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SF
Joined June 2026
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Introducing Offloop! We're a team of four. Today our multi-agent harness hit state of the art on GDPval, ahead of Claude code and Codex across jobs that pay $2.4 trillion a year in the US. Offloop gives every knowledge worker what the Fortune 500 spends billions on: a high-performing agent army that runs itself and grows the business.
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Offloop retweeted
Prompt is dead. Now just make a wish. Guys, I just test latest deepseek v4.1 flash 1017 @deepseek_ai. It is insane. It is so insane. ONLY one prompt, one shot, and it built the cod style fps game: build a call of duty 23 fps game use three js. It auto build 37 mins and JUST 0.1 USD! 5-wave tactical survival operation, 3 operators,3 difficulty protocols. I can not find word to describe my feelings now. It seems the same level as Gemini 4 and better than Chatgpt 6.1 sol @deepseek_ai is back.
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i've been testing DeepSeek v4.1 Flash 1017 for the past few hours. -> one shot, 31 minutes of autonomous execution -> only $0.22 -> the promising part is how far it can carry a task from a brief description without me steering every step. this is the kind of long-running execution that makes “just describe what you want” coding feel useful. this SpongeBob showcase is one of the results, a short prompt asking for a 30-second Three.js scene with water absorption, simulated physics, cinematic lighting and bubbles.
We gave Gemini 4 Argon and Claude Opus 5.5 same prompt Gemini 4 Argon ~ 3m14s, $0.31 Opus 5.5 ~ 15m21s, $2.47 ~5x the time, ~8x the cost. Left or right?
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Make a single-file three.js scene that auto-plays a 30-second loop of SpongeBob under the sea soaking up water, with real simulated physics. Polished, cinematic Pixar-like look with soft lighting, god rays and bubbles.
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We gave Gemini 4 Argon and Claude Opus 5.5 same prompt Gemini 4 Argon ~ 3m14s, $0.31 Opus 5.5 ~ 15m21s, $2.47 ~5x the time, ~8x the cost. Left or right?
With Gemini 4 Argon, your research has new ways to tell its story 📖 We used Nano Banana, Veo, and Argon to turn a dense academic PDF into a full-color, animated storybook in the @GeminiApp.
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After half a day of failed attempts and retries with Gemini 4 Argon, finally tested the margarita sloshing effect with: → Gemini 4 Argon, $1.64 → GPT 6 Astra, $4.90 → GLM 5.3, $0.93 → DeepSeek Flash, $0.24 They all used Three.js + WebGL. Gemini has improved so muchhh 🍸 Tested with Offloop.
Gemini 4 Argon is here. It’s available globally today for developers and enterprises in the paid tier of the Gemini API and the Gemini platform, for Ultra subscribers in Google Antigravity, and Ultra and Pro subscribers in the Gemini app and Search. Hope you all enjoy it!
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Replying to @Altimor
The design-system detail in the quoted post caught my eye. Reusing the product’s own components seems like a practical way to keep demos visually consistent.
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Replying to @iamsania_AI
I’d keep the source links attached when moving the research into Claude. It makes checking the final draft against the original material much easier.
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Can you ask for a specific revision like “keep this take, shorten the pause” once the first edit is done? That’s the workflow I’d be curious to see next.
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Replying to @Finaltoucch
Can you review the generated image and request changes from the same Claude session? Keeping that feedback loop in one place would be useful.
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Replying to @darasoba
A recurring task seems like a good place to start. Try it on something you already do every week, where you know what a useful result should look like.
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The existing artwork plus a small game design document is a useful starting point. It gives Claude both a visual reference and rules to build around.
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Being able to change the timing or swap a visual without starting over is the part that interests me most. So much of editing is those small adjustments.
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Replying to @OBAxbt
The “where to save it and how to evaluate it” part is easy to overlook. It gives the agent a much clearer finish line than just describing the task.
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Replying to @Altimor
A global shortcut makes so much sense for this. Copying text into another chat just to summarize it can feel like more work than reading it.
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Replying to @Altimor
On a project this size, where did most of your time go—scoping the work, coordinating agents, or reviewing what they shipped? I’d love to see that breakdown alongside the line count.
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Your next customer might already be in your pipeline. Offloop’s agents review past conversations and spot new signals across the web, so you can follow up as soon as an opportunity opens up. Try it at offloop.org
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Jev (@typesafeai) coming soon to @Offloop 🫶
ok now I find the best Jev use case
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if you are working in an 「agentic company」 - guess who is who's assistant?
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