ReelPull

1. One-liner

Upload any game footage plus your kid’s jersey number, get a coach-ready recruiting reel back in minutes.

2. Trend signal — why now?

Two things had to become true, and both did in the last 18 months.

Footage went cheap and everywhere. Veo, Trace, Hudl and XbotGo put full-game AI capture into every club and travel team in the country — Hudl alone claims 170,000+ college teams scouting on it, and Veo/XbotGo have six-figure installed bases of parents and coaches auto-recording games. A decade ago, getting usable full-field video of your kid’s game meant a parent with a camcorder freezing on the sideline. Now the footage exists by default. The raw material is solved.

Turning that footage into a recruiting reel is still manual labor. Trace’s own competitive page against Veo says it out loud: “For every new match, a player needs to manually find highlights, edit footage, and then upload that footage onto a video hosting platform to send to college coaches” and “Veo does not offer any features around college recruiting… these limitations force many Veo customers to use time-consuming tools like iMovie or hire editors.” The capture platforms deliberately stop at the panorama and the raw clip. Somebody still has to cut the 3–5 minute reel coaches actually watch.

So a cottage industry of human editors sits in the gap, charging $150–$500 per reel, $30–$450 per game just to pick clips, and $1,000–$5,000 for full-service packages — with 2–4 week turnaround being standard. That’s a lot of money and waiting for a task that is now, in 2026, a solvable AI problem: multimodal video models (Gemini, GPT-4o Vision) already detect goals, saves and key plays in sports footage, and open-source repos doing exactly this exist on GitHub. Jersey-number tracking — the one hard part — got cheap this year.

Provenance:

• Signal 1 (Demand): Recruiting-reel editing services charge $150–$500/reel, $30–$450/game for clip selection, $1,000–$5,000 full-service, 2–4 week turnaround; coaches watch only first 20–30 sec — https://prospectreels.com/pricing/ , https://www.veo.com/article/how-much-does-a-recruiting-video-cost , https://recruitreels.com/sports-video-pricing/ — 2026-07-06
• Signal 2 (Feasibility): Full-game footage exportable as MP4 from Veo/Hudl; multimodal video LLMs (Gemini/GPT-4o Vision) detect sports events off-the-shelf; open-source highlight-generation repos exist — https://support.veo.com/hc/en-us/articles/4451733961361-How-to-download-your-Veo-recordings , https://github.com/dennyschwender/sport-video-AI-analysis — 2026-07-06
• Signal 3 (Economic): Capture platforms scaled/funded on hardware but explicitly avoid recruiting reels (“Veo does not offer any features around college recruiting”); $4.0B in NCAA athletic scholarships to 197,000 athletes/yr, over 40,000 coaches recruiting via video — https://site.traceup.com/trace-vs-veo-for-recording-soccer-games/ , https://ncaaorg.s3.amazonaws.com/compliance/recruiting/NCAA_RecruitingFactSheet.pdf — 2026-07-06 Category: Tech-unlock

3. The opportunity

The gap is precise: capture is solved, recruiting-reel assembly is not.

Veo, Hudl and Trace are the incumbents — but they’re incumbents in the wrong layer. They sell cameras and team subscriptions to coaches and clubs. Their business is the panorama for tactical review. Recruiting reels are a different buyer (the parent, not the coach), a different format (3–5 min, player circled every clip, coach-formatted), and a different moment (junior year, not every week of the season). They’ve stayed out on purpose.

Veo shipped Player Spotlight — shirt-number detection with auto per-player highlight reels — so this isn’t a green field. But Player Spotlight has three fatal gaps for the recruiting use-case, and each is structural, not a bug they’ll patch:

1. Camera-locked. You must own/subscribe to Veo. Every athlete on Hudl, Trace, XbotGo, a livestream, or a parent’s iPhone is excluded. That’s the majority of the market.
2. Development reel, not recruiting reel. It produces “standout moments,” not a coach-formatted cut — no jersey spotlight/circle per clip, no intro card with position/grad-year/GPA/contact, no forced 3–5 min structure with best play first, no clean download for a recruiting profile.
3. Team-admin gated. Parents can’t self-serve. The person who feels the pain and holds the credit card can’t push the button.

The 10× is: platform-agnostic, parent-self-serve, recruiting-formatted, minutes not weeks. Bring footage from anywhere, get back the exact artifact a college coach expects, for the price of a pizza instead of $300 and a month.

4. Target market

• Primary customer: US parents of high-school club/travel athletes in the recruiting window (sophomore–junior year) — soccer, basketball, lacrosse, volleyball, football, softball. Household already spends thousands/yr on club fees, tournaments and travel; already has footage from the team’s Veo/Hudl/Trace or their own phone.
• Why they buy: “The season is 20 games, my kid touches the ball in maybe 8 moments a game, coaches watch 30 seconds, and I either lose a Saturday to CapCut every week or pay an editor $300 and wait a month — every time there’s new footage.” The pain repeats after every game and tournament, and the recruiting clock is unforgiving (D1 contact opens June 15 after sophomore year).
• Rough TAM reasoning: ~197K athletes get NCAA scholarships yearly, but the recruiting-hopeful funnel is an order of magnitude larger — millions of HS club athletes across sports whose families believe a reel matters. Even 100–200K paying families is a large business at consumer price points.
• Why now for them: Their team started auto-filming in the last year or two, so for the first time the footage exists — but nobody handed them the reel. They’re sitting on hours of MP4s they don’t know what to do with.

5. Product sketch (MVP)

• Upload from anywhere: drag in an MP4 (Veo/Hudl export, iPhone clip, YouTube-unlisted link, tournament stream). No camera lock-in.
• Tell it who: enter jersey number + team color (home/away kits); AI finds and tracks that player across the footage.
• Auto play-detection: model flags the kid’s touches, goals, assists, saves, tackles, rebounds — sport-specific.
• Auto-circle / spotlight: every clip highlights the player (arrow or spotlight) the way coaches demand — the single most-cited “must-have.”
• Coach-format reel: 3–5 min cut, best play first, intro card (name, position, grad year, height, GPA, club, contact), music-off version for Hudl upload.
• Per-game or full-season: generate a single-game reel same-day or a cumulative season reel; re-run free when new footage lands.
• Export + share: MP4 download + a clean shareable link formatted for coach outreach.
• Multi-sport templates: soccer/basketball/lacrosse/volleyball on day one; add sports as demand shows.

6. AI angle — what’s load-bearing

Remove the AI and this is a $300 human editor with a 3-week backlog — which is exactly the incumbent. The AI is the product:

• Jersey-number + kit tracking across a full-field panorama is the hard, load-bearing capability — it’s what lets a parent skip four hours of scrubbing. This is precisely the thing that got cheap in the last 12 months.
• Event detection (goals, saves, key touches) via multimodal video models replaces the “watch 90 minutes and mark the good bits” labor that editors charge $30–$450/game for.
• Auto-circling and reel assembly turn detection into the finished, coach-formatted artifact.

No AI, no product. That’s the test, and it passes.

7. Localization angle (if any)

N/A for v1 — this is a US play. The recruiting-video economy, the NCAA scholarship structure, the coach-outreach norms, and the willingness to pay are American-specific. A UK/EU academy version and an India/cricket-and-badminton version are real later expansions (the footage-is-cheap trend is global), but forcing localization now would blur a sharp US wedge. Geography is deliberately US-only for the wedge, not by neglect.

8. Business model — path to $1M–$5M ARR

• Pricing: Consumer prosumer tiers. $19 one-off per single-game reel (impulse buy vs. $150 human editor); $29/mo season pass (unlimited reels through a season, re-cut as footage arrives); $99 recruiting-season package (full-season cumulative reel + re-cuts + coach-format exports). Radically undercuts the $150–$500 human market while carrying 80%+ software margin minus inference cost.
• ACV: Blended ~$120/yr — most buyers take a season pass or two-plus one-offs across a recruiting cycle.
• Rough math to $1M ARR: ~8,300 paying families × $120/yr = $1.0M. Against a funnel of millions of club athletes, that’s <1% penetration.
• Rough math to $5M ARR: ~42,000 families × $120, or fewer families at higher ACV by adding sports, multi-year recruiting packages, and a coach-outreach upsell (the $1,000–$5,000 full-service tier that humans charge for, delivered as software + light human QA).
• Expansion path: one-off → season pass → multi-year recruiting package → outreach/coach-list add-on → younger siblings and new sports in the same household. A family in the funnel for 3 recruiting years is worth $300–$600.

9. Go-to-market wedge — first 100 customers

• Club team admins as a channel, not the buyer. DM/email the ~thousands of US club directors on TeamSnap/SportsEngine: “Your teams already film on Veo/Hudl — give every parent a free recruiting reel from footage you already have.” Club shares a link, parents self-serve. One club = 15–20 warm families.
• Recruiting-hopeful subreddits and Facebook groups. r/collegesoccer, r/BasketballTips recruiting threads, and the massive sport-specific “college recruiting” Facebook parent groups (tens of thousands of members each) are full of parents literally asking “how do I make a highlight video.” Post a before/after: raw Veo game → finished reel in 4 minutes.
• Cold outreach to the human editors’ customers. The $150–$500 editors advertise publicly; their unhappy “$300 and I waited a month” customers are findable. Run a “same reel, $19, before you finish reading this” comparison.
• Tournament-day pop-ups. Big club tournaments = thousands of families in one field complex over a weekend. QR code on a flyer: “Reel of today’s game before you drive home.” Instant, emotional, impulse purchase.
• Recruiting-service affiliate. NCSA/CaptainU-adjacent coaches and consultants already tell families “you need a reel” — pay them a cut to point families at ReelPull instead of a $300 editor.

If I can’t get a club director to forward one link, the idea’s dead — but that’s a one-week test, not a mystery.

10. Build complexity — justification

Medium. The web app, uploads, billing, and reel assembly are standard off-the-shelf. The load-bearing hard part is reliable jersey-number tracking on messy amateur full-field footage — variable camera angles, low resolution, occlusion. Off-the-shelf multimodal models plus existing sports-CV building blocks get you 70% there; the remaining 30% (accuracy on bad footage) is real tuning work and the honest reason this is Medium not Low. A small team ships a credible single-sport v1 in ~3–4 months.

11. Gating checklist

Gate	Pass?	Note
Legal in target market	✅	User-supplied footage they own/have rights to; standard ToS on upload rights.
Ethical — no harm / dark patterns	✅	Minors involved → strict: parent-consent gating, no public gallery by default, deletable footage. Handle carefully but no inherent harm.
Market exists (evidence above)	✅	Active $150–$500/reel human market with 2–4 week backlogs.
1–5 person team can build this	✅	Medium; ~3–4 months to single-sport v1.
Launchable with <$50K / ₹40L	✅	Inference + web stack; no hardware, no capex.

All five pass.

12. Feasibility score

Axis	Weight	Score	Notes
Problem intensity	20	15/20	Real, repeated, wallet-out pain — but seasonal/episodic, not daily hair-on-fire. Emotionally charged (my kid’s future).
Demand evidence	15	12/15	Strong: multiple human services charging $150–$500, 2–4 wk backlogs, incumbents admit the gap in writing. Docked for thin verbatim parent quotes surfaced.
Build feasibility	15	10/15	Jersey tracking on amateur footage is the genuine risk; everything else off-the-shelf.
Distribution clarity	15	12/15	Club-director channel + recruiting FB groups + tournament pop-ups are concrete and warm; conversion unproven.
Revenue mechanics	15	12/15	Undercuts a proven $150–$500 market at software margin; ACV modest but repeatable across a multi-year recruiting window.
Time to first revenue	10	8/10	Parents pay same week; impulse price point. Needs the tracking to work first.
Defensibility	10	5/10	Execution + platform-agnostic + coach-format lock-in; but Veo Player Spotlight is adjacent and well-funded. Copyable at month 12.
Total	100	74/100

13. Qualitative modifiers

Founder-fit tags

technical-heavy (the CV/tracking accuracy is the whole moat) · content-heavy (before/after demo content is the distribution engine).

Key assumptions to validate (3–5)

1. Assumption: Jersey-number tracking hits usable accuracy on typical amateur Veo/Hudl/iPhone footage. How to test: Run the pipeline on 30 real donated game files across lighting/angles; measure % of the target player’s touches correctly found + circled. Need >80% before charging.
2. Assumption: Parents will self-serve at $19–$99 rather than pay $300 for a human. How to test: Landing page + Stripe against 3 recruiting Facebook groups; measure paid conversions on 100 uploads.
3. Assumption: Club directors will forward a free-reel link to their parent lists. How to test: Pitch 25 club directors; need ≥5 to actually share.
4. Assumption: The coach-format output (circle, intro card, 3–5 min) is what coaches actually want. How to test: Show 10 real college coaches a ReelPull reel vs. a raw Veo export; ask which they’d watch.

Risk flags

1. Platform dependency / incumbent squeeze: Veo Player Spotlight could ship a parent-facing, camera-agnostic recruiting export and erase the wedge. Mitigate by owning the cross-platform, coach-format layer they won’t (they sell cameras).
2. Minors + footage: kids in video = privacy, consent, and safety obligations. Get consent gating and deletion right from day one or it’s a reputational landmine.
3. Accuracy ceiling: if tracking can’t clear ~80% on bad footage, the product is a toy and refunds spike. This is the single kill risk.
4. Seasonality: recruiting demand spikes junior year and around showcase seasons; revenue is lumpy, not smooth SaaS.

14. Structured verdict

Score:                  74/100
Verdict:                GO
Confidence:             Medium
Best-fit builder:       Technical founder comfortable with video/CV, paired with a content marketer who lives in youth-sports-parent communities
Time to revenue:        8–12 weeks (once tracking clears the accuracy bar)
Capital to launch:      $8–15K ($ mostly inference + a few months runway)
Top 3 assumptions to validate first:
  1. Jersey tracking >80% accurate on 30 donated amateur game files
  2. Parents convert at $19–$99 self-serve (100 uploads via 3 FB groups)
  3. ≥5 of 25 club directors forward the free-reel link
Kill criteria:
  - Abandon if tracking accuracy stays <80% on real amateur footage after 8 weeks of tuning
  - Abandon if <2% of 100 landing-page uploads convert to paid
  - Abandon if Veo/Hudl ship a camera-agnostic, parent-facing recruiting export before v1

15. Next step — 1-week validation sprint

• Day 1–2: Collect 30 real amateur game files (donated via recruiting FB groups: “send me your kid’s game, I’ll make a free reel”). This simultaneously tests footage-access AND builds a test set.
• Day 3–4: Run the tracking + event-detection pipeline on all 30. Measure: % of the target player’s key moments correctly found and circled. This is the falsifiable core.
• Day 5: Put up a landing page with the 3 best before/after reels and a Stripe button; post in 2 recruiting groups. Go/no-go: ≥80% tracking accuracy on the test set AND ≥3 paid conversions (or 20+ waitlist signups) from the posts. Anything less → the tech isn’t ready or the parents won’t self-serve, and I walk.