continuous workflows + browser history

🏃🏻‍♂️ Assume we want a perfect blend of "infra <-> app"?

manus = Manus replaces continuous human prompting with autonomous cloud execution.
OpenClaw replaces the application interface with direct local automation.
Are we trying to scale async reasoning + continuous multi-agent workflows or full-system level automation?
🏃🏻‍♂️ this is the correct read on the market condition, if the reward is long-horizon, then it is DOA for us. Hence, rewards must be immediate.
🏃🏻‍♂️ manus IMO had PMF b/c it's rev model was tied to generating cash via "token consumption"... it was extremely expensive to run and automate tasks via their services.
🏃🏻‍♂️ if we make openclaw as easy & safe to use as manus (that's a $1M arr in 6 months).
🏃🏻‍♂️ We should assume our user are power ai users; they're already paying $1k+/mo across AI tools — coding copilots, design tools, research assistants. They don't want another prompt surface. They don't want to manage OpenClaw locally. They don't care about tinkering with agents. Security, time, attention — all constraints… What they want is unfair advantage (e.g. cluley). We give customers a "24/7 compounding cognition".
🏃🏻‍♂️ i have to assume the bigger loot box is gmail and calendar… but it does require so much trust. Or even get access to maps history would be better than safari.

🏀 my (contrarian) bet: in 2026 consumers pay for transactional days-long tasks – rather than continuous in the background / cloud (as ghost).

🏀 *claw: paid tasks, information security, verified results.

but manus's product design and revenue model?
🏀 how so? meaning, already 10x valuable if we optimize manus 10%?
use safari browsing history instead via local file access
🏀 i thought about exactly this (existing footprints as intents) the whole day as you showed openai's pulse. nah – i write very little email and plan no calendar. maps will be mostly the same 10 places in a month.