Web Search Agents are expert web crawling and research agents for your specific domain (company enrichment, regulations research, etc.). They self-learn your use case to go deeper into the sources that matter most to you, giving your AI deeper and more relevant web context. To get started, give your AI this link: https://docs.nimbleway.com/agent-onboarding.md
Nimble's web search agent is grest product, at wide range monitoring of news and other types of feeds; you have gcontrol over types of sources it will go through and the amount of credits you use.
Love that each agent keeps memory of past runs and deprioritizes sources that burned it before, so reliability compounds over time instead of resetting on every query.
are there any plans to add customizable presets so we can quickly apply saved terminal configurations for different project types?
Would be cool to see how much better it gets after using it for the same kind of research over time.
Using less tokens without losing the useful stuff is the part I’m most curious about.
“I wonder what happens when it picks the wrong source and keeps going with it.”
“Researching companies usually turns into a million tabs for me. I can see the appeal here.”
had a blast collaborating on this launch.
Web Search Agents are specialized web experts that execute complex web research, enrichment, and dataset building tasks for your specific use case.
Hey! Alon here from Nimble. Super excited to tell you about our latest launch.
We built Web Search Agents to discover and retrieve everything your AI needs from the web, using less tokens.
Generic web search tools can discover basic information for your AI, but complex research tasks require expertise.
Web Search Agents are experts at researching specific domains - like company enrichment, news monitoring, financial analysis, and any other research task.
They go deeper into your domain than other web search tools by self-learning the best ways to retrieve the specific information you need. The result is more complete, accurate web context, using less tokens.
“Self-learning agents automate web research + retrieval”
Web Search Agents by Nimble launched on Product Hunt on September 14th, 2026 and earned 283 upvotes and 41 comments, earning #2 Product of the Day. Web Search Agents are expert web crawling and research agents for your specific domain (company enrichment, regulations research, etc.). They self-learn your use case to go deeper into the sources that matter most to you, giving your AI deeper and more relevant web context. To get started, give your AI this link: https://docs.nimbleway.com/agent-onboarding.md
Web Search Agents by Nimble was featured in API (98.6k followers), Developer Tools (519.3k followers) and Artificial Intelligence (478.4k followers) on Product Hunt. Together, these topics include over 215.9k products, making this a competitive space to launch in.
Who hunted Web Search Agents by Nimble?
Web Search Agents by Nimble was hunted by fmerian. 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 Web Search Agents by Nimble stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
fmerian
Expert-level search that can go deep and crawl the web in real time. Let's go!