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The weekly top 10 for B2B tech operators · Every Friday

Top 10 in Tech - What to know for Week ending June 13 2025

Friday 09:00 NZT Curated by Jon Davies
Top 10 in Tech - What to know for Week ending June 13, 2025

SaaS METRIC OF THE WEEK

Here is a new one - The Customer Success Ratio. Calculate this as CSM expense ÷ Net New ARR from Existing Customers. Track it to see if your post-sale team drives growth or burns margin. Rule of thumb: keep it \<10%.

AI

Bond Capital's monster 340-slide AI report is a goldmine: ChatGPT scaled 20x faster than the internet (p. 20), 73% say AI sounds human (p. 26), inference costs down 99% (p. 40), agent apps surging (p. 93), revenue scaling fast (p. 102), 70% of GenAI users seeing productivity gains (p. 109).

UNICORN

The 30-year unicorn backlog may finally be moving (this is referencing the 700+ unicorns stuck in private markets). Q2 saw 20 unicorn exits (vs. six last year), led by AI, cyber & health. Wiz's $32B buyout, CoreWeave IPO & more signal some kinda thaw—but with 700+ unicorns still waiting, this logjam may take some time.

VENTURE

VCs seem to be funding two things: AI & SaaS—but in very different ways. AI receives massive rounds, but even pre-revenue SaaS companies must show traction and efficiency. AI = 'fund the vision,' SaaS = 'fund metrics.' Same VCs, two mindsets.

PRODUCTIVITY

I've been having lots of productivity talks over the past few weeks, and this is a great article that validates a lot of the discussions (and, tbh, gave me a few hard truths to act on). It's targeted at engineers, but the 15 productivity hacks here apply to any knowledge worker IMO. High-signal, no fluff.

MARKETING

Here is a GitHub treasure trove: Marketing for Founders. Crowdsourced, no-nonsense advice across positioning, pricing, SEO & more. A really practical resource worth bookmarking for revisits.

MOATS (AI)

Clouded Judgement dives into what modern SaaS moats in the modern AI world look like: Speed isn't just important; it is the moat. As well as scale, network effects, brand, and distribution. But because AI compresses product moats, this all matters more than ever. (also read the rest of that post - tons of nuggets always in there - benchmarks on multiples, revenues, gross margin, etc., etc.)

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