Chris Halaska

@frisohakkers poor. second macbook?

what’s it called when your macbook is below 6% and can’t function until it charges above again?

Clients wanting ‘good’ are doing things themselves instead of engaging ‘race to the bottom’ subscription agencies. Clients wanting ‘great’ are expecting ‘amazing’ in less time. AI is enabling us to achieve this.

I think there will be less work for agencies as a whole, but the ones that do land will expect more output (which is fine, because we can easily match those expectations now). There will always be the clients who want to go cheaper and faster, which is where the race to the bottom agencies will have to fight it out OR be obsolete by the clients ‘good enough’ AI executions. Clients who value design and are willing to pay for great will still be there, only this time great is more like ‘amazing’ thanks to AI

@chalaska What’s your market feeling? I've seen many clients moving away from the traditional process. It seems a point without return.

Can we officially say that the hype around design subscription services is dead?

@stephenhaney @darylginn

we're opening two new senior roles in design and engineering at Paper details inside Vlad's article

@timothyachumba nice color palette of things

Some small quality of life improvements made to the home office while we finalise the larger design updates…

@nevaaron keep at it lad!

You can see me almost quit -- don't.

If you’re looking for a design engineer, @darylginn will go fast so jump on it!

@darylginn Admire the move! I’m sure you’ll get picked up quickly

Some news. I’m changing career paths. I’ve spent 20+ years mostly freelancing both design and development. My passion for services is no longer there anymore. I’m now actively seeking remote design engineering roles. I’ve come to the point in my life where I want to go all in and have a strong impact on an individual company. Whether it’s a more established startup or an earlier stage one. I’m excited to work collectivity as a team on something worthwhile and I feel I can add a lot of value. DMs are open.

Every client who works with us meets the delivery team before the partnership starts. No senior-sells-then-juniors-deliver switch. You know exactly who's doing the work because we introduced you.

Six years at Google taught me that shipping at a billion users is mostly edge cases. The happy path is 10% of the design. The other 90% is what happens when things go sideways.

Clients care about outcomes. I get paid $50k/mo because the outcomes I deliver are better than others. Use AI to boost your outcomes, and you’re more valuable. Yes some clients will be able to get good outcomes themselves, but yours should be better.

@josephcohen @infinitemachine very nice, it’s so modern yet timeless

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The quality bar at Halaska isn't a document. It's @dominikmartn rejecting his own work at 11pm because the spacing felt off. You can't write that down. You can only hire for it.

@leo1yu @stanleybystan beautiful view, office seems peaceful

grateful for the @stanleybystan office

Go work here on hard mode and the rest of your career will be on easy mode

The hero screen gets designed once. The empty states, loading states, and permission errors get designed forty times. At Halaska we budget for the forty.

@vincentweisser Perfect problem to solve!

We raised $130M @ $1B for our series A To build the open superintelligence stack for everyone Pre-training concentrated frontier AI in a handful of labs. RL changes who can build frontier AI and just works across almost any verifiable domain. We want to enable everyone to train their own agents. Companies can now own their model optimization loop: train directly on your product, optimize for your specific workflows, and build agents that improve continuously in production Owning this model <> product improvement loop is how you build a compounding moat in the agentic era Super grateful to serve over 6k+ customers, including many leading AI startups, neolabs and enterprises already building on our stack, and to our incredible team for shipping hardcore! We train open frontier models and ship the same stack to our customers. Its spans the full stack of training, deploying and continuously improving models — compute, large-scale RL, environments, sandboxes, evals, and deployment. We're excited to be joined by angels who are building the frontier themselves, many of whom we work closely with: @johnschulman2 (Thinking Machines), @dwarkesh_sp, @AravSrinivas (Perplexity), @karimatiyeh (Ramp), @levie (Box), @_milankovac_ (Tesla), @winstonweinberg (Harvey), @amspector100 (Flapping Airplanes), @jeffwang (Cognition), @_arohan_ (Core Automation), @marksaroufim (Core Automation), @mikeknoop (Zapier, Ndea), @eastdakota (Cloudflare), @BrendanFoody (Mercor), @devanshpandey (Standard Intelligence), @hwchase17 (Langchain), @nicoup (Fleet) and many more We're a small team building open superintelligence > Reach out if you want to partner training, deploying and continuously improving your own frontier models for your use case > Join us to build open superintelligence — we're hiring across all roles including RL, inference, distributed systems, full stack engineering and compute.

We don't pitch. If a founder wants our strategic thinking, that's paid work from day one. Free strategy is a pitch in disguise and it produces worse thinking.

@tanmaigo @vickAlmondo Thought about killing the QL? If you want to kill Slack it needs to be consumer friendly

We raised $136M to kill Slack. Introducing PromptQL: The first AI version of Slack. Here’s how it works: