Eyad Abdalla

@isaactolley_ Bro this is amazing!

Seedance 2 is actually insane. Unbelievable

@aribk24 What gives you purpose that is not ephemeral?

i’m 22 I own 7 homes I have my dream car I have over 7 figures in cash my studio makes over 10m a year and for some odd reason I feel like an NPC

@cwhogg @dvasishtha You make a good point Chris. Commure gave them distribution and access to large health systems. Which we it’s not the easiest thing to break into them.

@dvasishtha Give me one example where this strategy has been successful. I can give you many where it has not! makes for good pitch slides but sloppy nasty products that ultimately dont meet the pitch promise.

It makes a ton of sense to pile on more capital to Commure --> its a platform that uses now higher valued equity to acquire distressed but real revenue assets +acquihire good technical talent and then cross sell them into their health system base

@dvasishtha That is 100% what we are doing at Plena. We think in terms of workflows. Even though we have built a broader platform that gives us the ability to automate things quickly, we start with one workflow, show the ROI, and then go to the next. This makes expansion very organic

Had a fascinating conversation with a GM at a large payer who runs a several hundred million dollar P&L and is in the middle of AI vendor procurement. His view was that a lot of the $10–20M a year “AI platform" implementations at the large scale players are both slowing down time to impact + will be hard to justify once you include the AI cost, in house FTEs, implementation time, and opportunity cost. What he is seeing on the ground is much more pragmatic. Operators are less interested in another broad platform and more interested in whether a vertical AI vendor can take a specific workflow, automate it, and show a measurable reduction in opex within 3-6 months. The platform concern is also operational with EHR scarring: 1. Once you centralize every future AI use case through one vendor, you create a new dependency, and everyone assumes the annual cost only goes up 2. The fastest and strongest examples of AI adoption he saw was happening one workflow at a time, where P&L owners can quickly assess whether they want to change how their team gets work done For vertical AI founders I would ignore the top-down transformation program hype and continue to build relationships with operators quietly picking off workflows they are actually accountable for.

@GrantHesser Probably true

There's probably a very smart pitch deck to be put together right now around rolling up regional Medicare Advantage plans and automating as much of the claims adjudication / administrative opex w/ AI as possible.

@sir_aymansaleh First read it as Computer alligator

Computer allocator > capital allocator

@DrDiGiorgio It’s quite sad. When you treat doctors like ATMs they will be incentivized by those monetary outcomes, and burn out much faster.

Retirement age for physicians has decreased 9 years since 2008. Nobody wants to be a doctor forever anymore. We have crushed the profession and it will only get worse.

@isaac_tolley17 So bro, but read it as singlemaxxing at first 😅😂

signalmaxxing

@hthieblot Check these guys out: grizzhq.com

I want to fund as much hardtech as possible this year. Who is building the coolest shit? Bonus for images/videos

@isaac_tolley17 Your demo the other day was dope. A much needed product man!

we are now at 7k+ 5-star reviews 80,000 users now supported globally but it’s the individual stories that remind me everyday why we keep building we are on a mission to put a personal clinical specialist in everyone’s pocket share with a friend or family member today

@ZainManji This is the best description of the FDE role I’ve seen so far.

Agreed, the term FDE is now casually used. The truth is, not everyone treats "FDE" the same True, complete FDE engagements are ones where: - You embed deeply with customers, figure out the right thing to build, actually ship outcomes, continue to talk to customers and refine/iterate - You take all the learnings, pain points, successes, gaps back to internal product and engineering and improve the platform/underlying product - Build evals from the field and partner with research to improve models/agents It's all about owning the outcome, shipping solutions that solve real problems and have impact, learning from every engagement, and making every future deployment easier, cheaper, faster, and more successful over time At some point, the amount of work per FDE engagement should decrease if done successfully

@sir_aymansaleh Wise words.. you should write a book man.

Winners focus on winning, losers focus on winners

@NamanyayG Congrats!

"I was waiting for an idea like this, glad that you made this" - $9B valuation tech company CEO "this is the best thing to happen to our company" - Customer, Series B CEO "you are going to be the Stripe for AI software i can see it" - 2x Founder

@big_schmitz Congrats on the launch dude!

introducing sidekick :) i've spent the last 3 weeks trying to answer one question: what if ai just worked?

@yasser_elsaid_ Would love to attend it! Got connected through Robleh earlier

I am hosting a dinner for friends, founders, and builders in sf. I want to bring together people working on interesting problems at the application layer. DM or reply to this if you want an invite :)

@sir_aymansaleh Congrats Ayman!!

Excited to annouce the launch of my company Chronicle Labs (YC P26); the staging environment for enterprise AI agents. Just like trading teams backtest algorithms before deploying capital, companies should be able to backtest agents before deploying them into real workflows. We turn operational history into replayable sandboxes, so teams can test, debug, and safely ship better agents.

🚀🚀🚀🚀🚀

@romanbuildsaas @pierreeliottlal That’s too funny 😂

POV: you let your media buyer run ads without ever checking them ☠️ (I shut everything down, obviously.)

@seema_amble Welcome to healthcare lol

Net net: the platform wars are just beginning. And they won’t be fought with product - they’ll be fought at the API level

The API wars are here, with AI apps this time. Incumbents know the value of their data and that AI startups may start rebuilding their products behind the scenes - and they’re starting to fight back. Slack just cut off API access which impacts Glean and others. Zendesk may follow. But full-on API blockades probably won’t hold. Here’s what’s more likely to happen 🧵: