Parker Conrad
@parkerconrad
Rippling payroll & HRIS admin, CEO.
Nothing here should be construed as investment advice nor used in any investment decisions related to Rippling.
505 Following 435.6K Followers
What happens as the cost of creating software goes to zero?
Kids these days don't remember a world before memos.
A personal passion project of mine is finally happening: XFN, @Rippling's first-ever user conference.
We will NOT be announcing things we haven't actually built (!). I hate vaporware.
See you in April!
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Today, @Rippling is launching IT Helpdesk, an AI agent that automatically resolves the most tedious IT support issues.
Like, "can u reset my password plz"
And, "I need a Figma license"
And, "spilled coffee on my laptop :(" 🧵
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Man, Rippling is on fire launching new products.
Today, @Rippling is launching IT Helpdesk, an AI agent that automatically resolves the most tedious IT support issues.
Like, "can u reset my password plz"
And, "I need a Figma license"
And, "spilled coffee on my laptop :(" 🧵
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Rippling AI Revenue has grown 121% in the last two months.
AI Agents so good, that we don't need a buyout from Silverlake.
A really unique take on MCP from Rippling - our MCP lets agents write code to get stuff done in Rippling, which dramatically expands the aperture of what you can accomplish.
Today we launched the @Rippling MCP server. A product we've worked relentlessly on to make your agents go "oh hell yea."
Most companies treat shipping an MCP server like checking a box. They repackage APIs built for humans and call it done. We did the opposite. Rippling lets agents write code to do the work and return only the answer. See how we built it:
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Ship ship ship. You're never too big to stop shipping - in fact, these days, the bigger you are, the more you need to be shipping these days.
This has transformed the way I run payroll for our ~ 6,000 employee co., as a solo payroll admin. People bring me the inevitable one-off changes in slack, we discuss them there, and then I hand off directly to Rippling AI which just... does it all.
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Narrative violation for all the “I don’t want to use your embedded agent” folks on the tl.
AI Agents so good, that we don't need a buyout from Silverlake.
3 weeks ago, @runlayer sued Rippling to block our launch of a competing MCP Gateway. They incinerated $ millions of their VC funding, then dropped the whole thing like a hot potato, for nothing (see our filing, below).
So today, we’re dropping our new MCP Gateway. It’s better. 1/
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imagine taking out a loan. from the government. to pay taxes to the government. on money you only MIGHT POSSIBLY ONE DAY HAVE. forced into debt to pay tax on THEORETICAL money. you all see how completely fucking dystopian that is yes?
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So crazy that the representative for Silicon Valley is in favor of this tax that would be most damaging to the area he was elected to represent… and worse, he doesn’t seem to understand that.
We REALLY need to find someone strong to run against him in the primary in 2 years.
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The California Democratic Party and the California labor movement just stood with @BernieSanders and me in supporting 5% wealth tax on 250 California billionaires.
California voters want a Democratic Party that will stand up for the working class over the billionaire class.
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Hmm. Today, we ran our 2100 scored runs with Grok 4.6. Versus 4.5, the pass rate regressed from 87.3% to 85.9%, and nearly doubled the median latency (71s → 131s). Grok 4.6 also errored out more ("Something went wrong"), refused to answer benign questions (e.g., "Who in Sales has access to Google Workspace"), and produced incomplete outputs but claimed success (returning 54% of the required fields, but asserting 100%).
Could be a matter of prompt tuning, but it feels like we're at the Pareto front (at least for now) on some of these models with everyday business tasks.
Read the original post for details on the shape of data and tasks RipplingBench represents; it's very practical.
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Another big launch: Rippling AI Spend Console. Dashboards yes, but also a model router to control spend, and lineage analysis w/ Github data to directly measure engineering ROI. It really works! Our internal results in thread 🧵👇
...
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This is why access to open weights matters - GLM 5.2 is 85% cheaper but nearly identical performance.
Really impressive to see how well Grok 4.5 perform here, on a set of benchmarks that labs are not training against.
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Anthropic isn’t anti-datacenter. They are pro regulating-open-weight-models-out-of-existence.
I would say this is the dumbest episode of mass delusion I've ever seen in my life, but I lived through the 2020s. Anyway, I truly did not see the leading lights of the industry joining forces with the anti-datacenter crowd, yet here we are.
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If U.S bans Kimi, it will actually benefit Kimi:
1. They aren't making much money in the U.S and banning it has no impact on its business.
2. U.S sanctions prove Kimi is a frontier AI leader worldwide, which makes China proud and will help boost their upcoming IPO in China.
3. They will continue to distill Anthropic, use B300s, and launch better models.
Instead, it's a sanction against every American consumer and enterprise.
- It increases their AI OpEx spend,
- slow down their agentic adoptions, and
- fails to protect their data and AI sovereignty.
This is the least MAGA policy ever.
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If Anthropic is right and distillation is impossible to prevent, it follows that the strategic value of anyone opening a lead on frontier model capabilities is short-lived, and national security arguments for protectionism fall apart. If china pulls ahead we can distill them!
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