From Thesis to Deal Flow in 48 Hours
Ted is not a database you search. Ted is an agent that monitors signals, scores companies, and delivers relevant deal flow to your inbox every morning. Here is exactly how it works.
01
Thesis Configuration
Ted learns how you invest.
- Define your investment thesis: stage focus, sector preferences, check size, geography, and any specific criteria that matter to your fund.
- Set signal weights: tell Ted which signals matter most. Hiring velocity might be critical for your seed thesis but less relevant for growth.
- Configure exclusions: industries, stages, geographies, or company types you never invest in.
- Ted builds a scoring model tuned specifically to your investment approach. No two funds get the same feed.
02
Signal Monitoring
Ted watches thousands of companies across six signal categories.
- Hiring velocity: new roles posted, key executive hires, engineering team growth, leadership changes.
- Funding activity: new rounds announced, bridge financings, grant awards, investor syndicate changes detected through SEC filings and press.
- Traction indicators: web traffic changes, app store rankings, social media growth, review velocity, customer logo additions.
- Press and mentions: media coverage, conference appearances, award wins, analyst recognition, podcast features.
- Product launches: new products shipped, feature releases, API launches, platform expansions, pricing changes.
- Market timing: sector momentum signals, regulatory developments, competitive landscape shifts, M&A activity in adjacent spaces.
03
AI Scoring and Matching
Every company gets a composite score weighted to your thesis.
- Ted scores each company on a 0-100 scale based on signal strength, recency, and relevance to your specific thesis.
- Signal decay: recent signals weigh more than old ones. A hire from last week matters more than a press mention from three months ago.
- Thesis matching: Ted explains why each company scored highly for your fund specifically, not just why the signals are strong in general.
- False positive filtering: Ted learns from your feedback. Companies you pass on inform future scoring. The model gets sharper every week.
04
Daily Email Delivery
Every morning, scored companies in your inbox.
- A clean, scannable email with your top-scored companies for the day. Company name, score, signal breakdown, one-line thesis match.
- Sorted by score. The most relevant companies are at the top. No scrolling through noise to find signal.
- Each company includes one-click deep dive links: LinkedIn, Crunchbase, news mentions, hiring pages.
- On Scout Pro and Enterprise, the same data is available in your dashboard with full signal history and filtering.
05
One-Click Deep Dives
Go from signal to conviction in minutes, not hours.
- Every company card links directly to relevant sources: the job posting that triggered the hiring signal, the press article, the funding announcement.
- Signal timeline shows how the company has evolved over weeks and months. Are signals accelerating or decaying?
- Competitive context: how does this company compare to others Ted has surfaced in the same sector?
- Export to your CRM or deal tracking tool. No manual data entry.