ashvath
216 posts

ashvath
@xskvth
window sweeper @usemoss | ex-dishwasher @trynebula_ai | uc berkeley dropout
San Francisco, CA Katılım Mayıs 2025
105 Takip Edilen111 Takipçiler

It's 8am. Slack pings. My agent has read everything I clipped yesterday and sends me a digest of what's worth my attention. Later, when I open Claude Code to start a new project, it surfaces the saved articles that are actually relevant to what I'm building.
Here's how I built "ab-brain"..
The problem
Like most people, I read a lot online. X, LinkedIn, Substack, tutorials, research threads. I bookmark them across phone, tablet and laptop, then never go back. Amazing articles from amazing people just rotting in bookmark folders. Felt like a shame not to fold that into my actual dev work and learning.
So I built a pipeline.
Capture: Obsidian Web Clipper on mobile turns any page into markdown and drops it into my @obsdmd vault. The vault lives in iCloud Drive, so I skip Obsidian Sync fees and get free cross-device replication.
Sync: A launchd agent on my Mac (macOS's systemd) triggers rclone on an interval. rclone is rsync for cloud storage, keeping the iCloud vault in sync with a DigitalOcean VM.
Provisioning: The @digitalocean droplet is spun up by Argus, the provisioning tool I've been posting about in the last few weeks.
Classification: On the VM, a systemd file watcher picks up new notes, dissects and analyses them, runs searches to enrich sparse link-only notes, tags them, and indexes into @usemoss for semantic search. Every change is committed to a local git repo so I can revert anything.
Runtime: Hermes agent runtime @NousResearch. Been a solid experience.
Consumption: I DM the agent on Slack ("summarise Hermes agent notes that came in this week"). An 8am cron sends me a morning digest. On the Mac, a Claude Code skill pulls relevant saved notes into my coding sessions, so the agent I code with actually learns from everything I've been reading.
Building similar workflows? Happy to chat.
For deep engineering and technical storytelling, visit diabhey.com
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Added a new pre-seed YC company, @usemoss to Plushcap: plushcap.com/moss. H/t to @diabhey for telling me about them. They’re working on pushing down the latency threshold on retrieval which is a blocker for conversational agents, especially Voice AI agents 🧵

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I went to a conference with no booth and booked 6 next calls
brought a putter and a hole:
- if they won = free lulu merch
- if they lost = tell me about their sales process
as @ycombinator says, do things that don’t scale
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Apple's at it again... 💀
I just downloaded the massive 18.4GB iOS 26.4 update on my iPhone 17 Pro Max, and it’s been stuck in a bootloop for the last 2 hours.
All that for some new emojis and "stability"? Honestly, wtf Apple 😭
#iOS26 #Apple #iPhone17ProMax

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@usemoss we’re hosting a meetup at SF tomorrow evening.
skipping the panels and the pitch deck- just drinks and good conversations with other builders.
luma.com/ha2xhx18
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joined @usemoss recently and we immediately went full send 😭
we open sourced moss yesterday
coming into OSS with:
• 1,000+ users
• 80k+ downloads
> swag for first 100 merged PRs
> inviting contributors to our SF office 👀
come try / break it → github.com/usemoss/moss
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@trq212 @rowans_planet would there eventually be a feature to talk handsfree? it would also be rlly cool to talk to Claude when planning
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your claude code’s context could be 100x better and look like this
William Zhang@phytalia
but can it do this
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@FurqanR what if Nebula uses Nebula for context management?
trynebula.ai
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This is why I’m working on Nebula.
You don’t need to spend time on configuring and maintaining the system.
Tell your agents what you need to do, everything else should manage itself.
Chrys Bader@chrysb
how do you guys back up your @openclaw cron? i'm just committing cron.json to git seems like a design flaw to have runtime state mixed with job definitions, but maybe i am missing something @steipete?
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