{"id":97405,"title":"Webhound Reports: Deep research that scales with your budget","tagline":"Long-running deep research for the highest quality reports","body":"Hey everyone, Moe here.\n\nWe're building Webhound — AI research agents where you set a budget and the agent keeps researching until it runs out. More budget = more sources, more depth.\n\n**How we got here:** We started with a product (now called Datasets) that builds structured tables from the web. It worked, but we hit a wall: as datasets got bigger, costs exploded and context became unmanageable. And for open-ended datasets, we never had a clean answer for \"when should the agent stop?\"\n\nSo we rebuilt everything around two ideas: costs that stay linear with time, and giving users direct control over depth.\n\nThe new architecture is a **Planner-Executor-Verifier loop**. Executors get fresh context each run. Planner and Verifier work from summaries and can search over what's accumulated. Runs until budget's out.\n\nWe tested it on traditional deep research as a sanity check. At $3-5, it beat the top result on DeepResearch Bench. At $15, it way outperformed it, even running on older models (gemini-2.5-flash). So we shipped it as Reports and put the same architecture into Datasets.\n\n**We now have two products:**\n\n* **Reports** = cited research docs (competitive analysis, market research, system design). Always uses the full budget—more budget means more sources and deeper coverage.\n* **Datasets** = build structured tables from the web, or upload your own and enrich with new columns. We can access LinkedIn, YouTube, Reddit, and most other sites. Examples: lead lists with company info, competitor feature matrices, lists of VCs filtered by thesis, GTM leads with emails. Stops when complete, or at budget, whichever comes first.\n\n**Asks:**\n\n* **Try it** – [**webhound.ai**](http://webhound.ai), $5 free. Honest feedback welcome.\n* **Spread the word** – if it's useful, share it with anyone you know doing a lot of research (investors, analysts, consultants)\n\n– Moe\n\n![uploaded image](/media/?type=post\u0026id=97405\u0026key=user_uploads/1444435/fceaddd4-53f4-438f-930d-a4bf18bf97ce)\n\n(Demo Video for Reports: [**https://www.youtube.com/watch?v=eEGJBudvmsE**](https://www.youtube.com/watch?v=eEGJBudvmsE))","slug":"PL3-webhound-reports-deep-research-that-scales-with-your-budget","created_at":"2026-02-02T18:32:28.191Z","updated_at":"2026-05-24T10:44:36.055Z","total_vote_count":3,"url":"https://www.ycombinator.com/launches/PL3-webhound-reports-deep-research-that-scales-with-your-budget","share_image_url":"https://www.ycombinator.com/media/?type=post\u0026id=97405\u0026key=user_uploads/1444435/fceaddd4-53f4-438f-930d-a4bf18bf97ce","company":{"id":29091,"name":"Webhound","slug":"webhound","url":"https://webhound.ai","logo":"https://bookface-images.s3.amazonaws.com/small_logos/1c9d8480ce32c923dc77fca44069ab19c5dab6eb.png","batch":"Summer 2023","industry":"Consumer","tags":["Artificial Intelligence","Generative AI","Consumer","Search","AI"],"search_path":"https://bookface.ycombinator.com/company/29091"}}