Reddit blocks Muse's browser even after manual sign-in — RSS is the workaround
Reddit blocks Muse's cloud browser even after a manual sign-in, because the browser runs from a datacenter IP that Reddit rejects. The practical workaround is to read Reddit through RSS feeds and do any actual posting from a personal device, instead of fighting a login wall the agent cannot pass.
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Muse still treats Vancouver as UTC-8 in winter, so BC reminders fire an hour late
British Columbia stays on daylight saving time year-round (UTC-7), but Muse still applies the old rule and treats Vancouver as UTC-8 in winter, so every scheduled reminder fires one hour late. Stating the UTC offset explicitly inside the task works around the stale timezone data until Meta updates it.
Read the source →What custom Spaces are people actually using every day?
Users are sharing the custom Spaces they actually use daily: reading lists, recipe collections with a health rating per ingredient, video games, and makeup. The thread shows Spaces working best as living tools that stay updated, rather than one-off chats that go stale.
Read the source →How Muse helped real side work: LinkedIn automation brought 5 recruiter messages in 10 days
One user automated LinkedIn posting with Muse and received more than five recruiter messages within ten days, and started a faceless YouTube channel with Muse handling production. The thread collects concrete side-work wins from everyday Muse users, from paperwork automation to deadline tracking.
Read the source →Is Muse useless if you don't use it as an assistant?
A user asks whether Muse is useless outside assistant chores like appointments, paperwork, and email. The case for using it differently: treat it as a junior colleague that builds small apps and trackers, turns research into readable documents, and runs multi-step jobs in the background.
Read the source →Mac Studio 36GB as a local agent machine: Ollama for simple tasks, cloud for hard ones
A user with a new 36GB Mac Studio asks for a high-level local agent stack, currently running OpenClaw with a $500-per-month Codex plan on a Mac mini. The suggested split is Ollama locally for simple tasks and cloud models as the fallback for hard reasoning, keeping only a few quantized models on the 512GB drive.
Read the source →Cometly: AI attribution that ties ad spend to Stripe revenue, $197K MRR
Cometly stitches ad clicks, trials, and Stripe charges into one journey so B2B SaaS teams can see exactly which ads drive paying customers, with an AI chat layer for plain-English questions. It earns about $197,000 in monthly recurring revenue from roughly 280 customers at around $710 each, showing the AI-plus-one-measurable-money-pain pattern working at enterprise prices.
Read the source →Agent Berlin: an AI marketing engine at $396 MRR — and $0 in the last 30 days
Agent Berlin sells a one-stop AI marketing service for B2B teams, covering strategy, content, ads, and tracking in a single package run by one operator. Its verified revenue is only about $396 a month with zero verified revenue in the last 30 days, a cautionary example of an AI agency concept that has not yet proven steady paying demand.
Read the source →Clairvo: AI power dialer claims $1M ARR, built about 90% with Claude Code
Clairvo is an AI power dialer for call-heavy sales teams in trades like HVAC and plumbing, and its founder says it reached $1 million in annual recurring revenue. The figure is self-reported and unverified, concentrated in a few mid-market contracts, but the build story matters: about 90% of the product was written with Claude Code by a solo founder.
Read the source →Is there an AI that'll actually do stuff for you, not just chat?
An ops lead at a 38-person startup asks whether any AI actually does work instead of just answering questions. The thread is a good test case for what separates a chatbot from an agent: recurring follow-ups, tracking work between teams, and still doing the job correctly on day fourteen without supervision.
Read the source →Is the real cost of an automation the maintenance, not the build?
Building an automation feels productive, but the real bill arrives later when APIs change, fields get renamed, and triggers stop firing. The discussion asks where to draw the line — and which automations are better left manual even when they look easy on paper.
Read the source →How can coding agents remember architectural decisions across different development sessions?
Coding agents understand the current codebase but lose the reasoning behind earlier architectural decisions: why a technology was chosen, why an approach was avoided. The thread explores persistent memory layers and the simpler alternative of a decision log the agent reads at the start of every session.
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