
co-founder of @sacrainc, investor at https://xitter.cf/t.co/9zdmUKJwn8 and chairman at @animalzco. previously co-founder at @idonethis.
New York, NY
Joined February 2008
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Walter Chen retweeted
A user sent us their PDF
HomeFig agent built it in 7 mins using real SKUs
So
- fully accurate construction plans
- real Bill of Materials with products you can buy
Seeing this for 1st time was a visceral experience for me
Our goal is for our users to 5x their sales
Walter Chen retweeted
Your AI is vaporware without deep integrations with your customers’ systems of record.
Introducing @WithAmpersand: integration infrastructure for enterprise agents.
We power 11x, Orb, and Square's ability to take agentic action in systems of record like Salesforce, SAP, NetSuite, and Workday.
Ask anyone serious about building AI and they’ll tell you:
- The SaaSpocalypse didn’t happen. The world depends on CRMs, ERPs, HRISs, and ITSMs.
- Your customers customized their deployments beyond recognition.
- Systems of record companies are basically monopolies. They never had to make their APIs and MCPs user-friendly.
- Docs don't explain half the weird edge cases you'll hit.
- One bad write can blow up your pilot or renewal.
- Once you finally get it working, someone changes a field and it breaks again.
The world's data lives in structured databases. AI needs a translation layer to work with it.
So, for your AI to truly transform the way enterprises work, you'll need deep integrations built for:
- scoped permissions
- bi-directional actions
- real-time speed for agents
- custom objects, fields, and workflows for each of your customers
We built Ampersand to power the future of software.
AI didn't trivialize writing integrations. It made them the critical path.
I believe that deeply, so I didn't make a launch video about Ampersand.
Instead, it's the best builders I know explaining just how big of a challenge this is.
Walter Chen retweeted
Introducing Mo, the world's first AI QA engineer
Point it at your app and 100+ agents bug bash it in parallel. Every bug comes back with repro steps, logs, and a video
In our evals vs Codex with Playwright MCP: → 3.8x more bugs → 9x more bugs per hour → half the cost per bug
RT + reply "Mo" for $250 in free credits. Drop your app URL, Mo will bug bash it and DM you the report today
Walter Chen retweeted
Today we are launching the @AugmentMarkets Private Liquidity Network, a standing self-serve trading venue for units of pre-IPO SPVs. Details in the thread:
😄
we’re excited to share that we’ve raised $20M (from Accel, Index, & Emergence) to build the 'ai-native Slack' you've all been craving
TLDR; ando is a team messaging platform built fresh, from the ground, up for a world where agents act as real collaborators alongside us.
we have teams using us across 15 countries, and spanning industries like software, financial services, real estate, & more
request access if any of this resonates 💌
Walter Chen retweeted
agenthook gives coding agents a webhook-backed inbox.
When a deploy, CI job, or another agent/service finishes after an agent’s turn ends, it can notify the agent instead of making the agent block and monitor.
introducing
═══════════ 𝚌𝚏𝚘.𝚊𝚒 ═════════════
tl;dr
1/ runway is now cfo.ai
2/ you can hire @arithecfo and he can start TODAY
3/ you can give @arithecfo a test drive by replying to this thread with any ridiculous thing you want him to model for you, and he'll come back to you with a beautiful, detailed, fully wired financial model
... in 30 minutes or less
now, story time:
🧵 1/n
incredibly excited to be partnering with @jonbma & the @artemis team.
one of the best ai analysts, now with @sacrainc research & data
BREAKING: Sacra’s (@sacrainc) private markets data is now live in Artemis’ AI Analyst.
We’ve partnered with Sacra to bring a deep private-company data directly into Artemis, including:
• Revenue and operating data
• Valuation and funding history
• Company and firmographic data
• News and market updates
• Expert interviews
• Analyst memos
Private markets research, made easy with Sacra + Artemis.
We were really impressed with how fast OAI's new gpt-realtime-2.1 was while still being able to call tools, so we wired it into our OS agent running on my phone. Now I can completely control any app on my phone while I'm biking to work
OAI Realtime Model in OS
Walter Chen retweeted
Today we're launching a whole new Arrows.
Every deal gets a gameplan.
Arrows gets it done.
Why? Because your best reps have a gameplan for their best deals... but it's all in their heads and is executed inconsistently.
Until now.
Walter Chen retweeted
Got some bad news and some good news today.
Bad: the claim on our website that @podia creators have earned more than $500M is stale.
Good: it's now more than $900M
Won't be sleeping through $1B
Walter Chen retweeted
old submissions collided with some new submission attempts on a uniqueness constraint — anyone who ran into this issue it should now be fixed!
Walter Chen retweeted
"Voice agents are built to be helpful. The problem is they can be too helpful and cross the boundary."
I sat down with @sumanyu, Founder and CEO of @HammingAI, at our @aiDotEngineer booth. @HammingAI stress-tests and monitors voice agents so the bank or hospital running one catches failures before a customer does.
Fresh after his talk “I Monitored Crime Audio. Voice Agents Scare Me More,” we got into:
0:00 how Sumanyu went from listening to 911 calls at Citizen to founding Hamming AI
0:39 why he's more nervous about voice agents than he was about crime
1:51 the first voice-agent security product
3:16 simulating messy reality: accents, background noise, code-switching
4:11 voice agents testing voice agents
5:47 why taking actions is table stakes, and what makes it dangerous
11:07 hot take: everyone rushed to B2B, more founders should build consumer
Thanks for coming to our @browserbase booth, @sumanyu!
Watch the full episode here:
Walter Chen retweeted
AI is extremely good at spending your money very quietly.
our own token spend went from a rounding error to more than 10% of payroll in a year. one week in May we burned through $1.5 m. our CFO didn't love telling me that number, and he really didn't love telling the internet.
but every finance leader we talk to is living the same story. the bill keeps going up and teams can't answer basic questions about it. which team is driving it? which models they're using? what changed this month? whether a cheaper model would do the same job?
so finance gets two bad options: keep paying and hope, or cut broadly and slow down the work that's actually compounding.
we built a third one. Ramp now connects to OpenAI, Anthropic, Gemini, Cursor and pulls it all into one place. see it, understand it, control it - down to a single API key. built with 1,000+ companies managing 100T+ tokens a month, and now spending less than they expected too! try it today at ramp.com/ai-cost-monitoring
Walter Chen retweeted
I almost got absolutely PWNED trusting @Google AI overview
(which I actually still think is spectacular)
🧵
Walter Chen retweeted
Thanks Sacra for having me! Shared about model routing in the enterprise and the hard stop of unlimited token consumption.
sacra.com/research/augusto-m…

























