Sep 14, 2017 · 19m · top-founders
782: Crypto: With $50k MRR, He's Buildling Crypto Database To Track Accuracy
gold bands on the timeline = statements, start to end. Hover to read, click to jump. CC turns on captions
In this episode of The Top, host Nathan Latka interviews BigchainDB founder and CEO Bruce Pon, examining how the company provides a scalable, decentralized database layer for enterprise data provenance while scaling past $50,000 in monthly recurring revenue.
How this conversation actually went
Every chapter scored 0–10 on four independent dynamics. Hover any point for the reasoning behind the score. Nathan holds 47.7% of the talking time here. How this is scored →
speaking balance: gold is Nathan, purple is the guest (3 minute bins)
When Nathan asks whether apparel supply chain claims are just marketing nonsense, Bruce directly defends the integrity of cryptographic signing and auditing across multiple supply chain steps.
Hardest push from Nathan ▶ 8:17 Pressing for specific customer pricing tiersNathan refuses vague answers about enterprise support tiers and directly pushes Bruce to specify exact monthly pricing figures.
Biggest teaching moment ▶ 5:08 Explaining blockchain limitations via vehicle analogyBruce educates Nathan on why neither Bitcoin nor Ethereum can support heavy metadata storage, framing them as sports cars unfit for freight transport.
Nathan holds their own ▶ 13:06 Reconciling MRR figures with client headcountsNathan demonstrates financial fluency by calculating average customer spend and reconciling Bruce's $50-60k MRR claims against his active client count.
the scores for every segment, with the reasoning behind each
| Chapter | Topic | Nathan as informed peer | Guest teaching | Guest disagreement | Nathan pushing back | Why |
|---|---|---|---|---|---|---|
| Promotional Announcement: GetLatka Database Platform | 3 | 5 | 1 | 1 | Nathan introduces Bruce and references prominent crypto figures before asking how BigchainDB fits into the ecosystem. Bruce provides an educational overview explaining that while Bitcoin manages payments and Ethereum manages business logic, BigchainDB handles data-driven blockchain use cases. | |
| Lessons from Ascribe.io and the Vehicle Analogy | 3 | 5 | 1 | 2 | Bruce explains the origins of Ascribe and why existing blockchains failed to store creative metadata, using an analogy of using a Lamborghini to move a house. Nathan probes for specifics on why Ethereum was insufficient and gathers team and funding details. | |
| Business Model, Pricing Architecture, and Support Tiers | 5 | 3 | 1 | 4 | Nathan presses Bruce on the pricing structure and typical monthly fee per customer. Bruce outlines their open source and premium enterprise support model, explaining why usage-based per-transaction pricing felt extractive. | |
| Eliminating Enterprise Back-Office Reconciliation Waste | 4 | 4 | 2 | 4 | Bruce explains how single source of truth blockchains eliminate back-office reconciliation in supply chains. Nathan pushes back with skepticism, asking how physical labels prevent companies from marketing false claims, which Bruce addresses with cryptographic auditing. | |
| Key Growth Metrics and Developer Ecosystem Funnel | 4 | 4 | 0 | 3 | Nathan breaks down Bruce's MRR figures against his customer count and asks for clarification on developer ecosystem metrics such as software clones and white paper downloads. | |
| Sponsor Segment: Acquisition of The Top Inbox | 3 | 1 | 1 | 3 | During the Famous Five segment, Nathan pushes Bruce to name specific titles and reject generic answers like Elon Musk in favor of crypto leaders, while also sharing a Charlie Munger anecdote. | |
| Episode Summary and Previous Guest Teaser | 0 | 0 | 0 | 0 | Solo host outro summarizing BigchainDB's core metrics, funding, and team size, followed by a teaser for the next episode. |