One year since graduating today:
– 1.7 M users
– 500M views
– Team of 10
– 3 offices
– Endless learnings at 22
Grateful for everyone—especially the cracked co-founders and backers.
Only just getting started.
Agents are your new customers.
Introducing Intents by @tryscope_app
https://t.co/MgmGU1Vyae
Now you can see why they discover your product, and why they leave.
See what agents came to do, where they get stuck, and what's missing from your docs, content, and features.
We draft the fix. You hit publish. Then track the impact.
The intelligence frontier keeps advancing every day. Are your agents delivering better outcomes on what matters?
For enterprises, the promise of agents is more work completed reliably, with less human intervention and a lower cost per successful task.
Today, we’re launching @neosigma_ai and our mission to empower every organization to build their own sovereign intelligence lab.
A place to operationalize their knowledge, replay real work, and optimize agents against the outcomes that matter to their business. Where production experience compounds into intelligence the organization owns.
We’re starting with NeoEval, our automated evaluation engine. It turns your production data into evaluation environments - that dynamically evolves along with your users, workflows, and frontier.
A playground for evaluating and optimizing your agents.
Your data. Your institutional knowledge. Now operationalized into evals and compounding intelligence.
Stay tuned for the next few days of updates from NeoSigma.
A really slept on enterprise tool is @enterpret_ai
The multi channel feedback, slack querying has our product, design and UX team hooked at @quizlet
10x better than much hyped alternative customer support platforms
Final boss of benchmarking is a language learning app with 1M+ users
Curious how these models perform with new 13 year olds picking up English
Congrats @rebryk
Speech-to-text is solved. Unless you have an accent.
Over 1 million people from 180 countries have spent 580,000 hours speaking with Fluently AI tutors while learning a new language.
Nearly all of them have an accent, and transcribing their speech is still hard.
So we benchmarked streaming speech-to-text systems on spontaneous, accented English from our learners. Leaderboard and methodology in the thread.
English is the easy one. Our learners study 14 other languages too.
Working on tough speech problems? DMs are open.
Today, I'm launching Vene: your AI advocate for healthcare.
I used to spend a dozen hours a week managing care for my dad, a disabled veteran, and my mom, who has a severe autoimmune disease. Healthcare was a full-time job for my family.
Our goal is to end the burden of care for every family:
When you're sick, or caring for someone who is, the hard part is everything after the hospital: the referral that never arrives, the test result nobody calls about, the bill that makes no sense, and everything in between.
For my dad, he spent hours on the phone to book an MRI. When he showed up, they told him to his face that insurance had stopped covering it. Then insurance told him to call a list of other offices and get the paperwork sent over himself, and he ended up giving up.
That’s why we’ve trained Vene to handle the toughest aspects of healthcare:
- Coordinating several specialists at once
- Challenging surprise bills and treatment denials
- Catching missed follow-ups and care gaps
My mom uses Vene to coordinate her primary care and endocrinologist, automatically refill and renew her prescriptions, and manage my little sister’s dental appointments.
They were my first users, and now over 5,000 families use Vene, and we're deploying it to another 50,000 patients across provider networks in the US.
defining a new category: phone-use
an mcp/api that gives ai agents their own phones
cloud phones. real androids. real iphones.
tell your agent what to do, and it can operate a phone just like you do.
today, ai agents face three fundamental problems and phoneuse solves them 🧵
15 months ago I moved from SF to London. Live witness to the energy shift. An influx of talent and companies from across the pond is giving rise to a new kind of builder.
Someone with SF’s delusion and London’s pragmatism ☀️
If you’re building in data, fintech or a young eng from SF, hmu!!
I’ve been skeptical of AI assistants, and Hark’s UI/UX is still pretty mid.
But sorting $1,000+ in refunds and free pizza within 72 hours, fighting customer support for an hour, sending daily follow ups, and legit clearing 48,000 promo emails? Impressive.
Serious phone use behind this one. Big fan of Live Activities too
Meet Pancake, the Vercel for GTM.
Try it at https://t.co/rNOxMpru82
Your agent ships your product. Now it ships your go-to-market.
How? A GTM brain that knows your business, 50+ data providers to find the right customers and tools to reach them.
Your next customers are one prompt away.
(did I really have to jump off a plane to say that? questionable, but I survived and now you're reading my tweet)
@mdali97982 Muse will probably be a net winner and has very cool UX but the consumer folly of not having a targeted product is the reason why 98% US households still don’t pay for AI
Classic consumer 101 mistakes being repeated from the 2021 cycle