David Silberman

The through-line

Silberman's whole argument starts from a supply puzzle rather than a demand one. Ping pong players in cities were choosing between "large scale venues with liquor and boot and restaurants" and "lower end kind of Dojo style underground pingpong clubs," with nothing in between that was accessible, convenient and affordable [1][2]. His reading is that the gap existed for economic reasons, not because nobody wanted to play: "the reason why there are very few or were uh low Supply was not because there's low demand there's plenty of demand and we've proven that at this point it's that people struggle entrepreneur struggle to make the economics work right rent is super high and labor is even a higher cost item if you look at a restaurant or many retail operations" [1]. Everything else follows from that diagnosis. Technology is not the point of the business, it is the thing that removes the cost line that made the business impossible, and once removed, the same technology becomes a product in its own right.

The shift over time is from operating concept to platform. What began as an epiphany about a single table in an empty East Village storefront became twenty locations, a patent-pending replay system, and a technology stack he frames as applicable well beyond table tennis: the autonomous model is "the economic or the technology key to unlocking the demand side of pingpong but also lots of other recreational verticals" [1].

On the epiphany and why small format

The origin was literal and spatial. Walking through the East Village in 2019 while working in finance, he saw lease signs on "perfect little rectangles" and pictured what could fill them: "I envisioned a table in one of these spaces a single table with two friends playing and blasting music and having the time of their lives and I thought to myself I can do this and I can use technology to make it so that I don't have to be there all day right twiddling my thumbs checking people in" [1]. The strategic choice embedded in that image was to reject the large club: "rather than thinking about opening a 30 or 40 table Club I figured what if we could break these into smaller format units with two to four or five tables per unit and put them all over New York City or an urban area to make it extremely accessible" [1]. He reaches for a retail analogy to explain the density logic, "sort of like how Starbucks or Subway has the advantage of having lots of locations so you don't have to travel very far to get to any one of them," and notes that this format only works if it is technology-infused [1]. His personal read on the demand was that he was his own customer, a lifelong hobbyist who never played competitively and knew there were many others who grew up with a table in a suburban basement and then moved to a city with nowhere to play [1][2].

On running with no employees on site

He is precise that the first move was operational rather than technical. Asked whether his mind went straight to labour arbitrage and replays, he says it went "first to the kind of not so techy but just core operating model of can this be safe is this viable," at a time when he knew of no other autonomous recreation concept with literally no employees on site during the day [1]. The stack that made it work was deliberately unremarkable: "security cameras a monitoring team Access Control Hardware API integrated into the reservation system itself so that the door is always locked on default and the only way to access the space is if you have a reservation so none of that was you know groundbreaking in terms of Technology" [1]. The security platform they integrated, kec, had good API documentation, and a founding engineer plugged it into the reservation system. He describes the moment it worked as the real milestone: "clicking the button for the first time and hearing the door unlock and that this was that was a big step" [1]. Everything at that stage was hacked together as cheaply as possible on friends-and-family money [1].

On real estate

Site selection is treated as a set of hard physical constraints plus opportunism about price. They knew they needed specific dimensional criteria, ceiling heights, no columns, and wanted "a corner location with floor to ceiling Windows to be extremely visible from the street" [1]. The first space that met all of it at the right price was in the Lower East Side on the Chinatown border, and only after finding it did they check the neighbourhood logic, concluding the young demographic and vibrancy of the area supported the concept [1]. He has also worked through the question of whether to own or lease locations, revisiting an earlier growth strategy conversation with the benefit of real-time operating data on the rent versus buy decision [3].

On COVID as a stress test of the model

The first location opened a few months before the pandemic and was shut immediately with everyone else, but he claims the autonomous model let them come back unusually early: "we were one of the first non-essential businesses to reopen in Manhattan as a result of our autonomous operating model," on the reasoning that much of the regulation was written around employees, and there were none on site [1]. They took counsel from attorneys, added COVID language to the terms of service every customer signs when reserving, complied with mask rules, and reopened floor by floor without waiting for permission [1]. The more interesting consequence was data. Because every entrant had to reserve through the web or mobile app, they held everyone's details digitally and built their own tracing system: with one click, once a customer reported a positive test, they could identify direct, second and third degree contacts and alert them, something he describes as only possible for a digital-first company and as a differentiator that "made our community feel safe" [1].

On letting customers design the product

Instant replay was not a founder's idea. Customers were arriving with tripods and filming entire ninety-minute sessions, some to study technique, others to "mine for the Nuggets of the amazing rallies," and then the security team and the founders themselves ended up cutting security footage by hand for customers "willing to pay all sorts of money to see themselves" [1]. He treats the conclusion as forced rather than clever: "it wasn't um rocket science that we needed to build this uh fully integrated on demand product for our community it really just was was an obvious thing but it was not easy to build" [1]. The finished version is user-triggered, an iPad mounted beside every table, one button, high definition video processed instantly to the customer's email and account profile, with projection to TV monitors next to each table coming [1]. What is protected is not ping pong specific: "what is specific about the system we invented is that it's user triggered like a DIY replay," and that plus the instantaneousness and robustness is the differentiator, held as patent-pending intellectual property [1].

On reliability as the real engineering achievement

He is unsentimental about where the difficulty sits. The replay product is "a concert of uh a technology stack of vendors and systems and data management," and the accomplishment he singles out is getting to "99.99 plus percent robustness or Effectiveness so you're not getting defective replays and it's not a huge load on our customer service team" [1]. Across twenty locations averaging four tables each, most open 24/7, that reliability bar is what keeps a feature from becoming a support cost [1].

On pricing software inside a physical business

Replays are 50 cents each, with the first five free for new customers, and he is explicit that the price exists partly as a rate limiter, "to avoid people spamming the replay and just clicking it over and over and over again" [1]. Even so they process tens of thousands, which makes the line material without being load-bearing: "that Revenue stream is material it's not um what we rely on for our profits but it it adds up" [1]. The margin is the point, and he pushes back on the assumption that video means heavy infrastructure cost: "software scales right so you'd be surprised it's actually it's a very um low cost very high gross margin product it's like 99 cents on the dollar um goes to goes to us" [1]. An Easy Pass style credit model with volume discounts on prepaid balances is rolling out [1].

On scorekeeping, ratings and where the data goes next

The second innovation is scoreboard tracking: Bluetooth flick buttons fixed under each side of the table, configured on the iPad at the start of a game, with points projected to the iPad and the TV monitor. He is careful not to oversell it as automation, "it's not like AI technology watching the games and keeping score for you," the point click is manual and everything after it is automated [1]. The value he claims is a cleaner game, since the display resolves the two perennial arguments about who is serving and what the score is [1]. The forward-looking version is about ratings: storing the score data and letting players push results straight to an association, usat in table tennis or duper in pickleball, so that "having the ability to instantly upload those scores to an association and get your rating adjusted in real time is potentially a big game Cher" [1].

On community and user-generated content as the marketing engine

The replay archive doubles as a distribution channel. They compile a top ten monthly highlight reel from the best replays and push it across social media, and players compete to be included, which turns the feature into "marketing gold for Ping pod um and for our podplay clients" [1]. He treats the enthusiasm as durable rather than novelty-driven: it "blows you know our our community away to this day it hasn't you know gotten old it's everyone has exciting points and everyone wants to capture those those points" [1]. Underneath the gamification is a broader mission he frames as activating neighbourhoods through technology and providing safe, fun places to play, aimed at beginners and experts alike, with New York as the starting point for elevating table tennis in the U.S. [4].

On credit, co-founders and the difference between an idea and a product

He conceived the concept alone and refuses to let that stand as authorship of the company: "there's a very big difference between conceiving of something and inventing something so everyone who I mentioned are all co-founders because we manifested this product and service together" [1]. He names Max kogler, who he credits with the hardware, software and API integration knowledge and who is CEO, Ernesto, CTO Elia riffkin, who previously ran the mobile teams behind the Nike plus and Equinox apps, and Ben Borton, an original investor and customer who came on as a co-founder of the podplay business [1]. The replays and scoreboard tracking were layered in after the initial model, and he attributes them to that group rather than to the founding idea [1].

On raising capital only after proving the model

The funding story is sequenced deliberately. Friends and family money paid for the first hacked-together build [1]. Venture capital came after evidence, not before it: "we had proven unit economic success product Market fit and we had raised a couple a few million dollars at that point already and some Venture cap Capital investors were prepared to uh see this thing all the way through and to make a big bet on pingpod" [1]. He is comfortable that the surface description sounds absurd, "pingpong shop is kind of what it is but it's a lot more than than a shop," and reframes it as a technology-infused facility gamifying a sport that is 150 years old and had not been innovated on in a very long time [1]. The result is twenty locations worldwide spanning ping pong and billiards [1], a scale story he has also told through the franchising lens [4], and a business whose core claim is that hobby-scale passion can be turned into a high-margin operation once the labour line is engineered out [2].

Takeaways

• The binding constraint on recreational venues is not demand but cost structure: "rent is super high and labor is even a higher cost item," so removing on-site staff is what unlocks latent demand [1].
• Start with the operating question, not the technology: the first thing he tested was "can this be safe is this viable," and the enabling stack was ordinary cameras, access control and an API-integrated reservation system, not novel engineering [1].
• Density beats scale in urban recreation: small units of two to five tables spread across a city, on the logic that Starbucks or Subway win by being close, rather than one 30 to 40 table club [1].
• Build the features customers are already hacking together themselves: replay existed because players brought tripods and paid staff to cut security footage by hand [1].
• Digital-first reservations produce operational optionality nobody planned for, including one-click contact tracing to second and third degree contacts during COVID [1].
• Price a software add-on partly to shape behaviour: 50 cents per replay exists to stop spamming, yet still yields material revenue at roughly 99 cents on the dollar gross margin [1].
• Protect the mechanism, not the sport: the patent-pending element is user-triggered DIY instant replay, which is not ping pong specific [1].
• Raise venture money after unit economics and product-market fit are demonstrable, having bridged the build phase on friends-and-family capital [1].