Predictive Intelligence
Relationship Weather Forecast
Not just current health — where each relationship is going. Rolo predicts decay 30-90 days out based on your personal interaction patterns, so you act before it's too late.
3
Storm warning
7
Cooling fast
801
Clear skies
"At current rate, you'll lose 3 investor relationships by June. Your historical data shows a 34-day recovery lag after drift."
Sarah Ventures
Principal · Sequoia
11
days
Based on your typical 14-day contact rhythm — you're 11 days overdue
Act within 11 days · Recovery takes 6+ weeks after drift
Chris Wainwright
MD · First Round
24
days
Last interaction was 18 days ago. Your pattern with Chris is 3-week cycles.
24-day window · A warm touchpoint now preserves momentum
Marcus Chen
Partner · a16z
✓
healthy
Coffee this week. Meeting in 2 days. Strong cadence — no action needed.
Clear skies · Relationship on strong trajectory
How the forecast works
Your interaction rhythmLearns how often you typically communicate with each person — not a global average, but specific to that relationship.
Decay modellingCalculates when drift becomes irreversible based on your historical data — the point of no easy return.
Recovery time lagTracks how long it historically takes to recover a relationship after drift sets in — typically 4-8 weeks per tier.
Priority scoringRanks urgency by relationship importance × time remaining × recovery difficulty. Shows you who matters most first.
Network Intelligence
Intro Chain Builder
Not just "you have a mutual connection" — the exact warm path, probability scored at every hop, with pre-drafted messages for each relay. Your relationship GPS.
J
You
Jack Luo
9.2 / 10
Relationship strength
Marcus Chen
Partner · a16z
7.8 / 10
Via LP network
P
Patrick Collison
CEO · Stripe
Step 1 · Your message to Marcus
"Hey Marcus — I know you've got a good relationship with Patrick Collison via the a16z LP network. I'd love a warm intro if you think the timing's right. We're building Rolo — the relationship intelligence layer that everyone at the fund keeps asking about. Happy to share the deck first. Worth 15 minutes?"
Step 2 · Marcus's intro to Patrick
"Patrick — wanted to connect you with Jack Luo, founder of Rolo. Building the relationship intelligence stack I've been excited about — auto-ingestion, semantic search, ambient capture. Reminded me of your Stripe thesis on removing friction from financial infrastructure but for people networks. Worth 15 min?"
Alternative paths (3 found)
You → Aisha Patel (Stripe) → Patrick
61%
You → Sarah V. → Sequoia LP → Patrick
44%
You → Chris W. → YC → Patrick
28%
Why Marcus is the best relay
✓Made 3 intros for you, all responded within 48h
✓Mentioned Patrick by name in 2 tracked conversations
✓Your relationship strength: 9.2/10 — growing for 8 months
~Patrick is most responsive to pitches under 60 words
Commitment Tracking
Conversation Debt Ledger
Every promise you've made, automatically extracted from voice memos, emails, and meeting notes. Invisible debts are why relationships erode. This makes them visible.
3
Overdue
4
Due soon
7
Total open
14
Fulfilled
Person
What you owe
Source
Promised
Status
Done?
Sarah Ventures
Send updated Series A deck with retention cohort data
Email · Apr 2
13d over
Overdue
Marcus Chen
Intro to Amy Park at Stripe — he offered, waiting on you to confirm
Voice · Mar 28
11d over
Overdue
Aisha Patel
Reply to her Series A feedback message from March 22
Email · Mar 22
5d over
Overdue
Liam Kowalski
Confirm date for engineering collaboration kickoff call
Voice · Apr 1
3 days
Due soon
Chris Wainwright
Share the Rolo 6-month roadmap doc he asked for
Email · Apr 3
5 days
Due soon
External Intelligence
Signal Intelligence Feed
Your contacts are constantly broadcasting signals — new roles, funding, articles, talks. Rolo monitors and ranks them by re-engagement timing: the science of when, not just that you should.
Response rate by timing
After a trigger event, when you reach out matters as much as what you say.
0–72h
82%
3–7 days
51%
1–2 weeks
28%
2+ weeks
12%
Signal sources monitored
LinkedIn activityLive
News mentionsLive
Crunchbase fundingLive
Conference talksWeekly
Published articlesWeekly
Twitter / X postsComing
Network Analysis
Network Concentration Risk
Your network feels large. But structurally it may be fragile. Rolo maps your dependency on bridge nodes — people whose loss would cut you off from entire communities.
Critical bridge (>60% dependency)
Warning bridge (30-60%)
Healthy node
Peripheral
Diversification actions
1.Build 2 direct relationships with a16z partners beyond Marcus — reducing your 87% concentration to ~40%.
2.Your startup founder cluster is entirely routed through Liam Kowalski. Attend one YC event to build 3 direct connections.
3.Engineering community has good redundancy — 4 bridge nodes. No action needed.
Critical bridge nodes
Marcus Chen
VC cluster · 47 contacts
87%
Liam Kowalski
Founder cluster · 31 contacts
52%
Aisha Patel
Stripe cluster · 18 contacts
38%
Suggested new connections (VC cluster)
Angela Strange · a16z
Bio/healthcare focus, 3 mutual connections. Diversifies away from Marcus's deep tech focus.
Renata Quintini · Lux Capital
Science-backed AI investor, 2 mutual connections. Opens entirely new LP community.
Ali Partovi · Neo
Founder-focused investor, 4 mutual connections. Bridges into YC network independently.
Behavioural Intelligence
Relationship Genome
Every person communicates differently. Rolo builds a behavioural fingerprint for each contact — then adapts your outreach to their specific style, not a generic template.
Marcus Chen
Partner · a16z · Genome built from 47 interactions over 2.3 years
Communication fingerprint
Response speed8.5
Warmth register7.2
Message depth6.0
Decision speed9.0
Follow-through8.8
Reciprocity7.8
Preferred mediumEmail + In person
Responds to emails within 4 hours (avg). LinkedIn messages: 3-day avg. Text: never initiates. In-person: highest engagement quality. Avoid Slack/DM for important asks.
Optimal message lengthUnder 80 words
Messages above 120 words get 40% lower response rate from Marcus. His replies average 31 words. He values brevity and specificity. One clear ask per message.
Peak response windowTue–Thu 7-9am PT
78% of his fastest replies come Tuesday through Thursday, 7-9am Pacific. He appears to process email before the SF trading day. Avoid Friday afternoon and weekend sends.
Energy topicsAI pricing · Data moats
Replies are 2.3× longer when these topics appear: AI-native pricing models, data moat defensibility, ambient computing. He mentioned CAC/retention 4 times across tracked conversations.
Genome-tuned message draft
Auto-optimised for Marcus
"Marcus — quick one. Following up on the Stripe intro. Aisha's expecting my note — should I reference the a16z relationship or keep it founder-to-founder? Also, the 6-month retention cohort you asked for is ready. Want me to drop it here or save for the call? Either way, grateful for the chain."
67 words · Tuesday 7:30am PT send · Warm-casual tone · Two specific asks · References previous context
Brevity: ON
Specific ask
References last interaction
Add urgency
More formal
Latent Network
Ghost Contact Detection
People you should know but don't. Strong latent ties — high mutual connections, aligned industry, attended the same events — but you've never been in a room together. These are your highest-probability cold intros.
34
Ghost contacts found
12
High resonance (>70%)
8.4
Avg mutual connections
These are already warm in the social graph. You're just missing the activation event. Rolo finds the optimal intro path for each.
This week's #1
JK
88
resonance
Jordan Kim
Partner · Bessemer Venture Partners · NYC
+9
12 mutual connections
Optimal path: You → Marcus Chen → Jordan Kim. Marcus has made intros into Bessemer before (87% response rate).
NR
78
resonance
Natalie Reid
Head of Product · Notion · San Francisco
+5
7 mutual connections
Path: You → Aisha Patel → Natalie. Both worked at Stripe before Notion. Aisha mentioned Natalie by name twice.
DT
67
resonance
Daniel Torres
CTO · Scale AI · San Francisco
+4
5 mutual connections
Path: You → Marcus Chen → Daniel. a16z portfolio company connection. Attended same Cerebral Valley event in Jan.
Ambient Intelligence
Ambient Commitment Radar
Sits silently during your meetings. No recording. No transcript. Just pure signal extraction — commitments made, names dropped, emotional high points. The 30-second brief at the end tells you what actually mattered.
Tap to enter meeting mode · No recording, pure signal extraction
Privacy-first: processes audio locally, extracts only structured signals (commitments, names, topics), discards everything else in real-time.
What it detects (not records)
●
Commitments — "I'll send you..." "Let me intro you to..." "I'll look into..." — from either party
●
Names — People mentioned who aren't in the room, added as potential contacts to review
●
Energy peaks — Topic clusters where speech rate and volume indicate genuine interest or concern
●
Never recorded — Audio never leaves your device. No transcript. Zero retention after extraction.
Live detections
Meeting summary · Investor Sync
Apr 8 · 9:30 AM · 43 minutes
43:17
4
Commitments
3
Names dropped
2
Energy peaks
C
You committed to send retention deck to Marcus by Apr 10
C
Marcus committed to introduce you to Amy Park at Stripe
P
David Kim (a16z associate) mentioned as potential follow-up
↑
Highest energy: AI pricing models discussion (minutes 18-24)
↑
Highest energy: Data retention/moat discussion (minutes 31-38)