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).
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.
The per-run cost tracking sounds super useful. One thing I'd love to see is a simple shared cache layer so if multiple agents hit the same page within a short window they don't each pay for a fresh fetch, would cut costs noticeably for teams running parallel agents on overlapping research.
Finally something that doesn't choke on the first Cloudflare wall it hits, the multi-backend fallback actually worked on a stubborn site I'd been scraping manually for days.
Honestly, the per-run cost tracking is a nice touch since most tools like this just hand you a bill at the end. Also cool that it actually falls back through multiple backends instead of just giving up on a stubborn page.
honestly the cost tracking per run is a nice touch, but it would be super useful to have a built-in retry budget or fallback summary so you know which backend actually succeeded and how many credits got burned along the way when things go sideways.
finally tried it with a stubborn cloudflare page and it actually pushed through on the third backend without me babysitting it. the per-run cost line is genuinely useful for keeping my agent spend in check.
the self-healing backend escalation is genuinely clever, finally stopped fighting captchas in my agent loops
finally something that handles captchas without me babysitting the agent. dropped it into my cursor workflow and the cost tracking was honestly the part that sold me.
Would love to see a simple dashboard for reviewing past runs showing which backend actually got used and why, so I can spot when the fallback chain is hitting a slower tier more often than it should.
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.
DLBrowser was featured in Open Source (68.6k followers), Developer Tools (516.2k followers), Artificial Intelligence (474.1k followers) and GitHub (41.3k followers) on Product Hunt. Together, these topics include over 223.9k products, making this a competitive space to launch in.
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.
Want to see how DLBrowser stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Abhishek Gupta