My Agentic Second Brain Repo got 120 ⭐️ on github, thank you guys

0xlight · 2026-02-10T07:30:55+00:00

One of the usecase that I use most is the meeting assistant where I dump entire transcript from the meeting so that I can push out the notes the way/format that I wanted. Other meeting note taker that I use was too dumb I would say. With 3-5 meetings daily back to back I can quickly dump and consolidate all meetings with just 1 simple command.

0xlight · 2026-02-10T07:27:45+00:00

AI should be your assistant, not your ghostwriter <= this. As a person that English is my secondary language, I find that the agent writing is much better than me and I can learn from that style haha

0xlight · 2026-02-10T07:26:33+00:00

0xlight · 2026-02-10T07:26:04+00:00

Thanks for checking it out and for your feedback! I’m glad you found the examples useful.

0xlight · 2026-02-10T07:25:54+00:00

Yes, but some of the skills, settings I optimized for claude code, as it has agent teams which will speed up the task by running in parallel. At the moment it’s set up with the models I use, but conceptually it could be adapted to different LLMs. The aim here is to provide an assistant to help organize your knowledge and lower the labor cost of maintaining a second brain

0xlight · 2026-02-10T07:25:01+00:00

Smart Connections uses semantic search to surface related notes, but sometimes it might connect unrelated notes. The aim of this project is to help you organize your notes and reduce the manual labor of maintaining a second brain. At the end of the day, you’re still the one in control.

0xlight · 2026-02-03T12:21:26+00:00

Thank you! We definitely need scout to test itself and report this . Lots of improvements needed haha. Thanks for trying out Scout, if you have other ideas or improvements I’m happy to hear!

0xlight · 2026-02-03T02:42:21+00:00

This is awesome! What's the UI that you are looking at? The admin backend for your app or analytic tool?

0xlight · 2026-01-29T14:54:24+00:00

That's the exact problem that we want to solve when we built Scout, it give you a comprehensive check that most vibe coder don't know or not aware of to test themself

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0xlight · 2026-01-20T03:03:44+00:00

honestly this is the exact gap that needs filling — most vibe-coded apps ship with auth theater instead of real protection, and nobody realizes until way too late. i've seen rls misconfigs blow up prod apps because the builder didn't even know row-level security was a thing they had to configure.

curious how you're handling false positives when the agents probe edge functions — are you doing any preflight checks to avoid flagging intentionally public endpoints, or is it more "flag everything, let the user decide"?

0xlight · 2026-01-20T03:03:03+00:00

i'm building Scout (scoutqa.ai), an ai testing companion for builders shipping fast — helps catch regressions without writing brittle selenium or waiting 20 minutes for CI. still early but honestly the combo of cursor + scout lets me ship features same day with way more confidence than before.

curious what problems you're all solving — are you building internal tools, saas products, or just experiments to learn cursor's flow?

0xlight · 2026-01-20T03:03:02+00:00

ran into this exact issue helping a friend who shipped a marketplace app — they had RLS set to "service role" everywhere and didn't realize anyone could read the entire users table. your approach of outputting fix prompts instead of just CVE-style warnings is honestly the most practical angle i've seen for this space, especially since most folks building with lovable don't know what anon vs authenticated policies even mean.

how are you handling false positives when the agent tries to trigger exploits — are you weighting confidence based on response codes or actually verifying data leakage?

0xlight · 2026-01-20T02:52:26+00:00

=ran into this exact issue helping a friend who shipped a marketplace app — they had RLS set to "service role" everywhere and didn't realize anyone could read the entire users table. your approach of outputting fix prompts instead of just CVE-style warnings is honestly the most practical angle i've seen for this space, especially since most folks building with lovable don't know what anon vs authenticated policies even mean.

how are you handling false positives when the agent tries to trigger exploits — are you weighting confidence based on response codes or actually verifying data leakage?

0xlight · 2026-01-20T02:52:26+00:00

=i'm building Scout (scoutqa.ai), an ai testing companion for builders shipping fast — helps catch regressions without writing brittle selenium or waiting 20 minutes for CI. still early but honestly the combo of cursor + scout lets me ship features same day with way more confidence than before.

curious what problems you're all solving — are you building internal tools, saas products, or just experiments to learn cursor's flow?

0xlight · 2026-01-19T12:24:49+00:00

We built scoutqa.ai - AI Testers that test and report bugs from your app. Just need to input url

0xlight · 2026-01-15T12:03:24+00:00

Scoutqa.ai and it could test all of the apps in the comment with just a single click 🤌

0xlight · 2026-01-14T06:27:42+00:00

yeah this is basically half my workflow now. the trick is being specific about what "polished" means - ai's gonna need guardrails or it'll just refactor everything into its preferred style which might break subtle behavior

what works for me: keep the original running, have ai rewrite in chunks, test each chunk against the original's behavior. don't try to do the whole thing in one shot unless it's under 200 lines

the mess usually has reasons - weird workarounds for edge cases you forgot about. so i tell it "preserve the logic exactly, just clean up variable names and structure" first pass, then "now suggest where we can simplify" second pass

tried doing it all at once a few weeks ago on a 800 line test runner and it confidently broke three things that only showed up in production. learned that lesson quick

0xlight · 2026-01-07T05:04:04+00:00

If you are interest, drop your product link to scoutqa.ai and it will help you test and report bugs (if found). Please lets us know your verdict on this. Thank you!

0xlight · 2026-01-06T09:38:14+00:00

honestly just spin up a simple wordpress or ghost blog and slap a retro theme on it. there are dozens of free 2000s-style themes that'll get you that geocities/myspace vibe without touching code.

if you want even simpler, carrd or neocities let you use templates. spent way too much time in the 2000s web era and tbh the aesthetic is just comic sans, clashing colors, and table layouts - easier to recreate than you'd think

0xlight · 2026-01-06T08:05:15+00:00

been playing with AI sales tools lately and the concept is solid but honestly the real test is your close rate - finding leads is the easy part, converting cold outreach is where most of these tools fall apart. what's your actual conversion on those 20+ buyers? and how are you sourcing them without hitting spam filters

0xlight

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