This is a fantastic product for truly deep research, substantially better than just Codex + Parallel/Exa. Extremely comprehensive results. I highly recommend checking them out.
Agents are lazy at research. They stop at the first confident answer, even when more research could change it.
Webhound is your agent’s research engine. You use budget to decide how much research a question deserves.
We gave it $5 to investigate a border wall contract. It found
Agents are lazy at research. They stop at the first confident answer, even when more research could change it.
Webhound is your agent’s research engine. You use budget to decide how much research a question deserves.
We gave it $5 to investigate a border wall contract. It found an unreported $18M change.
One pattern I find useful for working with LLMs is a nice long ramble session. Sometimes the LLM needs more bits to understand what you're trying to achieve, but you're too lazy to type them. In these cases I like to lean back, switch to /voice and just ramble for like 10
We asked 50 top investors what they expect founders to know about their space, then distilled the answers into the Founder Stack.
10 reports backed by ~15 continuous hours of research that go deeper on your market, customers, competitors, wedge, upside, and the case against you than anything else out there.
If you don't learn something new, you get your money back.
Most AI tools hallucinate and hope you don't notice.
Webhound now shows the exact tool call chain behind every claim. Every search. Every page. Every python script.
Go try to catch it lying. We don't think you will.
webhound.ai/news/tool-chai…
As a “business guy” I’m slightly embarrassed to share what I’ve been vibe coding. I’ve built a pipeline for doing deep research on San Francisco public policy issues using Manus, Webhound.ai, and Dropbox. When I share I hope you all will have a ton of useful advice (instead of flaming me).
Introducing Webhound Agent: Your AI research assistant powered by the best deep research money can buy.
Most deep research products decide for you when to stop — and since they're subscription-based, the less work they do per query, the more they profit. Webhound flips that. You set the budget and Webhound keeps searching until it's used. $5 or $100 — every dollar goes into deeper search, more sources, and real verification.
Today we're launching Webhound Agent — a full research assistant with a workspace. Start research from chat. Analyze results with code and follow-up questions. Organize everything in folders. Run multi-step pipelines. The agent remembers your preferences and gets better the more you use it.
Pay-as-you-go. No subscriptions. $5 free to start. See real example reports at different budgets: webhound.ai/examples
My new deep research setup: Manus to create research prompts / exec summaries, Webhound to run$100 deep research reports (Manus uses the Webhound API), Dropbox to store all the research reports (Manus saves/ organizes reports using the Dropbox API)
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53 Followers 640 FollowingAI Nerd. ExEVP Data at Lazada (Alibaba). Ex MapR. Compulsive community organizer: DataScienceBKK, BigDataSG, Barcamp Bangkok & Yangon. @jfxberns in a past life.