Slide 2 (What is foursquare?) functions as a compact positioning statement that immediately establishes the product as a hybrid: friend-finder, social city guide, and social game. The language is simple and benefit-focused — it tells users what the app does and tells brands how it could serve them. For investors, this kind of clarity reduces cognitive load and frames every subsequent slide against a clear value proposition.

Founders can learn from the discipline here: open with a one-line synthesis that communicates who the product is for, what it does, and why it matters to two audiences (users and brands). This slide also hints at the multi-channel product strategy (website, iPhone app, SMS, API) which signals technical breadth without getting bogged down in engineering detail.

Slide 3 demonstrates the core interaction: check-ins and a near-real-time feed of where friends are. The screenshot plus a short paragraph showing the dodgeball-inspired premise ('tell us where you are and we'll tell you who's nearby') makes the immediate value palpable — users open the app and get actionable social information. Showing the live feed gives investors a feel for habitual usage and retention drivers (knowing where friends are creates recurring utility).

This slide is effective because it pairs product UI with a simple behavioral hook. Founders should mimic this: show a real UI screenshot that illustrates the simplest moment of value (what the user sees and does in the first 10 seconds) and explain the behavioral logic that drives repeat use.

Slide 4 expands the narrative from friend-finding to discovery — how check-ins become context-aware venue suggestions and social signals ('me', 'f', 'tip'). This is where the product shifts from pure social utility to content and discovery, an important expansion of use cases that increases user engagement and session length. The slide explains predictive features (‘Nearby Favorites’) which hints at personalization and data-driven recommendations.

Founders should note how the deck layers features: after showing the core hook, it explains complementary features that broaden use and create defensibility (personalization, social proof). Explaining how signals are surfaced (past behavior, friends' visits, public tips) helps investors see pathways to differentiated product experiences.

Slide 5 (Checkins Earn Points) and Slide 6 (merchant tweets about mayors) illustrate how gamification and social status drive behavior and create local incentives. The deck lists concrete point values for behaviors and describes the mayor mechanic — a simple, visible status that users compete for. Slide 6 provides immediate social proof that merchants were already rewarding mayors, turning a product mechanic into offline value for users.

These slides are compelling because they combine product mechanics with evidence of ecosystem adoption: merchants are already using mayorships as promotional hooks. Founders should emulate this by designing simple, measurable reward mechanics and showing any early third-party adoption that validates the mechanism beyond the app itself.

Slide 7 (Leaderboard) highlights competitive elements and social comparators — weekly leaderboards, badges, and top-scorer incentives. The slide shows both compact and full leaderboard UIs, which implies thoughtfulness about social visibility and virality (people share scores, brag, invite friends). Leaderboards and weekly competitions give users reasons to keep checking in and maintain activity rhythms.

For founders, this is a lesson in designing for social proof and repeat engagement: gamified leaderboards create recurring events (weekly competitions) and discrete goals that keep users returning. When possible, include UI examples that show how social comparisons are surfaced and how they encourage network-driven growth.

Slide 11 lays out the primary revenue hypothesis: converting ephemeral check-in intent into measurable leads for local businesses. It argues that by combining 'what's nearby' utility with reward mechanics, Foursquare can offer advertisers tight response metrics (e.g., shown an offer and X% responded). This positions the product as an advertising and local-commerce channel rather than a pure social network ad play.

This is a strong example of aligning monetization with core product behavior. Founders should align revenue with an action that users already take (in this case, check-ins) and propose measurable KPIs that matter to advertisers (impressions => responses within a timeframe). That alignment makes the revenue path credible rather than speculative.

Slide 13 drills into incremental revenue streams: sponsored badges, redeemable points, and targeted banner placements. Each concept maps to product behaviors — badges for visits, points for collections, banners for targeted times/locations — and suggests potential sponsor relationships (brands, local businesses). The slide shows an early understanding of productized ad units that respect user behavior while offering measurable outcomes for sponsors.

Founders should take from this the importance of multiple, complementary monetization experiments that fit naturally into the product experience. Present several non-invasive, testable revenue ideas with examples of how they'd be tied to product events and measurement. This reduces risk and gives a roadmap for early partnerships and A/B tests.