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Tasklet (Tasklet) is the cloud agent OS for knowledge work. It connects to all your tools, uses computers in the cloud, and runs 24/7 to get real work done. Started by Firebase founder Andrew Lee and Jonny Dimond, it’s grown >1,200% this year to $5M ARR and just raised...

51,619 次观看 • 5 个月前 •via X (Twitter)

10 条评论

Romàn 的头像
Romàn5 个月前

@TaskletAI @startupandrew @jonnydimond The legend from firebase is back in the trenches !!!

Raphael Schaad 的头像
Raphael Schaad5 个月前

@TaskletAI @startupandrew @jonnydimond Let's goo Andrew, Jonny, & team! ✔️

Najeeb Abubakar👾 的头像
Najeeb Abubakar👾5 个月前

@TaskletAI @startupandrew @jonnydimond The "connects to all your tools" part is key. Most teams don't need another standalone AI tool. They need AI that actually works inside their existing workflow. Firebase founder building this makes a lot of sense, he knows what developer adoption looks like.

Ramy Wafaa 的头像
Ramy Wafaa5 个月前

@TaskletAI @startupandrew @jonnydimond 1200% this year is insane. the "always on agent" category is just getting started. tools that actually work in the background without babysitting are the ones that stick 🔥

mnage.ai 的头像
mnage.ai5 个月前

Congrats on the YC nod! 🎉 Couldn't help running Tasklet through Litmus — landed at CAUTION with a clear path to GO. Most interesting find: the AI-driven autonomous automation angle is a real wedge against Zapier's flowchart-heavy approach, but the integration moat is the thing to watch. Full breakdown → (Built Litmus to give founders a brutally honest VC-style read on their idea in 60s. Free to try if anyone here wants one for their own startup.)

shubham 的头像
shubham5 个月前

@TaskletAI @startupandrew @jonnydimond congrats on the launch folks! just signed up, hit me up for feedback

Zhiqi Pan 的头像
Zhiqi Pan5 个月前

@TaskletAI @startupandrew @jonnydimond The new era for software engineering and other knowledge work has just begun. This is huge.

YabsssAI 的头像
YabsssAI5 个月前

@TaskletAI @startupandrew @jonnydimond that cloud agent os for knowledge work sounds really interesting, 1200% growth in one year is no joke - did you have to scale your underlying infrastructure significantly to keep up with that kind of expansion?

Crossed Rabbit 的头像
Crossed Rabbit5 个月前

@TaskletAI @startupandrew @jonnydimond The agent works 24/7. The knowledge worker works 9 to 5. The math has been done. This is called productivity. 📡

Holdex 的头像
Holdex5 个月前

@TaskletAI @startupandrew @jonnydimond Congrats @TaskletAI team! Excited to see where you're going next

相关视频

The same kinds of productivity gains we've seen in coding with AI agents are heading to the rest of knowledge work. This is the jump when you go from having a chatbot to being able to actually have an agent go off and do work for minutes or even hours and come back with a complete work output that you then review. Here's an example of the new Box Agent filling out an RFP response from an existing knowledge base. This process would normally take hours to fill out, and requires the full attention of the user doing the work. Now, you provide the Box Agent with the RFP questions, and it will go off, make a plan, extract all the relevant questions, read through existing source material to come up with an answer, and then generate a new word document as the final output. All while you're doing something else. The key to this architecture is that the agent is able to use all of the same tools in the background that a user uses to get work done. The agent can search for documents, read entire files, run scripts and tools in the background, and even be able to write code on the fly to automate tasks it hasn't seen before. And best of all, the Box Agent will (soon) work from the Box MCP and CLI so you can invoke it in any agentic system as a step in a process. This kind of agent complexity would have been impossible even 6 months ago. Models consistently failed at tracking long running tasks or using the right tools at the right moment for the task. But this is all now possible because of models like GPT-5.4, Opus 4.6, and Gemini 3, and is only getting better by the month. Just as we moved from engineers writing code and using AI as an assistant to answer questions, in many areas of knowledge work -like legal, finance, consulting, sales, marketing, and more- when we have a problem we'll just kick off the AI agent to just go work on it for us in the background.

Aaron Levie

24,728 次观看 • 5 个月前