Seed Investor, 2x founder, ex-Netflix Eng Dir, leadership/startup mentor, foodie, travel enthusiast
San Francisco, CA
Joined February 2014
- Tweets1.3K
- Following283
- Followers433
- Likes508
Bruce Wang retweeted
This paper from columbia summarizes why smol machines is needed: arxiv.org/abs/2604.17180
ai is already changing the world but it still needs human to babysit because we're afraid of the mistakes and the effects of those mistakes.
smol machines give every try its own copy of whole computer with the ability to rewind the entire computer. The fundamental idea is to treat the entire computer as data itself. So you can version control it the same way git did it to code.
we're trying to effectively make it ~free for agents to make mistakes & recover easily.
Bruce Wang 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.
Bruce Wang retweeted
Your AI voice sounds human. So why can't it say your product's name?
A great AI voice reads "Porsche Taycan" as TAY-can. Porsche says TIE-kahn. It guessed from the spelling, and nobody caught it, because nobody listens to line 1,200.
Today we're launching Onepin: the production step after text-to-speech. It checks every line of voiceover before it ships using the voices you already work with.
Onepin can:
➤ Check people's and product names against a 4-million-word pronunciation dictionary
➤ Spell out prices and dates before the voice speaks
➤ Score every line of audio for naturalness, clarity and word accuracy
➤ Fix the one wrong word in the same voice, without re-rendering the take
Works with your voice subscription on @ElevenLabs, @OpenAI, @Google and 30+ more. No phonetic spellings to type. No re-rolls. No switching providers.
Free to start, no credit card required. Hear the before and after in the thread ⬇️
Bruce Wang retweeted
This is huge!! super excited about it. Meet 𝐂𝐞𝐫𝐞𝐛𝐫𝐚𝐬 𝐊𝐧𝐨𝐰𝐥𝐞𝐝𝐠𝐞: one of the most widely adopted internal tools used by humans, automations, and agents, serving 15𝐤 𝐪𝐮𝐞𝐬𝐭𝐢𝐨𝐧𝐬 𝐝𝐚𝐢𝐥𝐲. It establishes a practical system for context engineering from a massive, fast-growing, dynamic enterprise corpus that actually works in production for agents.
In a real enterprise setting, information is generated wherever it is convenient and ergonomic, and agents need to meet data where it lives: Slack, Codebase , Docs, Jira, and internal information that doesn’t live in any of these platforms. Different platforms are tailored for specific domains, optimized through years of product engineering.
This article is an end-to-end guide covering how to ingest from different sources, reconcile them, and put them in the right order with the right amount of precision and recall, and continuously surfacing fresh context that works best for agents.
Every enterprise is trying to figure out how to build a knowledge base for agents these days, and this serves as an instrumental and inspiring guide.
We are big fans of @cerebras and this project, and @cocoindex_io is super honored to support this effort. Let’s go!
Bruce Wang retweeted
Exciting Announcement!
-Bruce Wang @batmany13 from @netflix
-Catherine Miller @redcat9 from @flatironhealth
Marian Kamenistak from @MewsSystems
Will be talking about "Fostering a High-Performance Culture" at Elevate Summer!
RSVP here - go.platohq.com/INYGSgYl
#tech #engineer
Bruce Wang retweeted
Just had a really good discussion with @michaelswinslow, @batmany13, and @gaythu_rajan On Building the tools for cross-team communication. Nice to share ideas of what works for different teams and what embrace communication from top down as well as transparency stood out for me. – at Godalming, England
Bruce Wang retweeted
Today on @TheLeadDev! Join our SDK & Cloud Team Lead @Czajkowski, along with @batmany13, @gaythu_rajan, and @michaelswinslow for a panel on communication within engineering teams! #devops #programming
⏰ 17:00 LON / 12:00 NYC / 9:00 SF
🎟FREE RSVP
vonage.dev/3vzop2H
Bruce Wang retweeted
A great team is only as good as its communication strategy!
Expert panelists @Czajkowski, @michaelswinslow, @batmany13, and @gaythu_rajan discuss how engineering orgs can build a support network for efficient problem solving.
bit.ly/3gJ5YEy
Bruce Wang retweeted
Book your place at our 3rd #LeadDevLive and tune in for a conversation on influencing without exerting authority.
@sarahm (@mailchimp), @Rukmini_Reddy (@slackHQ), @EWonf (@calm), @nicksrockwell (@fastly) & @batmany13 (@netflix) share their frameworks for effective influencing.
Bruce Wang retweeted
Hiring is one of the biggest levers to increase your team's impact. But it's not the only one. My management team (incl. @batmany13 @kcasella) recently wrote down our philosophies on staffing & other levers for impact: buff.ly/38nXhek
Bruce Wang retweeted
Huge thanks to @batmany13 for sharing his wisdom about thinking through your team's lifecycle in one of our @joinenrich fireside chats! 🔥
Bruce Wang (@batmany13), Director of Engineering @Netflix, on the four stages of team development—and why being deliberate about culture is one of the keys to nailing the growth stage.
joinenrich.com/blog/4-stages…
Bruce Wang retweeted
tonights @joinenrich happy hour was off the charts! thanks @batmany13 and others for attending. congrats to @benmchristensen @joinHandshake for the handstand!
Bruce Wang retweeted
This Friday at 2pm PT, @batmany13, Dir of Eng @netflix is hosting a fireside chat on Managing the Lifecycle of your Team. Request a seat below - priority given to enrich members.
zmurl.com/brucetalk
Bruce Wang retweeted
Netflix stories help entertain and connect us in all kinds of times. My group is proud to build and operate systems that ensure Netflix is there when you need it to be. We're hiring too - check out this post for more info:
linkedin.com/pulse/netflixs-…
#netflix #hiringtalent
Bruce Wang retweeted
There’s absolutely no way I could pass the coding interview at any of the big tech companies. Even the ones where the interviewer learned to code from one of my tutorials.
Bruce Wang retweeted
for anyone who uses TODO comments or collaborates on codebases, what do you think of github.com/augmentable-dev/t…? It's a CLI to surface TODO comments (in any language) and presents them next to the git blame to show when a TODO was added and by whom
