We just launched enterprise features so your company can deploy AI agents at scale without your security team rage-quitting. SSO, SCIM, RBAC, Audit Logs. SOC2 Type II, HIPAA, GDPR. All the acronyms that make procurement happy. The launch video features our founder celebrating

2026 is the year to elevate my circle So I’ve made the decision to cut all my followers worth less than $1 billion and with fewer than 10,000 vending machines To do that I told @GetLindy to search each of my followers' names, find their net worth through Perplexity, and create

this AI agent turns one workflow into a multi-agent empire, working in parallel fed it one event URL. here’s what happened: - extracted every speaker’s details - deep-researched each person (linkedin/news/PR) - found + transcribed their podcast appearances - crafted emails with

Nano Banana Pro is now available for all Lindy agents. Go forth and generate. 👉 https://t.co/Chi4SPVSfW

Behind-the-scenes shots from any scene you can imagine: https://t.co/GQiA2OUV0o

Recreating 500-year-old paintings: https://t.co/sSh0fr9oNG

Annotated diagrams: https://t.co/GzZ1heVXWF

Nano Banana Pro might be the first image model that doesn't immediately look like AI slop. Complex infographics. Realistic BTS shots. Product photography that actually looks like product photography. Here's what it can do:

Lindy Enterprise went live yesterday, and people think these raw unhinged launch videos just “happen” but behind every great scene is an even greater director. @altimor’s other childhood dream finally came true.

Most AI agents fail because they can't remember shit. Here's the exact memory architecture I copied from researchers and use for all my agents: 1) Semantic Memory = Facts that don't change. Company policies, who does what, core knowledge. Learn once, know forever. 2)

Gemini 3 just dropped with record benchmarks. All our Lindy agents (even the dusty ones from Q1) got a major upgrade. Takes one click. This tweet took longer. Start building: [ https://t.co/Chi4SPVSfW]

There's never been a greater disconnect between what's possible and what people think is possible. People still think AI agents are this thing that barely works or needs a PhD to set up. They can't be blamed - that's been true for 99% of agent systems out there. But the most

"we've crossed some threshold where building automation is faster than the meeting to discuss building automation"

excited to host this build night next week in SF with @webtotheflow @Lindyydrope and @getlindy team at HQ

come build the most cracked sales AI Agents with us!

You've been rebuilding the same workflow in every agent like some kind of automation masochist. We finally added copy-paste for workflow steps. Build it once, paste it everywhere. Select any step or sequence, copy it, drop it into another agent. Works exactly like you'd expect,

Most companies spend $40k on competitive research that ends up in a deck no one reads. Then they wonder why their positioning sounds exactly like everyone else's. Built an agent that does the whole thing: researches your product and competitors, identifies gaps you can actually

One of our customers asked our implementation engineer if they could get an agent just like the one who sold them on Lindy. That agent was me — 8 calls, 2 months, one enterprise deal

We just found some users running competitions of who can save the most time with AI agents. One of them saves 172 hours per week, the equivalent of 4+ full-time employees!! (And some of them have a bad attitude about it tbh. "60 hours a week? Those are rookie numbers")

Accurate. https://t.co/YhL1PbYcLH