Pitch Support Brief · Confidential · May 2026

Reffer is not a referral app.
It is the displacement-event trust graph.

A supportive read of Reffer's pitch position, business model canvas, value flow, knowledge graph, and the three reframes most likely to lodge in a judge's memory at a competitive event.

SubjectReffer · ref-fer.com
FoundersShari Shipley · KG Hagedorn · AQ Shipley
StageSAFE · $40M cap · $5M target
Prepared byShur Creative Partners

01The headline read

The story Reffer has is already strong. The product is real, the traction is hard to fake, and the founder narrative is the kind of authentic origin most investors spend years looking for. The pitch refinement opportunity is not in adding more — it is in compressing what already exists into three reframes that survive the next twelve pitches a judge hears that day.

50+
Pro sports teams
10k+
Businesses on app
$110k
ARR (Y1)
1,200
Weekly transactions
$5M
Round target
$40M
SAFE cap

Three reframes, in order of leverage:

  1. Reffer is the displacement-event trust graph, not a referral app.
  2. The moat is the moment the data is captured, not the data itself.
  3. What is being built is portable social capital for communities that reset involuntarily.

02What is already working

These are the parts of the pitch the structural analysis confirms are landing. They should not change.

ElementWhy it works
The 24-hour Tampa Bay storyConcrete, sensory, time-stamped. Judges remember the six-week-old baby and the coffee.
"We don't trust random reviews. We trust teammates. We trust friends."One of the cleanest taglines in consumer software in 2026. Open with this.
50+ pro sports teams in 18 months"Highly protected spaces that don't open easily" is the right frame. Use that exact phrase.
Two-founder pairing (Shari + KG)Doors-opener plus systems-architect is the rarest founder fit pattern. Investors recognize it instantly.
AQ as third co-founderESPN / Pat McAfee distribution is paid distribution Reffer does not have to pay for.
WINI & PCH SageNot founder side projects. Evidence the trust thesis is lived, not pitched.

03The three reframes

These are the upgrades. Each one takes a true claim Reffer is already making and tightens it into language a judge will write down.

A · From "referral app" to "displacement-event trust graph"

Current frame: Reffer captures word-of-mouth referrals.
Upgrade: Reffer captures the moment trust is forced to reset.

Every high-trust community in the wedge — NFL families, Navy SEAL transitions, Super Bowl WAGs, NFL Combine prospects, PGA tour patrons — shares one hidden pattern: forced relocation creates acute, time-pressured trust debt. People rebuild an entire web of trusted relationships overnight.

That is not niche. Military families, executive relocations, divorces, new parents, college students leaving home, people aging into care — all displacement events. The pro-sports wedge is not the market. It is the proof that the displacement pattern repeats.

Why this lands harder: "Referral app" sounds like a category with twenty established players (Yotpo, Friendbuy, Extole, ReferralCandy, Mention Me). "Displacement-event trust graph" sounds like a category of one.

B · From "trust data" to "crisis-forged trust"

Current frame: AI needs trust signals review sites do not have.
Upgrade: AI needs trust signals made under stakes — and Reffer is the only place those exist.

The 6:12 a.m. group text asking for a pediatrician is not a casual recommendation. It is a survival decision. The NFL wife sharing her realtor at midnight before a 5 a.m. flight is not advertising. The Navy SEAL spouse asking for a child therapist is not "engagement."

Public review sites collect preference. Reffer collects crisis-forged trust. That is the data AI has no other way to source.

"The trust signal we capture is the kind a friend gives you at 6 a.m. when your kid has a fever. Yelp does not have it. ChatGPT cannot guess it. We have it because the people inside our communities trust us with it."

C · From "AI search era" to "portable social capital"

Current frame: Trust data layer for AI search.
Upgrade: Reffer is portable social capital for people whose communities reset involuntarily.

The "AI search era" framing is true but has a problem in the room: it sounds like an SEO play to half the audience and a Perplexity-clone play to the other half. Portable social capital is language judges have not heard before, and it does three things at once:

04Business Model Canvas

Healthy. No glaring holes — only emphasis decisions for how to lead with the strongest blocks.

Key Partners
50+ pro teams (NFL · MLB · NHL) · US Navy SEAL community · NFL Combine · WAGs at Super Bowl · WM Phoenix Open / PGA · GTM Fund (Altschuler) · Aprio (Pritchett) · Bregman family
Key Activities
Trust graph build · Enterprise platform rebuild · App paywall launch · Marketplace monetization · AI data layer dev
Value Propositions
(Consumer) Trusted recs from people you actually know — at the moment your community has just reset.

(Business) Access to closed communities you cannot reach any other way.

(AI buyer, future) Crisis-forged trust signals as licensable input for recommendation engines.
Customer Relationships
Private group function · Public lists · Business pages · Exclusive offers · Shared calendars · Team onboarding integration
Customer Segments
Stake-holding communities:
· Pro athlete families
· Military / SEAL transitions
· Sports event patrons
· Service-based local businesses
· (Future) AI assistants & discovery engines
Key Resources
The 50+ team relationships (non-replicable) · The trust graph data · AQ media reach (ESPN / McAfee) · Founder lived experience
Channels
App · Enterprise rollout via team onboarding · AQ's media · Influencer network · Public-facing trusted lists
Cost Structure
Engineering (CTO Souza) · Sales hires post-raise · Marketing for marketplace adoption · Platform rebuild · Light current burn
Revenue Streams
Three pillars, all live or in build: Subscription ARR ~$110k · Paid placements (~$100k pipeline) · Marketplace + Scout subscription (~$400k pipeline) · (Future) Trust data licensing to AI

05Value flow — the REA loop

The Resource-Event-Agent loop traces how value moves through one full Reffer cycle. The differentiator is the attribution event — the part of word-of-mouth that has been broken for as long as the medium has existed.

Community MemberAgent · Trusted PersonNFL family · SEAL spouseWAG · patron · neighbor RefferTrust GraphResource · Structured DataLists · Groups · PagesCalendars · MarketplaceAttribution Local / NationalBusinessAgent · Service Provider10k+ on platform AI Search / DiscoveryFuture · Data Licensing Layer ① Recommendation ② Discovery + ④ Credit ③ Conversion $ Placement + data ⑤ Trust signal export The closed attribution loop — the part of word-of-mouth that has been broken since the medium existed —

The five value events to name in the pitch

  1. Recommendation · community member → Reffer · a structured, attributed referral.
  2. Discovery · Reffer → other community member · the rec surfaced when needed.
  3. Conversion · community member → business · the action that closes the loop.
  4. Attribution · business → community member · credit, perks, quiet thanks. This is the part nobody else does.
  5. Trust signal export · Reffer → AI / discovery layer · the long-tail data product.

Loop ④ is the differentiator. Yelp does not pay the reviewer. Google does not credit the friend. Reffer closes the attribution loop, which is the one part of word-of-mouth that has been broken since the medium existed. Say so explicitly.

06Knowledge graph map

An InfraNodus analysis of the full source corpus surfaces eight thematic clusters, modularity 0.50, and four high-betweenness gateway concepts: reffer · trust · sport · business.

The eight clusters in the Reffer narrative

1 · Trust Data
18% nodes · 36% influence
reffer · trust · people · ai · real · trusted · building · data
2 · Subscription Model
21% · 18%
business · subscription · marketplace · paid · enterprise · placement
3 · Team Dynamics
11% · 18%
sport · team · community · nfl · professional · protected · super
4 · Influencer Network
14% · 9%
sale · influencer · network · shipley · founder · platform
5 · Credible Recommendations
10% · 7%
recommendation · list · resource · door · open · credible
6 · Behavioral Insights
12% · 5%
group · word · decision · drive · behavior · fragment · screenshot
7 · Infrastructure Support
9% · 5%
kg · family · phoenix · disappear · woman · overnight · infrastructure
8 · Online Influence
4% · 1%
influence · thing · life · online · polished

The structural opportunities (the supportive bridges):

  • Influencer Network ↔ Credible Recommendations — bridge is "everyone is an influencer because they are credible to one community."
  • Influencer Network ↔ Behavioral Insights — bridge is the conversion / attribution data that proves the rec works.
  • Credible Recommendations ↔ Behavioral Insights — bridge is the trust graph itself.

All three structural gaps are bridged by the same concept: the trust graph. That is what makes "trust graph" a stronger center-of-pitch than "referral app." It connects every other cluster.

For an interactive view of the graph, see the visualization section below.

07Visualizations · interactive

Four interactive views of the analysis. Each one is a different lens on why Reffer occupies a category-of-one position. Hover, click, and tab across — each reveals a piece of the pitch story.

Knowledge graph · force-directed

All 8 clusters laid out by structural pull. Larger nodes = higher betweenness centrality. Drag any node, hover for context, and notice how reffer and trust sit at the gravitational center connecting every cluster.

Trust Data Team Dynamics Subscription Model Influencer Network Credible Recs Behavioral Insights Infrastructure Online Influence

Source — InfraNodus analysis of combined corpus · 8 clusters · modularity 0.50

Competitive positioning · who lives where

Two axes that matter: who the platform serves (brand-side acquisition tool vs. consumer-side discovery), and what kind of community it operates in (public review vs. closed community). Reffer sits in the upper-right quadrant — the only commercial platform with closed-community + consumer-side positioning.

B2B referral platform landscape (Yotpo / Friendbuy / Extole / Mention Me) sits in the brand-side public quadrant · consumer review platforms (Yelp / Google) anchor public-bottom · social platforms (Reddit / Facebook Groups / Nextdoor) cluster in middle · Reffer is alone in upper-right

Traction timeline · origin to today

The arc from the 24-hour Tampa Bay phone call (origin event) through MVP, professional sports wedge, and Y1 of monetization. The timeline compresses six years of founder lived experience into the visible momentum a judge needs to feel.

Milestones drawn from Reffer source materials · forecast band assumes successful $5M raise close

Moat stack rank · what defends Reffer

Five defensibility factors, ranked by how non-replicable each one is. The community access at the top is the moat that compounds — every team brings families, who bring service providers, who bring their other clients.

Relative ranking · derived from REA value flow analysis + competitive landscape pass

08Anticipated Q&A

These are the questions any room with one or more experienced consumer investors will ask. Pre-write the answers; rehearse them out loud.

Q1 · "How is this not just Yelp / Nextdoor / Facebook Groups?"

Those are public review systems with no community gating. Reffer is the opposite — closed-community first, public second. The data is dense, attributed, and consented. Yelp owns 200M anonymous reviews. Reffer will own millions of attributed referrals from people who know each other. Density beats volume in trust.

Q2 · "How do you defend against a Yelp or Google clone?"

You do not — they cannot replicate the access. The 50+ pro sports teams took 18 months because the trust required to be welcomed in is what excludes incumbents. Yelp cannot show up at the NFL Combine. Reffer was the only company that could. That is not a feature; it is a regulatory-style moat.

Q3 · "What is the ARR trajectory?"

$110k ARR in Y1 of monetization with a $5M raise to push enterprise + marketplace + paid placements. Realistic 18-month target is $1M-$2M ARR depending on enterprise pace. Be specific about the path: completing the enterprise platform rebuild unlocks Y2 contracts already piloted.

Q4 · "Are you a data licensing play or an app?"

Both, in sequence. The app is the data acquisition layer. The licensing is the long-tail. Reffer becomes more valuable to AI assistants as the closed-graph data grows, because AI cannot generate trust signals — it can only retrieve them. You are not competing with AI. You are selling the missing input.

Q5 · "Why now? Hasn't word of mouth always been around?"

Three things converged in 2024–2026: (1) consumers stopped trusting paid-influencer content, (2) AI assistants need first-party trust data they cannot scrape, and (3) the post-COVID relocation economy made displacement events frequent enough to be a recurring trigger.

Q6 · "What is the moat in two years if everyone copies the model?"

The moat is community access, not technology. Anyone can build the app. Nobody else can ship it inside the locker room of an NFL team on day one of training camp. The moat compounds because each team brings its families, who bring their service providers, who bring their other clients.

Q7 · "Why two female founders specifically? Is the pitch the brand?"

The pitch is not the brand. The pitch is that the information vacuum that creates the need is invisible to everyone who has not lived it. Two women who lived through professional sports relocations and Navy SEAL transitions did not just identify the problem; they had to solve it for themselves before the company existed. The product is documented lived experience.

0990-second pitch arc

Suggested structure to land the three reframes inside the time most pitch contests give you. Adjust voice; keep the beats.

0:00 — 0:15
Hook · concrete sensory detail
"In 2020, my husband called me from a coffee shop and told me he had signed with Tampa Bay. I had a six-week-old baby and a two-year-old. In 24 hours, I had to find a new pediatrician, a new realtor, a new childcare provider, a new everything. The information existed — but only inside private text threads of NFL wives I had just barely met."
0:15 — 0:30
Category claim · displacement event reframe
"That is not a niche problem. Every year, millions of families experience the same forced reset — military, executive relocations, divorces, new parents, college kids leaving home. We call it a displacement event. It is the moment trust has to be rebuilt under pressure. And it is exactly the data AI assistants will never get from search history."
0:30 — 0:55
Proof · traction in compression
"In 18 months, Reffer has been welcomed inside 50+ professional sports teams across the NFL, MLB, and NHL — onboarding tools for incoming families. We are in the Navy SEAL community. We were the only company at the NFL Combine. We represent the WAGs at the Super Bowl. ARR is $110k in our first year of monetization. 10,000 businesses on the platform. 1,200 weekly transactions. We are not pitching a concept — we are scaling something already live."
0:55 — 1:15
Thesis · portable social capital + AI trust layer
"What we are actually building is portable social capital — the trusted relationship infrastructure people need when their community resets. And that data is the missing input for the AI search era. Search used to answer questions. AI will answer decisions. Those decisions are only as good as the data underneath them. We are building the data."
1:15 — 1:30
The ask
"We are raising $5M on a SAFE at a $40M cap to complete our enterprise rebuild, scale subscription, finish the marketplace, and develop the trust data layer for AI. Min angel check is $50k. Notable investors include Max Altschuler from GTM Fund, Alex Bregman, and Jason Pritchett. We want to talk to investors who understand that the next decade of consumer software belongs to whoever owns the trust graph."

10Strategic asks at the event

Beyond placing in the contest, treat the pitch as a way to attract the three things most likely to compound:

  1. One strategic angel from the consumer or AI space ($50k–$250k checks) who can help with the next round.
  2. One distribution partner — a community gatekeeper in adjacent verticals (military families, new-parent communities, executive relocation services).
  3. One advisor with explicit AI search / data licensing experience. Yext, SEMrush, and Perplexity adjacency is the most useful network gap right now.

Have a one-paragraph follow-up email pre-written before walking on stage. Send it within four hours.

"We are not building an app for referrals. We are building the trust graph for the moment people need it most — when their world has just changed, and the only thing they have left is who they know."