# Top 10 in Tech - What to know for Week ending February 27, 2026

Published: 27 February 2026
Canonical: https://www.top10in.tech/posts/week-ending-february-27-2026

## 1. SaaS METRIC OF THE WEEK

What KPIs do venture firms consistently care about across stages? [This article highlights how KPIs evolve from early traction metrics like CAC and LTV to more advanced indicators like NRR, as companies scale](https://www.aumni.fund/blog/kpis-across-stages) and shift from survival metrics like cash runway to operational efficiencies.

Link: https://www.aumni.fund/blog/kpis-across-stages

## 2. R&D

Research and Development is a major component of any competent Software startup, and often public R&D incentives (via Grants, Tax breaks, or deductions) align well with the difficult early and growth phases. So how do you measure if your R&D spend is actually paying off? [Mostly Metrics breaks down key efficiency metrics](https://www.mostlymetrics.com/p/how-to-measure-r-and-d-efficiency)—like R&D as a % of revenue, time-to-market impact, and capitalized vs. expensed costs—to help SaaS leaders optimize innovation investments.

Link: https://www.mostlymetrics.com/p/how-to-measure-r-and-d-efficiency

## 3. CORE 4

Adding onto #2 above is a new framework for your tech dictionaries, [Core 4](https://www.lennysnewsletter.com/p/introducing-core-4-the-best-way-to). It's a pretty powerful (but simple) way to prioritize R&D investments. Instead of spreading resources thin, focus on four core product bets that drive real impact.

Link: https://www.lennysnewsletter.com/p/introducing-core-4-the-best-way-to

## 4. FACILITATE

A super fun and VERY bookmark-able resource this week. It's [a library of tools available to facilitate your next session with people or a team](https://www.sessionlab.com/library) - team building, brainstorming, ice-breakers, check-ins. They are all there!

Link: https://www.sessionlab.com/library

## 5. AGENT RUNTIME

Models are designed as commodities, easy to flip in and out - god knows, I do it all the time. But a more interesting development coming up looks to be that [defensible moats are shifting to the runtime layer](https://www.work-bench.com/post/the-rise-of-the-agent-runtime) - which means orchestration, memory (suck it ChatGPT), guardrails, observability, and cost control.

Link: https://www.work-bench.com/post/the-rise-of-the-agent-runtime

## 6. QUALITY

I run a business that focuses on high fidelity of data. And [I agree with this article](https://hackernoon.com/why-data-quality-is-becoming-a-core-developer-experience-metric) - Developer experience isn't just tooling - it's data predictability. In API-first systems, structurally valid but operationally useless data creates all kinda problems, downstream bugs, defensive coding, and release fear. The better way - treat real-time data validation as core, enforce quality at ingestion, and reduce cognitive load across micro-services.

Link: https://hackernoon.com/why-data-quality-is-becoming-a-core-developer-experience-metric

## 7. CLAW

New one for your tech dictionaries. [OpenClaw creator Peter Steinberger](https://techcrunch.com/2026/02/15/openclaw-creator-peter-steinberger-joins-openai/) just joined OpenAI. ["Claws" are persistent AI agents](https://mashable.com/article/what-are-claws-ai-clawdbot-openclaw) that monitor data sources and trigger actions autonomously - less chatbot, more background operator or MicroServices to the bigger Agentic Apps like ChatGPT and Claude. But they can act without being prompted.

Link: https://techcrunch.com/2026/02/15/openclaw-creator-peter-steinberger-joins-openai/

## 8. ENGINEERING

A bunch of devs got together recently for [some workshops and summits](https://newsletter.pragmaticengineer.com/p/the-future-of-software-engineering-with-ai). Consensus was that the AI shift feels faster than any prior change in 50+ years, and ~92% of teams use AI coding tools monthly; teams are shrinking from 6-10 people to 3-4. Discussions now cover how teams actually win with AI, refactoring and Agile practices in the AI era, and also the crisis mid-career engineers face if they don't upskill (hell - I think we all feel it). Big takeaway is that healthy orgs see 50% fewer incidents while dysfunctional ones are just getting dysfunctional faster.

Link: https://newsletter.pragmaticengineer.com/p/the-future-of-software-engineering-with-ai

## 9. EMAIL

Interesting fact - [AI-native products are seeing 75–90% of signups come from personal emails](https://www.growthunhinged.com/p/the-personal-email-opportunity)- bolt.new is at 98%! Kyle Poyar makes the case that these aren't junk anymore: enrich and de-anonymize them, and they become a pipeline source. bolt.new unlocked $1.7M in B2B pipeline in the first four weeks, doing exactly that, with 23% of their B2B pipeline now sourced from personal email users.

Link: https://www.growthunhinged.com/p/the-personal-email-opportunity

## 10. CASE STUDY

Check out the [pitch deck Anthropic used](https://www.thevccorner.com/p/anthropic-2022-pitch-deck-leaked) before raising their $580M Series B. 10 slides. No product. Barely 4 years later, it is now worth $380B.

Link: https://www.thevccorner.com/p/anthropic-2022-pitch-deck-leaked

## POD OF THE WEEK

Big follow from #8 above**, [Boris Cherny is the creator and head of Claude Code](https://www.youtube.com/watch?v=We7BZVKbCVw)** at Anthropic - AI agents have already taken over his workflow - 100% of his code is AI-written - and why he thinks coding itself is becoming a solved problem. He argues the next shift isn't writing code, but deciding what to build as agents evolve. See what what 200% productivity gains actually look like in practice!

Link: https://www.youtube.com/watch?v=We7BZVKbCVw