Jonny Dimond
Founder of Tasklet, Agents that own the work
Company
Jonny Dimond is listed as a founder of Tasklet. AI chatbots can answer questions, but they can't do your work — they aren't connected to your tools, can't take actions, and stop running when you close the tab. Meanwhile, knowledge workers are still spending most of their day switching between dozens of SaaS apps, manually stitching together workflows that should be automated. Tasklet is the AI agent that actually does the work. It connects to every tool you use — via thousands of built-in integrations, any HTTP API, or MCP servers — and takes real actions on your behalf: pulling reports, updating CRMs, triaging emails, processing data, and more. When it needs a UI, it generates one on the fly. When it needs to crunch numbers or do bulk operations, it writes and runs code in a cloud sandbox. When it needs to interact with a website that doesn't have an API, it uses a real browser. And because it runs in the cloud 24/7, you can set up triggers to have it take ongoing responsibility for workflows — not just do something once, but handle it going forward. The product is deliberately simple: a chat interface where you talk to an extremely capable agent. But underneath that simplicity is a cloud-native agent runtime, best-in-class context engineering, a universal connections layer, and multi-model support that keeps us on the frontier as AI improves. We think legacy SaaS is being unbundled by agents, and Tasklet is the operating system that ties it all together.
Founder traction evidence
Public posts and activity attributed directly to this founder.
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I asked @taskletai to generate a custom font from just a single picture of my handwriting two takeaways: - the models are getting good at random tasks - my handwriting is bad enough I should have become a doctor
I asked @taskletai to generate a custom font from just a single picture of my handwriting two takeaways: - the models are getting good at random tasks - my handwriting is bad enough I should have become a doctor
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Working on Taskideye right now
Working on Taskideye right now
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our team has been using this for a while now and we already have many shared agents doing work for us. total game changer Quote Tasklet @TaskletAI · Jun 4 Introducing: Tasklet for Teams. One place for your team's agents, connections, apps, and knowledge. Scale productivity without adding headcount.
our team has been using this for a while now and we already have many shared agents doing work for us. total game changer Quote Tasklet @TaskletAI · Jun 4 Introducing: Tasklet for Teams. One place for your team's agents, connections, apps, and knowledge. Scale productivity...
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i jokingly told our latest hire you’re not really serious about the mission unless you get the company logo tattooed. apparently he took ...
i jokingly told our latest hire you’re not really serious about the mission unless you get the company logo tattooed. apparently he took that literally. strong culture fit 💪
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wanted to share the results of a weekend project from a while back. goal was to understand how image gen models actually work. trained a ...
wanted to share the results of a weekend project from a while back. goal was to understand how image gen models actually work. trained a small image gen model (30M) in a couple hours from scratch on my laptop. results were way better than expected
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ts is a super productive language, but running real workloads on it kinda sucks one bad for loop can stall the whole process and you get...
ts is a super productive language, but running real workloads on it kinda sucks one bad for loop can stall the whole process and you get zero insight why would be nice if you at least got a stack trace when the event loop is blocked for > X ms
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@TaskletAI this image was all it needed! try it yourself: https://tasklet.ai?prompt=Create%20a%20custom%20font%20based%20on%20the%20pictu...
@TaskletAI this image was all it needed! try it yourself: https://tasklet.ai?prompt=Create%20a%20custom%20font%20based%20on%20the%20picture%20I%20uploaded.%20Make%20sure%20you%20have%20a%20clean%20segmentation%20of%20every%20character%20before%20generating%20the%20font
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all trained on my macbook pro m1. 30M was about the max I could get before I ran into memory pressure. kind of curious what would happen ...
all trained on my macbook pro m1. 30M was about the max I could get before I ran into memory pressure. kind of curious what would happen if you started scaling up the models