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You don't need to know how to code to turn a messy spreadsheet into something you can actually use. I had an Excel file of 20 brands I want to pitch. I dropped it in a folder, opened Qoder, and typed one sentence: turn this into a dashboard with... search. Then I watched. It read the file, made a plan, wrote the code, opened the page in the browser, and tested the search on its own. I added a /goal so it knew when it was done: every brand shows, search works. The model: Qwen3.8-Flash, free through September 30. Zero Credits for this whole run. Want to try it? Enter my code BPU7C6 at first, then download Qoder and sign in. You will get 600 Credits: 300 from the trial and 300 from my code.show more

Jay

158,858 subscribers

143,443 görüntüleme • 1 ay önce •via X (Twitter)

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Jay profil fotoğrafı

Jay1 ay önce

Sign up first here: Then download:

Bruce Langston profil fotoğrafı

Bruce Langston1 ay önce

Imagine doing this without opening a code editor.

Adam profil fotoğrafı

Adam1 ay önce

For everyday data work, this looks genuinely practical.

Sanchoy Hossain profil fotoğrafı

Sanchoy Hossain1 ay önce

A clear end goal makes the whole process cleaner.

Arthur Collins profil fotoğrafı

Arthur Collins1 ay önce

What stands out is how little manual work remains.

Sheikh Mahfuz profil fotoğrafı

Sheikh Mahfuz1 ay önce

That jump from spreadsheet to usable product is impressive.

Alex Moore profil fotoğrafı

Alex Moore1 ay önce

One file, one prompt, and suddenly you have a dashboard.

Nolan Carter profil fotoğrafı

Nolan Carter1 ay önce

For non-coders, workflows like this can be a game changer.

Milton Graves profil fotoğrafı

Milton Graves1 ay önce

Search, dashboard, testing—all handled from one instruction.

Ryan | AI & Tech profil fotoğrafı

Ryan | AI & Tech1 ay önce

Once AI can verify the result, the workflow gets much stronger.

Amelia Fiorini profil fotoğrafı

Amelia Fiorini1 ay önce

No coding background, yet a functional tool comes out.

May 🎀 profil fotoğrafı

May 🎀1 ay önce

Seeing the agent test its own work is impressive.

Allen Braden profil fotoğrafı

Allen Braden1 ay önce

Small internal tools suddenly feel much easier to build.

Salma ✨ profil fotoğrafı

Salma ✨1 ay önce

Being able to iterate without touching the code is huge.

Abu siddik profil fotoğrafı

Abu siddik1 ay önce

Raw Excel data becoming interactive is a useful shift.

Patrick Lawson profil fotoğrafı

Patrick Lawson1 ay önce

A messy spreadsheet has never looked this useful.

Maya profil fotoğrafı

Maya1 ay önce

A few words can now replace a lot of development work.

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Your Downloads folder is probably a mess. Mine was. I opened Qoder, picked the folder, and typed one sentence: sort everything by type, move only, never delete. It looked through the files, made a plan, asked me before each move, then wrote a report of what went where. I set a /goal so it knew when it was done: no loose files, nothing deleted. Qwen3.8-Flash is free through September 30, so this cost me zero Credits. Try it: Enter my code AKMSNL at first, then download Qoder and sign in. You will get 600 Credits: 300 from the trial and 300 from my code.

Your Downloads folder is probably a mess. Mine was. I opened Qoder, picked the folder, and typed one sentence: sort everything by type, move only, never delete. It looked through the files, made a plan, asked me before each move, then wrote a report of what went where. I set a /goal so it knew when it was done: no loose files, nothing deleted. Qwen3.8-Flash is free through September 30, so this cost me zero Credits. Try it: Enter my code AKMSNL at first, then download Qoder and sign in. You will get 600 Credits: 300 from the trial and 300 from my code.

Alex Moore

132,819 görüntüleme • 1 ay önce

Be honest. How much of your "AI workflow" is just you copy-pasting? Ask the chat for code → paste it into an editor → hit an error → paste the error back → repeat. At some point you stop using AI and start working for it 😅 So I tried something different. In Qoder I didn't chat, I handed it a task: "[your prompt, e.g. build a landing page for my newsletter]" I used /goal to spell out what "done" means: [e.g. page loads, signup form works on mobile]. Then I watched it plan, create the files, run everything, and check its own work. [One honest line about what you noticed, e.g. "It caught a broken button before I did."] I didn't copy-paste once. The whole run is in the video 👇 Bonus: Qwen 3.8 Flash is free through September 30 ([0.0x] Credits on the day I recorded). Sign up first using this link at before you download. You will get 600 Credits: 300 from the trial and 300 from my code.

Be honest. How much of your "AI workflow" is just you copy-pasting? Ask the chat for code → paste it into an editor → hit an error → paste the error back → repeat. At some point you stop using AI and start working for it 😅 So I tried something different. In Qoder I didn't chat, I handed it a task: "[your prompt, e.g. build a landing page for my newsletter]" I used /goal to spell out what "done" means: [e.g. page loads, signup form works on mobile]. Then I watched it plan, create the files, run everything, and check its own work. [One honest line about what you noticed, e.g. "It caught a broken button before I did."] I didn't copy-paste once. The whole run is in the video 👇 Bonus: Qwen 3.8 Flash is free through September 30 ([0.0x] Credits on the day I recorded). Sign up first using this link at before you download. You will get 600 Credits: 300 from the trial and 300 from my code.

Alamin

138,948 görüntüleme • 1 ay önce

I’ve been testing Qoder, and the biggest difference I noticed is that it feels less like asking an AI to write code and more like handing an AI agent an actual task. I started from Qoder’s new task screen, described the outcome I wanted, selected my workspace, model, and permissions, then let it run. What I could actually watch: = Qoder planning the task = Reading the project context = Executing commands and making file changes = Working through the steps instead of stopping at an answer = Verifying the result at the end The interesting part is that I can still watch the process, adjust the direction, pause it, or take over when needed. I also tested Qwen3.8-Flash, which is currently showing 0.0x Credits - meaning it’s free for all users through September 30. New users can get: - 300 Credits from the 14-day Pro trial - 300 additional Credits with my creator code Enter C46T6F here first: Then download Qoder: My first impression: the real value isn’t just generating code, it’s giving the agent an outcome and letting it actually work toward a verified result.

I’ve been testing Qoder, and the biggest difference I noticed is that it feels less like asking an AI to write code and more like handing an AI agent an actual task. I started from Qoder’s new task screen, described the outcome I wanted, selected my workspace, model, and permissions, then let it run. What I could actually watch: = Qoder planning the task = Reading the project context = Executing commands and making file changes = Working through the steps instead of stopping at an answer = Verifying the result at the end The interesting part is that I can still watch the process, adjust the direction, pause it, or take over when needed. I also tested Qwen3.8-Flash, which is currently showing 0.0x Credits - meaning it’s free for all users through September 30. New users can get: - 300 Credits from the 14-day Pro trial - 300 additional Credits with my creator code Enter C46T6F here first: Then download Qoder: My first impression: the real value isn’t just generating code, it’s giving the agent an outcome and letting it actually work toward a verified result.

Ethan Cole AI

251,655 görüntüleme • 1 ay önce

I gave Qoder a task instead of a prompt. And it actually did the work. It read the context, made a plan, used the tools it needed, executed the task, and verified the result before finishing. That’s the big difference with Qoder. It feels less like chatting with AI and more like handing a task to an AI agent on your computer. You describe the outcome you want. Qoder can then: • Read your workspace and context • Plan how to complete the task • Execute commands and make file changes • Use the browser or desktop when needed • Let you pause, adjust, or take over • Verify the result when it’s done And right now, Qwen3.8-Flash runs at 0.0x Credits through September 30. New users can also get 600 Credits in total. Try Qoder here: If you already use AI for coding or everyday computer work, this is worth experimenting with.

I gave Qoder a task instead of a prompt. And it actually did the work. It read the context, made a plan, used the tools it needed, executed the task, and verified the result before finishing. That’s the big difference with Qoder. It feels less like chatting with AI and more like handing a task to an AI agent on your computer. You describe the outcome you want. Qoder can then: • Read your workspace and context • Plan how to complete the task • Execute commands and make file changes • Use the browser or desktop when needed • Let you pause, adjust, or take over • Verify the result when it’s done And right now, Qwen3.8-Flash runs at 0.0x Credits through September 30. New users can also get 600 Credits in total. Try Qoder here: If you already use AI for coding or everyday computer work, this is worth experimenting with.

Shushant Lakhyani

143,473 görüntüleme • 1 ay önce

Created a new task with Qoder: gave it one of my own talk recordings and its transcript, and asked it to find the five most clippable moments, caption them, and cut them with ffmpeg. This is the whole run (check the video 😏) • Qoder is a desktop app where you hand work over as a task rather than chatting about it. • You describe the outcome, pick a model, set permissions, and then watch it plan, run commands, and touch files. You can pause it or take over at any point. • The model picker is worth a look on its own. You choose per task or leave it on Auto, and Qwen3.8-Flash is running at 0.0x through September 30, so you can work through real tasks at zero Credits right now. 🪙 14-day Pro trial gets you 300 Credits. My code gets you another 300. 🔗 Enter AD23XU at first, then download and sign in. [1/2] ↓ #ad

Created a new task with Qoder: gave it one of my own talk recordings and its transcript, and asked it to find the five most clippable moments, caption them, and cut them with ffmpeg. This is the whole run (check the video 😏) • Qoder is a desktop app where you hand work over as a task rather than chatting about it. • You describe the outcome, pick a model, set permissions, and then watch it plan, run commands, and touch files. You can pause it or take over at any point. • The model picker is worth a look on its own. You choose per task or leave it on Auto, and Qwen3.8-Flash is running at 0.0x through September 30, so you can work through real tasks at zero Credits right now. 🪙 14-day Pro trial gets you 300 Credits. My code gets you another 300. 🔗 Enter AD23XU at first, then download and sign in. [1/2] ↓ #ad

Eleftheria Batsou

149,385 görüntüleme • 1 ay önce

I wanted to see if Qoder could turn a real World Development Indicators CSV into something verifiable, not just a pretty summary. I opened a new task, selected the QoderCSVReport workspace, left the model on Auto, set permissions, and gave Qoder the CSV. The file had 1,045 rows, 14 columns, and ten years of data from 2016 to 2025. Qoder validated the file, treated .. as null instead of zero, transformed the wide table into a country-year-series dataset, and measured coverage and missing rates. It then generated summary.json, report.md, dashboard.html, README.md, and a verification script. The verifier independently re-read the CSV and checked the totals, country count, Series count, yearly missing rates, and the highest and lowest values against the report and dashboard. That last step is what made it useful. The output was not just a chat answer. It was a real artifact I could inspect and verify. The dashboard includes KPI cards, yearly missing-rate charts, Series coverage rankings, country coverage, and filters for Country and Series. It is responsive on desktop and mobile and uses no external CDN assets. The generated files are all in English. I used Auto for this run. Qwen3.8-Flash was available in the model picker at 0.0x Credits through September 30, so that option was free during the offer. Try Qoder → You’ll get 600 Credits total: 300 from the trial + 300 from my code.

I wanted to see if Qoder could turn a real World Development Indicators CSV into something verifiable, not just a pretty summary. I opened a new task, selected the QoderCSVReport workspace, left the model on Auto, set permissions, and gave Qoder the CSV. The file had 1,045 rows, 14 columns, and ten years of data from 2016 to 2025. Qoder validated the file, treated .. as null instead of zero, transformed the wide table into a country-year-series dataset, and measured coverage and missing rates. It then generated summary.json, report.md, dashboard.html, README.md, and a verification script. The verifier independently re-read the CSV and checked the totals, country count, Series count, yearly missing rates, and the highest and lowest values against the report and dashboard. That last step is what made it useful. The output was not just a chat answer. It was a real artifact I could inspect and verify. The dashboard includes KPI cards, yearly missing-rate charts, Series coverage rankings, country coverage, and filters for Country and Series. It is responsive on desktop and mobile and uses no external CDN assets. The generated files are all in English. I used Auto for this run. Qwen3.8-Flash was available in the model picker at 0.0x Credits through September 30, so that option was free during the offer. Try Qoder → You’ll get 600 Credits total: 300 from the trial + 300 from my code.

AI StackLab

188,759 görüntüleme • 1 ay önce

Competitor tracking is one of those tasks that's easy to skip because it's slow. I tested automating it with Qoder. The goal was simple: every week, research what changed across competitors and produce a report I could actually review. Qoder planned the research, checked public updates, ran tasks in parallel, and compiled everything into a structured Markdown report with sources and caveats where evidence was limited. The workflow went from manual to: schedule → research → verify → analyze → report. I also ran Qwen3.8-Flash on it, which is showing 0.0x Credits through September 30. Qoder has a 14-day Pro trial with 300 Credits. Sign up before downloading through this link and you get another 300 — 600 Credits total: The interesting part isn't just the research. It's having an AI agent turn a recurring task into a finished artifact automatically.

Competitor tracking is one of those tasks that's easy to skip because it's slow. I tested automating it with Qoder. The goal was simple: every week, research what changed across competitors and produce a report I could actually review. Qoder planned the research, checked public updates, ran tasks in parallel, and compiled everything into a structured Markdown report with sources and caveats where evidence was limited. The workflow went from manual to: schedule → research → verify → analyze → report. I also ran Qwen3.8-Flash on it, which is showing 0.0x Credits through September 30. Qoder has a 14-day Pro trial with 300 Credits. Sign up before downloading through this link and you get another 300 — 600 Credits total: The interesting part isn't just the research. It's having an AI agent turn a recurring task into a finished artifact automatically.

Shruti

142,698 görüntüleme • 1 ay önce

In Cursor you can *easily* turn comments into code. Just write in natural language what you want in your file. Then highlight it, use CMD+K, and ask the AI to translate it into code - and it will! Turn your thoughts right into apps.

In Cursor you can easily turn comments into code. Just write in natural language what you want in your file. Then highlight it, use CMD+K, and ask the AI to translate it into code - and it will! Turn your thoughts right into apps.

Mckay Wrigley

106,485 görüntüleme • 2 yıl önce

I wanted to see if an AI agent could take one goal all the way to a finished artifact. I gave Qoder a weekly competitor-tracking task. I started on the task screen, selected my workspace, left the model on Auto, set permissions, and sent the outcome instead of a step-by-step prompt. Qoder read the context and began planning. Rather than one generic research pass, it ran subagents for Cursor, Windsurf and GitHub Copilot in parallel. I watched them check public updates and bring their findings back into the main task. The work was visible: planning, tool calls, terminal commands, file changes and progress updates. It did not feel like another chat answer. It felt like watching a task move through an actual workflow. The final artifact was competitor-weekly-2026-09-22.md It summarized the week's highlights and included sources and caveats, including where public evidence was limited. That made the output reviewable: I could check the sources, question the conclusions, and decide what to do next. That is the part I care about. Qoder is a desktop AI agent you can hand an outcome as a task. It reads context, plans, uses tools, executes and verifies. You can watch, adjust, pause or take over. One goal → planning → parallel research → terminal work → verified Markdown report. In the model picker, Qwen3.8-Flash was showing 0.0x Credits through September 30, so that option was available at zero cost during the offer. If you want to try it, Qoder has a 14-day Pro trial with 300 Credits. Sign up first using this link at before you download. That adds another 300 Credits, for 600 total.

I wanted to see if an AI agent could take one goal all the way to a finished artifact. I gave Qoder a weekly competitor-tracking task. I started on the task screen, selected my workspace, left the model on Auto, set permissions, and sent the outcome instead of a step-by-step prompt. Qoder read the context and began planning. Rather than one generic research pass, it ran subagents for Cursor, Windsurf and GitHub Copilot in parallel. I watched them check public updates and bring their findings back into the main task. The work was visible: planning, tool calls, terminal commands, file changes and progress updates. It did not feel like another chat answer. It felt like watching a task move through an actual workflow. The final artifact was competitor-weekly-2026-09-22.md It summarized the week's highlights and included sources and caveats, including where public evidence was limited. That made the output reviewable: I could check the sources, question the conclusions, and decide what to do next. That is the part I care about. Qoder is a desktop AI agent you can hand an outcome as a task. It reads context, plans, uses tools, executes and verifies. You can watch, adjust, pause or take over. One goal → planning → parallel research → terminal work → verified Markdown report. In the model picker, Qwen3.8-Flash was showing 0.0x Credits through September 30, so that option was available at zero cost during the offer. If you want to try it, Qoder has a 14-day Pro trial with 300 Credits. Sign up first using this link at before you download. That adds another 300 Credits, for 600 total.

Nelly;

160,608 görüntüleme • 1 ay önce

here’s my entry for the #GAMDOM50KCHALLENGE i wanted to put a few things i knew Steve Will Do It and CODE steve ON GAMDOM would appreciate into one piece and turn it into a banger ‣ rick & morty-fied steve, adukes & yungreal ‣ added a zero coke & runescape because i know you love it ‣ made the roobet kangaroo the villain because i know you don’t fw the two haha i had a lot more planned for this, but i had to cut the idea short because i ran out of credits

here’s my entry for the #GAMDOM50KCHALLENGE i wanted to put a few things i knew Steve Will Do It and CODE steve ON GAMDOM would appreciate into one piece and turn it into a banger ‣ rick & morty-fied steve, adukes & yungreal ‣ added a zero coke & runescape because i know you love it ‣ made the roobet kangaroo the villain because i know you don’t fw the two haha i had a lot more planned for this, but i had to cut the idea short because i ran out of credits

rz

31,038 görüntüleme • 1 ay önce

I gave Qoder one outcome: turn a blank workspace into a working analytics dashboard for my creator campaigns. I didn’t map out the implementation. I gave it the task, watched it plan + build, and checked the result. Here’s my full run ↓ Qoder

I gave Qoder one outcome: turn a blank workspace into a working analytics dashboard for my creator campaigns. I didn’t map out the implementation. I gave it the task, watched it plan + build, and checked the result. Here’s my full run ↓ Qoder

Nas

137,391 görüntüleme • 1 ay önce

I wanted to see if an AI agent could take one business task all the way to a verified artifact, so I gave Qoder a real one. In General mode, I selected the Business Data Analysis workspace, chose Qwen3.8-Flash from the model picker, enabled full access, and asked it to analyze every file in the folder and build an executive performance report for Jul 1-Sep 20, 2026. The brief included KPIs, revenue, gross profit, margins, monthly trends, regional and product performance, target attainment, marketing efficiency, customer mix, weighted CRM pipeline, anomalies, and charts. Qoder planned the task, read the source files, and ran terminal commands. It hit real issues: a broken NumPy environment, old folder paths, inaccurate claims, and chart label collisions. It switched to a working Python stack, repaired the scripts, corrected a "2x October target" claim to September, fixed a "2:1" product-tier claim that was actually 1.5:1, and re-ran the validate -> metrics -> charts -> report pipeline. The Browser Use step was the proof: Qoder opened the generated HTML, captured screenshots, and checked that the charts rendered correctly. The final report showed $450,635 net revenue, $311,262 gross profit, 69.1% gross margin, 937 orders, and $1.101M weighted pipeline from 120 open opportunities. That is the difference between a chat answer and an agent workflow: I could inspect the actions, challenge the output, and verify the result. Qwen3.8-Flash was at 0.0x Credits through Sep 30. Sign up first using this link at before you download. You will get 600 Credits: 300 from the trial and 300 from my code.

I wanted to see if an AI agent could take one business task all the way to a verified artifact, so I gave Qoder a real one. In General mode, I selected the Business Data Analysis workspace, chose Qwen3.8-Flash from the model picker, enabled full access, and asked it to analyze every file in the folder and build an executive performance report for Jul 1-Sep 20, 2026. The brief included KPIs, revenue, gross profit, margins, monthly trends, regional and product performance, target attainment, marketing efficiency, customer mix, weighted CRM pipeline, anomalies, and charts. Qoder planned the task, read the source files, and ran terminal commands. It hit real issues: a broken NumPy environment, old folder paths, inaccurate claims, and chart label collisions. It switched to a working Python stack, repaired the scripts, corrected a "2x October target" claim to September, fixed a "2:1" product-tier claim that was actually 1.5:1, and re-ran the validate -> metrics -> charts -> report pipeline. The Browser Use step was the proof: Qoder opened the generated HTML, captured screenshots, and checked that the charts rendered correctly. The final report showed $450,635 net revenue, $311,262 gross profit, 69.1% gross margin, 937 orders, and $1.101M weighted pipeline from 120 open opportunities. That is the difference between a chat answer and an agent workflow: I could inspect the actions, challenge the output, and verify the result. Qwen3.8-Flash was at 0.0x Credits through Sep 30. Sign up first using this link at before you download. You will get 600 Credits: 300 from the trial and 300 from my code.

JAYDEN™

158,154 görüntüleme • 1 ay önce

Most AI coding demos stop at “here’s the code.” MiniMax Code kept going with its latest M3.1 Flash model: it built the game, tested the gameplay, fixed bugs, and iterated inside the same workflow. I gave it one simple idea: Build me a playable adveranturous pixel-style game from scratch. What caught my attention wasn’t just that it generated the game. I could actually watch MiniMax Code work on the project, open the result in its built-in browser, test it, and then make changes to the same project based on my instructions, it also tests the gameplay itself, and catches bugs. For example, I could ask it to change the gameplay or UI, and it would go back into the project and implement the changes. That browser + coding workflow is what made it feel different from simply asking an AI to generate a piece of code. You can actually see the agent build, test, and iterate on the project. It’s like having an autonomous dev partner who builds, tests, and refines alongside you. Now in MiniMax Code you can build daily workflows with its latest M3.1 Flash model, and get 400 free credits every day. Try it cuz it's worth it.

Most AI coding demos stop at “here’s the code.” MiniMax Code kept going with its latest M3.1 Flash model: it built the game, tested the gameplay, fixed bugs, and iterated inside the same workflow. I gave it one simple idea: Build me a playable adveranturous pixel-style game from scratch. What caught my attention wasn’t just that it generated the game. I could actually watch MiniMax Code work on the project, open the result in its built-in browser, test it, and then make changes to the same project based on my instructions, it also tests the gameplay itself, and catches bugs. For example, I could ask it to change the gameplay or UI, and it would go back into the project and implement the changes. That browser + coding workflow is what made it feel different from simply asking an AI to generate a piece of code. You can actually see the agent build, test, and iterate on the project. It’s like having an autonomous dev partner who builds, tests, and refines alongside you. Now in MiniMax Code you can build daily workflows with its latest M3.1 Flash model, and get 400 free credits every day. Try it cuz it's worth it.

Jay Bisen

59,338 görüntüleme • 16 gün önce

First output looked done. Then I opened it. The bird went through the pipe like the wall was a suggestion. I stayed in the same Nex-N2.5 Pro chat and told it what the screen did. It didn’t restart the whole job. It fixed the file. Second run, collision was real. Most models stop when the code looks pretty. This one had to survive a tap. Free on OpenRouter for a limited time:

First output looked done. Then I opened it. The bird went through the pipe like the wall was a suggestion. I stayed in the same Nex-N2.5 Pro chat and told it what the screen did. It didn’t restart the whole job. It fixed the file. Second run, collision was real. Most models stop when the code looks pretty. This one had to survive a tap. Free on OpenRouter for a limited time:

Hemtee👽

157,188 görüntüleme • 2 ay önce

Want to turn your data into a dashboard your whole team can use? Tell Qoder what you need. Qoder Sites helps you publish it as a website, share it with your team, and refresh it with new data—all through chat. Same link, updated dashboard. Open Qoder and try it with your own data.

Want to turn your data into a dashboard your whole team can use? Tell Qoder what you need. Qoder Sites helps you publish it as a website, share it with your team, and refresh it with new data—all through chat. Same link, updated dashboard. Open Qoder and try it with your own data.

Qoder

1,074,508 görüntüleme • 14 gün önce

This is one of the coolest open-source AI agent projects I've seen in a while: 'Understand Anything' It's a plugin for Claude Code, Codex, OpenCode etc. that analyzes your codebase and turns it into a knowledge base that you can interact with. It explains the codebase to you, rather than showing you the structure. It seems like it's designed for code but I opened my Obsidian vault of podcast highlights in Claude Code, then ran /understand. The result is a knowledge graph that I can search of highlights from 888 podcast episodes and 144K lines of markdown text.

This is one of the coolest open-source AI agent projects I've seen in a while: 'Understand Anything' It's a plugin for Claude Code, Codex, OpenCode etc. that analyzes your codebase and turns it into a knowledge base that you can interact with. It explains the codebase to you, rather than showing you the structure. It seems like it's designed for code but I opened my Obsidian vault of podcast highlights in Claude Code, then ran /understand. The result is a knowledge graph that I can search of highlights from 888 podcast episodes and 144K lines of markdown text.

Dan McAteer

175,308 görüntüleme • 4 ay önce

Is Windsurf better than Cursor? impossible to say, but... it does one thing better: soooo... I spent an hour testing windsurf... and this is what i created... and app called "boop-boop" lol... one thing windsurf does is it searches the internet. If you've been watching my videos you know that i go to perplexity all the time to get code examples and docs. but with windsurf you can just say, "search the replicate top image gen models and add them to the chat we just created" It will search the internet, find the right model then write the code. This is great for replicate and openrouter. You can have one api key in your .env file then just tell windsurf to search for docs for [insert ai model] and it will just add it to your app. Impressed tbh.

Is Windsurf better than Cursor? impossible to say, but... it does one thing better: soooo... I spent an hour testing windsurf... and this is what i created... and app called "boop-boop" lol... one thing windsurf does is it searches the internet. If you've been watching my videos you know that i go to perplexity all the time to get code examples and docs. but with windsurf you can just say, "search the replicate top image gen models and add them to the chat we just created" It will search the internet, find the right model then write the code. This is great for replicate and openrouter. You can have one api key in your .env file then just tell windsurf to search for docs for [insert ai model] and it will just add it to your app. Impressed tbh.

Riley Brown

31,043 görüntüleme • 1 yıl önce

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

12,326 görüntüleme • 8 ay önce

My dear software engineers, I am excited to present you my latest achievement in the code search area that I've been trying to tackle for the last months: ACTUALLY WORKING real-time approximate typo-resistant code search. What does it mean? you: can search any code with any typos you agent: for every search of UserController with 0 results will automatically suggest UserAuthController without additional cost It's already live you can try it right now as MCP for file search

My dear software engineers, I am excited to present you my latest achievement in the code search area that I've been trying to tackle for the last months: ACTUALLY WORKING real-time approximate typo-resistant code search. What does it mean? you: can search any code with any typos you agent: for every search of UserController with 0 results will automatically suggest UserAuthController without additional cost It's already live you can try it right now as MCP for file search

Dmitriy Kovalenko

441,436 görüntüleme • 7 ay önce