The system, running for real teams.
Eleven teams in eleven markets, one playbook: find the people already engaging with the voices their buyers follow, verify the contact, and say something specific while the interest is fresh. Here is what each of them watched, what they did, and what happened.
How Webhound added 200 users with Saava's intent data
Webhound charges for research actually done, with no seats and no subscription, so its best users are the ones with real questions to answer again and again: people already spending heavily on AI, running the same kind of research every week, with money riding on the answer. None of that shows up in a job title. An analyst, a founder and an engineer can all be the right user, or none of them can.
- 01Describe your buyer by what the work is worth to them, not by title. Webhound wants people whose research decides a large amount of money.
- 02Listen for people talking about what they already spend: AI tool bills, API costs, LLM spend, research they are trying to automate.
- 03Track the leaders of the tools your buyers already use. The people engaging with AlphaSense and Perplexity are already paying attention to research tools.
More stories
11 teams
How Alif Sessions closed a paid in full deal in its first week on Saava
Alif runs a founder community in San Francisco. Sessions is its seven week sales program for founders who already have a product.
How Wellington Row Group turned refinancing and financial-close chatter into a live deal list
Gets middle-market operators in affordable housing, education, agriculture and infrastructure capital-ready.
How RevSave looks for consumer brands the week they launch, drop or restock
Recovers abandoned checkouts and failed payments with brand-trained AI calls and text messages, and is paid only on the revenue that comes back.
How Grow Big Ventures got a 38% reply rate selling outbound to outbound buyers
Builds owned outbound systems for B2B teams: software you keep, not a managed service.
How QuotaSight booked 32 demos a month from a buyer list competitors had worn out
AI co-pilot that analyzes calls, updates the CRM, and briefs reps before every meeting.
How Investor Signals found the founders who are actually raising
Pairs founders with experienced investors for high-signal pitch feedback before the real meetings.
How Omni books 47 demos a month at $12 per meeting
Books qualified meetings for tech and consulting teams via fully-managed LinkedIn outreach.
How Holloway Solutions timed founder intake to investor availability
Curated 1:1 pitch sessions between active investors and pre-vetted founders.
How Orbit Labs sold 5 AEO audits in 30 days in a brand-new category
Audits and fixes how AI answer engines describe and recommend your brand.
How Synapse Network built a list of 326 venture managing partners
An invitation only network for fund managers, LPs, lenders and family offices, where every introduction is matched to what each member needs and holds.