Aug 8, 2023 · 15m · top-founders
How Hirize Hit $14k MRR in 60 Days
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In this episode of Conversations with Nathan Latka, Hirize founder Ezra Kagan discusses how her startup achieved $14,000 in monthly recurring revenue in 60 days by replacing outdated keyword-based resume parsers with modern AI infrastructure. She details the company's pre-seed fundraising, lean team structure in Istanbul, beta conversion funnel, and upcoming $2 million seed round.
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 37.1% of the talking time here. How this is scored →
speaking balance: gold is Nathan, purple is the guest (3 minute bins)
When Nathan doubts whether she can raise $2M on a $20M valuation with early revenue, Ezra assertively insists that she can.
Hardest push from Nathan ▶ 10:47 Challenging beta pricing disciplineNathan presses Ezra on whether she secured commercial price commitments from beta users prior to release or waited until after launch.
Biggest teaching moment ▶ 3:44 Exposing industry resume parsing failure ratesEzra explains to Nathan how legacy market leader Sovereign drops roughly 30% of candidate resumes simply due to non-Word or PDF formatting issues.
Nathan holds their own ▶ 11:13 Drilling into SaaS activation telemetryNathan demonstrates SaaS expertise by breaking down exact analytical metrics—like daily API calls and onboarded seats—used to predict beta customer conversion.
the scores for every segment, with the reasoning behind each
| Chapter | Topic | Nathan as informed peer | Guest teaching | Guest disagreement | Nathan pushing back | Why |
|---|---|---|---|---|---|---|
| Episode Preview: Hirize's Rapid Growth and Funding | 5 | 5 | 1 | 1 | Nathan frames Hirize's enterprise value proposition connecting into stacks like Oracle and SAP. Ezra explains how legacy AI in HR tech was simply keyword matching and why modern parsing APIs are fundamentally different. | |
| Analyzing Legacy Competitors and Resume Parsing Flaws | 4 | 6 | 2 | 2 | Ezra educates Nathan on legacy market leader Sovereign's technical flaws, explaining that 30% of applicants are silently dropped due to unreadable file formats. Nathan playfully identifies her tough negotiation style regarding equity. | |
| Pre-Seed Fundraising and Leveraging Founder Track Record | 6 | 4 | 1 | 2 | Nathan analyzes the favorable dilution of raising $1M on a $10M cap SAFE during the 2022 market contraction. Ezra explains leveraging her VC background and founder pedigree before the broader generative AI wave hit. | |
| Capital Runway, Team Structure, and Upcoming Seed Fundraising | 6 | 3 | 2 | 4 | Nathan drills into Hirize's remaining cash runway and pushes back on whether Ezra can realistically achieve a $20M seed valuation on $14k MRR. Ezra defends her pricing power and notes development cost efficiencies in Turkey. | |
| Beta Conversion Strategy and Enterprise Sales Funnel | 7 | 4 | 2 | 4 | Nathan probes how Ezra structured beta conversions, asking whether pricing was locked beforehand and which activation metrics they tracked. Ezra openly admits she should have set pricing before the beta ended and breaks down vanity signups versus ICP users. | |
| The Famous Five Rapid-Fire Questions | 1 | 1 | 0 | 0 | Nathan runs through standard rapid-fire questions regarding Ezra's book, favorite tools, and daily habits in a relaxed wrap-up. |