Travo just hit 700 Google clicks/month from programmatic SEO.
Lesson: stop building 1 perfect landing page. Build 500 useful ones from a template and let Google sort them.
i was tired of watching 5-minute Looms at 2x just to find out what the bug was
so Claude does it now. paste the link, it transcribes locally with whisper, reads the transcript, goes straight to fixing. feels like cheating honestly
link in the comments:
an agent overwrote one of my wiki pages with a placeholder yesterday.
no read_page in that session. just write_page. original content gone.
so i built page history into meshnote.
every write now auto-saves the previous version. agents can list_page_history and restore_page to undo the damage. no setup, no config. works on existing wikis from the first overwrite.
if you're letting LLMs write to your knowledge base, you need a safety net.
this is it.
if you've ever opened claude code and thought "I wish this thing remembered what we figured out last week" you've already understood the core problem with LLM workflows.
the agent is brilliant for 20 minutes and amnesiac forever after.
spent the last few months building the fix. plain markdown files on disk, your agent maintains them across every conversation. no RAG, no vectors, no cloud.
npx meshnote init ./brain
https://t.co/4H3bO3pSeu
every time I watch a serious LLM user work, they end up building the same thing: a folder of markdown files and a claude md telling the AI how to maintain it.
karpathy did it. I did it twice. probably you too.
got tired of rebuilding it so I made it a product. meshnote.
congrats on the year of work, that shows in the demo. and yeah, hatch and meshnote are clearly aiming at different shapes of this — hatch as a full workspace, meshnote as the thin layer for people who already live in their terminal and editor.
different audiences, same karpathy gravity well. good week to be in this category
follow up to yesterday's post:
the second thing every serious LLM user builds is a cleanup script. because two weeks in, your wiki is full of duplicate facts and the agent starts contradicting itself.
someone in the replies called it the "cleanup loop." best name I've heard for it.
nobody talks about this part. but it's the thing that makes or breaks whether the second brain actually works.
the whole loop:
npx meshnote init ./research
drop a paper in. tell claude "ingest this." come back to a summary, author pages, concept pages, all wikilinked into stuff you ingested last week.
no UI. no tags. you just read.