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{:,:,:,:} |
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{:AI Editor\Shortlist\feed\Human in the loop\Look for another story in the top spot, I don't like it for XYZ reason\".\n- The workflow will either look for my approval or take my feedback into consideration and try selecting the top stories again before continuing on.\n\n### 4. Subject Line Prompt\n\nOnce the top stories are approved, the automation moves on to a very similar step for writing the subject line. It will give me its top selected option and 3-5 alternatives for me to review. Once again this get's shared to slack, and I can approve the selected subject line or tell it to use a different one in plain english.\n\n### 5. Write “Core” Newsletter Segments\n\nNext up, I move on to the part of the automation that is responsible for writing the \ content of the newsletter. There's quite a bit going on here:\n\n- The action inside this section of the workflow is to split out each of the stop news stories from before and start looping over them. This allows me to write each section one by one instead of needing a prompt to one-shot the entire thing. In my testing, I found this to follow my instructions / constraints in the prompt much better.\n- For each top story selected, I have a list of \"content identifiers\" attached to it which corresponds to a file stored in the S3 bucket. Before I start writing, I go back to our S3 bucket and download each of these markdown files so the system is only looking at and passing in the relevant context when it comes time to prompt. The number of tokens used on the API calls to LLMs get very big when passing in all news stories to a prompt so this should be as focused as possible.\n- With all of this context in hand, I then make the LLM call and run a mega-prompt that is setup to generate a single core newsletter section. The core newsletter sections follow a very structured format so this was relatively easier to prompt against (compared to picking out the top stories). If that is not the case for you, you may need to get a bit creative to vary the structure / final output.\n- This process repeats until I have a newsletter section written out for each of the top selected stories for the day.\n\nYou may have also noticed there is a branch here that goes off and will conditionally try to scrape more URLs. We do this to try and scrape more “primary source” materials from any news story we have loaded into context. \n\nSay Open AI releases a new model and the story we scraped was from Tech Crunch. It’s unlikely that tech crunch is going to give me all details necessary to really write something really good about the new model so I look to see if there’s a url/link included on the scraped page back to the Open AI blog or some other announcement post.\n\nIn short, I just want to get as many primary sources as possible here and build up better context for the main prompt that writes the newsletter section.\n\n### 6. Final Touches (Final Nodes / Sections)\n\n- I have a prompt to generate an intro section for the newsletter based off all of the previously generated content\n - I then have a prompt to generate a newsletter section called \"The Shortlist\" which creates a list of other AI stories that were interesting but didn't quite make the cut for top selected stories\n- Lastly, I take the output from all previous node, format it as markdown, and then post it into an internal slack channel so I can copy this final output and paste it into the Beehiiv editor and schedule to send for the next morning.\n\n## Workflow Link + Other Resources\n\n- Github workflow links:\n - AI News Story / Data Ingestion Workflow: https://github.com/lucaswalter/n8n-ai-workflows/blob/main/ai_news_data_ingestion.json\n - Firecrawl Scrape Url Sub-Workflow: https://github.com/lucaswalter/n8n-ai-workflows/blob/main/firecrawl_scrape_url.json\n - AI Newsletter Generator Workflow: https://github.com/lucaswalter/n8n-ai-workflows/blob/main/ai_newsletter_generator.json\n- YouTube video that walks through this workflow step-by-step: https://www.youtube.com/watch?v=Nv5_LU0q1IY\n\nAlso wanted to share that my team and I run a free Skool community called [AI Automation Mastery](https://www.skool.com/ai-automation-mastery-group) where we build and share the automations we are working on. Would love to have you as a part of it if you are interested!outputTop Answer:\nDude, you are on fire! Thank you for this.sourcereddit_n8nurlhttps://www.reddit.com/r/n8n/comments/1l9pff8/i_built_an_ai_system_that_scrapes_stories_off_the/ |
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instruction[Context: r/n8n] You can safely discard your 159 node n8n automation that created 500 AI shorts in 5 seconds\n\noutputTop Answer:\nGoodsourcereddit_n8nurlhttps://www.reddit.com/r/n8n/comments/1lvfz70/you_can_safely_discard_your_159_node_n8n/ |
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instruction[Context: r/n8n] Looks ugly but it is now managing my investments...\n\nI used n8n to build an automated crypto market analyst that basically tells me what to do with my money.\n\nIt’s not a day trader but more like a mid-term investor that looks for good entry points to accumulate and smart moments to take profits, all while keeping track of the bigger macro picture and giving a sense of where we are in the cycle.\n\nI feed it tons of data: macro, meso, and micro indicators, on-chain metrics, sentiment, and live news and it spits out quick, digestible insights.\n\nIf you follow crypto, you probably know Benjamin Cowen. His cycle-based, data-driven approach inspired this system, though it’s powered by GPT-5 and built to process far more information at once.\n\nIt can produce full geek-level reports or just simple, actionable daily insights.\n\nA bunch of people asked me to share what it’s saying, so I set up an account that automatically posts its thoughts here:\n\n[x.com/InvestWithGPT](https://x.com/InvestWithGPT)\n\nI know people are both curious and skeptical about this kind of thing so feel free to roast me or ask anything.\n\n**UPDATE:** \n\nI made a lighter, prettier version available on [hunchmachine.com](http://hunchmachine.com)outputTop Answer:\nThat’s a lot of nodes to be told to just stack sats.sourcereddit_n8nurlhttps://www.reddit.com/r/n8n/comments/1oc0mup/looks_ugly_but_it_is_now_managing_my_investments/ |
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instruction[Context: r/n8n] Your slop won’t sell\n\nGuys, 99% of posts I see here is by people with no technical knowledge. Your ai slop that makes reels or ai slop generated emails are useless. There is like a 1000 of you here making the same ai garbage slop that nobody needs. If you want easy money go do some rug pulling in crypto. Automation is an actual real business and your retarded pipeline is not unique and will only be good at one thing-Wasting tokens. Pls, just stop. There is enough ai slop out there. Learn to code, learn to actually do shit. \n\nEdit:\nMany people don’t seem to understand that I don’t have an issue with an honest businessmen out there automating something for themselves with a simple pipeline. That’s what n8n is for. My issue is with people who make a brain dead pipeline that like scrapes the web or something and then throws that shit into ai model to output a video reel. They the proceed to call themselves an automation engineer and start looking for work. It’s as if I built a hut out of mud and started calling myself a construction developer and offer my services to build skyscrapers. My mud hut will stand only as long as it doesn’t rain. And when the rain comes all these “automation” experts will be flooded with liability since they didn’t actually take time to learn about what they are doing. outputTop Answer:\nYou’re probably correct, but what is the point of this post?\n\nWe, advanced users, who are deep into tech might agree with the state of this sub and n8n hype… but what is that for? Echo chamber?\n\nGatekeeping does nothing. This message is twofold: you either target snake oils salesmen (who won’t think you’re talking to them) or many many cases beginners will read this and get discouraged (yeah even soon-to-be good devs can too have discouraging beginnings)\n\nEither way nothing good really happens.\n\nI propose otherwise: what about instead of criticizing, we raise awareness? We teach the right path? We encourage and train the next generation of developers?\n\nIf I was starting today, that’s what I would like to have seen. Plant hope dude.sourcereddit_n8nurlhttps://www.reddit.com/r/n8n/comments/1lk9jvx/your_slop_wont_sell/ |
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instruction[Context: r/n8n] i automated the entire cold outreach process in n8n (sorry to whoever's job i just replaced)\n\n","output":"Top Answer:\nUpdate - I have made the cold outreach N8N automation public\n\nhttps://www.reddit.com/r/n8n/comments/1jm842j/update_i_automated_the_entire_cold_outreach/\n\npast week I’ve been building a complete cold outreach automation system that does everything from finding prospects to sending perfectly personalized messages. here’s a sneak peek\n\nwhat my automation does:\n\nstep 1 - finding prospects - \ngenerates targeted prospect lists using apollo, basically tells apollo exactly what kind of leads we want and gets the url for them (no apollo account needed)\n\nstep 2 - processing the data - \nscrapes the apollo url using apify, cleans all the data, verifies which emails actually are deliverable, then stores everything in airtable\n\nstep 3 - deep research engine - \nthis is where it gets interesting - the system runs 5 parallel research processes:\n\n- searches the web about the lead and their company for news, reviews, anything useful\n- scrapes their linkedin profile for background\n- analyzes their linkedin posts to understand what they care about\n- scrapes and analyzes their company linkedin profile and posts\n- scrapes their company website each of these gets processed by ai to generate detailed reports, all stored back in airtable\n\nstep 4 - scoring and email generation - \nscores each lead based on whatever criteria matters for your business, then the ai drafts personalized emails using all the research\n\nstep 5 - outreach automation - \nsends personalized emails using smartlead and uses phantom buster to send linkedin connection requests (with daily limit of 15-20 connection requests to stay under linkedin’s radar)\n\n## the exact cost breakdown:\n\n- at 100 leads/month: $0.91 per lead\n- at 500 leads/month: $0.18 per lead\n- at 1,000 leads/month: $0.09 per lead\n- at 5,000 leads/month: $0.02 per lead\n- at 10,000 leads/month: $0.01 per lead\n\nmonthly fixed costs:\n\n- phantom buster: $49/month (after free trial)\n- apify basic plan: $39/month (comes with $39 in credits)\n- apify scraping: ~$1.20 per 1000 leads for apollo, ~$1.20 per 1000 for linkedin\n- n8n: $0 (self-hosted)\n- email service: $3/month\n\nnote: cost per lead drops as you scale because the fixed monthly costs get spread across more leads\n\ntools used: n8n, chatgpt api, google gemini, tavily search, apify, firecrawl, airtable, and phantom buster.\n\ni’m planning to share the complete workflow once finished.\nwould this be something you’d use?","source":"reddit_n8n","url":"https://www.reddit.com/r/n8n/comments/1jgl5ek/i_automated_the_entire_cold_outreach_process_in/"} |
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{"instruction":"[Context: r/n8n] I built an n8n workflow that automatically finds clients and made me my first $227. Here’s how it works.\n\nHey everyone,\n\nI wanted to share a small win. I recently made my first $227.74 using a client-finding machine I built in n8n. It's a simple idea but it worked surprisingly well, and I wanted to share the process.\n\nThe Problem\n\nMy goal was to find e-commerce stores with slow websites. Slow sites lose customers, so I knew the owners would be motivated to fix them. The problem was, finding these sites and reaching out to them manually is incredibly time-consuming and boring.\n\nThe Workflow (The Automation)\n\nI built an n8n workflow to do all the heavy lifting for me:\n\nThe Input: The workflow starts with a simple list of e-commerce websites that I provide.\n\nThe Speed Test: It then iterates through the list and uses a Website Speed Test API from RapidAPI to check each site's performance metrics.\n\nThe Filter: I set a simple condition in an IF node (e.g., if the load time is over 3 seconds). Only the slow websites pass this filter and continue to the next step.\n\nThe Outreach: For each slow website, the workflow automatically generates a simple performance report and sends a personalized email to the business owner, showing them the issue with their site.\n\nThe Business Model\n\nThis system started conversations for me on complete autopilot. When I first started, I had knowledge of WordPress and could identify a slow site, but I wasn't a top expert in speed optimization.\n\nSo, when a business owner would reply and we closed a deal, I hired a talented freelancer. to do the actual speed optimization work. I was essentially the automated project manager, connecting the client with the solution.\n80 percent for my self 20 percent to freelancer \n\n\nThe Result\n\nThis simple system has been a great way to start conversations and land a few clients. So far, I've made $227.74. It's not a huge amount, but it proves the concept of using automation to create business opportunities from scratch.\n\nJust wanted to share to show what's possible with a simple idea and a powerful tool like n8n. \n\nBelieve in God \n","output":"Top Answer:\nVery interesting, could you share more details of the flow? Some screenshot or something similar to see how you did it. \n\nAnd thanks for sharing your idea.","source":"reddit_n8n","url":"https://www.reddit.com/r/n8n/comments/1ndb2tf/i_built_an_n8n_workflow_that_automatically_finds/"} |
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{"instruction":"[Context: r/n8n] This Automation Took Me From 0 to 175k Followers in Under 12 Months\n\nFull Video Walkthrough: [Link](https://youtu.be/m-7egcppFPk) \n \n \nThis is the automation that took me from zero to 175K followers in under 12 months across IG, TikTok, and YouTube. \n \nThe premise is simple: scrape social media to identify trending topics in your niche, spot patterns and content gaps, then generate actionable content ideas based on real data. \n \nThat final output comes in two forms: \n\nFirst, you get a daily report sent to your inbox every morning with a big-picture summary of trending topics over the last 24 hours across YouTube, Reddit, Twitter, and the web at large. This includes the top three videos in your niche, rising Reddit posts, trending tweets, and general web stories—all analyzed and synthesized. \n\n\nSecond, we push all the granular data scraped from those sources as well as the potential content scripts to Airtable. These content scripts are the real money maker as they are very detailed (hooks, general storyline, and outro are included) and I took measures to avoid AI slop-- the LLM that produces these is trained on [Kallaway's](https://www.youtube.com/@kallawaymarketing) social media storytelling principles so we have something of actual value to work with. \n \nNow, for how it actually works. \n \nThe workflow is built on the back of four scraping funnels: \n \nYouTube: grabs the top 10 videos in your niche, extracts transcripts via Apify ($0.007 per transcript), filter out shorts, and analyzes the transcript to pull out the relevant information. \n\nReddit: same logic as above, but we instead pull the top 5 rising posts from your subreddit of choice. \n\nTwitter: same logic again, this time look at the top 50 tweets across multiple search terms via Apify's Tweet Scraper V2 at $0.004 per thousand tweets (way cheaper than Twitter's API) \n \nLastly, we use Perplexity for general web catchall to identify larger niche related news. \n \nAll analysis gets aggregated and pushed two directions: the email report generator and the content brainstorm module LLM. Total cost per run comes out to about 32 cents daily. \n \nTruth be told, this isn't just a content tool-- the bones are a scraping template. What you do with the data is up to you. The ultimate goal is to never stare at a blank page hoping content ideas materialize. You need a starting point based on what's actually trending, not what you think is trending (or worse, what's already trending down. \n\nLess doomscrolling, more data-driven creation.","output":"Top Answer:\nOk.","source":"reddit_n8n","url":"https://www.reddit.com/r/n8n/comments/1oj8q69/this_automation_took_me_from_0_to_175k_followers/"} |
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{"instruction":"[Context: r/n8n] I built this AI Automation to write viral TikTok/IG video scripts (got over 1.8 million views on Instagram)\n\nI run an Instagram [account](https://www.instagram.com/davi.d_roberts/reels/) that publishes short form videos each week that cover the top AI news stories. I used to monitor twitter to write these scripts by hand, but it ended up becoming a huge bottleneck and limited the number of videos that could go out each week.\n\nIn order to solve this, I decided to automate this entire process by building a system that scrapes the top AI news stories off the internet each day (from Twitter / Reddit / Hackernews / other sources), saves it in our data lake, loads up that text content to pick out the top stories and write video scripts for each.\n\nThis has saved a ton of manual work having to monitor news sources all day and let’s me plug the script into ElevenLabs / HeyGen to produce the audio + avatar portion of each video.\n\nOne of the recent videos we made this way got over **1.8 million** views on Instagram and I’m confident there will be more hits in the future. It’s pretty random on what will go viral or not, so my plan is to take enough “shots on goal” and continue tuning this prompt to increase my changes of making each video go viral.\n\n## Here’s the workflow breakdown\n\n### 1. Data Ingestion and AI News Scraping\n\nThe first part of this system is actually in a separate workflow I have setup and running in the background. I actually made another [reddit post](https://www.reddit.com/r/n8n/comments/1kzaysv/i_built_a_workflow_to_scrape_virtually_any_news/) that covers this in detail so I’d suggestion you check that out for the full breakdown + how to set it up. I’ll still touch the highlights on how it works here:\n\n1. The main approach I took here involves creating a \"feed\" using RSS.app for every single news source I want to pull stories from (Twitter / Reddit / HackerNews / AI Blogs / Google News Feed / etc).\n 1. Each feed I create gives an endpoint I can simply make an HTTP request to get a list of every post / content piece that rss.app was able to extract.\n 2. With enough feeds configured, I’m confident that I’m able to detect every major story in the AI / Tech space for the day. Right now, there are around ~13 news sources that I have setup to pull stories from every single day.\n2. After a feed is created in rss.app, I wire it up to the n8n workflow on a Scheduled Trigger that runs every few hours to get the latest batch of news stories.\n3. Once a new story is detected from that feed, I take that list of urls given back to me and start the process of scraping each story and returns its text content back in markdown format\n4. Finally, I take the markdown content that was scraped for each story and save it into an S3 bucket so I can later query and use this data when it is time to build the prompts that write the newsletter.\n\nSo by the end any given day with these scheduled triggers running across a dozen different feeds, I end up scraping close to 100 different AI news stories that get saved in an easy to use format that I will later prompt against.\n\n### 2. Loading up and formatting the scraped news stories\n\nOnce the data lake / news storage has plenty of scraped stories saved for the day, we are able to get into the main part of this automation. This kicks off off with a scheduled trigger that runs at 7pm each day and will:\n\n- Search S3 bucket for all markdown files and tweets that were scraped for the day by using a prefix filter\n- Download and extract text content from each markdown file\n- Bundle everything into clean text blocks wrapped in XML tags for better LLM processing - This allows us to include important metadata with each story like the source it came from, links found on the page, and include engagement stats (for tweets).\n\n### 3. Picking out the top stories\n\nOnce everything is loaded and transformed into text, the automation moves on to executing a prompt that is responsible for picking out the top 3-5 stories suitable for an audience of AI enthusiasts and builder’s. The prompt is pretty big here and highly customized for my use case so you will need to make changes for this if you are going forward with implementing the automation itself.\n\nAt a high level, this prompt will:\n\n- Setup the main objective\n- Provides a “curation framework” to follow over the list of news stories that we are passing int\n- Outlines a process to follow while evaluating the stories\n- Details the structured output format we are expecting in order to avoid getting bad data back\n\n```jsx\n<objective>\nAnalyze the provided daily digest of AI news and select the top 3-5 stories most suitable for short-form video content. Your primary goal is to maximize audience engagement (likes, comments, shares, saves).\n\nThe date for today's curation is `{{ new Date(new Date($('schedule_trigger').item.json.timestamp).getTime() + (12 * 60 * 60 * 1000)).format(\, \) }}`. Use this to prioritize the most recent and relevant news. You MUST avoid selecting stories that are more than 1 day in the past for this date.\n</objective>\n\n<curation_framework>\nTo identify winning stories, apply the following virality principles. A story must have a strong \ and fit into one of these categories:\n\n1. **Impactful:** A major breakthrough, industry-shifting event, or a significant new model release (e.g., \ \).\n2. **Practical:** A new tool, technique, or application that the audience can use *now* (e.g., \).\n3. **Provocative:** A story that sparks debate, covers industry drama, or explores an ethical controversy (e.g., \).\n4. **Astonishing:** A \ demonstration that is highly visual and easily understood (e.g., \).\n\n**Hard Filters (Ignore stories that are):**\n* **Ad-driven:** Primarily promoting a paid course, webinar, or subscription service.\n* **Purely Political:** Lacks a strong, central AI or tech component.\n* **Substanceless:** Merely amusing without a deeper point or technological significance.\n</curation_framework>\n\n<hook_angle_framework>\nFor each selected story, create 2-3 compelling hook angles that could open a TikTok or Instagram Reel. Each hook should be designed to stop the scroll and immediately capture attention. Use these proven hook types:\n\n**Hook Types:**\n- **Question Hook:** Start with an intriguing question that makes viewers want to know the answer\n- **Shock/Surprise Hook:** Lead with the most surprising or counterintuitive element\n- **Problem/Solution Hook:** Present a common problem, then reveal the AI solution\n- **Before/After Hook:** Show the transformation or comparison\n- **Breaking News Hook:** Emphasize urgency and newsworthiness\n- **Challenge/Test Hook:** Position as something to try or challenge viewers\n- **Conspiracy/Secret Hook:** Frame as insider knowledge or hidden information\n- **Personal Impact Hook:** Connect directly to viewer's life or work\n\n**Hook Guidelines:**\n- Keep hooks under 10 words when possible\n- Use active voice and strong verbs\n- Include emotional triggers (curiosity, fear, excitement, surprise)\n- Avoid technical jargon - make it accessible\n- Consider adding numbers or specific claims for credibility\n</hook_angle_framework>\n\n<process>\n1. **Ingest:** Review the entire raw text content provided below.\n2. **Deduplicate:** Identify stories covering the same core event. Group these together, treating them as a single story. All associated links will be consolidated in the final output.\n3. **Select & Rank:** Apply the **Curation Framework** to select the 3-5 best stories. Rank them from most to least viral potential.\n4. **Generate Hooks:** For each selected story, create 2-3 compelling hook angles using the **Hook Angle Framework**.\n</process>\n\n<output_format>\nYour final output **must** be a single, valid JSON object and nothing else. Do not include any text, explanations, or markdown formatting like ` ```json ` before or after the JSON object.\n\nThe JSON object must have a single root key, `stories`, which contains an array of story objects. Each story object must contain the following keys:\n- `title` (string): A catchy, viral-optimized title for the story.\n- `summary` (string): A concise, 1-2 sentence summary explaining the story's hook and why it's compelling for a social media audience.\n- `hook_angles` (array of objects): 2-3 hook angles for opening the video. Each hook object contains:\n - `hook` (string): The actual hook text/opening line\n - `type` (string): The type of hook being used (from the Hook Angle Framework)\n - `rationale` (string): Brief explanation of why this hook works for this story\n- `sources` (array of strings): A list of all consolidated source URLs for the story. These MUST be extracted from the provided context. You may NOT include URLs here that were not found in the provided source context. The url you include in your output MUST be the exact verbatim url that was included in the source material. The value you output MUST be like a copy/paste operation. You MUST extract this url exactly as it appears in the source context, character for character. Treat this as a literal copy-paste operation into the designated output field. Accuracy here is paramount; the extracted value must be identical to the source value for downstream referencing to work. You are strictly forbidden from creating, guessing, modifying, shortening, or completing URLs. If a URL is incomplete or looks incorrect in the source, copy it exactly as it is. Users will click this URL; therefore, it must precisely match the source to potentially function as intended. You cannot make a mistake here.\n```\n\nAfter I get the top 3-5 stories picked out from this prompt, I share those results in slack so I have an easy to follow trail of stories for each news day.\n\n### 4. Loop to generate each script\n\nFor each of the selected top stories, I then continue to the final part of this workflow which is responsible for actually writing the TikTok / IG Reel video scripts. Instead of trying to 1-shot this and generate them all at once, I am iterating over each selected story and writing them one by one.\n\nEach of the selected stories will go through a process like this:\n\n- Start by additional sources from the story URLs to get more context and primary source material\n- Feeds the full story context into a viral script writing prompt\n- Generates multiple different hook options for me to later pick from\n- Creates two different 50-60 second scripts optimized for talking-head style videos (so I can pick out when one is most compelling)\n- Uses examples of previously successful scripts to maintain consistent style and format\n- Shares each completed script in Slack for me to review before passing off to the video editor.\n\n**Script Writing Prompt**\n\n```jsx\nYou are a viral short-form video scriptwriter for David Roberts, host of \"The Recap.\"\n\nFollow the workflow below **each run** to produce two 50-60-second scripts (140-160 words).\n\nBefore you write your final output, I want you to closely review each of the provided `REFERENCE_SCRIPTS` and think deeploy about what makes them great. Each script that you output must be considered a great script.\n\n────────────────────────────────────────\n\nSTEP 1 – Ideate\n\n• Generate **five** distinct hook sentences (≤ 12 words each) drawn from the STORY_CONTEXT.\n\nSTEP 2 – Reflect & Choose\n\n• Compare hooks for stopping power, clarity, curiosity.\n\n• Select the **two strongest hooks** (label TOP HOOK 1 and TOP HOOK 2).\n\n• Do not reveal the reflection—only output the winners.\n\nSTEP 3 – Write Two Scripts\n\nFor each top hook, craft **one flowing script** ≈ 55 seconds (140-160 words).\n\nStructure (no internal labels):\n\n– Open with the chosen hook.\n\n– One-sentence explainer.\n\n– **5-7** rapid wow-facts / numbers / analogies.\n\n– **2-3** sentences on why it matters or possible risk.\n\n– **Final line = a single CTA**\n\n• Ask viewers to comment with a forward-looking question **or**\n\n• Invite them to follow The Recap for more AI updates.\n\nStyle: confident insider, plain English, light attitude; active voice, present tense; mostly ≤ 12-word sentences; explain unavoidable jargon in ≤ 3 words.\n\nOPTIONAL POWER-UPS (use when natural)\n\n• Authority bump – Cite a notable person or org early for credibility.\n\n• Hook spice – Pair an eye-opening number with a bold consequence.\n\n• Then-vs-Now snapshot – Contrast past vs present to dramatize change.\n\n• Stat escalation – List comparable figures in rising or falling order.\n\n• Real-world fallout – Include 1-3 niche impact stats to ground the story.\n\n• Zoom-out line – Add one sentence framing the story as a systemic shift.\n\n• CTA variety – If using a comment CTA, pose a provocative question tied to stakes.\n\n• Rhythm check – Sprinkle a few 3-5-word sentences for punch.\n\nOUTPUT FORMAT (return exactly this—no extra commentary, no hashtags)\n\n1. HOOK OPTIONS\n \n • Hook 1\n \n • Hook 2\n \n • Hook 3\n \n • Hook 4\n \n • Hook 5\n \n2. TOP HOOK 1 SCRIPT\n \n [finished 140-160-word script]\n \n3. TOP HOOK 2 SCRIPT\n \n [finished 140-160-word script]\n\nREFERENCE_SCRIPTS\n\n<Pass in example scripts that you want to follow and the news content loaded from before>\n```\n\n### 5. Extending this workflow to automate further\n\nSo right now my process for creating the final video is semi-automated with human in the loop step that involves us copying the output of this automation into other tools like HeyGen to generate the talking avatar using the final script and then handing that over to my video editor to add in the b-roll footage that appears on the top part of each short form video.\n\nMy plan is to automate this further over time by adding another human-in-the-loop step at the end to pick out the script we want to go forward with → Using another prompt that will be responsible for coming up with good b-roll ideas at certain timestamps in the script → use a videogen model to generate that b-roll → finally stitching it all together with json2video.\n\nDepending on your workflow and other constraints, It is really up to you how far you want to automate each of these steps.\n\n## Workflow Link + Other Resources\n\n- YouTube video that walks through this workflow step-by-step: https://www.youtube.com/watch?v=7WsmUlbyjMM\n- The full n8n workflow, which you can copy and paste directly into your instance, is on GitHub here: https://github.com/lucaswalter/n8n-ai-workflows/blob/main/short_form_video_script_generator.json\n\nAlso wanted to share that my team and I run a free Skool community called [AI Automation Mastery](https://www.skool.com/ai-automation-mastery-group) where we build and share the automations we are working on. Would love to have you as a part of it if you are interested!","output":"Top Answer:\nHaha I wanted to come shit on your post and say \"show me your account or I call BS\" but low and behold, you provided a link in the 5th word of the post.\n\n\nCongrats!","source":"reddit_n8n","url":"https://www.reddit.com/r/n8n/comments/1loafvx/i_built_this_ai_automation_to_write_viral/"} |
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{"instruction":"[Context: r/n8n] 10 things I wish I knew before diving into AI automation (after building 100+ workflows)\n\nBeen deep in the automation game for the past year - here's what actually matters vs. what everyone talks about:\n\n**1. Start stupidly simple** Your first automation should take 10 minutes, not 10 hours. I wasted weeks on complex builds when a simple \ would've taught me more.\n\n**2. Document your builds publicly** Every automation you create is potential content. Screenshots, learnings, failures - it all becomes proof of expertise. I get more clients from sharing my process than from perfect demos.\n\n**3. Master the HTTP Request node first** Seriously. Half the \"limitations\" people complain about disappear when you can build custom API calls. It's your Swiss Army knife for everything the built-in nodes can't handle.\n\n**4. Stop calling yourself an \"automation expert\"** Everyone says that. Instead: \"I help \\[specific industry\\] eliminate \\[specific pain point\\].\" Specificity attracts premium clients who have that exact problem.\n\n**5. Your biggest wins come from saying no** Turned down a $500 project last month because it wasn't aligned with my positioning. Client came back two weeks later with a $3K project that was perfect fit. Boundaries create value.\n\n**6. Error handling is where amateurs get exposed** Everyone shows the happy path. Pros build for when APIs go down, data formats change, or users input garbage. Plan for chaos.\n\n**7. Share your failures, not just successes** \ gets way more engagement than \ Vulnerability builds trust.\n\n**8. The money is in ongoing optimization, not one-time builds** Clients pay once for setup, monthly for \ Maintenance contracts beat project work every time.\n\n**9. Your network determines your net worth** Other automators become referral sources, not competition. Help people in communities, share knowledge freely. Half my clients come from automator referrals now.\n\n**10. Build your own systems first** Nothing proves automation expertise like having your own lead generation, content creation, and client onboarding automated. Practice what you preach.\n\n**Bonus insight**: The automators making real money talk about business outcomes, not technical features. \ beats \ every time.\n\nWhat's your biggest automation learning curve? Always curious what trips people up vs. what clicks immediately.","output":"Top Answer:\nThis list is solid AF, dude! Number 3 about mastering HTTP node first is the real MVP - seeing this mistake constantly. I've built scrapers that hit 1000+ websites with just that node and proper error handling.\n\nThat error handling point (#6) is where the pros separate from amateurs. Had a client workflow break at 2am because their API changed formats - now I build every system assuming APIs will fail, because they always do eventually lol.\n\nThe business outcomes focus is where the real money is. Built a system for a client that went from $5M to $15M+ annual revenue - they dgaf about my 47-node workflow, they care about the 30+ hours/week I saved their team.\n\nOne thing I'd add: \\*\\*Build measurable workflows from day one\\*\\*. Track every automation with before/after metrics - makes selling the next project 10x easier when you can say \"last time we cut processing time by 84%.\"\n\nThe \"document publicly\" advice is gold too. Half my clients come from showing my process in Discord/Reddit groups and helping people solve problems for free. Reputation > marketing every time bro.","source":"reddit_n8n","url":"https://www.reddit.com/r/n8n/comments/1ldvy4n/10_things_i_wish_i_knew_before_diving_into_ai/"} |
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{"instruction":"[Context: r/n8n] N8N the best tool for small business\n\nI run a small real estate agency and I’m the company nerd or at least I’m the only one who can touch technology without making damage.\n3 months ago I stumbled across N8N, don’t even remember how..\nAnyways since then our productivity grew so much and we process leads so much faster now.\nPlus I have been building all sorts of agents for my team (I keep the agents simple and to serve a specific purpose), database automation, contract writers, background investigations, and more..I also wrote a decent knowledge base and I have clients chatting with it and work with the agents until they’re qualified or ask for human contact. It basically reduced workload by 80% for the sales department.\n\nI can really automate anything, this software is amazing.\n\nJust today I setup an agent that reach out to users on my website who leave their email to download an investing guide and the agent knows what the user have been reading, find something in his knowledge that adds value to the user and then craft an email designed to spark conversation with the lead.\nI really look forward to see if this gimmick alone increases conversion.\n\nAnd nothing.. I’m just a happy business owner wondering if even my job will be taken over by ai agents at some point.\nNice but scary, but mostly nice.\n\nKeep building.\nLove this community.\n\n\n","output":"Top Answer:\nI’m just curious with all this “lead automation” if anyone is actually seeing new clients from these “leads” feels like as AI use increases globally, these leads will become more and more diluted/saturated with AI on the other end too (less likely to contact an actual human that will look at your info)\n\nPerhaps it’s just the future of lead generation, no more human touching it because it’s become a massive time sink of garbage in garbage out- few actual prospects.","source":"reddit_n8n","url":"https://www.reddit.com/r/n8n/comments/1jwspka/n8n_the_best_tool_for_small_business/"} |
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{"instruction":"[Context: r/n8n] The only way to make $5000 per month with N8N\n\nDo your job well. \n\n\\_\\_\\_\n\nI see a lot of people **frustrated** about content in social media that tells them that everyone can make EASY money with N8N and shares their templates and courses - you start to feel like you're missing something when everyone around you is successful.\n\nThese people **are lying** to get their own benefits from AI trends - they make money on content/education, not on real projects. Most of them never **tried** to build something that actually works or acquire real clients.\n\nMost of the templates are just pieces of crap, stolen three times over.\n\nThat’s why people jump into the real world after their courses and can’t make even a penny with the knowledge they’ve acquired.\n\nMany people teach how to sell solutions, not how to build them. As a result, the market is full of crappy agencies with zero-experience people trying to trick clients and make junk that never works.\n\nI spent 5 years among such agencies and saw hundreds of thousands of dollars spent on solutions that never made it to production.\n\n\n\n**So, how do you do real stuff and make money without pushy sales techniques?**\n\nI’ve made $5k per month for the last 3 years in a country where the average salary is $800.\n\nDo I do sales? No. Cold outreach? No.\n\nUpwork? Not anymore, I was banned.\n\nSo, where do I get most of my clients? **Relationships.**\n\nPeople trust people, not ads.\n\n\n\n**How do you build relationships from scratch?**\n\nGet your first projects for free to gain experience and meet new people. Help others in communities, whether you know the answer or not. \n\nContent is a part of building relationships, because through your content people get to know you and feel closer to you as a person. Choose one social media platform and share your knowledge, your cases, and interesting finds from the internet.\n\nYou don’t need a lot - in reality, you just need to do 1-3 projects really well and build relationships with those clients. If you make them money with your solution, they will come back to you over and over again. Half of my clients come back even after years because they know I can provide quality solutions and really help them.\n\nOne good, proactive client can supply you with dozens of projects so you’ll never need to spend time acquiring other clients - this is how many companies work in totally different niches for decades.\n\n**How do you provide good quality?**\n\nWork hard. Spend more time learning new tech and improving your quality rather than selling. Do audits of projects you’ve completed to find bugs. Focus on the long term and ignore the hype.\n\nIf you want to make more money, you can always start transforming your freelance work into a business. Hire additional people and teach them how to do it well. Attract more clients while maintaining high quality.\n\n\n\n**Be honest, be smart, and care about people and your job -** this is the only way to make $5k per month with N8N.outputTop Answer:\nRelationships are everythingsourcereddit_n8nurlhttps://www.reddit.com/r/n8n/comments/1ky8gnh/the_only_way_to_make_5000_per_month_with_n8n/ |
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instruction[Context: r/n8n] Most people are only using ChatGPT at about 10% of its potential.\n\nI came across a solid “Beginner → Pro Prompting Cheat Sheet” that breaks down: \n- The most common mistakes people make when crafting prompts \n- Useful commands like: list, summarize, elaborate, pros & cons \n- Prompt structures (TREF, SCET, ROSES, etc.) \n- Parameters like temperature, frequency penalty, and stop words \n- How different tones (professional, empathetic, inspirational) change results \n\nHonestly, just applying the “prompt structures” section made my ChatGPT outputs 10x more reliable. \n\nHere’s the sheet (image attached). Curious — what’s your **go-to prompt trick** that consistently gives you better results?outputTop Answer:\nlol this post has the same vibe as those \ statements which is just exaggerationsourcereddit_n8nurlhttps://www.reddit.com/r/n8n/comments/1n6hafn/most_people_are_only_using_chatgpt_at_about_10_of/ |
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instruction[Context: r/n8n] All of N8N workflows I could find (1000+) 😋 enjoy !\n\n# I created a script to download all the n8n workflows from the n8n website so I could use them locally, I added all the workflows I could find on git too, so I made a repo with 1000+ workflows for myself but if it benefits others why not... so have fun feel free to start and use whenever you need. I will add more in a few weeks :) meanwhile enjoy those if it helps anyone\n\ndisclaimer : I didn't create any of those workflows. use at your own risk. check them.\n\n[https://github.com/Zie619/n8n-workflows](https://github.com/Zie619/n8n-workflows)\n\n","output":"Top Answer:\nNow make n8n flow that detects when new flows are pushed, downloads and automatically pushes them to github :)","source":"reddit_n8n","url":"https://www.reddit.com/r/n8n/comments/1kx9u01/all_of_n8n_workflows_i_could_find_1000_enjoy/"} |
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{"instruction":"[Context: r/n8n] Why I Left n8n for Python (And Why It Was the Best Decision for My Projects)\n\nHey everyone,\n\nI wanted to share my experience moving away from n8n and why I decided to switch fully to Python for all my automation needs. Hopefully, this post helps anyone considering their options or running into similar frustrations!\n\n**Background: My Start With n8n**\n\nI first discovered n8n in January 2024. At that time, I already had a solid foundation in Python, which made picking up n8n’s visual workflow builder relatively easy. The initial learning curve wasn’t too steep, and I was quickly able to put together useful automations for myself and some freelance clients.\n\n**From Hobby to Business**\n\nAfter a few months, I started offering automation services to others. As I built more complex systems, I began to notice some persistent issues with n8n that started holding me back, especially as my workflows became more advanced and business-critical.\n\n**Don’t get me wrong, n8n is a great tool, and I’m not here to trash it.** \nFor many people and many use cases, it’s a fantastic way to automate repetitive tasks and integrate different apps without having to write code. It’s open-source, self-hostable, and has a vibrant community behind it. If you’re looking to automate simple workflows, connect web services, or just want a visual way to build automations, n8n does the job really well.\n\n**But here’s the thing:** \nn8n isn’t the “everything tool” that some people make it out to be. There’s a narrative out there that no-code tools like n8n can replace traditional programming for any task, but that just isn’t true, especially when your automations start getting complicated, need to scale, or require advanced logic.\n\n**The Limitations I Encountered With n8n**\n\nHere are some of the main challenges I faced:\n\n* **File Handling:** n8n is not great at dealing with files, especially when you need to process, move, or transform large or multiple files. The built-in nodes often fell short, and workarounds became too hacky or unreliable for my liking.\n* **Performance Issues:** As my workflows grew in size and complexity, n8n started to lag. Large workflows would slow down or fail unpredictably, and scaling was a real challenge. This is a huge issue when you're trying to deliver robust, professional-grade solutions.\n* **Debugging:** Debugging in n8n can be quite painful. The visual interface makes simple workflows easy to follow, but once things get more complicated, it’s difficult to pinpoint exactly where things are going wrong, especially with more advanced logic or error handling.\n* **Tool/Node Limitations:** Sometimes the functionality I needed just wasn’t available in n8n, or required a ton of awkward workarounds. You’re limited to the nodes and options provided by the platform, which can stifle creativity and flexibility.\n* **Reliable AI Agents:** n8n struggles when you need to build truly reliable AI agents. While you can connect to AI APIs easily, managing complex logic, persistent state, and robust error handling for AI-powered workflows is difficult. For anything beyond basic AI use cases, you’ll quickly run into reliability issues and limitations.\n\n**In summary:**\n\n* n8n is excellent for prototyping, MVPs, or connecting services quickly.\n* For more complex, large-scale, or mission-critical automations, I kept running into its limits—performance, debugging, and custom logic being the big ones.\n* Python (or any full programming language) opens up a whole new world of possibilities that n8n just isn’t built to handle.\n\n**Switching to Python: Game Changer**\n\nAfter hitting these walls over and over, I decided to dive back into Python and started rewriting my automation projects from scratch. Honestly, it was one of the best decisions I’ve made for my workflow and my business. Here’s why:\n\n* I was able to create far more professional, scalable, and maintainable systems.\n* There are no arbitrary limits, if I can think of it, I can probably build it.\n* Debugging is straightforward, especially with all the tools and libraries available for Python development.\n* I can handle files, APIs, data processing, and even machine learning, all in one place.\n\n**Advice: Hybrid Approach**\n\nIf you’re not ready to go “all in” with Python, there’s always the hybrid route: orchestrate the general workflow in n8n and use Python scripts for the heavy lifting. This can give you the best of both worlds and ease the transition.outputTop Answer:\nThis resonates a lot. I went through almost the exact same progression. n8n was incredible for fast prototyping, but once things got business-critical (especially around performance, file handling, and AI logic), I kept running into walls.\n\nSwitching to Python for the core logic was a total unlock. I still sometimes use n8n as an orchestrator, but now all the heavy lifting runs in clean, scalable Python services. Great write-up, more people need to hear this part of the journey too.sourcereddit_n8nurlhttps://www.reddit.com/r/n8n/comments/1mcm9d2/why_i_left_n8n_for_python_and_why_it_was_the_best/ |
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instruction[Context: r/n8n] I built a free browser extension that builds your n8n workflows for you, and it’s out now! (Chrome and Firefox)\n\noutputTop Answer:\nSame question as others have had, will you be publishing it to a guthub repo? That way we can have a look at the code to make sure it’s not doing anything suspect like taking our credentials?sourcereddit_n8nurlhttps://www.reddit.com/r/n8n/comments/1jzpj2u/i_built_a_free_browser_extension_that_builds_your/ |
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instruction[Context: r/n8n] I built a 24/7 AI Receptionist with n8n so our local restaurant never misses a call again.\n\nRestaurants miss a lot of calls, especially during peak hours. That's a ton of lost business. To fix this, I built a fully automated AI Receptionist using n8n that runs 24/7 and never misses a call.\n\nHere’s the simple version of how it works:\n\n* **AI Answers the Phone:** When a customer calls, a voice AI from **Vapi** picks up, ready to help.\n* **Understands the Request:** It can answer basic questions (hours, location) or handle a reservation request.\n* **Books the Table:** The AI asks for the necessary details like name, party size, date, and time.\n* **Confirms & Notifies:** Once the details are captured, the n8n workflow instantly:\n * Confirms the booking with the customer on the call.\n * Sends both an **SMS** and **Email** confirmation.\n * Adds the event to the restaurant's calendar.\n * Logs everything in Google Sheets and a database.\n\nThe entire process is hands-free for the staff. It's a simple solution to a costly problem, all powered by n8n.\n\n🔗 **Workflow (public):** [https://drive.google.com/file/d/1uSsWaUedA3\\_kSsREcAjx\\_73dmBlF05p5/view?usp=sharing](https://drive.google.com/file/d/1uSsWaUedA3_kSsREcAjx_73dmBlF05p5/view?usp=sharing) \n \n➡️ If you found this helpful, please upvote and follow for more n8n templates, happy to connect with you.","output":"Top Answer:\nVery interesting to see Groq. Why groq? What model are you using? Fascinating tbh","source":"reddit_n8n","url":"https://www.reddit.com/r/n8n/comments/1nfx1uj/i_built_a_247_ai_receptionist_with_n8n_so_our/"} |
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{"instruction":"[Context: r/n8n] I Built a Personal AI Assistant That Runs My Life Through WhatsApp, Powered by n8n and a Self-Hosted LLM\n\nHey everyone,\n\nI wanted to share a project I've been working on to finally stop switching between a dozen apps to manage my day. I've built a personal AI assistant that I interact with entirely through WhatsApp, with [n8n.io](http://n8n.io) as the backbone. \n**Here’s a quick look at what it can do (with real examples):**\n\n* **Manages My Bills:** I can forward it a message with my credit card due dates. It parses the text, totals the bill amounts, and automatically sets reminders in my calendar 2 days before each payment is due.\n* **Keeps My Schedule:** I can say, \"Remind me by eve to hit the gym,\" and it adds it to my Google Calendar and sends me a reminder notification.\n* **Summarizes My Inbox:** Instead of doomscrolling through emails, I ask, \"check do I have any important mail today?\" and it gives me a clean, bulleted list of important subjects and senders.\n* **Understands Images (OCR):** I snapped a photo of a delivery address, and it extracted all the text, identified the pincode, state, and other details. Super useful for quickly saving info without typing.\n* **Acts as a Music DJ:** It can suggest playlists for any mood or task. When I asked for Ilaiyaraaja songs for work, it gave me a curated list and then created a YouTube playlist for me on command.\n\n**The Tech Setup (The Fun Part):**\n\nThe real magic is the workflow I built in **n8n** (snapshot attached). It orchestrates everything:\n\n* **Entry Point:** A WhatsApp trigger node kicks everything off.\n* **Central AI Brain:** A primary AI node receives the message and figures out what I want to do (my \"intent\").\n* **Delegation to Specialized Agents:** Based on the intent, it passes the task to a specific sub-workflow.\n * **Calendar/Task Agents:** These are straightforward nodes that connect directly to Google Calendar and Tasks APIs to create, get, or update events.\n * **Research Agent:** This is my favorite part. To avoid hallucinations and get current information, this agent doesn't just rely on a generic LLM. It's configured to query **Wikipedia** and my own **self-hosted Perplexity instance (**Perplexica is an open-source AI-powered searching tool**)** running on a private VM. This gives it reliable and up-to-the-minute data for my queries.\n * **Image Analysis:** For images, it calls an external API to perform OCR, then feeds the extracted text back to the main AI for interpretation.\n\nIt's been an incredibly powerful way to create a single, conversational interface for my digital life. The fact that I can host the core logic myself with n8n and even the research LLM makes it even better.\n\nWhat do you all think? Any other cool features I should consider adding to the workflow? Happy to answer any questions about the setupoutputTop Answer:\nCan you share the code for this setup?sourcereddit_n8nurlhttps://www.reddit.com/r/n8n/comments/1mtv9re/i_built_a_personal_ai_assistant_that_runs_my_life/ |
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instruction[Context: r/laravel] FilaForms - Native Filament form builder I built (visual builder, submissions, notifications, analytics)\n\nAfter years of rebuilding contact forms, newsletter signups, and application forms for every single Laravel project, I finally snapped and built a proper solution.\n\n[FilaForms](https://filaforms.app) \\- A Filament plugin that handles ALL your public-facing forms in one go.\n\n# The Problem It Solves\n\nEvery Laravel app needs forms that visitors fill out. Contact forms, job applications, surveys, newsletter signups - we build these over and over. Each time writing validation, handling file uploads, setting up email notifications, building submission dashboards, adding CSV exports...\n\n# What I Built\n\nA native Filament plugin that gives you:\n\n* **Visual form builder** with 25+ field types (including list-items, ratings, file uploads)\n* **Drag & drop interface** \\- no code needed for form creation\n* **Submission management dashboard** built into the Filament admin\n* **Built-in analytics** to see how your forms perform\n* **Conditional logic & multi-step forms** for complex workflows\n* **Auto-responders & email/in-app notifications** with customizable templates\n* **CSV/Excel exports** with bulk operations\n* **Progress saving** so users don't lose partially filled forms (coming soon)\n\n# The Technical Bits\n\n* It's pure Filament components under the hood (no iframes, no external JS libraries)\n* Self-hosted on your infrastructure - your data stays yours\n* Works with existing Filament panels and Livewire apps\n* Integrates with your current authorization\n\n# Some Background\n\nI've been contributing to the Filament ecosystem for a while (you might know Relaticle CRM, FlowForge, or Custom Fields). This is solving a problem I've personally faced in every Laravel project.\n\n**Link:** [filaforms.app](https://filaforms.app)\n\nHappy to answer any questions about the implementation, architecture decisions, or specific use cases. Also really interested in what types of forms you're all building most often - always looking for edge cases to handle better.","output":"Top Answer:\nOkay FilaForms day 1 was wild. \n\nYou all really stress-tested this thing. Fixed a bunch of issues, pushed updates, and it's way more stable now.\n\nThanks for being patient with the beta rough edges.\n\n(grab early bird pricing while I'm still fixing things 😅)","source":"reddit_laravel","url":"https://www.reddit.com/r/laravel/comments/1nomon2/filaforms_native_filament_form_builder_i_built/"} |
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{"instruction":"[Context: r/laravel] NativePHP finally goes truly native\n\n","output":"Top Answer:\nTruly Native as in it compiles your PHP code into Kotlin or Swift depending on the platform ? Or is it like Cordova still a webpage that uses native plugins for a few functionalities like share buttons ?\n\nIf it's the latter, it's fine but we really need to stop calling these hybrid apps \"Native\", because then how do you call an actual native app ?","source":"reddit_laravel","url":"https://www.reddit.com/r/laravel/comments/1i8p984/nativephp_finally_goes_truly_native/"} |
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{"instruction":"[Context: r/laravel] Laravel: When you're the entire dev team and still ship faster\n\nSaw this on LinkedIn, too relatable not to share.\n\noutputTop Answer:\nThis is true of most things. When one person is working on something, they own everything. They have the working knowledge of the entire codebase. You add more people, and they lose sight of that. They bring a different code style, flow, ideas, patterns, etc., that you may or may not agree with. They may have other repos and projects they work on, they may not be reviewing every PR that comes in, so they lose that insight. It's not necessarily a bad thing, but that's just how it goes 99% of the time.sourcereddit_laravelurlhttps://www.reddit.com/r/laravel/comments/1k1dh9h/laravel_when_youre_the_entire_dev_team_and_still/ |
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instruction[Context: r/laravel] Custom Fields v2.0 - Major Update for Filament Apps\n\n# Just shipped: Option Colors & Conditional Visibility 🎉\n\nAfter months of development, I'm excited to share Custom Fields v2.0 - a significant update to our Filament package that lets you add dynamic custom fields without database migrations.\n\n**What's New in v2.0:**\n\n**🌈 Option Colors**\n\n* Add visual color coding to select fields and radio buttons\n* Perfect for status fields, priority levels, and categories\n* Clients love the visual clarity it brings to their data\n\n**👁️ Conditional Visibility**\n\n* Show/hide fields based on other field values\n* Create smart, adaptive forms that respond to user input\n* No more cluttered forms - only show what's relevant\n\n# Why This Matters:\n\nAs Laravel developers, we've all been there - client wants \ and suddenly you're writing migrations, updating models, creating form components, and spending days on what should be simple changes.\n\nCustom Fields eliminates this pain entirely. Your clients can create their own fields through the admin panel, and when requirements change (they always do), you respond in minutes, not sprints.\n\n# Technical Highlights:\n\n* **Zero database changes** \\- Everything stored as JSON\n* **Type safety** \\- Full validation and casting support\n* **Seamless integration** \\- Works with existing Filament resources\n* **Performance optimized** \\- Efficient querying and caching\n\n# Field Types Supported:\n\nText, Number, Textarea, Rich Editor, Select, Multi-select, Radio, Checkbox, Date/DateTime, Color Picker, Tags, Toggle, Currency, Link, Markdown Editor, and more.\n\n# Real Developer Feedback:\n\n*\"Cut our development time by 50% and our clients love being able to create exactly what they need without waiting for us to code it.\"*\n\n\"I've tried building custom field functionality myself three times. This package does everything I needed and more, right out of the box.\,:,:,:} |
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{:Can we just add one more field to track employee count?\,:,:,:} |
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{:one more field\just add one more field\,:,:,:} |
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{:,:there's Laravel, and then there's the wrong choice.\,:,:} |
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