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THIS GUY VIBE CODED A MAC APP THAT AUTOMATICALLY SETS FOLDER ICONS BASED ON THEIR NAMES every folder on your mac looks the same (all blue folders) you have to read every name to find what you're looking for this app reads the folder name and automatically assigns a...

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Om Patel

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79,744 views • 2 months ago •via X (Twitter)

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The people have spoken. Here's the Pukeko birb in action :) Here's the Icon assets and move it to your /icons folder of your choice, whether in vanilla or in a custom pack :)
0:26

The people have spoken. Here's the Pukeko birb in action :) Here's the Icon assets and move it to your /icons folder of your choice, whether in vanilla or in a custom pack :)

RetroAdvance64

54,722 views • 1 year ago

1. Go to humata(dot)ai and sign up for an account. Next, click on "Add folder" and choose a name for your folder. Then open this empty folder. Now drag and drop all the papers that you downloaded in this empty folder.
0:26

1. Go to humata(dot)ai and sign up for an account. Next, click on "Add folder" and choose a name for your folder. Then open this empty folder. Now drag and drop all the papers that you downloaded in this empty folder.

Mushtaq Bilal, PhD

27,371 views • 2 years ago

i keep telling people to build this and they nod politely and never do it... andrej karpathy posted how to fix this a while ago, and everyone just keeps working the old way the dumb thing is this... you pay to teach claude the same lessons over and over, every chat is a fresh amnesia patient, every contradiction it catches evaporates the second you close the tab, and you accept this like it's just how ai works 1. one folder is a graveyard for originals that nobody edits, another folder is claude's active memory that only claude writes to, a third folder is a two-page rulebook that keeps claude from confusing them 2. a raw file gets read the day it arrives and then it's done, claude never touches it again, everything it needed is already extracted into wiki pages with the source cited right there 3. every time claude notices your new answer clashes with your old one, it doesn't pick a side, it writes both with dates, and from then on it treats you like someone who might be wrong the raw folder is a museum... the wiki is the actual working brain full breakdown is in the article below
0:20

i keep telling people to build this and they nod politely and never do it... andrej karpathy posted how to fix this a while ago, and everyone just keeps working the old way the dumb thing is this... you pay to teach claude the same lessons over and over, every chat is a fresh amnesia patient, every contradiction it catches evaporates the second you close the tab, and you accept this like it's just how ai works 1. one folder is a graveyard for originals that nobody edits, another folder is claude's active memory that only claude writes to, a third folder is a two-page rulebook that keeps claude from confusing them 2. a raw file gets read the day it arrives and then it's done, claude never touches it again, everything it needed is already extracted into wiki pages with the source cited right there 3. every time claude notices your new answer clashes with your old one, it doesn't pick a side, it writes both with dates, and from then on it treats you like someone who might be wrong the raw folder is a museum... the wiki is the actual working brain full breakdown is in the article below

kai

31,409 views • 6 days ago

jihoon was trying to remember the name of kyu’s phone and junkyu just let him yap while laughing at him so cute 🐶that phone, right? it has a folding chair vibe 🐶im not kidding i can't remember the name all of a sudden. jet folder? jet? what was it? 🐶FOLDER JET! folder flip? flip flap? seriously what is it? its something like roly poly but what is it? 🐨jet fold 🐶HALF FOLD! bc it's folded in half! 🐨jet fold!! 🐶aaaaah
0:38

jihoon was trying to remember the name of kyu’s phone and junkyu just let him yap while laughing at him so cute 🐶that phone, right? it has a folding chair vibe 🐶im not kidding i can't remember the name all of a sudden. jet folder? jet? what was it? 🐶FOLDER JET! folder flip? flip flap? seriously what is it? its something like roly poly but what is it? 🐨jet fold 🐶HALF FOLD! bc it's folded in half! 🐨jet fold!! 🐶aaaaah

shan

21,281 views • 1 year ago

PAUL: "In the red folder on your table is a copy of Section 192 of Title 2 of the U.S. Code... That section makes it a CRIME for a witness... to REFUSE TO ANSWER ANY QUESTIONS... Do you have that in front of you?" FAUCI: "On the advice of counsel, I respectfully decline to answer, but based upon my rights under the Fifth Amendment of the Constitution." PAUL: "Let the record reflect that the witness has refused to answer whether there's a folder in front of him based on his Fifth Amendment right."
0:48

PAUL: "In the red folder on your table is a copy of Section 192 of Title 2 of the U.S. Code... That section makes it a CRIME for a witness... to REFUSE TO ANSWER ANY QUESTIONS... Do you have that in front of you?" FAUCI: "On the advice of counsel, I respectfully decline to answer, but based upon my rights under the Fifth Amendment of the Constitution." PAUL: "Let the record reflect that the witness has refused to answer whether there's a folder in front of him based on his Fifth Amendment right."

The Vigilant Fox 🦊

247,049 views • 10 days ago

"The biggest mistake is people thinking Goldman Sachs and Morgan Stanley have the answers. They don't." Jordi Visser (Jordi Visser) on the AI edge nobody is using. His method: "Every time Jensen Huang gives an interview, I take the YouTube transcript. I drop it in a folder on my computer." "Only thing in that folder: every Jensen Huang interview this year." "Then I go to Claude, hit co-work, connect the folder, and ask: which names has he basically told me to buy?" "You'll be shocked. You're getting seven-baggers all over the place." Translation: the alpha is no longer in proprietary data. It's public. The edge is using AI to process it faster than the analysts who got paid to read it. What other transcripts are you not putting through an LLM yet?
2:26

"The biggest mistake is people thinking Goldman Sachs and Morgan Stanley have the answers. They don't." Jordi Visser (Jordi Visser) on the AI edge nobody is using. His method: "Every time Jensen Huang gives an interview, I take the YouTube transcript. I drop it in a folder on my computer." "Only thing in that folder: every Jensen Huang interview this year." "Then I go to Claude, hit co-work, connect the folder, and ask: which names has he basically told me to buy?" "You'll be shocked. You're getting seven-baggers all over the place." Translation: the alpha is no longer in proprietary data. It's public. The edge is using AI to process it faster than the analysts who got paid to read it. What other transcripts are you not putting through an LLM yet?

Michaël van de Poppe

390,927 views • 2 months ago

The gap between a PM getting AI slop from Claude Code and one getting 10x output is about one hour of file structure. Three folders. > A knowledge folder with static context: who you work with, what each stakeholder cares about, reference material that rarely changes. > A projects folder where every task accumulates research, drafts, and artifacts that load instantly into your next session. > And a people folder that auto-updates from meeting transcripts through Granola's MCP. The people folder is the part that compounds. Build a skill that pulls what each person said in your last meeting, what they pushed back on, what they committed to. Now when you draft a message to your VP of Engineering, Claude Code already knows their communication preferences from 30 real conversations. That's context no prompt can replicate. Carl walked through this system on the episode and the compounding math stuck with me. Day 1, Claude Code knows nothing about your work. Day 30, it knows your stakeholders, your project history, your patterns. Day 90, it's surfacing connections across your work you haven't consciously noticed. Then layer on skills. A standup command that pulls from GitHub, Linear, your calendar, and your task folder in one shot. Website traffic compared against your LinkedIn posts this week. Analyses that would be impossible clicking between individual UIs, running before your first meeting. One hour of setup. Compounding returns every day after. The PMs typing prompts into a blank terminal and the PMs who built the operating system around it are already producing completely different categories of work. Build the operating system.
8:04

The gap between a PM getting AI slop from Claude Code and one getting 10x output is about one hour of file structure. Three folders. > A knowledge folder with static context: who you work with, what each stakeholder cares about, reference material that rarely changes. > A projects folder where every task accumulates research, drafts, and artifacts that load instantly into your next session. > And a people folder that auto-updates from meeting transcripts through Granola's MCP. The people folder is the part that compounds. Build a skill that pulls what each person said in your last meeting, what they pushed back on, what they committed to. Now when you draft a message to your VP of Engineering, Claude Code already knows their communication preferences from 30 real conversations. That's context no prompt can replicate. Carl walked through this system on the episode and the compounding math stuck with me. Day 1, Claude Code knows nothing about your work. Day 30, it knows your stakeholders, your project history, your patterns. Day 90, it's surfacing connections across your work you haven't consciously noticed. Then layer on skills. A standup command that pulls from GitHub, Linear, your calendar, and your task folder in one shot. Website traffic compared against your LinkedIn posts this week. Analyses that would be impossible clicking between individual UIs, running before your first meeting. One hour of setup. Compounding returns every day after. The PMs typing prompts into a blank terminal and the PMs who built the operating system around it are already producing completely different categories of work. Build the operating system.

Aakash Gupta

82,865 views • 4 months ago

Read 100 paywalled research papers for free every month! You don't even need a university account to do this. Here's how to read paywalled papers on JSTOR for free: 1. Go to jstor(dot)org and click on "Register" in the top-right corner. You can register with your personal Google or Outlook account. Or, you can create a JSTOR account manually. 2. Once you've logged in to your JSTOR account, click on "Workspace" in the menu bar. Then click on "Create folder." Choose a name for your folder and click on "Create."Creating folders in Workspace is a great way to keep your papers organized. 3. Type in the keywords in the search bar to find relevant papers. JSTOR willl give you a list of papers. To read a paper for free, click on "Read online." You will see a preview of the paper. Scroll down a bit and click on "Read Online" again. 4. If you find the paper super-relevant to your project, click on "Save" on the top of the article. Choose the folder you just created in your Workspace and save the paper in it. If you go to your Workspace, the paper will show up in the relevant folder. 5. You can also take notes on papers in your Workspace. To do so, click on the "Add Note" button under a paper and start typing. Click on "Save" to your save your note. 6. If you already have a paper and you want to related to it, you can use Text Analyzer. To do so, click on "Tools" and select "Text Analyzer." Upload the paper you have and JSTOR will give you a list of papers related to you original paper. 7. Text Analyzer also lets you callibrate your search parameters. Adjust the priority for different terms by moving the priority scale left or right. You can more related terms and adjust their priority. Text Analyzer will update the results accordingly. 8. If you find a paper interesting, simply click on it and then select "Read Online." 9. You can also add papers to your Zotero library. Open the paper you want to add and click on the Zotero Connector in the top-right corner of your browser. Choose the Zotero collection you want to save the paper in and click on "Done." The paper will show up in your Zotero. Found this post on JSTOR helpful? • Repost to share it with your friends and colleagues. •Follow me for more posts on academic writing.
3:14

Read 100 paywalled research papers for free every month! You don't even need a university account to do this. Here's how to read paywalled papers on JSTOR for free: 1. Go to jstor(dot)org and click on "Register" in the top-right corner. You can register with your personal Google or Outlook account. Or, you can create a JSTOR account manually. 2. Once you've logged in to your JSTOR account, click on "Workspace" in the menu bar. Then click on "Create folder." Choose a name for your folder and click on "Create."Creating folders in Workspace is a great way to keep your papers organized. 3. Type in the keywords in the search bar to find relevant papers. JSTOR willl give you a list of papers. To read a paper for free, click on "Read online." You will see a preview of the paper. Scroll down a bit and click on "Read Online" again. 4. If you find the paper super-relevant to your project, click on "Save" on the top of the article. Choose the folder you just created in your Workspace and save the paper in it. If you go to your Workspace, the paper will show up in the relevant folder. 5. You can also take notes on papers in your Workspace. To do so, click on the "Add Note" button under a paper and start typing. Click on "Save" to your save your note. 6. If you already have a paper and you want to related to it, you can use Text Analyzer. To do so, click on "Tools" and select "Text Analyzer." Upload the paper you have and JSTOR will give you a list of papers related to you original paper. 7. Text Analyzer also lets you callibrate your search parameters. Adjust the priority for different terms by moving the priority scale left or right. You can more related terms and adjust their priority. Text Analyzer will update the results accordingly. 8. If you find a paper interesting, simply click on it and then select "Read Online." 9. You can also add papers to your Zotero library. Open the paper you want to add and click on the Zotero Connector in the top-right corner of your browser. Choose the Zotero collection you want to save the paper in and click on "Done." The paper will show up in your Zotero. Found this post on JSTOR helpful? • Repost to share it with your friends and colleagues. •Follow me for more posts on academic writing.

Mushtaq Bilal, PhD

31,810 views • 2 years ago

I’m trying to re-texture my avatar in #EmoteLab it’s very cute! > Texture Cache > CoffeeBean > Custom Textures - Go back to EmoteLab and click Reload Textures. Method 2: Easier Way to Edit Textures Directly - Go to Settings → Open Character Folder. - Find the version you are using, then open your character folder. - Click Regions. - You will find the textures used by the character there. You can edit these textures directly as well. 💡Tip: I recommend editing the WeightTransfer folder first, then Click Unload Current Model and Load the model again to refresh the textures. Finally, You will get your own EmoteLab texture!!
1:22

I’m trying to re-texture my avatar in #EmoteLab it’s very cute! > Texture Cache > CoffeeBean > Custom Textures - Go back to EmoteLab and click Reload Textures. Method 2: Easier Way to Edit Textures Directly - Go to Settings → Open Character Folder. - Find the version you are using, then open your character folder. - Click Regions. - You will find the textures used by the character there. You can edit these textures directly as well. 💡Tip: I recommend editing the WeightTransfer folder first, then Click Unload Current Model and Load the model again to refresh the textures. Finally, You will get your own EmoteLab texture!!

B U N R I👾 @Live2D

22,335 views • 5 months ago

I just built an AI-powered creative search engine with Gemini Embedding 2 + Claude Code 🤯 Drop in your UGC clips, product shots, and ad variations — then search through everything in plain English. "Show me all the unboxing clips." "Find product shots with natural lighting." "Which creator talked about sensitive skin?" All inside Claude Code. Perfect for DTC brands and agencies sitting on hundreds of creative files they can never find when they actually need them. If you're digging through a folder of random file names, scrubbing through raw footage to find that one clip, and relying on memory to track down what's already been shot... This system eliminates the entire loop: → Drop your videos, images, and docs into a project folder → One prompt to Claude Code — it builds the entire search app for you → Google's new Gemini Embedding 2 model actually watches your videos and looks at your images → It understands what's inside each file — not just the file name → Search in plain English and get back the actual assets with confidence scores No scrolling through folders. No relying on file names to find anything. No re-shooting footage you already have. What you get: → A searchable library of every creative asset your brand has ever produced → Natural language search across video, images, and documents at the same time → Results that show the actual files inline — play videos, view images, read docs → A system that gets smarter every time you add richer descriptions to your assets One free API key. No monthly subscriptions. Runs on your machine. I put together a full playbook with the exact build prompt, the setup process, and DTC/agency use cases to get this running in under 30 minutes. Want the full playbook? > Like this post > Comment "SEARCH" And I'll send it over (must be following so I can DM)
0:22

I just built an AI-powered creative search engine with Gemini Embedding 2 + Claude Code 🤯 Drop in your UGC clips, product shots, and ad variations — then search through everything in plain English. "Show me all the unboxing clips." "Find product shots with natural lighting." "Which creator talked about sensitive skin?" All inside Claude Code. Perfect for DTC brands and agencies sitting on hundreds of creative files they can never find when they actually need them. If you're digging through a folder of random file names, scrubbing through raw footage to find that one clip, and relying on memory to track down what's already been shot... This system eliminates the entire loop: → Drop your videos, images, and docs into a project folder → One prompt to Claude Code — it builds the entire search app for you → Google's new Gemini Embedding 2 model actually watches your videos and looks at your images → It understands what's inside each file — not just the file name → Search in plain English and get back the actual assets with confidence scores No scrolling through folders. No relying on file names to find anything. No re-shooting footage you already have. What you get: → A searchable library of every creative asset your brand has ever produced → Natural language search across video, images, and documents at the same time → Results that show the actual files inline — play videos, view images, read docs → A system that gets smarter every time you add richer descriptions to your assets One free API key. No monthly subscriptions. Runs on your machine. I put together a full playbook with the exact build prompt, the setup process, and DTC/agency use cases to get this running in under 30 minutes. Want the full playbook? > Like this post > Comment "SEARCH" And I'll send it over (must be following so I can DM)

Mike Futia

12,262 views • 4 months ago

quick and easy tutorial for getting custom camos set up on HorizonMW you just need to create an images folder in your MWR directory, put the camo files (pngs) into it with the proper name formatting and you're good to go
2:33

quick and easy tutorial for getting custom camos set up on HorizonMW you just need to create an images folder in your MWR directory, put the camo files (pngs) into it with the proper name formatting and you're good to go

Mike - SoaR Rxqe

39,949 views • 1 year ago

Most people use Claude Code like a chatbot, then wonder why it forgets everything by Tuesday. The ones quietly building $10K AI workflows give it a second brain instead, and it’s free. It’s called Obsidian. You download it, point it at one folder on your computer, and that folder becomes a vault. Every note inside it is now something Claude Code can read end to end. Open Claude in that folder and it’s connected, that simple. The trick isn’t the tool, it’s the map. 3 folders, that’s the whole system. Raw, you dump everything here. Notes, transcripts, screenshots, half thoughts, zero structure. Wiki, Claude reads the raw pile and writes clean Wikipedia style articles about it, structured, searchable, permanent. Output, when you want a deliverable, a PDF, a slide deck, a script, it pulls from the wiki and ships it. Most people skip the wiki layer and feed Claude a junk drawer of 400 files, then blame the model when the answers are garbage. The model isn’t the problem, your folder is. Give it a path it can follow and it finds anything in 1 second, give it chaos and it guesses. You don’t even have to design the structure yourself. Open the vault, tell Claude to build a file system that fits your work, and watch it organize your entire brain in one prompt. Free tool, 3 folders, a second brain that compounds while you sleep. The people falling behind are still copy pasting into a chat window.
1:57

Most people use Claude Code like a chatbot, then wonder why it forgets everything by Tuesday. The ones quietly building $10K AI workflows give it a second brain instead, and it’s free. It’s called Obsidian. You download it, point it at one folder on your computer, and that folder becomes a vault. Every note inside it is now something Claude Code can read end to end. Open Claude in that folder and it’s connected, that simple. The trick isn’t the tool, it’s the map. 3 folders, that’s the whole system. Raw, you dump everything here. Notes, transcripts, screenshots, half thoughts, zero structure. Wiki, Claude reads the raw pile and writes clean Wikipedia style articles about it, structured, searchable, permanent. Output, when you want a deliverable, a PDF, a slide deck, a script, it pulls from the wiki and ships it. Most people skip the wiki layer and feed Claude a junk drawer of 400 files, then blame the model when the answers are garbage. The model isn’t the problem, your folder is. Give it a path it can follow and it finds anything in 1 second, give it chaos and it guesses. You don’t even have to design the structure yourself. Open the vault, tell Claude to build a file system that fits your work, and watch it organize your entire brain in one prompt. Free tool, 3 folders, a second brain that compounds while you sleep. The people falling behind are still copy pasting into a chat window.

West Lord

32,845 views • 1 month ago

Launching 'Folders and Connect'. Day 8 of 12 Days of Agent Two. Everywhere else, getting someone to work with you means buying them a seat on your plan. And once they're in, they can see everything you're making. Folders and Connect fixes both. You invite anyone - inside or outside your organization - into one folder, without adding seats to your plan, and that folder is all they see. The team on the sensitive IP film can't see the launch campaign, and vice versa. And collaborative work still happens seamlessly. Folders & Connect is live for everyone on Team and Enterprise plans. Agent Two is frontier intelligence for creative work. 4x faster, at half the price.
3:18

Launching 'Folders and Connect'. Day 8 of 12 Days of Agent Two. Everywhere else, getting someone to work with you means buying them a seat on your plan. And once they're in, they can see everything you're making. Folders and Connect fixes both. You invite anyone - inside or outside your organization - into one folder, without adding seats to your plan, and that folder is all they see. The team on the sensitive IP film can't see the launch campaign, and vice versa. And collaborative work still happens seamlessly. Folders & Connect is live for everyone on Team and Enterprise plans. Agent Two is frontier intelligence for creative work. 4x faster, at half the price.

Invideo

650,171 views • 2 days ago

iit's wild that this still isn't the default way people use AI. Andrew Ng, a co-founder of Google Brain, gave a talk that crossed 2 million views: stop feeding your AI a folder of notes, build it a graph it can actually think with. his point is simple, stop making your AI read the whole vault to answer one thing. give it a graph, a router that points, an index that scores, edges that link, and it walks straight to the answer. it compounds, cheaper and faster the more you add. here's the whole thing: > point Claude at your notes and have it write a tiny router, your CLAUDE.md > build an index, one line per note, so it always knows where an answer lives > keep each note to one idea, and link the ones that depend on each other > make retrieval run as code, so it scores and opens the right files before the model thinks > tell it to prove the graph beats a flat folder on speed and cost, then keep the index fresh on every write set it up once and your AI stops guessing. it already knows your world before you type a word. full 12-step guide below. bookmark this.
0:23

iit's wild that this still isn't the default way people use AI. Andrew Ng, a co-founder of Google Brain, gave a talk that crossed 2 million views: stop feeding your AI a folder of notes, build it a graph it can actually think with. his point is simple, stop making your AI read the whole vault to answer one thing. give it a graph, a router that points, an index that scores, edges that link, and it walks straight to the answer. it compounds, cheaper and faster the more you add. here's the whole thing: > point Claude at your notes and have it write a tiny router, your CLAUDE.md > build an index, one line per note, so it always knows where an answer lives > keep each note to one idea, and link the ones that depend on each other > make retrieval run as code, so it scores and opens the right files before the model thinks > tell it to prove the graph beats a flat folder on speed and cost, then keep the index fresh on every write set it up once and your AI stops guessing. it already knows your world before you type a word. full 12-step guide below. bookmark this.

KingWilliam

15,099 views • 15 days ago

🚨 JUST NOW: Sen. Paul informs Anthony Fauci that he's BREAKING THE LAW for by REFUSING to answer questions in this hearing PAUL: "In the red folder on your table is a copy of Section 192 of Title II of the US Code... That section makes it a CRIME for a witness appearing under subpoena to refuse to answer any questions pertinent to the question under inquiry. Do you have that in front of you?" FAUCI: *pleads the fifth* PAUL: "Let the record show that the witness has refused to answer whether there's a folder in front of him based on his Fifth Amendment right"
0:40

🚨 JUST NOW: Sen. Paul informs Anthony Fauci that he's BREAKING THE LAW for by REFUSING to answer questions in this hearing PAUL: "In the red folder on your table is a copy of Section 192 of Title II of the US Code... That section makes it a CRIME for a witness appearing under subpoena to refuse to answer any questions pertinent to the question under inquiry. Do you have that in front of you?" FAUCI: *pleads the fifth* PAUL: "Let the record show that the witness has refused to answer whether there's a folder in front of him based on his Fifth Amendment right"

Nick Sortor

947,312 views • 10 days ago

Introducing Wikiwise: an open-source Mac app for managing your own Karpathy-style LLM wiki. Set up a new wiki in a few clicks: all you need is Wikiwise + your agent. It's infinitely customizable, just markdown/html under the hood, and one click to share your wiki publicly. Here's how it works: * Install Wikiwise for mac (it's built in Swift so super minimal and performant). In Karpathy's framework, Wikiwise is your IDE. * Start a new Wiki: it generates a new folder on your machine that's scaffolded in the wiki structure Andrej Karpathy describes (index.md, raw folder, wiki folder, CLAUDE.md/AGENTS.md, although it tries to be as un-opinionated as possible). * Then just point your agent (Codex, Claude Code, Cursor, etc) at the folder and tell it what to import -- files on your machine, connect to your Readwise account, or urls from the web. * Your agent creates wthe wiki for you: Your agent will know how to ingest your raw sources (via the AGENTS.md) and will immediately start writing+linking wiki pages for you. * Go crazy on customization! The rendered wiki pages live as static html/css in your folder too so just tell your agent to change stuff, and if you need any more customization Wikiwise is fully open source :) * Ask questions about your research with your agent, ask it to bring in new sources, write new documents, etc. * (optionally) Hit the Publish button to share your wiki with friends/colleagues at a custom URL === I tried to walk the line on a couple constraints with Wikiwise: 1. I wanted it to be easy to spin up new wikis, especially without chaining together a bunch of different apps. It takes me a few minutes to spin up a new wiki on a topic -- I already have five! 2. Infinitely Customizable: one great aspect of building a wiki as Karpathy described is that you can modify any aspect of your wiki with your agent. Every new wiki styling+structure is self-contained in the local folder, which allows you to preserve this. Wikiwise is just an IDE that makes the setup easier and includes a nice un-opinionated starting state. 3. Minimal: Wikiwise is built mostly in Swift, and the DMG you install to download it is only 2.6MB (!) 4. Easy Publishing: my colleague Eleanor Konik has been building her own LLM wikis for months, but has always really struggled to actually share them with her book club. There are tools to do it, but figuring out hosting is always a huge headache. This seemed like an ideal usecase for a tool like Wikiwise to solve. The process of building wikiwise was also pretty interesting -- I "bootstrapped" the app in a way by first building my own wiki based on Karpathy's tweet and other notes I had, and slowly formed the shape of the project in collaboration with my LLM. This was all done in 3 days over the latest Readwise company hackathon we had. Truly an incredible time to be alive. Anyways, curious what you think! Links in next tweet.
3:10

Introducing Wikiwise: an open-source Mac app for managing your own Karpathy-style LLM wiki. Set up a new wiki in a few clicks: all you need is Wikiwise + your agent. It's infinitely customizable, just markdown/html under the hood, and one click to share your wiki publicly. Here's how it works: * Install Wikiwise for mac (it's built in Swift so super minimal and performant). In Karpathy's framework, Wikiwise is your IDE. * Start a new Wiki: it generates a new folder on your machine that's scaffolded in the wiki structure Andrej Karpathy describes (index.md, raw folder, wiki folder, CLAUDE.md/AGENTS.md, although it tries to be as un-opinionated as possible). * Then just point your agent (Codex, Claude Code, Cursor, etc) at the folder and tell it what to import -- files on your machine, connect to your Readwise account, or urls from the web. * Your agent creates wthe wiki for you: Your agent will know how to ingest your raw sources (via the AGENTS.md) and will immediately start writing+linking wiki pages for you. * Go crazy on customization! The rendered wiki pages live as static html/css in your folder too so just tell your agent to change stuff, and if you need any more customization Wikiwise is fully open source :) * Ask questions about your research with your agent, ask it to bring in new sources, write new documents, etc. * (optionally) Hit the Publish button to share your wiki with friends/colleagues at a custom URL === I tried to walk the line on a couple constraints with Wikiwise: 1. I wanted it to be easy to spin up new wikis, especially without chaining together a bunch of different apps. It takes me a few minutes to spin up a new wiki on a topic -- I already have five! 2. Infinitely Customizable: one great aspect of building a wiki as Karpathy described is that you can modify any aspect of your wiki with your agent. Every new wiki styling+structure is self-contained in the local folder, which allows you to preserve this. Wikiwise is just an IDE that makes the setup easier and includes a nice un-opinionated starting state. 3. Minimal: Wikiwise is built mostly in Swift, and the DMG you install to download it is only 2.6MB (!) 4. Easy Publishing: my colleague Eleanor Konik has been building her own LLM wikis for months, but has always really struggled to actually share them with her book club. There are tools to do it, but figuring out hosting is always a huge headache. This seemed like an ideal usecase for a tool like Wikiwise to solve. The process of building wikiwise was also pretty interesting -- I "bootstrapped" the app in a way by first building my own wiki based on Karpathy's tweet and other notes I had, and slowly formed the shape of the project in collaboration with my LLM. This was all done in 3 days over the latest Readwise company hackathon we had. Truly an incredible time to be alive. Anyways, curious what you think! Links in next tweet.

Tristan

96,054 views • 3 months ago

I made a minimalistic GIF creator windows app. Drop a folder containing an image sequence and press a button. That's it. It will even crop out all the empty pixels seamlessly. This is the same as ezgif, but runs offline on your PC. I'll be including it with AmaView on Steam.
0:43

I made a minimalistic GIF creator windows app. Drop a folder containing an image sequence and press a button. That's it. It will even crop out all the empty pixels seamlessly. This is the same as ezgif, but runs offline on your PC. I'll be including it with AmaView on Steam.

Amarillo

10,185 views • 1 year ago

> downloaded Claude Code > thought it was just another AI chatbot > opened it up > found a chat bar > typed a prompt > nothing happened to my files > realized the difference > browser AI waits for you to bring your files > Claude Code goes into your folder > all 45 PDFs > all the transcripts > all the messy Excel sheets > reads them all > remembers them session after session > you never re-explain your project again > so before your next literature review, do this: > create a folder with all your papers > open it in Claude Code > write a CLAUDEmd with your role, field, and writing style > ask it to screen every PDF using your inclusion/exclusion criteria > let it rename, extract, and summarize while you think > the AI didn't replace your scholarship > it eliminated the 6 hours of grunt work before it starts
3:03:53

> downloaded Claude Code > thought it was just another AI chatbot > opened it up > found a chat bar > typed a prompt > nothing happened to my files > realized the difference > browser AI waits for you to bring your files > Claude Code goes into your folder > all 45 PDFs > all the transcripts > all the messy Excel sheets > reads them all > remembers them session after session > you never re-explain your project again > so before your next literature review, do this: > create a folder with all your papers > open it in Claude Code > write a CLAUDEmd with your role, field, and writing style > ask it to screen every PDF using your inclusion/exclusion criteria > let it rename, extract, and summarize while you think > the AI didn't replace your scholarship > it eliminated the 6 hours of grunt work before it starts

Blum

16,187 views • 3 months ago