● Private beta Built for funds, angels & research teams

Signal infrastructure for investor attention

Your network = your net worth.

Wrong. Your edge is knowing which networks start moving first.

X Investor Radar tracks fresh-follow behavior from the people you already respect — turning that movement into an actionable scouting system for funds, solo angels, and research-heavy operators.

Track attention before consensus
Persistent branch maps
Source-aware overlap scoring
Scout earlierDetect hidden clustersPrioritize by overlapBuild conviction listsBrief your team fasterSignal before consensus

What it is

Built for people who treat attention shifts as investable signals.

The product combines monitoring, prioritization, and list-building in one opinionated workflow — so signal review doesn't die in screenshots and bookmarks.

Curated Lists 01 / 04
Feature

Curated Lists

Role-aware scout branches with a visual monitor map.

Branch map
Feature

Pull Data

Run scoped follow pulls and see what each scout role is responsible for.

Followings pulled
Feature

Followers Feed

Review candidates, strip duplicates, and flag the names worth moving forward.

Duplicate control
Feature

Monitor

Keep tracked deals grouped by category, status, and scout-followed context.

Deal queue
01
👁

Monitor high-value scouts

Track investors, operators, and niche domain experts whose follow graphs reveal changing conviction before it hits broader feeds.

02

Rank emerging names by overlap

Aggregate fresh-follow activity into a candidate stream that emphasizes repeated pickup across your watchlist rather than one-off noise.

03
🗂

Turn signals into operating lists

Sort candidates into VC, angel, or alpha tracks, build branch maps, and keep a persistent state for repeat research cycles.

How it works

From network movement to usable conviction in four steps.

Choose who matters, watch who they follow, rank repeated signals, then turn the best names into action.

01

Pick your scouts

Set up investors, operators, or domain experts you trust.

02

Watch new follows

Pull recent follow activity across the whole branch.

03

Rank overlap

Prioritize names that repeat across the right scouts.

04

Act earlier

Push the best names into lists, reports, and follow-up.

Instead of passively watching feeds, you define who matters, pull recent follows, and keep only the names that repeat in the right places.

Read the full workflow ↗

Why this matters

The edge is not just data access. It's knowing which attention movements deserve follow-through.

A fresh follow from the right scout carries more signal than a hundred loud takes after consensus forms.

"A fresh follow from the right scout can be more useful than a hundred loud takes after consensus forms."
Signal quality Overlap over noise
Research speed One state across views
Team utility Built for handoff

For investor teams

Compress weekly sourcing review into a systemized stream of fresh names, ranked by who discovered them and how often.

For solo researchers

Replace scattered bookmarks and memory-based tracking with a repeatable signal engine that persists your work.

The real cost of doing this manually

Model manual follow-triage cost as volume rises.

Model manual follow-triage cost as volume rises.

3,000 high-quality signals for $30. The same work done manually costs $10,000.

Number of follows to process 3,000 follows
500 10,000
API cost with XR $30

$0.01 per follow signal

Manual analyst cost $10k

@ $25/hr · 8 min per signal

Time saved 400 hrs

50 work days recovered

Cost reduction 333×

cheaper than manual research

Basis

Assumes $0.01 per follow signal and a $25/hr manual analyst rate, with 8 minutes to find, vet, and log each signal. Drag the slider to model how quickly manual follow-processing becomes expensive.

FAQ

Common questions before teams start using it.

The product is opinionated, but the role is simple: detect early attention shifts and make them easier to operationalize.

Is this meant to replace scouts?

No. It narrows the field and uses the industry leaders' movements to track signals.

Who is it best for?

Funds, angels, and operator-investors who already maintain a mental map of scouts and want that workflow made explicit and persistent.

What is the primary output?

A ranked candidate stream, source-aware signal events, curated prospect lists, and daily report views tied to the same underlying state.

How often should I run pulls?

Most teams run low-volume pulls multiple times per day to stay current while controlling API spend.

Can I keep this focused to my thesis?

Yes. Use curated branches, scout roles, and category assignment so only relevant signals move into Monitor and Rundowns.

Does this work for solo operators too?

Yes. The workflow is useful for solo research as well as teams because state, history, and handoff stay in one system.

Start here

Open the product and make the signal map yours.