co-founder @ship_together | honest takes on AI
127.0.0.1
Joined September 2020
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this is so cool, you can literally control a real iPhone without ever leaving X
but this is what someone was searching when i opened it 😂
12 years ago, twitch played pokemon.
today, x plays iphone.
click ▶️ to use the phone.
xphone.solid.site/
you can now sell your data...
AI labs have already trained on everything public,
and now they're hungry for new data
if your company is sitting on private data, you can now sell it straight on DataVendor:
> you set the price and keep ownership
> every listing gets checked for secrets and personal data before it goes live
🤝 Paid partnership
We're announcing the public beta of datavendor.ai
We spent the last two years building the best solution for people buying and selling data, whether you're a researcher in a lab or a company trying to sell data.
Data is the fundamental bottleneck for AI progress, and DataVendor will be the infra that solves it.
a creator posts about your brand, it blows up, and you only find out a week later
simply because they never tagged you
Nectar catches those posts, then helps your team act on them:
> reaches out to the creators already posting about you
> answers comments and DMs in your brand's voice
> tells you what to post next
🤝 Paid partnership
Engineers stopped writing every line of code and started directing agents.
Growth and marketing teams are in that moment now.
Meet the next chapter of Nectar: the agentic growth stack. One platform replacing 5+ legacy tools. Agents that work every message, creator outreach and creative research about your brand, and tie it all back to revenue 🍊
Wise retweeted
imagine building an AI agent that can shop for you, only to discover the store has its own agent
this is exactly how the agent economy is playing out.
> Yelp blocked outside agents and is now building it own internal agent
> it's no longer humans vs AI.
> it's whether your AI can access the platforms it needs.
imagine building an AI agent that can shop for you, only to discover the store has its own agent
this is exactly how the agent economy is playing out.
> Yelp blocked outside agents and is now building it own internal agent
> it's no longer humans vs AI.
> it's whether your AI can access the platforms it needs.
i can’t believe what this Ex-Anthropic founder just released
it’s called spacesheep, and it’s the canva + notion killer
My agents sent me 355 hours of reading this week. I can't read that fast.
We're launching Spacesheep (YC F26) to fix that: agents' work lands in a space your team can actually understand and work on together.
Try it: tell any agent "share this to spacesheep.dev"
I've tried running coding models locally, they always ended up too slow & too dumb to use
this is so different, Recursive just released Flint, an open coding model, they built from scratch in under 4 months
> it is so fast and good
> over 125 tokens/sec on an M4 Pro MacBook Pro (short contexts)
> best in its class on coding benchmarks like SWE-Bench Pro
> open weights, so no API bill
🤝 Paid partnership
Introducing Flint, @Recursive_SI’s first model: a fast local coding model built with our automated research system, the Eureka Machine.
• Best-in-class fast local coding
• Up to 2x faster than comparable models: 125+ tokens/sec on a MacBook Pro, 150+ on RTX Spark
• Built from scratch in under 4 months
Private, unmetered intelligence on your own machine. Open weights available now on @huggingface, run it locally on your favorite framework or try it for free on @opencode or @pidotdev.
you probably shouldn't give an AI agent access to your personal email
with just one API call, AgentMail gives your agent its own inbox
> sign up for things
> get receipts and answer customers
> handle invoices
all without ever touching your inbox
🤝 Paid partnership
Today, @agentmail has processed over 1 Billion emails.
A year ago, we processed under 20 million.
So we figured it was time for AgentMail to grow up a little too :)
So Topview just built its own AI video model, and it costs 62% less than Seedance 2.5.
Sixty. Two. Percent.
> $0.22 per second at 1080p.
> Seedance 2.5 charges $0.585.
> Built to match the same quality.
that means almost three clips for the price of one.
🤝 Paid partnership
Introducing Topview T1 🎬
Topview’s newest AI video model. Built to rival Seedance 2.5 1080P quality at 62% lower cost.
More shots. More iterations. A much smaller bill.
Plus, Ultra Annual users get 30 days of unlimited T1 generation.
Put T1 to the test, now on Topview.
#TopviewAI #TopviewT1 #AIVideo #AIContentCreation #AIFilmmaking
Wise retweeted
I had a coding agent build a bike repair booking site in ~12 min,
and then it casually admitted it never actually clicked through the booking flow
so i gave TestSprite the URL and a quick spec, and this what happened:
> 4 agents poked around the site on their own
> wrote 21 end-to-end tests and ran them in real browsers
> checked closed sundays, slot lengths and cancellations
AI agents are good at writing code, but you still need something that tests it like a real user
I had a coding agent build a bike repair booking site in ~12 min,
and then it casually admitted it never actually clicked through the booking flow
so i gave TestSprite the URL and a quick spec, and this what happened:
> 4 agents poked around the site on their own
> wrote 21 end-to-end tests and ran them in real browsers
> checked closed sundays, slot lengths and cancellations
AI agents are good at writing code, but you still need something that tests it like a real user
you can try it here
testsprite.com/?via=wise-x
Coding agents don't make one model call. they make dozens of calls
every step waits on tokens, and that waiting adds up.
the usual fix is a paid "fast mode", which often means premium pricing or burning credits quicker.
EAGLE-4 takes a different route: open-source speculative decoding you run on your own serving stack.
> No EAGLE software fee (you still pay for your own compute and hosting)
> You can read code and tune it to your hardware and load
> you check the speed vs cost trade-off on your own workloads
I'm planning to test it on a coding-agent workflow and share real before/after numbers.
EAGLE-4 is here.
From EAGLE-1 to EAGLE-3, we’ve kept making inference faster.
EAGLE-4 is our fastest yet.
961.6 tokens/s on @Alibaba_Qwen’s Qwen3.8-27B with TokenSpeed (BF16, 4× @NVIDIA B300, TP4, one request, T=0).
Github: github.com/eagle-hq/EAGLE-4
i probably shouldn't leak this but this is how i've been shipping side projects without touching them
> find an app people already pay for and hate
> have solid.tech pull its 1 star reviews
> it builds the version that fixes them on its own mac mini
> deploys it, hooks up stripe, done
stopped using hermes because i couldn't get it to finish anything