job posts, crowdsourced articles. This is how a two-person team runs a 42K-product directory. If you can't crowdsource the refill, you're launching a treadmill, not an asset.
There's a play for whatever you're stuck on.
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