Darrell Etherington

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Darrell Etherington

Darrell Etherington

@etherington

VP @SBS_Comms, ex-OMERS Venture, ex-Managing Editor at TechCrunch. Writer of @theangle, host of @originalcontentpodcast

Toronto, ON Katılım Temmuz 2008
1.6K Takip Edilen25K Takipçiler
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molly taft
molly taft@mollytaft·
lots of corporate press / comms people asking me to share drafts of stories before publication (??) these days. baby that is not how it has ever worked
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SBS Comms
SBS Comms@sbs_comms·
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matt rothenberg
matt rothenberg@mattrothenberg·
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Cursor
Cursor@cursor_ai·
Introducing Composer 2.5, our most powerful model yet. It's more intelligent, better at sustained work on long-running tasks, and more reliable at following complex instructions. For the next week, we’re doubling the included usage of the model.
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Matthew Prince 🌥
Matthew Prince 🌥@eastdakota·
Tobi puts this better than I’ve ever been able to.
Startup Archive@StartupArchive_

Shopify CEO Tobi Lutke explains Goodhart’s law and why he doesn’t like KPIs or OKRs “Goodhart’s law is real. The moment a metric becomes a goal, it’s no longer a useful metric… No metric by itself is a complete heuristic for a complex business. There’s a million different tensions in a company, and you can’t keep all of them in harmony by optimizing for one thing.” For this reason, Shopify doesn’t use KPIs or OKRs. But as Tobi explains, this doesn’t mean they don’t value data and metrics. “We are extremely data informed. We have invested enormous amounts of money and time into systems that give us basically everything at our fingertips… But what Shopify attempts to do is just not over-fit for what’s quantifiable.” People love optimizing for highly-quantifiable things because there’s immediate gratification that comes from seeing a number go up. But Tobi thinks that the most important aspects of a product are rarely quantifiable: “The overlap of the most valuable things you can do with a product and the things that happen to be fully quantifiable are like maybe 20%. Which leaves 80% of a value space unaddressable by the people who only look at quantifiable things.” He continues: “Shopify is comfortable with unquantifiable things like taste, quality, passion, love, hate… The sort of deep satisfaction that a craftsperson feels when they’ve done a job well is actually a better proxy if you allow it to be.” They then have robust analytics systems that tell the company if something’s wrong or a new rollout breaks something. “We think about it as a cockpit for a pilot. The decisions are still made by pilots, and we think this leads to better results… I think there needs to be more acceptance in business of unquantifiable things… And then metrics take a support function.” Source: @lennysan (Feb 2025)

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Josh Constine 📶🔥
Josh Constine 📶🔥@JoshConstine·
There’s one central rule of storytelling so many founders forget: It’s not about what you want to say, what drives business, or what was hard to build. It’s only about what the audience finds profound, useful, or entertaining. That’s earns you the right to say anything else.
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Gerrit De Vynck 🦭
Gerrit De Vynck 🦭@GerritD·
my dumb ass happened to wear orange to the Claude dev day
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Darrell Etherington@etherington·
@alex How often do companies use "Crushing" wrt expectations in their own earnings release??
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Robleh
Robleh@robjama·
new experiment: ai labs in Toronto. you bring one real problem from your work. we match you 1:1 with an expert. 3 hours later you walk out with it solved. think genius bar meets university lab class. we picked a Saturday because the people who need ai most have the least time to learn it. this is the version that actually fits in your life. it's free, only 20 spots for May 9th. fill out your pre-lab to apply - link in the next tweet
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Ejaaz
Ejaaz@cryptopunk7213·
this is huge news from Cursor, they've pulled of the impossible and turned their ai-wrapper into a in-destructible moat sam altman literally called it <24hrs ago and here we are: > cursor's ai agent harness is available for anyone to build on, which means ai models are now a commodity > 1-time install and now anyone can run cursor's agent locally or via cloud. use any model (e.g. gpt 5.5) but with the added cursor harness that makes it 10X better. > its so good that 3 of cursors biggest competitors are embedding it into their products. > now cursor DOESN'T DEPEND on anthropic or openai. their own model (composer 2) competes directly! yesterday sam altman said the ai model and harness are one and the same and today cursor turned their harness into a self-owned moat fucking masterclass (coming from a former cursor / ai wrapper hater)
Cursor@cursor_ai

We’re introducing the Cursor SDK so you can build agents with the same runtime, harness, and models that power Cursor. Run agents from CI/CD pipelines, create automations for end-to-end workflows, or embed agents directly inside your products.

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Joanna Stern
Joanna Stern@JoannaStern·
It wasn't all love though. It also broke my toe. All this and more in our latest YouTube video youtube.com/watch?v=ucy9VT…
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Eric Glyman
Eric Glyman@eglyman·
the loud AI story is models replacing creative work. the quiet one is the drudgery of the back office evaporating — agents running procurement, AP, and renewals at 2am for three cents. the second one is bigger.
Ramp@tryramp

98% of companies don't have a procurement team. The ones that do are stretched thin. Today, they all get backup. Introducing a suite of AI agents to run your entire purchasing process, saving you 46 hours of manual work per month and 16% on yearly vendor spend.

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Ramp Labs
Ramp Labs@RampLabs·
At Ramp, we've seen AI token spend skyrocket 13x among our customers since last January. We ran experiments where coding agents managed their own token budgets. They ignored them completely, so we employed a separate controller model to approve spend on their behalf.
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