yelling at people to use more AI co-founder @merge_api
San Francisco
Joined September 2009
- Tweets1.7K
- Following598
- Followers2.3K
- Likes5.7K
Gil Feig retweeted
Congrats on your connector launch, Arena!! Merge is honored to be powering your connectors.
nitter.gq/arena/status/211513824…
Arena update: Connectors are now in Agent Mode!
By bringing real-world tools directly into Agent Mode, users can take on even more complex, real-world tasks from start to finish.
Our global community of users can now connect tools like Vercel, Linear, GitHub, Supabase, Notion, Gmail, Google Drive, Google Calendar, and more as part of a single task in Agent Mode. We’re starting with some of the most requested services from our community of builders, and will continue expanding the list over time.
Gil Feig retweeted
yesterday, @merge_api signed on one of the top AI labs in the world, in the middle of one of the fastest AI buildouts out there.
so proud of the team.
Gil Feig retweeted
@merge_api for Workforce is now live on the Microsoft Marketplace!
🔪🔪🔪
marketplace.microsoft.com/en…
Gil Feig retweeted
Just onboarded one of the fastest-growing AI companies in the world onto @merge_api.
We've made a lot of product bets over the past year, and it's incredible to see our team's hard work continue to pay off.
✨️
Gil Feig retweeted
Which model uses MCP tools best?
We tested 6 models on the same 30 multi-step tasks, using real MCP servers in Claude Code.
Frontier models like Opus 5.5 led on completion and speed but open models like MiMo cost 87% less per attempt.
How much is Opus’s lead actually worth? 🧵
Gil Feig retweeted
Merge has been named one of @FastCompany's 7 Next Big Things in Foundational AI for 2026!
Agents are only as good as the data they can reach. Merge is the layer that connects them to tools like @Salesforce, @Workday, and @GitHub, while keeping access secure.
Check it out: fastcompany.com/91612044/fou…
Gil Feig retweeted
Hello, it's Me(rge). On the Microsoft marketplace. Enjoy.
marketplace.microsoft.com/en…
Gil Feig retweeted
Now live on Merge - routing to self hosted models.
nitter.gq/merge_api/status/21049…
Enterprise AI shouldn't force teams to choose between control and flexibility.
Merge Gateway now supports self-hosted models so that teams have a single place to operate them alongside models from @OpenAI, @AnthropicAI, and countless other providers.
Keep sensitive workloads on your own infrastructure, while governing everything through Gateway.
Check it out: gateway.merge.dev
Gil Feig retweeted
One week left on 90% off GLM 5.3 Flash.
A task costs nine tenths of a cent until September 30th, then nine cents. If you have a batch job, an eval sweep or a test suite you have been meaning to run, this is the week.
merge.dev/gateway
Gil Feig retweeted
Congrats to the amazing @FactoryAI team! @merge_api is honored to be powering your connectors.
nitter.gq/FactoryAI/status/20999…
We've raised $200M at a $5B valuation to scale self-improving software development in the enterprise.
The round brings our total funding to over $400M and more than triples our $1.5B valuation from April.
ALT Bold graphic with red background features a Factory logo, highlighting fundraising of $200M and valuation of $5B, on the way to pioneer the self-improving software category.
Gil Feig retweeted
An agent can create a Merge org, get an API key and call tools. A human can claim it later.
That last part is smart. Congrats @shensi, @GilFeig and the @merge_api team.
Soon, agents will expect to understand pricing and terms, then use software and pay.
docs.merge.dev/merge-agent-h…
Gil Feig retweeted
every time i go to sf I’ll encounter the worst AI ad ever made but they genuinely outdid themselves w this one
Gil Feig retweeted
Merge’s Universal Context Layer is looking like a real contender for GOAT status in AI connectivity. It turns every employee’s AI lessons into shared company knowledge, cutting token spend while lifting accuracy for the whole org—like a franchise QB who makes the entire roster better every snap.
Gil Feig retweeted
Introducing Merge’s Universal Context Layer.
It substantially decreases token cost while increasing accuracy.
Every company uses AI wrong:
Say your designer makes a deck using Claude. They teach Claude your design systems and typography.
Now a Marketing hire makes a deck. None of the information your designer taught Claude gets passed over… why?
Merge fixes this:
All knowledge and memory across your entire company gets stored inside our context layer.
When someone on the org teaches Al, that skill lives across the entire organization instead of staying locked in their session.
Your AI runs faster, cheaper, and with more accuracy. You don’t have to switch systems, incur more costs, or retrain anyone on your team, Merge runs invisibly in the background.
Book a demo here: merge.dev/merge-for-workforc…
Gil Feig retweeted
Six more connectors just landed in Merge Agent Handler:
- TinyFish
- Nooks (@NooksHQ)
- CasePeer (@CASEpeer)
- Nextech Practice+
- Microsoft Graph Security (@Microsoft)
- Jira Data Center (@Atlassian)
docs.merge.dev/merge-agent-h…
Gil Feig retweeted
shitty tools can be expensive - that's why we build ours in-house
nitter.gq/databricks/status/2095…
We found and eliminated an estimated $1.2M a year in wasted AI spend and lost productivity in one hour.
Here's how 👇
Using Unity Gateway tracing and Genie One, we identified seven small MCP-server bugs that were quietly driving:
• ~$499K/year in wasted tokens
• ~12,000 engineering hours/year in agent wait time
• 1,409 tool errors in a single 24-hour window
Genie One turned the trace data into a ranked list of what to fix, and a coding agent helped close the loop in an hour. databricks.com/blog/how-we-e…
