Webhound Reports is an AI research agent where quality scales with the budget you give it. Simply describe what you need, set a budget, and Webhound keeps researching until the budget runs out — more budget means more sources, more depth, more coverage. Every fact is cited and verifiable. We ranked number one on DeepResearch Bench. Try it free with five dollars in credits.
Talking to users, we kept hearing the same thing: they cared more about quality and control than speed and cost. They wanted research that got better the more time and budget they gave it.
So that's what we built. Long-running research agents that scale quality with the resources you give them. Set a one dollar budget, get a concise report. Set fifteen, get a comprehensive report with hundreds of verified sources.
We ran this new deep research architecture on DeepResearch Bench and it ranked number one.
The architecture is a planner-executor-verifier loop. Planner creates research tasks, executors search and extract with citations, verifier checks the work before moving on. It keeps cycling until your budget runs out.
Reports is for generating comprehensive research documents — competitive analysis, system design research, market deep dives.
Would love to hear what you'd use it for.
About Webhound Reports on Product Hunt
“Deep research that scales with your budget”
Webhound Reports launched on Product Hunt on January 30th, 2026 and earned 95 upvotes and 8 comments, placing #11 on the daily leaderboard. Webhound Reports is an AI research agent where quality scales with the budget you give it. Simply describe what you need, set a budget, and Webhound keeps researching until the budget runs out — more budget means more sources, more depth, more coverage. Every fact is cited and verifiable. We ranked number one on DeepResearch Bench. Try it free with five dollars in credits.
On the analytics side, Webhound Reports competes within Artificial Intelligence, Tech and Search — topics that collectively have 1.1M followers on Product Hunt. The dashboard above tracks how Webhound Reports performed against the three products that launched closest to it on the same day.
Who hunted Webhound Reports?
Webhound Reports was hunted by Garry Tan. 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.
Garry Tan
Hey Product Hunt, Moe here.
Talking to users, we kept hearing the same thing: they cared more about quality and control than speed and cost. They wanted research that got better the more time and budget they gave it.
So that's what we built. Long-running research agents that scale quality with the resources you give them. Set a one dollar budget, get a concise report. Set fifteen, get a comprehensive report with hundreds of verified sources.
We ran this new deep research architecture on DeepResearch Bench and it ranked number one.
The architecture is a planner-executor-verifier loop. Planner creates research tasks, executors search and extract with citations, verifier checks the work before moving on. It keeps cycling until your budget runs out.
Reports is for generating comprehensive research documents — competitive analysis, system design research, market deep dives.
Would love to hear what you'd use it for.