This product was not featured by Product Hunt yet. It will not be visible on their landing page and won't be ranked (cannot win product of the day regardless of upvotes).
Product upvotes vs the next 3
Waiting for data. Loading
Product comments vs the next 3
Waiting for data. Loading
Product upvote speed vs the next 3
Waiting for data. Loading
Product upvotes and comments
Waiting for data. Loading
Product vs the next 3
Loading
DLBrowser
**Self-healing web access for AI agents**
DLBrowser gives AI agents reliable web access in one line. A self-healing engine escalates through 5 backends to beat Cloudflare, captchas & JS-heavy pages — with per-run cost tracking and transparent credits. MCP-native, MIT, self-hostable. Works with Claude, Cursor, Windsurf & more.
Hi Product Hunt 👋
I built DLBrowser after wiring web access into one too many AI agents and hitting the
same wall: some sites work with a plain fetch, others need a full browser, others are
behind Cloudflare — and the built-in agent browser tools fail silently while you have
no idea what each run costs.
DLBrowser is one MCP endpoint (plus a Python package + CLI) backed by a self-healing
engine. It tries the fastest backend first and only escalates to heavier, stealthier
ones when a site actually blocks you — recording the backend, credits, and estimated
cost of every run.
About DLBrowser on Product Hunt
“**Self-healing web access for AI agents**”
DLBrowser was submitted on Product Hunt and earned 15 upvotes and 9 comments, placing #67 on the daily leaderboard. DLBrowser gives AI agents reliable web access in one line. A self-healing engine escalates through 5 backends to beat Cloudflare, captchas & JS-heavy pages — with per-run cost tracking and transparent credits. MCP-native, MIT, self-hostable. Works with Claude, Cursor, Windsurf & more.
On the analytics side, DLBrowser competes within Open Source, Developer Tools, Artificial Intelligence and GitHub — topics that collectively have 1.1M followers on Product Hunt. The dashboard above tracks how DLBrowser performed against the three products that launched closest to it on the same day.
Who hunted DLBrowser?
DLBrowser was hunted by Abhishek Gupta. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
For a complete overview of DLBrowser including community comment highlights and product details, visit the product overview.
Abhishek Gupta